COMPLETE CURRICULUM VITAE

Updated January 20, 2017

Personal Data

Name: Jan LarsenDate of Birth: June 25, 1965, Stege, Denmark.

Gender: Male.Civil status: Married with two children.

Home Address: Birkholsmvej 20, DK-2800 Kongens Lyngby, Denmark.Phone: +45 22430025.Work Address: Department of Applied Mathematics and Computer Sci-ence, Technical University of Denmark, Richard PetersensPlads, Building 324, DK-2800, Kongens Lyngby, Denmark.Phone: +45 45253923. Phone: +45 45253923. Email:janla@dtu.dk

Webpage: http://people.compute.dtu.dk/janlaTwitter: http://twitter.com/janflynut

LinkedIn: http://dk.linkedin.com/in/janlarsendtuORCID: http://orcid.org/0000-0003-1880-1810

Education

2008 SVUD - New Faculty Supervisor Education, LearningLab DTU, 2008.1995 Course in Teaching and Learning, Dept. of Technology and Social Sciences, Tech-nical Univ. of Denmark, March 13–15, 1995.1993 Matriculated as PhD student at the Technical University of Denmark, Feb. 1, 1990.Thesis: “Design of Neural Network Filters”. Completed March 1, 1993. Degreeawarded Feb. 21, 1994.1989 MScEE degree from the Technical University of Denmark, Aug. 31, 1989. MasterThesis: “Knowledge-Based Adaptive Signal Processing” (in Danish).1984 Graduated from Vordingborg Gymnasium, June 23, 1984.

Employments

2016– Full Professor of Data Science and Complexity, Department of Applied Mathematicsand Computer Science, Technical University of Denmark.2009– Director of Danish Sound Innovation Network, hosted by Department of AppliedMathematics and Computer Science, Technical University of Denmark.

1998–2015 Associate Professor of Digital Signal Processing at Department of Applied Mathe-matics and Computer Science, Technical University of Denmark.1996 Visiting Scholar at Department of Electrical Engineering, University of Washington,Seattle, USA, with Prof. Jenq-Neng Hwang.

1996–1997 Assistant Professor of Digital Signal Processing at Department of MathematicalModelling, Technical University of Denmark.

1

1995–1996 Assistant Professor of Digital Signal Processing at Electronics Institute, TechnicalUniversity of Denmark.1994–1995 Assistant Research Professor at Electronics Institute, Technical University of Den-mark granted by The Radio-Parts Foundation.1993–1994 Post Doctoral Scientist at CONNECT, Electronics Institute, Technical University ofDenmark.1992–1993 Scientist at Electronics Institute, Technical University of Denmark granted by theComputational Neural Network Center (CONNECT).1990–1992 PhD scholarship at Electronics Institute, Technical University of Denmark.1989–1990 Introductory scholarship at Electronics Institute, Technical University of Denmark.1987–1988 Assistant instructor in Analog Electronics at Electronics Institute, Technical Uni-versity of Denmark.

Professional Activities

Research Area

• Machine learning, signal processing, and cognitive systems for applications in audio, multi-media, senor data, monitoring, biomedical, data/web-mining, and pattern recognition.Teaching

• Lecturer in undergraduate and graduate courses on statistical signal processing, audio infor-mation processing, and learning based methods.• Supervisor and co-supervisor for 32 PhD students.• Supervisor and co-supervisor for 82 MSc projects.• Supervision of numerous BSc projects as well as independent course students.• More than 60% carried out in collaboration with industrial partners, application holders, andend-users.Innovation

• Facilitation of knowledge facilitate knowledge dissemination and innovation through most re-cent research projects that involves private enterprises, organization, and stake-holders. Thisincludes strategic research projects such as CoSound, MUSE, and XSense.• Industrial PhD projects with private companies (MAN B&W Diesel, Foss, Nokia, Widex).• Carrying out more than 60% of master and bachelor projects are carried out in collaborationwith problem-holders.• Host and manager of the Danish Sound Innovation Network (2009-). Danish Sound is partof the national innovation infrastructure under Innovation Networks Denmark supported byThe Danish Agency for Science, Technology and Innovation. The main activity is facilitationof collaboration between Danish knowledge institution and industry though eighteen di�erentservices o�ered to the members. The network consist of more than 300 member organiza-tions and 650 individuals. Vision: Danish Sound is the facilitator of the national ecosystemfor SOUND, creates value for all parts in the value chain and contributes to growth and wealthin Denmark Mission: Sound technology products and services are broadly defined by the factthat sound is a central part of the problem or solution. Danish Sound is a national Danish net-work management unit and provides services that facilitate innovation within the five themes:Recording & Reproduction, Diagnostics & Monitoring, Digital Media, Designed Sound, and As-sistive Technologies.

2

Highlights:– The network collaborate with a number of prime partners such as: Danish and interna-tional networks/clusters (e.g. WelfareTech, Infinite, Medical Valley Germany,Screen.Brussels, Belgium; China Audio Industry Association); Cluster Excellence Den-mark; House of Sound (entrepreneur/start-up incubator); Innovation Centre Denmark(Ministry of Foreign A�airs and Higher Education and Science); Invest in Denmark; TheTrade Council Denmark; Copenhagen Capacity; Danish Industry Association; RegionalVaeksthus (Capital Region, Region Zealand, Central Denmark Region); and Danish Stan-dards Foundation.– Innovation projects which facilitate specific collaboration between universities/GTS andcompanies.– Entrepreneurship through House of Sound.– Internationalization delegation visits in China, Brazil, Silicon Valley and South Korea incollaboration with local organization and Innovation Centre Denmark.

Public media appearances

TV: The Culture on TV2 News, 19.03.2014.Radio: P4 Midt&Vest Morning 05.11.2015; Danish Radio P1 - The Hard Disk, 03.11.2014, 29.01.2016;Danish Radio P1 - Morning, 08.01.2015, 29.01.2016.Printed media: Contribution to numerous articles related to research and innovation activities aswell as direct statements - especially in relation to Danish Innovation Network.Research and Innovation Programs Participation

• Participation in Intelligent Drug Delivery and Sensing Using Microcontainers and Nanome-chanics (IDUN) , The Danish National Research Foundation and Villum Foundations Center,2015-2020.• Participation in NOx Project 2.0: Sensors for Improved Environmental & Economic Perfor-mance in Marine Combustion, Danish High Technology Foundation, HTF, 2013-2015.• Participation in CRIM-TRACK Sensor system for detection of criminal chemical substances.European Commission FP7 grant agreement 313202, 2014-2017.• Participation in INNOSORT Innovative optimal control and recycling of waste. Innovation Con-soritum supported by the Danish Agency for Science, Technology and Innovation, 2012-2016.• Coordinator of CoSound - A Cognitive Systems Approach to Enriched and Actionable Infor-mation from Audio Streams. Supported by the The Danish Council for Strategic Research,2012-2016.• Participation in MUSE - Multi sensor DVD platform. Supported by the Danish Council for Strate-gic Research, 2012-2016.• Participation in Predictive Health Monitoring of Wind Turbines based on Dynamic Characteri-zation. Supported by the EUDP program, 2011-2014.• Director of Danish Sound Innovation Network 2009-, which is part of the national innovationinfrastructure under Innovation Networks Denmark supported by The Danish Agency for Sci-ence, Technology and Innovation.Danish Sound Innovation Projects with participation and/or coordination by Jan Larsen, DTUCompute– Sound indexing in large audio archives, 2011.– Event Mobile, 2011.

3

– SoundTrip - Interactive 3D audio: Enhancing awareness of details in immersive sound-scapes?, 2012.– PA-systems and Sound Quality, 2013.– Data analysis of acoustic heart signals, 2013.– Design of a modular framework for evaluation of audio processing and retrieval, 2014-2015.

• Participation in Xsense - Miniaturised Sensors for Explosives Detection in Air. Supported bythe The Danish Council for Strategic Research on NABITT, 2008-2011.• Executive committee member of the Demining by Fusion of Techniques (DeFuse) project of theNordic Demining Research Forum, 2007-2010.• Participation in Intelligent Sound - Search and Retrieval in Dynamic Sound Databases. Sup-ported by the Danish Research Councils, 2005-2008.• Participation in Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL/PASCAL2). Network of Excellence under the European Commission’s sixth IST framework pro-gram, contract numbers 506778 and 216886, 2003-2013.• Participation in AE-WATT: Marine Power Plant Management and Monitoring using AcousticEmission, supported by EU under the Competitive and Sustainable Growth Program, 2002-2005.• Participation in Signal and Images Processing for Telemedicine (SITE) supported by the DanishResearch Councils.• Deputy head of Center for Neuroinformatics, IMM, DTU, supported by the Danish ResearchCouncils.• Participation in establishment of the Computational Neural Network Center (CONNECT) sup-ported by the Danish Research Councils since 1991. Participation in CONNECT’s activitieswithin neural signal processing and medical applications.• Partial participation in programs on brain scan analysis supported by the American HumanBrain Project, EU MAPOWAMO, EU BIOMED2 and the Danish Research Councils.• Humanitarian Demining Laboratory (HDL), IMM, Ørsted.DTU and Danish Defence Research Es-tablishment.• Statistical Signal Processing for Mine Clearance, Ørsted.DTU, IMM and Danish Defence Re-search Establishment, 2004–2007.• Participation in Center for Multimedia’s Distributed Multimedia Technologies and Applicationssupported by the Danish Research Councils.Talks, Lectures, and Seminars

All talks - some with links.1. Neural networks for signal processing, meeting in the ERFA group 9,“Digital Signal Processing”,Dantec Elektronik A/S, Copenhagen, May 31, 1990.2. The CONNECT Project and Neural Nets for Nonlinear Adaptive Filtering, Physics Department,The H.C. Ørsted Institute, University of Copenhagen, Copenhagen, Feb. 21, 1991.3. Towards Algorithms for Neural Architecture Determination, Physics Department, The H.C. ØrstedInstitute, University of Copenhagen, Copenhagen, Oct. 10, 1991.4. A New Generalization Error Estimator, CONNECT Journal Club, The Niels Bohr Institute, Uni-versity of Copenhagen, Copenhagen, March 5, 1992.5. A Generalization Error Estimate for Nonlinear Systems, 1992 IEEE Workshop on Neural Net-works for Signal Processing, Hotel Marienlyst, Helsingør, Denmark, Aug. 31, 1992.6. Optimizing Neural Network Architectures using Generalization Error Estimators, The RussianNeural Network Society Workshop on Algorithms for Information Processing in Neural-Type

4

Systems, Nizhny Novgorod, Russia, Sept. 14, 1993.7. Aspects on Optimizing Neural Network Architectures for Time Series Applications, ComputerScience & Engineering, Oregon Graduate Institute, Portland, OR, USA, Jan. 14, 1994.8. Supervised Learning and Neural Network Architectures, Institute of Biology, University of Odense,Odense, May 16 – 17, 1994. Co-instructor at the open workshop: “Pattern Recognition by Ar-tificial Neural Networks”.9. Optimizing Neural Network Architectures for Time Series Applications, Fourteenth Annual In-ternational Symposium on Forecasting, Stockholm, Sweden, June 14, 1994.10. Apects on Optimizing Neural Network Architectures for Time Series Applications, Departmentof Electrical Engineering, Linkoping University, Linkoping, Sweden, June 17, 1994.11. Generalization Performance of Regularized Neural Network Models, 1994 IEEE Workshop onNeural Networks for Signal Processing, Ermioni, Greece, Sept. 6, 1994.12. Empirical Generalization Assessment of Neural Network Models, 1995 IEEE Workshop on Neu-ral Networks for Signal Processing, Cambridge, Massachusetts, Sept. 2, 1995.13. Neural Networks: A Modern Technique for Solving Complex Problems, Seminar for the IDAElectrical Engineering Group, Helsinør, Denmark, Oct. 10, 1995.14. Unsupervised Learning and Generalization, 1996 IEEE Int. Conference on Neural Networks,Washington DC, USA, June 3, 1996.15. Aspects on Optimizing Neural Network Architectures, Dept. of E.E., Univ. of Washington, WA,USA, June 13, 1996.16. Design and Regularization of Neural Networks: The Optimal Use of a Validation Set, NASAAmes Research Center, Palo Alto, CA, USA, June 19, 1996.17. Design and Regularization of Neural Networks: The Optimal Use of a Validation Set, CRC Ricoh,Palo Alto, CA, USA, June 20, 1996.18. Design and Regularization of Neural Networks: The Optimal Use of a Validation Set, 1996 IEEEWorkshop on Neural Networks for Signal Processing, Kyoto, Japan, Sept. 6, 1996.19. Adaptation and Regularization of Neural Networks, Interdisciplinary Inversion Workshop 4,DTU, Sept. 24, 1996.20. Design and Regularization of Neural Networks: The Optimal Use of a Validation Set, 1996 NIPSWorkshop, Aspen, CO, USA Dec. 7, 1996.21. Neural Networks: A Modern Technique for Signal and Image Modelling, IDA’s E-group meeting,Copenhagen April 3, 1997.22. Artificial Intelligence and Neural Networks, Roskilde Katedralskole, Roskilde, Oct. 1, 1997.23. Neural Networks: A Modern Technique for Complex Learning, Danish Society of Phamacologyand Toxicology meeting, Gl. Avernæs, Ebberup, Denmark, February 21, 1998.24. Neural Networks for Medical Image Analysis, The Danish Society for Biomedical Engineering,Herlev, Denmark. May 5, 1998.25. Design of Robust Neural Network Classifiers, at the IEEE International Conference on Acous-tics, Speech and Signal Processing, May 14, 1998, Seattle, USA.26. Adaptive Regularization of Neural Networks using Conjugate Gradient, at the IEEE Interna-tional Conference on Acoustics, Speech and Signal Processing, May 14, 1998, Seattle, USA.27. Signal Processing in MineHunt Systems, Nordic Demining Reserach Forum Workshop, DTU,Denmark. June 22, 1998.28. Selfsupervised but generalizable, in Integrating Supervised and Unsupervised Learning at1998 NIPS Workshop, Breckenridge, CO, USA, Dec. 4, 1998.29. Adaptive Regularization and Robust Classification Using An Empirical Generalization Frame-work, International Seminar on Statistical Physics of Neural Networks, Max Planck Institute,Dresden, Germany, March 2, 1999.30. Introduction to Neural Networks, SimCorp A/S, Copenhagen, May 12, 1999.31. Statistical Learning and Detection in Mine Clearance, Nordic Demining Reserach Forum Work-shop, Eksjo, Sweden. June 9, 1999.

5

32. Generalization: A Hidden Agenda in System Identification, MED99, The 7th MediterraneanConference on Control and Automation, Haifa, Israel, June 28, 1999.33. On Optimal Data Split for Generalization Estimation and Model Selection, NNSP’99, IEEE Work-shop on Neural Networks for Signal Processing, Madison, Wisconsin August 24, 1999.34. Introduction to Neural Networks, Oticon A/S, Copenhagen, February 15, 2000.35. Virtual Brains, DTU Visondays: 3D Image Analysis and Virtual Reality, IMM, DTU, Copenhagen,June 14, 2000.36. Introduction to Neural Networks, continuing education course, Cellwave, August 2000.37. Signal Processing for GPR Signal/Clutter Improvement, Nordic Demining Research Forum Work-shop, Bergen, Norway, August 24, 2000.38. Webmining: Learning from the World Wide Web, International meeting on Nonlinear Methodsand Datamining 2000, Rome, Italy, September 26, 2000.39. On Comparison of Adaptive Regularization Methods , NNSP’2000, IEEE Workshop on NeuralNetworks for Signal Processing, Sydney, Australia December 11, 2000.40. Webmining: Learning from the World Wide Web, GMD First, Berlin, Germany, March 9, 2001.41. Hierarchical Clustering and ICA for Webmining, Statistical Mechanics of Information Process-ing in Cooperative Systems, Max Planck Institute, Dresden, Germany, March 12, 2001.42. Landmine Detection Technolgies in Perspective, Nordic Demining Reserach Forum Workshop,Ebeltoft, Denmark, August 30, 2001.43. Hierarchical Clustering for Datamining, Knowledge-Based Intelligent Information EngineeringSystems & Allied Technologies, KES’2001, Osaka and Nara, Japan September 6, 2001.44. Neural Networks: A Learning Based Approach, Tutorial at course on Statistical Methods forDatamining, Societa Italiana di Statistica, Rome, Italy, October 18, 2001.45. Web Mining: A Learning Based Approach, Tutorial at course on Statistical Methods for Datamin-ing, Societa Italiana di Statistica, Rome, Italy, October 19, 2001.46. Web Mining: A Learning Based Approach, invited lecture at Universita di Urbino, Rome, Italy,Oct. 20, 2001.47. Web Mining: A Learning Based Approach, tutorial at the course Statistical Methods for Datamin-ing, Societa Italiana di Statistica, Rome, Italy, Oct. 19, 2001.48. Neural Networks: A Learning Based Approach, tutorial at the course Statistical Methods forDatamining, Societa Italiana di Statistica, Rome, Italy, Oct. 18, 2001.49. Signal Detection using ICA: Application to Chat Room Topic Spotting, 3rd International Con-ference on Independent Component Analysis and Blind Signal Separation, ICA 2001, Dec. 11,2001, San Diego, USA.50. Kernel ICA Copenhagen Image and Signal Processing Graduate Workshop, Bornholm, April12, 2002.51. Humanitarian Demining Laboratory, Nordic Demining Research Forum Summer Conference,Rosersberg, Stockholm, Sweden, August 29, 2002.52. Evaluation of Mine Detection Equipment, Nordic Demining Research Forum Summer Confer-ence, Rosersberg, Stockholm, Sweden, August 30, 2002.53. Statistical Learning for Mine Detection, NTNU, Trondheim, Norway, November 14, 2002.54. Learning Methods for World Wide Web Analysis, Departo de Teorı’a de la Senal y Comunica-ciones, Universidad Carlos III de Madrid, February 7, 2003.55. Independent Component Analysis in Multimedia Modeling , 4th International Symposium onIndependent Component Analysis and Blind Signal Separation, ICA2003, April 3, 2003, Nara,Japan (invited).56. Digital Signal Processing, continuing education course, Oticon, April 25, 2003.57. Independent Component Analysis in Multimedia Modeling , Copenhagen Image and SignalProcessing Graduate Workshop, Ebeltoft, May 7, 2003.58. Basics of Bayesian Learning: Basically Bayes, Tutorial at Computer Science and Electrical En-gineering, Univ. of Maryland, Baltimore County, USA, August 21, 2003.

6

59. A possible next step in mine clearance: combining existing equipment, Nordic Demining Re-search Forum Summer Conference, Bergen, Norway, August 28, 2003.60. A possible next step in mine clearance: combining existing equipment, Nordic Demining Re-serach Forum Mini Seminar, Skive, Denmark, November 6, 2003.61. Towards an technology early warning system (in Danish), Danish Union of Electricians Meeting,March 25, 2004.62. A possible next step: combining existing equipment, Nordic Demining Reserach Forum MiniSeminar, Hvalsmoen, Norway, March 11, 2004.63. Mine Clearance by Combined Methods: An improved way to use existing techniques, NordicDemining Research Summer Conference, Frederikshavn, Denmark, Aug. 25, 2004.64. Part-Of-Speech Enhanced Context Recognition, 2004 IEEE Machine Learning for Signal Pro-cessing Workshop, Sao Luis, Brazil, Oct. 1, 2004.65. Learning Based Signal Processing for Nonlinear Compensation, IEEE/AES Symposium, IMM,Technical University Denmark, Dec. 2, 200466. COLUMBINE: Mine Clearance by Combined Methods, Nordic Demining Research Summer Con-ference, Stockholm, Sweden, Aug. 24, 2005.67. Search for Sound - a Machine Learning Approach, CS&EE Dept., University of Maryland Balti-more County, March 10, 2006.68. New Applications of Learning Machines, Ph.D. summer school Frontiers in Information Pro-cessing and Telecommunications, Real Academia de Ingenieria, Madrid, Spain, July 14, 2006.69. Basics of Bayesian Learning - Basically Bayes, tutorial presented at IEEE Workshop on MachineLearning for Signal Processing, Maynooth, Ireland, September 8, 2006.70. Statistical Decision Making for Mine Action, tutorial presented at Nordic Demining ResearchForum Post Graduate Weekend Seminar, Hevring, Denmark, October 29, 2006.71. Extracting Meaning from Audio Signals - a Machine Learning Approach, Communications andSignal Processing Group, Department of Electrical and Electronic Engineering, Imperial Col-lege, London, UK, May 4, 2007.72. Scientific Foundations of the Demining by Fusion of Techniques Project, tutorial presented atNordic Demining Research Forum Summer Conference, Varde, Denmark, August 22, 2007.73. Wind Noise Reduction Using Non-negative Sparse Coding, lecture at IEEE International Work-shop on Machine Learning for Signal Processing 2007, Thessaloniki, Greece, August 28, 2007.74. Statistical framework for decision making in mine action, tutorial presented at Nordic DeminingResearch Forum Post Graduate Weekend Seminar, Hevring, Denmark, October 7, 2007.75. Data processing framework for decision making, presented at Nordic Demining Research Fo-rum Workshop Molecular and Odour Detection, Odense, Denmark, March 5, 2008.76. Xsense - miniaturized sensors for explosives detection in air , presented at Nordic DeminingResearch Forum MiniSeminar, Odense, Denmark, March 6, 2008.77. Xsense - miniaturized sensors for explosives detection in air , presented at Nordic DeminingResearch Forum Summer Conference, Skovde, Sweden, August 28, 2008.78. Data processing framework for decision making, presented at Nordic Demining Research Fo-rum Summer Conference, Skovde, Sweden, August 28, 2008.79. Introduction to detection systems, presented at Nordic Demining Research Forum Post Grad-uate Weekend Seminar, Hevring, Denmark, September 27, 2008.80. Statistical framework for decision making in mine action, tutorial presented at Nordic DeminingResearch Forum Post Graduate Weekend Seminar, Hevring, Denmark, September 28, 2008.81. Cognitive Systems, tutorial presented at IEEE Workshop on Machine Learning for Signal Pro-cessing, Cancun, Mexico October 16, 2008.82. Reduction of non-stationary noise using a non-negative latent variable decomposition, pre-sented at IEEE Workshop on Machine Learning for Signal Processing, Cancun, Mexico, October19, 2008.83. Cognitive Systems - A Systems Engineering Approach, talk presented at Departo de Teorıa de

7

la Senal y Comunicaciones, Universidad Carlos III de Madrid, Madrid, Spain, July 14, 2009.84. Technology facilitators for experience economy and creativity, Danish Experience Economymeeting on Danish research within culture and experience economy, meeting arranged by Dan-ish Experience Economy, ApEx, Center for Applied Experience Economy, Aaalborg Univeristyand, Danish Art Schools Holmen, Copenhagen, August 26, 2009.85. About the network and goals, Kick-o� meeting, Danish Sound Technology Network, Copen-hagen Jazzhouse, Copenhagen, May 26, 2009.86. Den multidisciplinære innovationsproces - frugtbart samspil pa tværs af faglige kulturer, Inno-vation workshop, Danish Sound Technology Network, Science Park, Aarhus, March 8, 2010.87. Lydteknologisk Matchmaking, Matchmaking Event, Danish Sound Technology Network, VEGA,Copenhagen, February 23, 2010.88. Extracting meaning from audio signals a machine learning and signal processing approach,CAIA matchmaking meeting, Danish Sound Technology Network, DTU, Copenhagen, May 10,2010.89. Highlights of DTUs Sound Technological Achievements, CAIA matchmaking meeting, DanishSound Technology Network, DTU, Copenhagen, May 10, 2010.90. DTU Informatics Sound Technology Competence, Matchmaking meeting, Danish Sound Tech-nology Network, Den Sorte Diamant, Copenhagen, Nov. 23, 2010.91. Innovation Across Academia and Corporate Businesses, Matchmaking meeting, Danish SoundTechnology Network, Den Sorte Diamant, Copenhagen, Nov. 23, 2010.92. Innovation Across Academia and Corporate Businesses, Matchmaking meeting, Danish SoundTechnology Network, Shanghai, China, October, 2010.93. Sound technology partnerships, China Sound Meeting, Danish Sound Technology Network,Eigtveds Pakhus, Copenhagen, April 13, 2011.94. Positions of Strength aka Danish Sound Tech High Volume, Position of Strength Workshop,Danish Sound Technology Network, DTU, Copenhagen, May 31, 2011.95. Cognitive Information Processing - a relevant trend for MLSP, trend session talk presented atICASSP 2011, Prague, Czech Republic, May 25, 2011.96. Cognitive Information Processing, invited PhD course held at Departo de Teorı’a de la Senal yComunicaciones, Universidad Carlos III de Madrid, Madrid, Spain, June 6-10, 2011.97. Extracting meaning from audio signals a machine learning and signal processing approach,CAIA matchmaking meeting, Danish Sound Technology Network, DTU, Copenhagen, June 17,2011.98. Highlights of DTUs Sound Technological Achievements, CAIA matchmaking meeting, DanishSound Technology Network, DTU, Copenhagen, June 17, 2011.99. Danish Research in Sound Technologies, Danish delegation tour, Sino-Danish Acoustic andSound Technology Forum, Danish Sound Technology Network, Guangzhou, China, September25-29, 2011.100. Research at DTU Informatics and DTU Electro, Danish delegation tour, Sino-Danish Acous-tic and Sound Technology Forum, Danish Sound Technology Network, Guangzhou, China,September 25-29, 2011.101. Extracting Meaning from Sound Signal - A Machine Learning Approach, invited talk IDA-ITSociety for Information Technology, Ingeniørhuset, Kalvebod Brygge, Copenhagen, February1, 2012.102. Eliciting Preferences in Music, presented at Versamus 2012 Workshop on Advances in MusicSignal and Information Processing, Tokyo, Japan, March 31, 2012.103. Research at DTU Informatics and DTU Electro, Chinese delegation visit, Danish Sound Tech-nology Network, DTU, Danish Sound Innovation Net Copenhagen, April 23, 2012.104. Combining Semantics and Acoustic Features for Valence and Arousal Recognition of Speech,presented at CIP2012, Baiona, Spain, May 30, 2012.105. Transducerudviklingscenter, Workshop om mulighederne for transducerudviklingscenter, Dan-

8

ish Sound Technology Network, Bella Sky Hotel, Copenhagen, June 4, 2012.106. Nationalt Transducerudviklingscenter, Working group meeting, Danish Sound Technology Net-work, Bella Sky Hotel, Copenhagen, August 23, 2012.107. Interactive 3D Audio: Enhancing awareness of details in immersive soundscapes, presentedat AES 133rd Convention, San Francisco, October, 2012.108. Nationalt Transducerudviklingscenter, working group meeting, Danish Sound Technology Net-work, Aalborg University, Aalborg, November 2, 2012.109. I Kina syr de med laaaang trad, Netmatch workshop: Internationalisering erfaringer og fremtidsper-spektiver, Danish Sound Innovation Network, First Grand Hotel, Odense, January 22, 2013.110. Danish Sound - A position of strength with a long history and bright future, Invest in Denmarkseminar, Danish sound Innovation Network, Eigtveds Pakhus, Copenhagen, April 9, 2013.111. Danish Sound - A position of strength with a long history and bright future, conference Lydenaf Danmark, Danish Sound Innovation Network, Christiansborg, Copenhagen, April 25, 2013.112. Creating meaning in audio and music signals, invited talk TU Graz, Graz, Austria, April 22,2013.113. Sammenhæng og synergi mellem lyduddannelser i Danmark, Audio Education Workshop, Dan-ish Sound Innovation Network, Det Kongelige Danske Musikkonservatorium, Copenhagen, April30, 2013.114. Hearing as Innovation Focus, ATV theme meeting Høreteknologiske Muligheder, Danish SoundInnovation Network Widex, May 21, 2013.115. Digital Audio challenges and possibilities, seminar, Danish Sound Innovation Network, BellaSky Hotel, Copenhagen, June 21, 2013.116. Creating meaning in audio and music signals, invited talk Glasgow University, Glasgow, Scot-land, UK, October 2, 2013.117. Danish Sound - A position of strength with a long history and bright future, The Sound of Den-mark delegation to Silicon Valley, Danish Sound Innovation Network, Silicon Valley, October21, 2013.118. Cognizant audio systems - fully informed and aware systems, panel discussion The Sound ofDenmark delegation to Silicon Valley, Danish Sound Innovation Network, Silicon Valley, Octo-ber 22, 2013.119. Creating meaning in audio and music signals, invited talk Universidade Federal do Rio deJaneiro, Rio de Janeiro, Brazil, November 25, 2013.120. Creating meaning in audio and music signals, invited talk TV Globo, Rio de Janeiro, Brazil,November 27, 2013.121. Creating meaning in audio and music signals, invited talk Universidade de So Paulo , Sao Paulo,Brazil, November 29, 2013.122. Danish Sound - A position of strength with a long history and bright future, Conference: Givlyd Danmark - Tre Super-Sessioner om Digital Lyd, Danish Sound Innovation Network, DanishSound Innovation Network, Aalborg University Copenhagen, Copenhagen, April 23, 2014.123. Danish Sound - A position of strength with a long history and bright future, Workshop onSound & ICT in South Korea, Danish Sound Innovation Network, Eigtveds Pakhus, Copenhagen,November 7, 2014.124. Cognitive Audio Information Modelling, invited lecture at PhD course held at PhD School onAdvanced Psychoacoustics, Aalborg University, Aalborg, Denmark, November 11, 2014.125. Danish Sound - A position of strength with a long history and bright future, Korea University,South Korea, January 19, 2015.126. Danish Sound - A position of strength with a long history and bright future, Korean Institutefor Advancement of Technology (KIAT), South Korea, January 20, 2015.127. Perspectives on Bayesian Optimization for HCI, CHI’2015 Workshop on Principles, Techniquesand Perspectives on Optimization and HCI, April 19, 2015.128. Danish Sound - A position of strength with a long history and bright future, Global Entrepreneurial

9

Energy Camp, KAIST University, South Korea, August 19, 2015.129. Cognitive Audio Information Modelling, Sound and Music Computing Colloquium, Aalborg Uni-versity, Copenhagen, September 5, 2015.130. Setting the Scene and Recommendations from the SoundCARE Group , Danish Sound Sound-Care Workshop and Meeting with European Parliament, Nov. 9, 2015, Brussels, Belgium.131. Cognitive Audio Information Modeling?, Interacoustics, Middelfart, Denmark, April 25, 2016.132. Is machine learning a magic tool for data science?, Inaugural Professor Lecture, DTU, KongensLyngby Denmark, May 27, 2016.133. Is Music the New Medicine without Side E�ects, Folkemdet 2016 - Denmark’s Policy Festival,Allinge, Bornholm, Denmark, June 16, 2016.134. Is machine learning a magic tool for data science?, Deloitte, Copenhagen, Denmark, Sept. 6,2016.135. Is Music the New Medicine without Side E�ects, invited talk at WHINN - Weak of Health andInnovation, Odense, Denmark, Oct. 6, 2016.136. Machine Learning and AI in Law Enforcement, National Police Network Meeting, Nyborg, Den-mark, Oct. 27, 2016.137. Are Machine Learning and AI the Magic Tools in Industry 4.0?, invited talk at Industry 4.0 -Digital Transformation and Global Business Opportunities, Aarhus, Denmark, Nov. 3, 2016.138. Interactive Crowdsourcing for Big Data, invited presentation at DEIC National SupercomputingDay, Kongens Lyngby, Denmark, Nov. 7, 2016.139. Is machine learning a magic tool for data science?, Professor Association DTU Meeting, Kon-gens Lyngby, Denmark, Nov. 9, 2016.140. Cross Collaboration Challenge, NEM Summit 2016, Portugal, Nov. 24, 2016.Conferences

Participation in 178 national and international conventions, conferences, workshops, and meet-ings on professional topics such as neural network, machine learning and signal processing andapplications as well as conferences and events related to innovation and scientific and innovationpolicies. Numerous scientific presentations have been given. In addition, numerous national andinternational addresses have been made in connection with events organized by the Danish SoundInnovation Network. See further section on Talks, Lectures, and Seminars.• Web and Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing,Tpokyo, Japan, Sept. 25–28, 2017.• Web and Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing,Vietri sul Mare, Salerno, Italy, Sept. 13–16, 2016.• Web and Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing,Boston, USA, Sept. 17–20, 2015.• Program Committee (PC) member for 12’th International Conference on Latent Variable Anal-ysis and Signal Separation (LVA2015), Liberec (Czech Republic, August 25-28 2015.• Web and Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing,Reims, France, Sept. 21–24, 2014.• Program Chair of the 4th International Workshop on Cognitive Information Processing, Copen-hagen, Denmark, May 26–28, 2014.• Web and Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing,Southampton, UK, Sept. 22–25, 2013.• Web and Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing,Santander, Spain, Sept. 23–26, 2012.• Scientific Program Chair of the 9th Sound and Music Computing Conference (SMC2012), Copen-hagen, Denmark, July 12–14, 2012.

10

• Web and Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing,Beijing, China, Sept. 18–21, 2011.• Technical Program Committee member of the 20th International Conference on Pattern Recog-nition, Istanbul, Turkey, 23–26 August, 2010.• Technical Program Committee member of Cognitive Information Processing (CIP2010), June14-16, Elba, Italy, 2010.• Web and Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing,Kittila, Finland, Aug. 29–Sept. 1, 2010.• Technical Program Chair European Signal Processing Conference (EUSIPCO’2010), August23–27, Aalborg, Denmark, 2010.• Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing, Grenoble,France, Sept. 2–4, 2009.• Technical Chair of the 8th Nordic Signal Processing Symposium, NORSIG 2008, Copenhagen,June 4-6, 2008 (cancelled).• Publication Chair of the IEEE Workshop on Machine Learning for Signal Processing, Cancun,Mexico, October, 2008.• Special Session Track Chair in the areas of Digital Signal Processing and Blind Signal Process-ing of the IEEE International Symposium on Circuits and Systems (ISCAS), 2008.• Program Committee member of Cognitive Information Processing June 9-10, Santorini, Greece,2008.• Program Committee member of International Conference on Machine Learning 2007.• Technical Chair of the IEEE Workshop on Machine Learning for Signal Processing, 2007, Thes-saloniki, Greece, Aug. 27–29, 2007.• Program committee member of the The Eighth IASTED International Conference on Signal andImage Processing, SIP 2006, August 14–16, 2006, Honolulu, Hawaii, USA.• Technical committee member of the Nordic Signal Processing Conference (NORSIG), Reykjavik,Iceland, June 7–9, 2006.• Program Chair of the IEEE Workshop on Machine Learning for Signal Processing, 2006, Maynooth,Ireland, Sept. 6–8, 2006.• Program committee member of the The Second International Workshop on Biosignal Process-ing and Classification, BPC 2006, August 1-2, 2006, Setubal, Portugal.• Program committee member of the The First International Workshop on Biosignal Processingand Classification, BPC 2005, 13–14 September 2005, Barcelona, Spain.• Program committee member of the 2nd Joint Joint Workshop on Multimodal Interaction andRelated Machine Learning Algorithms, 11–13 July 2005, Royal College of Physicians, Edin-burgh, UK.• Co-organizer of Symposium on Nonlinear Compensation of Loudspeakers, Dec. 2, 2004, IMM,DTU. Orginzed by IMM, Ørsted.DTU DTU in collaboration with IEEE Denmark Section and AESDenmark Section.• Co-organizer of NIPS Workshop on Multimodal Signal Processing, Dec. 17, 2004.• Program Chair of the IEEE Workshop on Machine Learning for Signal Processing, 2005, Mystic,Connecticut, USA, Sept. 28–30, 2005.• Program Chair of the IEEE Workshop on Machine Learning for Signal Processing, 2004, SaoLuıs, Brazil, Sept. 22–24, 2004.• Program committee member of the Joint AMI/PASCAL/M4/IM2 Workshop on Machine Learn-ing for Multimodal Interfaces Centre du Parc, Martigny, Switzerland, June 21–23, 2004.• Member of advisory board of the Multi-Intelligent Knowledge Systems Conferences MISKC-2004 and International Conference on Intelligent Knowledge Systems: Artificial Intelligenceand Neural Networks IKS-AINN 2004, August 16-20, Kusadasi, Turkey, 2004.• Member of International Advisory Board of the International Conference on Artificial Intelli-gence and Information Processing, ICAIIP 2004, 26–28 April 2004, Assos, Turkey.

11

• Program committee member Nordic Demining Research Forum summer conference, 2003,2004, 2005, 2006.• Program Chair of the IEEE Workshop on Neural Networks for Signal Processing, 2003, Toulouse,France, Sept. 17–19, 2003.• Member of the technical committee of the Seventh International Symposium on Signal Pro-cessing and its Applications ISSPA 2003, Paris, France, July 1–4, 2003.• Program Chair of the IEEE Workshop on Neural Networks for Signal Processing, 2002, Mar-tigny, Valais, Switzerland.• Program Chair of the IEEE Workshop on Neural Networks for Signal Processing, 2001, Fal-mouth, Massachusetts, USA.• Program Chair of the IEEE Workshop on Neural Networks for Signal Processing, 2000, Sydney,Australia.• Member of the Program Committee of 2000 International Symposium on Multimedia Informa-tion Processing, Sydney, Australia.• Program Chair of the IEEE Workshop on Neural Networks for Signal Processing, 1999, Madison,Wisconsin.• Program committee member of the IEEE International Workshop on Multimedia Signal Pro-cessing, 1999, Copenhagen, Denmark.• Program committee member of the IEEE Workshop on Neural Networks for Signal Processing,1998, Cambridge, England.• Co-chair at the SPIE conference: Photonics Taiwan ’98: I/O and Imaging Technology, July9-11, Taipei, Taiwan, 1998.• Co-chair of evening panel Beyond Toy-Problems; Employing Neural Networks in Practice, IEEEWorkshop on Neural Networks for Signal Processing, Kyoto, Japan, Sept. 4, 1996.• Session chair at– Workshop on Cognitive Information Processing, 2008, 2012.– Nordic Demining Research Forum, 2005, 2006, 2007.– IEEE Workshop on Neural Networks for Signal Processing, 1996, 1997, 1998.– IEEE Workshop on Machine Learning for Signal Processing 2004, 2005, 2006, 2007,2008, 2012.– IEEE International Conference on Acoustics, Speech and Signal Processing, 1997, 1998,2001, 2002, 2003, 2006, 2007, 2008, 2010, 2011.– IEEE International Conference on Neural Networks, 1996.

• Organizer of the special session Semantic Audio Organization and Retrieval Integrating Userand Audio Information at ASE 53rd International Conference on Semantic Audio AES, January27-29, 2014, London, UK.• Organizer of the special session Cognitive Audio Modeling and Crowd Sourcing at 3rd Interna-tional Conference on Cognitive Information Processing, CIP2012, May 30, 2012, Parador deBaiona, Spain.• Organizer of the special session ICA/BSS for Multimedia Signal Processing at 4th InternationalSymposium on Independent Component Analysis and Blind Signal Separation, ICA2003, April3, 2003, Nara, Japan.• Organizer of the special session Beyond Toy-Problems: Real-World Signal Processing Applica-tions using Neural Networks at the IEEE International Conference on Acoustics, Speech andSignal Processing, 1998.

Research Visits

Numerous research visits has been carried out e.g. at Oregon Graduate Institute, USA; LinkopingUniversity, Sweden; NASA Ames Research Center, USA; CRC Ricoh USA; University of Washington,12

USA; GMD First and Technical University Berlin, Germany; Universidad Carlos III, Spain; University ofToronto, Canada; Univ. of Maryland, Baltimore County, USA; Xerox Research Centre Europe, France;KU Leuven, Belgium; Imperial College, UK; National Research Council Canada, Canada; General Elec-tric Global Research, USA; Columbia University, NY, USA; TU Graz, Austria. University of Glasgow,Scotland, UK.Editorial

• Guest Editorial: Machine Learning for Signal Processing, Journal of Signal Processing Systems,vol. 74(3), pp. 281-283, 2014• Editorial Board Member of Signal Processing Systens, Springer, 2008-.• Guest editor of special issue of Neurocomputing on Machine Learning for Signal Processing,DOI: 0.1016/j.neucom.2008.08.004, 2008.• Editorial Board Member of Signal Processing, Elsevier, 2006-2007.• Guest editor of special issue of Journal of VLSI Signal Processing Systems on Machine Learningfor Signal Processing, 2006.• Guest editor of special issue of Journal of VLSI Signal Processing Systems on Machine Learningfor Signal Processing, vol. 37, no. 2,3, 2004.• Guest editor of special issue of Neurocomputing on Machine Learning for Signal Processing,2006.• Guest editor of special issue of IEEE Transactions on Neural Networks on Intelligent MultimediaProcessing, vol. 13, no. 4, July 2002.• Guest editor of special issue of Journal of VLSI Signal Processing Systems on Neural Networksfor Signal Processing, vol. 31, no. 1, May 2002.Reviews

• Advances in Computational Mathematics, 1995.• Advances in Neural Information Processing Systems (NIPS), 1998, 2001, 2002, 2006, 2007,2008, 2009, 2012, 2013, 2014.• Cambridge University Press, New York, USA, 1997, 1998.• European Signal Processing Conference, EUSIPCO, 2007,2015.• European Commission, IST, ESPRIT, FP6 and FP7 program reviews, 2002, 2003, 2004, 2005,2007.• Engineering and Physical Sciences Research Council (EPSRC), United Kingdom, 2003, 2004.• Fund for Scientific Research - Flanders (F.W.O.), Belgium, 2002, 2003, 2004, 2005, 2006,2007, 2008, 2010.• Danish GTS institute review for Danish Agency for Science Technology and Innovation, 2011.• National Research Network, FWF, Austria, 2011.• IEEE Signal Processing Letters, 2010.• IEEE Transactions on Biomedical Engineering, 1998.• IEEE Transactions on Circuits and Systems for Video Technology, 1998.• IEEE Transactions on Geoscience and Remote Sensing, 1999.• IEEE Transactions on Neural Networks, 1996, 1997, 1998, 1999, 2003.• IEEE Transactions on Signal Processing, 1996, 1997.• IEEE International Conference on Acoustics, Speech and Signal Processing, 1997, 1998, 1999,2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2014, 2015,2016.• IEEE International Symposium on Circuits and Systems, 2001.• International Conference on Artificial Neural Networks, 1998, 1999, 2011.• 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008.13

• International Conference on Machine Learning, 2007.• IEEE Workshop on Machine Learning for Signal Processing, 2009, 2010, 2012, 2014.• IEEE Workshop on Multimedia Signal Processing, 1999.• IAPR Workshop on Cognitive Information Processing, 2010.• IEEE Workshop on Statistical Signal Processing (SSP’11), 2011.• International Conference on Neural Networks, 1995.• International Journal on Neural Systems, 1995.• International Journal of Refrigeration, 1999.• 15th Scandinavian Conference on Image Analysis (SCIA), 2007.• Seventh International Symposium on Signal Processing and its Applications ISSPA, 2003.• IEEE Workshop on Neural Networks for Signal Processing, 1997, 1998.• Pattern Recognition, 2002.• Research Council of Norway, 2016.• University Center review, Linnaeus University, Sweden, 2016.• Special Issue of the VLSI Signal Processing Systems Journal, 1999.• The Wellcome Trust, UK, 1998.Committees

1. Member of IEEE Signal Processing Society Conference Board 2017-2018.2. Chairman of Associate Professor evaluation committee on Digital Media Engineering, TechnicalUniversity of Denmark, Denmark, December 2016.3. Member of ATV Steering Group for Digitalization and Big Data, 2016-.4. Member of advisory board for DELTA’s Competence Center for Consumer preferences in Mul-timedia, 2016-2019.5. Member of Adjunct Associate Professor evaluation committee, Aalborg University, Aalborg,Denmark, June 2015.6. Chairman of Associate Professor evaluation committee on Digital Media Engineering, TechnicalUniversity of Denmark, Denmark, June 2015.7. Chairman of Assistant/Associate Professor evaluation committee on Human Computer Inter-action (HCI), Technical University of Denmark, Denmark, December 2014.8. Member of Associate Professor evaluation committee on Signal processing with Special Em-phasis on Compressive Sensning, Aalborg University, Aalborg, Denmark, September 2014.9. Steering committee member of the Danish delegation of the Sound and Music Computing,2013-.10. Member of board for Struer Municipality’s initiative ”Struer City of Sound”, 2013-.11. Member of advisory board for DELTA’s Competence Center for Reproduced Sound, 2013-2015.12. Member of assistant professor evaluation committee, Aalborg University, 2011.13. Member of assistant professor evaluation committee, Aalborg University, 2010.14. Member of advisory board for Netmatch - network organization for innovation networks inDenmark, 2010-2014.15. Member of advisory board for Cluster Excellence Denmark - national support function for clus-ters and innovative networks in Denmark, 2015-.16. Member of Danish National Examiner Committees 2002–2006, 2006–2010, 2010–2015.17. Chairman of external lecturer evaluation committee, DTU Informatics, December 2009, 2010.18. Member of advisory group of the LightSound Project (LysLyd), Copenhagen International The-ater, 2009-2011.19. Chairman of postdoc evaluation committee, DTU Informatics, March 2008.20. Member of assistant professor evaluation committee, Aalborg University, 2007.21. Member of the Technical Committee 14: Signal Analysis for Machine Intelligence of the Inter-national Association for Pattern Recognition, 2006.14

22. Steering committee member of the Audio Signal Processing Network in Denmark, 2006-.23. Member of planning committee of the FOSS Challenge student competition 2005-2006.24. Chairman of IEEE Denmark Section’s Signal Processing Chapter, 2002-.25. Associate Member of the Machine Learning for Signal Processing Technical Committee of theIEEE Signal Processing Society, (formerly the Neural Networks for Signal Processing) 2015-.26. Member of the Machine Learning for Signal Processing Technical Committee of the IEEE SignalProcessing Society, (formerly the Neural Networks for Signal Processing) 2004, 2007-2014.27. Chair of the Machine Learning for Signal Processing Technical Committee of the IEEE SignalProcessing Society (formerly the Neural Networks Signal Processing Technical Committee),2005-2007.28. Member of the Neural Networks for Signal Processing Technical Committee of the IEEE SignalProcessing Society (1996–1999, 2001–2003).29. Chairman of IEEE Denmark Section’s Signal Processing Chapter, 2002-.30. Chairman of associate professor evaluation committee, IMM, DTU, 2001.31. Accountant and member of the executive committee of Nordic Demining Research Forum,1999-2009.32. Member of the Advisory Committee of the IEEE Signal Processing Society’s On-line HistoryProject.33. Member of the Nominating Committee for IEEE Denmark Section’s Signal Processing Chapter,1997, 1998, 2000.34. Member of the Steering Committee for EUREKA-project THALAMUS, 1996.35. Observer in the PhD program committee of Electrical Engineering, Techn. Univ. of Denmark,2002.PhD Evaluation Committees

1. Chairman of the PhD committee for Camilla Birgitte Falk Jense’s dissertation entitled: ”Designof Cognitive Interfaces for Personal Informatics Feedback,” Technical University of Denmark,Denmark, November 2015.2. Chairman of the PhD committee for Søren Helstrup Kvist’s dissertation entitled: ”Antennas andPropagation for Body-Centric Wireless Communications,” Technical University of Denmark,Denmark, January 2014.3. Chairman of the PhD committee for Trine Julie Abrahamsen’s dissertation entitled: ”KernelMethods for Machine Learning with Life Science Applications,” Technical University of Den-mark, Denmark, June 2013.4. Member of the PhD committee for Jacek Pierzchlewski’s dissertation entitled: ”CompressedSensing Methods in Radio Receivers Exposed to Noise and Interference,” Aalborg University,Aalborg, Denmark, May 2013.5. Member of the PhD committee for Thomas Buchgraber’s dissertation entitled: ”VariationalSparse Bayesian Learning: Centralized and Distributed Processing,” Graz University of Tech-nology, Austria, April 2013.6. Member of the PhD committee for Johan Xi Zhang’s dissertation entitled: ”Robust Subspace-based Fundamental Frequency Estimation and Related Topics,” Aalborg University, Denmark,December 2012.7. Chairman of the PhD committee for Peter Mondrup Rasmussen’s dissertation entitled: ”Math-ematical Modeling and Visualization of Functional Neuroimages,” Technical University of Den-mark, April 2012.8. Chairman of the PhD committee for Joan Petur Petersen’s dissertation entitled: ”Mining of ShipOperation Data for Energy Conservation,” Technical University of Denmark, March 2012.9. Member of the PhD committee for Tobias Lindstrøm Jensens’s dissertation entitled: ”First-Order Convex Optimization Methods for Signal and Image Processing,” Aalborg University,15

Denmark, December 2011.10. Chairman of the PhD committee for Bartlomiej Wilkowski’s dissertation entitled: ”SemanticApproaches for Knowledge Discovery and Retrieval in Biomedicine,” Technical University ofDenmark, October 2011.11. Chairman of the PhD committee for Carsten Stahlhut’s dissertation entitled: ”Functional BrainImaging by EEG: A Window to the Human Mind,” Technical University of Denmark, June 2011.12. Member of the PhD committee for Chritian Sigg’s dissertation entitled: ”Source Separationusing Non-Negativity and Sparsity Constraints,” ETH, Switzerland, May 2011.13. Member of the PhD committee for Pejman Mowlaee’s dissertation entitled: ”Single-channelspeech separation,” Aalborg University, Denmark, December 2010.14. Chairman of the PhD committee for Michael Kaj Petersen’s dissertation entitled: ”Modelingmedia as latent semantics based on cognitive components,” Technical University of Denmark,August 2010.15. Chairman of the PhD committee for Anders Petersen’s dissertation entitled: ”On the TimeRequired for Identification of Visual Objects,” Technical University of Denmark, March 2010.16. Chairman of the PhD committee for Robert de Nijs’ dissertation entitled: ”Corrections in Clin-ical Magnetic Resonance Spectroscopy and SPECT,” Technical University of Denmark, March2010.17. Chairman of the PhD committee for Morten Hansens’s dissertation entitled: ”Approximate In-ference for Wireless Communications,” Technical University of Denmark, February 2010.18. Chairman of the PhD committee for Morten Prochowsky’s dissertation entitled: ”Adaptive TextEntry for Mobile Devices,” Technical University of Denmark, March 2009.19. O�cial opponent of the PhD defense in relation to Jarkko Salojarvis PhD dissertation entitled:”Inferring Relevance from Eye Movements with Wrong Models,” Helsinki, November 2008.20. Chairman of the PhD committee for Kristo�er H. Madsen’s dissertation entitled: ”ModellingStrategies for Functional Magnetic Resonance Imaging,” Technical University of Denmark,November 2008.21. Chairman of the PhD committee for Ling Fengs’s dissertation entitled: ”Cognitive ComponentAnalysis,” Technical University of Denmark, October 2008.22. Chairman of the PhD committee for Morten Mørups’s dissertation entitled: ”DecompositionMethods for Unsupervised Learning,” Technical University of Denmark, September 2008.23. Member of the PhD evaluation committee for Jean Francios Paiement’s dissertation entitled:”Probabilistic Models for Music,” EPFL, Lausanne, June 2008.24. Member of the Doctoral Commission for Merel Veracx, K.U. Leuven, Belgium, 2008.25. Member of the PhD evaluation committee for Gert Van Dijck’s dissertation entitled: ”Infor-mation Theoretic Approach to Feature Selection and Redundancy Assessment,” K.U. Leuven,Belgium, February/April 2008.26. Chairman of the PhD committee for Thomas Bierholms’s dissertation entitled: ”Minimum Mean-Square Error Single-Channel Signal Estimation,” Technical University of Denmark, February2008.27. Chairman of the PhD committee for Rasmus Kongsgaard Olsson’s dissertation entitled: ”Al-gorithms for Source Separation - with Cocktail Party Applications,” Technical University ofDenmark, September 2007.28. Chairman of the PhD committee for Sune Lehmann Jørgensen’s dissertation entitled: ”TheStructure of Complex Networks,” Technical University of Denmark, June 2007.29. Chairman of the PhD committee for Mads Dyrholms’s dissertation entitled: ”Independent Com-ponent Analysis in a Convoluted World,” Technical University of Denmark, June 2006.30. Chairman of the PhD committee for Esben Høgh-Rasmussen’s dissertation entitled: “Tomo-graphic Reconstruction using Anatomy and Regularization,” Technical University of Denmark,February 2006.31. Chairman of the PhD committee for Jan Vistisen’s dissertation entitled “ Risk Assessments of

16

Minefields in Humanitarian Mine Action - a Bayesian Approach,” Technical University of Den-mark, January 2006.32. Chairman of the PhD committee for Kaare Brandt Petersen’s dissertation entitled: “Mean FieldICA,” Technical University of Denmark, November 2005.33. Member of the examination committee of Temujin Gautama’s PhD Thesis entitled: “MotionProcessing in Macaque Middle Temporal Areas: Computational Principles, Models and DataAnalysis,” K.U. Leuven, Belgium, March 2003.34. Chairman of the PhD committee for Thomas Fabricius’s dissertation entitled: ”Multiuser De-tection and Channel Estimnation: Exact and Approximate Methods,” Technical University ofDenmark, August 2003.35. Chairman of the PhD committee for Irene K. Andersen’s dissertation entitled: “Dynamic Con-trast Enhanced MRI for Perfusion Quantification,” Technical University of Denmark, December2002.36. Chairman of the PhD committee for Karam Sidaros’ dissertation entitled: “Slice Profile E�ectsin MR Perfusion Imaging Using Pulsed Arterial Spin Labeling,” Technical University of Denmark,June 2002.37. Chairman of the PhD committee for Maarten Keijzer’s dissertation entitled: “Scientific Discov-ery using Genetic Programming,” Technical University of Denmark, February 2002.38. Chairman of the PhD committee for Preben Kidmose’s dissertation entitled: “Blind Separationof Heavy Tail Signals,” Technical University of Denmark, January 2002.39. Examiner of Lester S.H. Ngia’s PhD Thesis entitled: “System Modeling Using Basis Functionsand Application to Echo Cancelation,” Chalmers University of Technology, Sweden, November,2000.40. Examiner of Hau San Wongs’s PhD Thesis entitled: “Adaptive Image Processing Using Com-putational Intelligence Techniques,” University of Sydney, March 1999.41. Chairman of the PhD committee for Niels J.S. Mørch’s dissertation entitled: “A MultivariateApproach to Functional Neuro Modeling,” Technical University of Denmark, July 1998.42. Member of the PhD committee (examinateur) for Cyril Goutte’s dissertation entitled: “Statisti-cal Learning and Regularisation in Regression: Application to System Identification and TimeSeries Modelling,” Paris 6 University, France, 1997.Grants

• IDUN 2015-2020 (Role: Principal investigator, Total: 4Me DTU group: 304ke).• NoX 2.0 2013-2015 (Role: Principal investigator, DTU group: 43ke).• CRIM-TRACK 2014-2016 (Role: Principal investigator, Total: 3.7Me, DTU group: 381ke).• INNOSORT 2012-2016 (Role: Principal investigator, Total: 2.2Me, DTU group: 223ke).• CoSound 2012-2016 (Role: Head, Total: 2.3Me, DTU group: 800ke).• MUSE 2012-2016 (Role: Principal investigator, Total: 2.2Me, DTU group: 320ke).• Danish Sound Innovation Network (Innovationsnetværket Dansk Lyd) 2009-2014, 2014-2018(Role: Director, Total: 3.07Me, DTU group: 2.17Me).• Predictive Health Monitoring of Wind Turbines based on Dynamic Characterization 2011-2014(Role: Principal investigator, Total: 950ke, DTU group: 170ke).• XSense 2008-2011 (Role: Principal investigator, Total: 2Me, DTU group: 213ke).• ISOUND 2005-2008 (Role: Steering Group Member, Total: 1.9Me, DTU group: 0.95Me).• PASCAL2 2008-2013 (Role: Site coordinator, Total: 12Me, DTU group: 27ke)• PASCAL 2003-2008 (Role: Site coordinator, Total: 12Me, DTU group: 27ke)• ASIP-NET 2006- (Total 2006-2008: 37ke).• DeFuse 2007- (Role: Executive committee member, Total: 240ke).• AEWATT 2002-2005 (Role: Principal investigator, Total: 2.5Me, DTUgroup: 330ke).• SITE 2001-2004 (Role: Principal investigator, Total: 0.95Me, DTU group: 400ke).17

• MAPAWAMPO 2000-2003 (Role: participant, Total: 1.7Me, DTU group: 300ke).• DMM 1998-2001 (Role: participant, DTU group: 200ke).• THOR CFN 1998-2002 (Role: deputy center head, Total: 0.8Me).• CONNECT 1991-1998 (Role: founding partner and participant, Total: 2.6Me).• Commissioned Work for DTU 2000,2004,2005,2007,2008,2009,2010,2011,2012,2013 (Role:project coordinator and leader, Total: 250ke).• Industrial PhD grants (Role: supervisor, Total 887ke)• Radio-Parts Foundation 1994 (Role: personal grant, Total: 64ke).• Visiting Professor Grant from Otto Mønsteds Foundation (Role: host, Total: 33.5ke). for Prof.Sergios Theodoridis, Univ. of Athens, Greece, 2012.• Visiting Professor Grant from Techn. University of Denmark for Prof. Tulay Adali, Univ. of Mary-land at Baltimore County, USA, 2000.• Visiting Professor Grant from Techn. University of Denmark for Prof. Jenq-Neng Hwang, Univ.of Washington, USA, 1996.• Otto Mønsteds Foundation (travel support).• Tranes Foundation (travel support).Other

• Member of the International International Intelligent Knowledge Systems Society.• Senior Member of The Institute of Electrical and Electronics Engineers, Inc. 2003.• Private consultant, in particular neural network and machine learning technology.• Hobbies: Music - 40 years of experience with drumming, piano, and some trumpet.According to Google Scholar the no. of citations is 3723, the h-index is 32, and the i-10 index is 78as of December 5, 2016. See publications online via http://cogsys.imm.dtu.dk/sta�/jlarsen/pubs/Peer-reviewed Journal Papers

1. K.B. Frhling, T.S. Alstrm, M. Bagge, M.S. Schmidt, M.N. Schmidt, J. Larsen, M.H. Jakobsen,A. Boisen: Surface Enhanced Raman Spectroscopic Study of DNA and 6-mercapto-1-hexanolInteractions Using Large Area Mapping, Vibrational Spectroscopy, Elsevier, August 2016.2. M.K. Morsy, K. Zor, N. Kostesha, T.S. Alstrm, A. Heiskanen, H. El-Tanahi, A. Sharoba, D. Pap-kovsky, J. Larsen, H. Khalaf, M.H. Jakobsen, J. Emneus: Development and Validation of aColorimetric Sensor Array for Fish Spoilage Monitoring, Food Control, vol. 60, pp. 346–352,Elsevier, 2016.3. C. Kereliuk, B.L. Sturm, J. Larsen: Deep Learning and Music Adversaries, IEEE Transactions onMultimedia, IEEE, Nov. 2015.4. J.B.B. Nielsen, J. Nielsen, J. Larsen: Perception-based Personalization of Hearing Aids usingGaussian Processes and Active Learning, IEEE Transactions on Audio, Speech, and LanguageProcessing, IEEE, vol. 23, no. 1, pp. 162–173, 2015.5. R.G. Haahr, S.B. Duun, M.H. Toft, B. Belhage, J. Larsen, K. Birkelund, E.V. Thomsen: “An Elec-tronic Patch for Wearable Health Monitoring by Reflectance Pulse Oximetry,” IEEE Transactionson Biomedical Circuits and Systems, vol. 6, no. 1, pp. 45–53, IEEE, 2012.6. T. Adali, D.J. Miller, K. Diamantaras, J. Larsen: “Trends in Machine Learning for Signal Pro-cessing,” IEEE Signal Processing Magazine, vol. 28, no. 11, pp. 193–196, Nov. 2011.7. M. Arngren, J. Larsen, P.W. Hansen, B. Eriksen, R. Larsen: “Analysis of Pre-Germinated Barleyusing Hyperspectral Image Analysis,” Journal of Agricultural and Food Chemistry, ACS Publi-cations, vol. 29(21), pp. 1138511394, ACS Publications, 2011.8. M. Arngren, M. N. Schmidt, J. Larsen: “Unmixing of Hyperspectral Image using Bayesian Non-negative Matrix Factorization with Volume Prior,” Journal of Signal Processing Systems, vol. 65,

18

no. 3 , pp. 479–496, Springer, 2011.9. M.S. Pedersen, D. Wang, J. Larsen, U. Kjems: “Two-microphone Separation of Speech Mix-tures,” IEEE Transactions on Neural Networks, vol. 19, no. 3, pp. 475–492, 2008.10. A. Meng, P. Ahrendt, J. Larsen, L.K. Hansen: “Temporal Feature Integration for Music GenreClassification,” IEEE Transactions on Audio, Speech and Language Processing, vol. 15, issue 7,pp. 1654–1664, July 2007.11. A. Szkymkowiak Have, Mark A. Girolami and J. Larsen: “Clustering via Kernel Decomposition,”IEEE transactions on Neural Networks, vol. 17, no. 1, pp. 256–264, January 2006.12. N.H. Pontoppidan, S. Sigurdsson, J. Larsen: “Condition monitoring with Mean field indepen-dent components analysis,” Mechanical systems and signal processing: Special issue on blindsource separation, vol. 19(6), pp. 1337-1347, Elsevier, 2005.13. S. Sigurdsson, P.A. Philipsen, L.K. Hansen, J. Larsen, M. Gniadecka, H.C. Wulf: “Detection ofSkin Cancer by Classification of Raman Spectra,” in IEEE transactions on Biomedical Engineer-ing, vol. 51, no. 10, pp. 1784–1793, 2004.14. L.K. Hansen, F.Aa. Nielsen and J. Larsen: “Exploring fMRI Data for Periodic Signal Compo-nents,” in Artificial Intelligence in Medicine, vol. 25, pp. 35–44, 2002.15. J. Larsen, A. Szymkowiak and L.K. Hansen: “Probabilistic Hierarchical Clustering with Labeledand Unlabeled Data,” invited paper for International Journal of Knowledge-Based IntelligentEngineering Systems, vol. 6, no. 1, pp. 56–63, January 2002.16. J. Larsen and L.K. Hansen: “Comments for: Rivals, I., & Personnaz L. (2000). Construction ofconfidence intervals for neural networks based on least squares estimation, Neural Networks,13, 463-484,” Neural Networks, vol. 15/1, pp. 141–142, April 2002.17. J. Larsen, L.K. Hansen, A. Szymkowiak, T. Christiansen & T. Kolenda: “Webmining: Learningfrom the World Wide Web,” in special issue of Computational Statistics and Data Analysis, vol.38, pp. 517–532, 2002.18. C. Goutte and J. Larsen: “Adaptive Metric Kernel Regression,” in special issue of Journal ofVLSI Signal Processing, vol. 26, pp. 155–167, 2000.19. L.K. Hansen, J. Larsen, F.A. Nielsen, S.C. Strother, E. Rostrup, R. Savoy, N. Lange, J. Sidtis, C.Svarer & O.B. Paulson: “Generalizable Patterns in Neuroimaging: How Many Principal Compo-nents?,” NeuroImage, vol. 9, pp. 534–544, 1999.20. M. Hintz-Madsen, L.K. Hansen, J. Larsen, M.W. Pedersen & M. Larsen: “Design and Evaluationof Neural Classifiers,” Neural Networks, vol. 11, no. 9, pp. 1659–1670 Dec. 1998.21. J. Larsen & L.K. Hansen: “Generalization: The Hidden Agenda of Learning” in J.-N. Hwang, S.Y.Kung, M. Niranjan & J.C. Principe (eds.) The Past, Present, and Future of Neural Networks forSignal Processing, IEEE Signal Processing Magazine, pp. 43–45, Nov. 1997.22. L.K. Hansen & J. Larsen: “Linear Unlearning for Cross-Validation,” Advances in ComputationalMathematics, vol. 5, pp. 269–280, 1996.23. K.V. Hansen & J. Larsen: “An Algorithm for Successive Identification of Reflections,” IEEETransactions on Image Processing, vol. 3, no. 3, pp. 281–291, May 1994.24. J. Larsen: “Optimizing Neural Network Architectures Using Generalization Error Estimators,”Radiophysics (Russian), vol. 37, no. 9, pp. 1131–1147, 1994.

Peer-reviewed Conference Proceedings Papers

1. S.L. Carstensen, J. Madsen, J. Larsen: “Predicting Changes in A�ective States using NeuralNetworks,” in NIPS 2016 Workshop on Machine Learning for Health, Barcelona, Dec. 2016.2. S.L. Carstensen, J. Madsen, J. Larsen: “The Influence of Familiarity and Absorption on theE�ectiveness of Music in Stress Reduction,” submitted for 2017 IEEE International Conferenceon Acoustics, Speech and Signal Processing, New Orleans, 2017.3. G. Milis, H. Deprez, A. Hassani, J. Larsen, M. Moonen: “Joint Speaker Identification and Lo-calization for Hearing Aids,” submitted for 2017 IEEE International Conference on Acoustics,19

Speech and Signal Processing, New Orleans, 2017.4. T.S. Alstrm, M.N. Schmidt, T. Rindzeviciusy, A. Boisen, J. Larsen: “A Pseudo-Voigt ComponentModel for Hight-Resolution Recovery of Constituent Spectra in Raman Spectpscopy,” submit-ted for 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, NewOrleans, 2017.5. C. Kereliuk, B.L. Sturm, J. Larsen: “Deep Learning, Audio Adversaries, and Music ContentAnalysis,” in proceedings of 2015 IEEE Workshop on Applications of Signal Processing to Audioand Acoustics, IEEE, October 2015.6. J. Madsen, B.S. Jensen, J. Larsen: “Learning Combinations of Multiple Feature Representa-tions for Music Emotion Prediction,” in Proceedings of A�ect and Sentiment in Multimedia(ASM) - an ACM MM’15 workshop, October 2015.7. B. Sturm, C. Kereliuk, J. Larsen: “?El Caballo Viejo? Latin Genre Recognition with Deep Learn-ing and Spectral Periodicity,” Fifth Biennial International Conference on Mathematics and Com-putation in Music (MCM2015), 22-25, June 2015.8. B.S. Jensen, J.B.B. Nielsen, J. Larsen: “Perspectives on Bayesian Optimization for HCI,” CHI’15Workshop on Principles, Techniques and Perspectives on Optimization and HCI, South Korea,April 19, 2015.9. C.M. Kereliuk, B. Sturm, J. Larsen: “Are deep neural networks really learning relevant fea-tures?, DMRN+9: Digital Music Research Network One-day Workshop 2014, 2014.10. T.S. Alstrøm, F.G. Bosco, J. Larsen, M. Bache, A.L. Brøgger, K.B. Frøhling, E. Hwu, C. Chen,I. Hwang, A. Boisen: “Characterization of the Bending Response of Microcantilevers using aStatistical Approach,” Proceedings of the 11th Nanomechanical Sensing Workshop, 2014.11. T.S. Alstrøm, K.B. Frøhling, J. Larsen, M.N. Schmidt, M. Bache, M., M.S. Schmidt, M.H. Jakob-sen, A. Boisen: “Improving The Robustness Of Surface Enhanced Raman Spectroscopy BasedSensors By Bayesian Non-Negative Matrix Factorization,” IEEE International Workshop on Ma-chine Learning for Signal Processing, France, Sept. 2014.12. J. Madsen, B.S. Jensen, J. Larsen: Modeling Temporal Structure In Music for Emotion Predic-tion using Pairwise Comparisons, 15th International Society of Music Information RetrievalConference, 2014.13. J.B. Nielsen, B.S. Jensen, J. Larsen: “Hearing Aid Personalization,” NIPS 2013 Workshop onPersonalization, 2013.14. B.S. Jensen, J.B. Nielsen, J. Larsen: “Bounded Gaussian Process Regression,” IEEE Interna-tional Workshop on Machine Learning for Signal Processing, Southampton, UK, 2013.15. J.B. Nielsen, B.S. Jensen, T.J. Hansen, J. Larsen: “Personalized Audio Systems - a BayesianApproach,” 135th AES Convention, New York, USA, 2013.16. B.P. Pedersen, J. Larsen: “Gaussian Process Regression for Vessel Performance Monitoring,”12th International Conference on Computer and IT Applications in the Maritime Industries(COMPIT 13), 2013.17. B.S. Jensen, R. Troelsgaard, J. Larsen, L.K. Hansen: “Towards a universal representation foraudio information retrieval and analysis, Proc. ICASSP 2013.18. N.V. Kostesha, T.SAlstrøm, J. Larsen, A. Boisen, M.H. Jakobsen: “Multi-Colorimetric SensorArray for Detection of Illegal Materials,” Proc. of IEEE Sensors, October 28–31, Taipei, Taiwan,2012.19. M.N. Schmidt, S. Schwartz, J. Larsen: “Interactive 3D audio: Enhancing Awareness of De-tails in Immersive Soundscapes?,” Proc. of AES 133th Convention, Audio Engineering Society,2012.20. T.S. Alstrøm, B.S. Jensen, M.N. Schmidt, N.V. Kostesha, J. Larsen: “Haussdor� and Hellingerfor Colorimetric Sensor Array Classification,” Proc. of the IEEE International Workshop onMachine Learning for Signal Processing, 2012.21. J.B. Nielsen, B.S. Jensen, J. Larsen: “Pseudo Inputs for Pairwise Learning with Gaussian Pro-cesses,” Proc. of the IEEE International Workshop on Machine Learning for Signal Processing,

20

2012.22. J. Madsen, B.S. Jensen, J. Larsen, J.B. Nielsen: “Towards Predicting Expressed Emotion inMusic from Pairwise Comparisons,” Proc. of the 9th Sound and Music Computing Conference(SMC), 2012.23. J. Madsen, J.B. Nielsen, B.S. Jensen, J. Larsen: “Modeling Expressed Emotions in Music usingPairwise Comparisons,” Proc. of the 9th International Symposium on Computer Music Model-ing and Retrieval (CMMR) Music and Emotions, 2012.24. S.G. Karadogan, J. Larsen: “Combining Semantic and Acoustic Features for Valence and ArousalRecognition in Speech,” Proc. of the Cognitive Information Processing CIP2012, IEEE Press,2012.25. T.S. Alstrøm, R. Raich, N.V. Kostesha, J. Larsen: “Feature Extraction Using Distribution Rep-resentation For Colorimetric Sensor Arrays Used As Explosives Detectors,” Proc. of ICASSP2012, IEEE Press, 2012.26. B.S. Jensen, J.S. Gallego, J. Larsen: “A Predictive Model of Music Preference using PairwiseComparisons,” Proc. of the International Conference on Acoustics, Speech, and Signal Pro-cessing (ICASSP 2012), IEEE Press, 2012.27. L. Marchegiani, S.G. Karadogan, T. Andersen, J. Larsen, L.K. Hansen: “The Role of Top-DownAttention in the Cocktail Party: Revisiting Cherrys Experiment after Sixty Years,” The tenthInternational Conference on Machine Learning and Applications (ICMLA’11), 2011.28. S.G. Karadogan, L. Marchegiani, J. Larsen, L.K. Hansen: “Top-Down Attention With FeaturesMissing At Random,” IEEE Workshop on Machine Learning for Signal Processing, ISBN:978-1-4577-1622-5, September 18-21, Beijing, 2011.29. T.S. Alstrøm, J. Larsen, N.V. Kostesha, M.H. Jakobsen, A. Boisen: “Data Representation AndFeature Selection For Colorimetric Sensor Arrays Used As Explosives Detectors,” IEEE Work-shop on Machine Learning for Signal Processing, ISBN:978-1-4577-1622-5, September 18-21, Beijing, 2011.30. B.S. Jensen, J.B. Nielsen, J. Larsen: “E�cient Preference Learning With Pairwise ContinuousObservations And Gaussian Processes,” IEEE Workshop on Machine Learning for Signal Pro-cessing, ISBN:978-1-4577-1622-5, September 18-21, Beijing, 2011.31. S.G. Karadongan, L. Marchegiani, L.K. Hansen, J. Larsen: “How E�cient Is Estimation withMissing Data?,” in Proceedings of International Conference on Acoustics, Speech and SignalProcessing, IEEE Press, 2011.32. J.E. Larsen, A. Stopczynski, J. Larsen, C. Vesterskov, P. Krogsgaard, T. Sondrup: “Augmentingthe Sound Experience at Music Festivals using Mobile Phones,” International Conference onIntelligent User Interfaces (IUI2011), ACM, February 2011.33. N. Kostesha, M.S. Schmidt, F. Bosco, J. Olsen, C. Johnsen, K. Nielsen, J. Jeppesen, T.S. Al-strøm, J. Larsen, T. Thundat, M. Jacobsen, A. Boisen: “The Xsense Project: The Applicationof Intelligent Sensor Array for High Sensitivity Handheld Explosives Detectors,” IEEE SensorsApplications Symposium, 2011.34. J. Arenas-Garıa, C. Moriana-Varo, J. Larsen: “Combination of supervised and semi-supervisedregression models for improved unbiased estimation,” Proceedings of the Seventh Interna-tional Symposium on Wireless Communication Systems (ISWCS2010), pp. 364–368, IEEEPress, 2010.35. B.S. Jensen, L.K. Hansen, J. Larsen, J.E. Larsen, K. Jensen: “Predictability of Mobile PhoneAssociations,” 21st European Conference on Machine Learning, pp. 91–105, 2010.36. B.S. Jensen, J.E. Larsen, K. Jensen, J. Larsen, L.K. Hansen: “Estimating Human Predictabil-ity From Mobile Sensor Data,” IEEE International Workshop on Machine Learning for SignalProcessing, Kittila, Finland, September 2010.37. S.G. Karadogan, J. Larsen, M.S. Pedersen, J.B. Boldt: “Robust isolated speech recognitionusing binary masks,” EUSIPCO-2010, 2010.38. T.S. Alstrøm, J. Larsen, C.H. Nielsen, N.B. Larsen: “Datadriven modeling of nano-nose gas

21

sensor arrays,” Signal Processing, Sensor Fusion, and Target Recognition XIX, vol. 7697(1),pp. 76970U, SPIE, 2010.39. N.V. Kostesha, T.S. Alstrøm, C. Johnsen, K.A. Nielsen, J.O. Jeppesen, J. Larsen, M.H. Jakob-sen, A. Boisen: “Development of the colorimetric sensor array for detection of explosives andvolatile organic compounds in air,” Advanced Environmental, Chemical, and Biological SensingTechnologies VII, vol. 7673(1), pp. 76730I, 2010.40. M.S. Schmidt, N. Kostesha, F. Bosco, J.K. Olsen, C. Johnsen, K.A. Nielsen, J.O. Jeppesen, T.S.Alstrøm, J. Larsen, M.H. Jacobsen, T. Thundat, A. Boisen: “Xsense: using nanotechnologyto combine detection methods for high sensitivity handheld explosives detectors,” Detectionand Sensing of Mines, Explosive Objects, and Obscured Targets XV, vol. 7664(1), pp. 76641H,SPIE, 2010.41. L. Mølgaard, J. Larsen, C. Goutte: “Temporal Analysis of Text Data using Latent Variable Mod-els,” in Proceedings of the IEEE Machine Learning for Signal Processing, Grenoble, France,August 31–September 2, 2009.42. M. Arngren, M. Schmidt, J. Larsen: “Baysian Nonnegative Matrix Factorization with Determi-nant Prior for Unmixing of Hyperspectral Images,” in Proceedings of the IEEE Machine Learningfor Signal Processing, Grenoble, France, August 31–September 2, 2009.43. T. Jensen, S. Duun, J. Larsen, R.G. Haahr, M.H. Toft, B. Belhage, and E.V. Thomsen: “Inde-pendent Component Analysis Applied to Pulse Oximetry in the Estimation of the Arterial Oxy-gen Saturation (SpO2) - a Comparative Study,” Engineering in Medicine and Biology Society(EMBS), 2009. 31th Annual International Conference of the IEEE, 2–6 September, Minneapolis,USA, 2009, DOI 10.1109/IEMBS.2009.5333746, ISBN 978-1-4244-3296-7, pp. 4039–4044.44. B.P. Pedersen, J. Larsen: “Prediction of Full-Scale Propulsion Power using Artificial NeuralNetworks,” in Proceedings of the 8th International Conference on Computer and IT Applica-tions in the Maritime Industries (COMPIT’09), Budapest, Hungary May 10–12, pp. 537–550,2009.45. B.P. Pedersen, J. Larsen: “Modeling of Ship Propulsion Performance,” World Maritime Tech-nology Conference WMTC2009, The Institute of Marine Engineers, Jan. 21–24, 2009.46. M.N. Schmidt, J. Larsen: “Reduction of non-stationary noise using a non-negative latent vari-able decomposition,” IEEE International Workshop on Machine Learning and Signal ProcessingXVIII, IEEE, 2008.47. M.N. Schmidt, J. Larsen, F.-T. Hsiao: “Wind Noise Reduction using Sparse Non-negative MatrixFactorization,” in Proc. IEEE International Workshop on Machine Learning for Signal Process-ing 2007, pp. 431–436, 2007.48. J. Arenas-Garcıa, A. Meng, K.B. Petersen, T. Lehn-Schiøler, L.K. Hansen, J. Larsen: “UnveilingMusic Structure via PLSA Similarity Fusion,” in Proc. IEEE International Workshop on MachineLearning for Signal Processing 2007, pp. 419–424, 2007.49. L.K. Hansen, T. Lehn-Schiøler, K.B. Petersen, J. Arenas-Garcia, J. Larsen, S.H. Jensen: “Learn-ing and Clean-up in a Large Scale Music Database,” EUSIPCO 2007, 2007.50. J. Arenas-Garcıa, J. Larsen, L.K. Hansen, A. Meng: “Optimal filtering of dynamics in short-timefeatures for music organization,” 7th International Conference on Music Information Retrieval(ISMIR 2006), 2006.51. L.P.B. Christensen, J. Larsen: “On Data and Parameter Estimation Using the Variational BayesianEM-algorithm for Block-fading Frequency-selective MIMO Channels,” in Proceedings of IEEEInternational Conference on Acoustics, Speech and Signal Processing, Vol. IV, pp. 465–468,2006.52. M.S. Pedersen, D. Wang, J. Larsen, U. Kjems: “Separating Underdetermined Convolutive SpeechMixtures,” in Independent Component Analysis and Blind Signal Separation (ICA 2006): Lec-ture Notes in Computer Science, Springer Berlin/Heidelberg, vol. 3889, pp. 674–681, 2006.53. M.S. Pedersen, T. Lehn-Schiøler, J. Larsen: “BLUES from Music: BLind Underdetermined Ex-traction of Sources from Music,” in Independent Component Analysis and Blind Signal Sepa-

22

ration (ICA 2006): Lecture Notes in Computer Science, Springer Berlin/Heidelberg, vol. 3889,pp. 392–399, 2006.54. T. Lehn-Schiøler, L.K. Hansen, J. Larsen: “Mapping from Speech to Images Using ContinuousState Space Models,” Lecture Notes in Computer Science, vol. 3361, pp. 136–145, Springer,2005.55. P. Ahrendt, C. Goutte, J. Larsen: “Co-occurrence Models in Music Genre Classification,” inProceedings of IEEE International workshop on Machine Learning for Signal Processing, pp.247-252, 2005.56. M.S. Pedersen, D. Wang, J. Larsen, U. Kjems: “Overcomplete Blind Source Separation by Com-bining ICA and Binary Time-Frequency Masking,” in Proceedings of IEEE International work-shop on Machine Learning for Signal Processing, pp. 15–20, 2005.57. S. Sigurdsson, N.H. Pontoppidan, J. Larsen: “Supervised and unsupervised condition moni-toring of non-stationary acoustic emission signals,” in Proceedings of the 18th InternationalCongress on Condition Monitoring and Diagnostic Engineering Management (COMADEM), pp.535–541, Cranfield University Press, 2005.58. L.K. Hansen, P. Ahrendt, J. Larsen: “Towards Cognitive Component Analysis,” in proceedingsAKRR’05 -International and Interdisciplinary Conference on Adaptive Knowledge Representa-tion and Reasoning, Pattern Recognition Society of Finland, Finnish Artificial Intelligence So-ciety, Finnish Cognitive Linguistics Society, 2005. Best paper in cognitive systems award.59. N.H. Pontoppidan, J. Larsen, S. Sigurdsson: “Non-stationary Condition Monitoring of LargeDiesel Engines with the AEWATT toolbox,” 59th meeting of the Society for Machinery FailurePrevention Technology, Society for Machinery Failure Prevention Technology, 2005.60. A. Morgenstjerne, B. Karlsen, B., J. Larsen, H.B. Sørensen, K.B. Jakobsen: “A Comparativeand Combined Study of EMIS and GPR Detectors by the use of Independent Component Anal-ysis,” in proceedings 2005 Detection and Remediation Technologies for Mines and Mine-LikeTargets, AeroSense 2005, 2005.61. A. Meng, P. Ahrendt, J. Larsen: “Improving Music Genre Classification by Short-Time Fea-ture Integration,” IEEE International Conference on Acoustics, Speech, and Signal Processing,Philadelphia, USA, vol. V, pp. 497-500, March 2005.62. M.S. Pedersen, J. Larsen, U. Kjems: “On the di�erence between updating the mixing matrixand updating the separation matrix,” IEEE International Conference on Acoustics, Speech, andSignal Processing, Philadelphia, USA, vol. V, pp. 297–300, March 2005.63. R.E. Madsen, J. Larsen and L.K. Hansen: “Part-Of-Speech Enhanced Context Recognition”, inA.K. Barros, J. Principe, J. Larsen, T. Adali, S. Douglas (eds.) Proceedings of IEEE Workshopon Machine Learning for Signal Processing XIV, Sao Luıs, Brazil, Sept. 29–Oct. 1, 2004, pp.635–644.64. N.H. Pontoppidan and J. Larsen: “Non-Stationary Condition Monitoring Through Event Align-ment,” in A.K. Barros, J. Principe, J. Larsen, T. Adali, S. Douglas (eds.) Proceedings of IEEEWorkshop on Machine Learning for Signal Processing XIV, Sao Luıs, Brazil, Sept. 29–Oct. 1,2004, pp. 499–508.65. R.E. Madsen, S. Sigurdsson, L.K. Hansen and J. Larsen: “Text Categorization with RelevancePruned Vocabularies”, in Proceedings IJCNN 2004 - International Joint Conference on NeuralNetworks, Budapest, Hungary, July 25-29, 2004.66. P. Ahrendt, A. Meng and J. Larsen: “Decision Time Horizon for Music Genre Classsificationusing Short Time Features ”, in Proceddings of EUSIPCO-2004 Sept. 7–10, Vienna, Austria,2004, pp. 1293–1296.67. N.H. Pontoppidan and J. Larsen: “Unsupervised Condition Change Detection In Large DieselEngines,” accepted for C. Molina, T. Adali, J. Larsen, M. Van Hulle, S. Douglas, J. Rouat (eds.)Proceedings of IEEE Workshop on Neural Networks for Signal Processing XIII, Toulouse, France,Sept. 17-19, 2003, pp. 565–574.68. B. Karlsen, H.B.D. Sørensen, J. Larsen, K.B. Jakobsen: “GPR Detection of Buried Symmet-

23

rically Shaped Mine-like Objects using Selective Independent Component Analysis,” in Pro-ceedings of the 2003 Detection and Remediation Technologies for Mines and Mine-like Targets,AeroSense 2003, Orlando FL, vol. 5089, pp. 375–386, April 2003.69. N.H. Pontoppidan, J. Larsen and T. Fog: “Independent Component Analysis for Detection ofCondition Changes in Large Diesels”, in Proceedings of COMADEM 2003, August 27–29, VaxjoUniversity, Sweden, no. 16, pp. 493–502, 2003.70. V.D. Calhourn, T. Adali, L.K. Hansen, J. Larsen and J.J. Pekar: “ICA of Functional MRI Data:An Overview,” invited contribution for Fourth International Symposium on Independent Com-ponent Analysis and Blind Source Separation, Nara, Japan, April 1-4, pp. 281–288, 2003.71. J. Larsen, L.K. Hansen, T. Kolenda and F.A. Nielsen: “Independent Component Analysis inMultimedia Modeling,” invited contribution for Fourth International Symposium on Indepen-dent Component Analysis and Blind Source Separation, Nara, Japan, April 1-4, pp. 687–696,2003.72. J. Quinonero Candela, A. Girard, J. Larsen, and C.E. Rasmussen: “Propagation of Uncertaintyin Bayesian Kernels Models - Application to Multiple-Step Ahead Forecasting,” in Proceed-ings of IEEE International Conference on Acoustics, Speech and Signal Processing, Hong Kong,China, April 6-10, vol. 2, pp. 701-704, 2003.73. T. Kolenda, L.K. Hansen, J. Larsen and O. Winther: “Independent Component Analysis for Un-derstanding Multimedia Content,” in H. Bourlard, T. Adali, S. Bengio, J. Larsen, and S. Douglas(eds.) Proceedings of IEEE Workshop on Neural Networks for Signal Processing XII Matigny,Valais, Switzerland, Sept. 4–6, 2002, pp. 757–766.74. A. Szymkowiak-Have, J. Larsen, L.K. Hansen, P.A. Philipsen, E. Thieden and H.C. Wulf: “Clus-tering of Sun Exposure Measurements,” in H. Bourlard, T. Adali, S. Bengio, J. Larsen, and S.Douglas (eds.) Proceedings of IEEE Workshop on Neural Networks for Signal Processing XIIMatigny, Valais, Switzerland, Sept. 4–6, 2002, pp. 727–735.75. B. Karlsen, H.B.D. Sørensen, J. Larsen and K.B. Jakobsen: “Independent Component Analysisfor Clutter Reduction in Ground Penetrating Radar Data,” appears in Proceedings of the SPIE,AeroSense 2002, Orlando FL, vol. 4742, pp. 378–389, April 2002.76. S. Sigurdsson, J. Larsen, L.K. Hansen, P.A. Philipsen and H.C. Wulf: “Outlier estimation anddetection: Application to Skin Lesion Classification”, in proceedings of ICASP’2002, Orlando,Florida, USA, May 13-17, vol. I, pp. 1049–1052, 2002.77. T. Kolenda, L.K. Hansen and J. Larsen: “Signal Detection using ICA: Application to Chat RoomTopic Spotting”, in proceedings of ICA’2001, San Diego, USA, December 9–13, 2001, pp. 540–545.78. B. Karlsen, J. Larsen, H.B.D. Sørensen and K.B. Jakobsen: “Comparison of PCA and ICA basedClutter Reduction in GPR Systems for Anti-Personal Landmine Detection,” Proceedings of the11th IEEE Workshop on Statistical Signal Processing, Singapore, Aug. 6–8, 2001, pp. 146–149.79. A. Szymkowiak, J. Larsen and L.K. Hansen: “Hierarchical Clustering for Datamining,” SpecialSession on Neural Networks and Datamining in N. Babs, L.C. Jain, R.J. Howlett (eds.) Proc. KES-2001 Fifth International Conference on Knowledge-Based Intelligent Information EngineeringSystems & Allied Technologies, Osaka and Nara, Japan, September 6–8, 2001, pp. 261–265.80. A. Szymkowiak, P.A. Philipsen, J. Larsen, L.K. Hansen, E. Thieden and H.C. Wulf: “ImputatingMissing Values in Diary Records of Sun-exposure Study,” in D. Miller, T. Adali, J. Larsen, M. VanHulle, S. Douglas (eds.) Proceedings IEEE Workshop on Neural Networks for Signal ProcessingXI Falmouth, Massachusetts, Sept. 10–12, 2001, pp. 489–498.81. J. Hørlyck, J. Larsen, L.K. Hansen, and T. Christiansen: “Are All E-comstumers Alike?” in 1stNordic Workshop on Electronic Commerce, Halmstad, May 28-29, 2001.82. B. Karlsen, K.B. Jakobsen, J. Larsen and H.B.D. Sørensen: “Mine Detection using SF-GPR: ASignal Processing Approach for Resolution Enhancement and Clutter Reduction,” in Proceed-ings of AeroSense 2001, Vol. 4394-94, Orlando FL, April 2001.83. L.K. Hansen, J. Larsen, T. Kolenda: “Blind Detection of Independent Dynamic Components,”

24

in Proceedings IEEE ICASSP’2001, Salt Lake City, Utah, USA, Vol. 5, pp. 3197–3200, 2001.84. J. Larsen, L.K. Hansen, A. Szymkowiak, T. Christiansen & T. Kolenda: “Webmining: Learningfrom the World Wide Web,” invited contribution for Proceedings of Nonlinear Methods and DataMining 2000, Rome, Italy, Sept. 25–26, 2000, pp. 106–125.85. S. Sigurdsson, J. Larsen and L.K. Hansen: “On Comparison of Adaptive Regularization Meth-ods,” in B. Widrow, L. Guan, K. Paliwa, T. Adali, J. Larsen, E. Wilson, S. Douglas (eds.) Proceed-ings of the IEEE Workshop on Neural Networks for Signal Processing X, Piscataway, New Jersey:IEEE. Sydney, Australia, Dec. 11–13, 2000, pp. 221–230.86. C. Helbo, J. Larsen, P. Møller and P. Leisner: “The Use of Mathematical Modelling in Optimisa-tion of the Pulse Plating of Copper on Printed Circiut Boards,” 15th World Interfinish Congressand Exhibition, Garmish-Partenkirchen, Germany, Sept. 13–15, 2000.87. L.K. Hansen, S. Sigurdsson, T. Kolenda, F.A. Nielsen, U. Kjems and J. Larsen: “Modeling Textwith Generalizable Gaussian Mixtures,” in Proceedings of IEEE ICASSP’2000, Istanbul, Turkey,June 5-9, 2000, vol. VI, pp. 3494–3497.88. B. Karlsen, J. Larsen, K.B. Jakobsen, H.B.D. Sørensen and S. Abrahamson: “Antenna Char-acteristics and Air-Ground Interface Deembedding Methods for Stepped-Frequency GroundPenetrating Radar Measurements,” in A.C. Dubey, J.F. Harvey, J.T. Broach, R.E. Dugan (eds.)Proceedings of SPIE, AeroSense 2000: Detection and Remediation Technologies for Mines andMinelike Targets V, vol. 4038, Orlando Fl, April 24-28, 2000, pp. 1420–1430.89. J. Larsen and C. Goutte: “On Optimal Data Split for Generalization Estimation and Model Se-lection,” in Y.H. Hu, J. Larsen, E. Wilson, S. Douglas (eds.) Proceedings of the IEEE Workshop onNeural Networks for Signal Processing IX, Piscataway, New Jersey: IEEE, pp. 225–234, 1999.90. L.N. Andersen, W. Au, J. Larsen and L.K. Hansen: “Discrimination of Cylinders with Di�erentWall Thicknesses using Neural Networks and Simulated Dolphin Sonar Signals,” in Y.H. Hu, J.Larsen, E. Wilson, S. Douglas (eds.) Proceedings of the IEEE Workshop on Neural Networks forSignal Processing IX, Piscataway, New Jersey: IEEE, pp. 477–486, 1999.91. T.L. Fog, L.K. Hansen, J. Larsen, H.S. Hansen, L.B. Madsen, P. Sørensen, E.R. Hansen and P.S.Pedersen: “On Condition Monitoring of Exhaust Values in Marine Diesel Engines,” in Y.H. Hu,J. Larsen, E. Wilson, S. Douglas (eds.) Proceedings of the IEEE Workshop on Neural Networksfor Signal Processing IX, Piscataway, New Jersey: IEEE, pp. 554–563, 1999.92. L.N. Andersen, W. Au, J. Larsen, L.K. Hansen: “Sonar discrimination of cylinders from di�erentangles using neural networks,” in Proceedings of IEEE ICASSP’99, Phoenix, AZ, March 15-19,vol. 2, pp. 1121–1124, 1999.93. J.A. Benediktsson, J. Larsen, J.R. Sveinsson & L.K. Hansen: “Optimized Combination, Regu-larization, and Pruning in Parallel Consensual Neural Networks,” in Proceedings of EuropeanSymposium on Remote Sensing, vol. 3500, Barcelona, Spain, 21–25, Sept. 1998.94. L.K Hansen & J. Larsen: “Soruce Separation in Short Image Sequences using Delayed Cor-relation,” in Proceedings of NORSIG’98, Vigsø, Denmark, pp. 253–256, ISBN-87-985750-8-2,June 1998.95. C. Goutte & J. Larsen: “Optimal Cross-Validation Split Ratio: Experimental Investigation,” Pro-ceedings of ICANN’98, Sweden, Sept. 1998, pp. 681-686.96. C. Goutte & J. Larsen: “Adaptive Metric Kernel Regression,” in T. Constantinides, S.-Y. Kung,M. Niranjan & E. Wilson (eds.) Proceedings of the IEEE Workshop on Neural Networks for SignalProcessing VIII, Piscataway, New Jersey: IEEE, pp. 184–193, 1998.97. J. Larsen, L.N. Andersen, M. Hintz-Madsen & L.K. Hansen: “Design of Robust Neural NetworkClassifiers,” in Proceedings of IEEE ICASSP’98, vol. 2, pp. 1205–1208, Seattle, USA, May 1998.98. C. Goutte & J. Larsen: “Adaptive Regularization of Neural Networks using Conjugate Gradient,”in Proceedings of IEEE ICASSP’98, vol. 2, pp. 1201–1204, Seattle, USA, May 1998.99. M.W. Pedersen & J. Larsen: “Interpretation of Recurrent Neural Networks,” in J. Principe, L.Giles, N. Morgan & E. Wilson (eds.) Proceedings of the IEEE Workshop on Neural Networks forSignal Processing VII, Piscataway, New Jersey: IEEE, pp. 82–91, 1997.

25

100. L. Nonboe Andersen, J. Larsen, L.K. Hansen & M. Hintz-Madsen: “Adaptive Regularization ofNeural Classifiers,” in J. Principe, L. Giles, N. Morgan & E. Wilson (eds.) Proceedings of theIEEE Workshop on Neural Networks for Signal Processing VII, Piscataway, New Jersey: IEEE,pp. 24–33, 1997.101. L.K. Hansen, J. Larsen & T. Fog: “Early Stop Criterion from the Bootstrap Ensemble” in Pro-ceedings of IEEE ICASSP’97, vol. 4, pp. 3205–3208, Munich, Germany, April 1997.102. J. Larsen, L.K. Hansen & C. Svarer: “Regularization of Neural Networks,” in Per ChristianHansen (ed.), Proceedings of the 4th Interdisciplinary Workshop, Techn. Univ. of Denmark,Sept. 24, 1996, ISBN 87-88306-24-0, pp. 59–66.103. P. Sørensen, M. Nørgard, L.K. Hansen & J. Larsen: “Cross-Validation with LULOO,” in S.I.Amari, L.W. Chan, I. King & K.S. Leung (eds.) Proceedings of 1996 International Conference onNeural Information Processing, ICONIP’96, Hong Kong, Sept. 24–27, vol. 2, pp. 1305–1310,1996.104. J. Larsen, L.K. Hansen, C. Svarer & M. Ohlsson: “Design and Regularization of Neural Net-works: The Optimal Use of a Validation Set,” in S. Usui, Y. Tohkura, S. Katagiri & E. Wilson(eds.) Proceedings of the IEEE Workshop on Neural Networks for Signal Processing VI, Piscat-away, New Jersey: IEEE, pp. 62–71, 1996.105. M. Hintz-Madsen, M.W. Pedersen, L.K. Hansen & J. Larsen: “Design and Evaluation of NeuralNetwork Classifiers,” in S. Usui, Y. Tohkura, S. Katagiri & E. Wilson (eds.) Proceedings of theIEEE Workshop on Neural Networks for Signal Processing VI, Piscataway, New Jersey: IEEE, pp.223–232, 1996.106. M. Hintz-Madsen, L.K. Hansen, J. Larsen, E. Olesen & K.T. Drzewiecki: “Detection of MalignantMelanoma using Neural Classifiers,” in A.B. Bulsari, S. Kallio & D. Tsaptsinos (eds.) SolvingEngineering Problems with Neural Networks, Proceedings of EANN’96, London, UK, June 17–19, pp. 395–398, 1996.107. L.K. Hansen & J. Larsen: “Unsupervised Learning and Generalization,” in Proceedings of IEEEInternational Conference on Neural Networks, Washington DC, vol. 1, pp. 25–30, June 1996.108. L.K. Hansen, L.N. Andersen, U. Kjems & J. Larsen: “Revisiting Bolzmann Learning: ParameterEstimation in Markov Fields,” in Proceedings of IEEE ICASSP’96, Atlanta, GA, vol. 6, pp. 3395–3398, 1996.109. M.W. Pedersen, L.K. Hansen & J. Larsen: “Pruning with Generalization Based Weight Salien-cies: γOBD, γOBS,” in D.S. Touretzky, M.C. Mozer & M.E. Hasselmo (eds.) Advances in Neu-ral Information Processing Systems 8, Proceedings of the 1995 Conference, Cambridge, Mas-sachusetts: MIT Press, pp. 521–528, 1996.110. T.L. Fog, J. Larsen & L.K. Hansen: “Training and Evaluation of Neural Networks for Multi-VariateTime Series Processing,” in Proceedings of 1995 IEEE International Conference on Neural Net-works, Perth, Australia, Nov. 27–Dec. 1, vol. 2, pp. 1194–1199, 1995.111. J. Larsen & L.K. Hansen: “Empirical Generalization Assessment of Neural Network Models,”in F. Girosi, J. Makhoul, E. Manolakos & E. Wilson (eds.) Proceedings of the IEEE Workshop onNeural Networks for Signal Processing V, Piscataway, New Jersey: IEEE, pp. 30–39, 1995.112. M. Hintz-Madsen, L.K. Hansen, J. Larsen, E. Olesen & K.T. Drzewiecki: “Design and Evalua-tion of Neural Classifiers Application to Skin Lesion Classification,” in F. Girosi, J. Makhoul, E.Manolakos & E. Wilson (eds.) Proceedings of the IEEE Workshop on Neural Networks for SignalProcessing V, Piscataway, New Jersey: IEEE, pp. 484–493, 1995.113. J. Larsen & L.K. Hansen: “Generalization Performance of Regularized Neural Network Models,”in J. Vlontzos, J.-N. Hwang & E. Wilson (eds.) Proceedings of the IEEE Workshop on NeuralNetworks for Signal Processing IV, Piscataway, New Jersey: IEEE, pp. 42–51, 1994.114. L.K. Hansen, C.E. Rasmussen, C. Svarer & J. Larsen: “Adaptive Regularization,” in J. Vlontzos,J.-N. Hwang & E. Wilson (eds.) Proceedings of the IEEE Workshop on Neural Networks for SignalProcessing IV, Piscataway, New Jersey: IEEE, pp. 78–87, 1994.115. C. Svarer, L.K. Hansen, J. Larsen & C.E. Rasmussen: “Designer Networks for Time Series Pro-

26

cessing,” in C.A. Kamm, G.M. Kuhn, B. Yoon, R. Chellappa & S.Y. Kung (eds.), Proceedings ofthe IEEE Workshop on Neural Networks for Signal Processing III, Piscataway, New Jersey: IEEE,pp. 78–87, 1993.116. C. Svarer, L.K. Hansen & J. Larsen: “On Design and Evaluation of Tapped-Delay Neural Archi-tectures,” in Proceedings of the IEEE International Conference on Neural Networks, San Fran-cisco, California, USA, vol. 1, pp. 46–51, 1993.117. J. Larsen: “A Generalization Error Estimate for Nonlinear Systems,” in S.Y. Kung, F. Fallside, J.Aa. Sørensen & C.A. Kamm (eds.) Neural Networks for Signal Processing II: Proceedings of the1992 IEEE-SP Workshop, Piscataway, New Jersey: IEEE, pp. 29–38, 1992.118. N. Ho�mann & J. Larsen: “A Neural Architecture for Nonlinear Adaptive Filtering of Time Se-ries,” in B.H. Juang, S.Y. Kung & C.A. Kamm (eds.) Proceedings of the first IEEE Workshop onNeural Networks for Signal Processing, Piscataway, New Jersey: IEEE, pp. 533–542, 1991.

Peer-reviewed Monographs

1. J. Larsen: Design of Neural Network Filters, PhD Thesis, Electronics Institute, Technical Uni-versity of Denmark, March 1993, (435 p.) Second Edition Jan. 1996.2. N. Ho�mann & J. Larsen: Videnbaseret Adaptiv Signalbehandling, MSc Thesis (in Danish) Elec-tronics Institute, Technical University of Denmark, vol. 1 (162 p.), vol. 2, (202 p.), vol. 3 (534p.), August 1989.Peer-reviewed Book Chapters

1. J. Madsen, B.S. Jensen, J. Larsen: “Predictive Modeling of Expressed Emotions in Music usingPairwise Comparisons,” CMMR 2012 Post-Proceedings, vol. 7900, pp. 253–277, Springer-Verlag, Berlin Heidelberg, 2013.2. M.S. Pedersen, J. Larsen, U. Kjems, and L.C. Parra: “A Survey of Convolutive Blind SourceSeparation Methods,” in J. Benesty et al. (eds.) Multichannel Speech Processing Handbook,November 2007.3. M. Hintz-Madsen, L.K. Hansen, J. Larsen and K.T. Drzewiecki: “A Probabilistic Neural NetworkFramework for Detection of Malignant Melanoma,” in R.N.G. Naguib and G.V. Sherbet (eds.)Artificial Neural Networks in Cancer Diagnosis, Prognosis and Patient Management, CRC Press,ISBN 0-8493-9692-1, Chap. 13, pp. 141–183, 2001.4. L.K. Hansen, J. Larsen and T. Kolenda: “On Independent Component Analysis for MultimediaSignals,” in L. Guan, S.Y. Kung and J. Larsen (eds.) Multimedia Image and Video Processing,CRC Press, Ch. 7, pp. 175–199, 2000.5. J. Larsen, C. Svarer, L. Nonboe Andersen & L.K. Hansen: “Adaptive Regularization in NeuralNetwork Modeling,” in G.B. Orr, K. Muller (eds.) Neural Networks: Tricks of the Trade, LectureNotes in Computer Science 1524, Germany: Springer-Verlag, Chapter 5, pp. 113–132, 1998.

Non-peer-reviewed Edited Volumes

1. A. Uncini, K. Diamantaras, F.A.N. Palmieri, and J. Larsen (eds.): Proceedings of the Interna-tional Workshop on Machine Learning for Signal Processing (MLSP) 2016, IEEE Press, Sept.2016.2. D. Erdogmus, M. Akcakaya, S. Kozat, J. Larsen (eds.): Proceedings of the International Work-shop on Machine Learning for Signal Processing (MLSP) 2015, IEEE Press, Sept. 2015.3. S. Sanei, P. Smaragdis, P. A.T. Ho, A.K. Nandi, J. Larsen: Guest Editorial: Machine Learning forSignal Processing, Journal of Signal Processing Systems, Feb. 2015.

27

4. M. Mboup, T. Adali, E. Moreau, J. Larsen (eds.): Proceedings of the International Workshop onMachine Learning for Signal Processing (MLSP) 2014, IEEE Press, Sept. 2014.5. S. Katagiri, A. Nakamura, J. Tao, J. Larsen, T. Tan (eds.): Guest Editorial: Machine Learning forSignal Processing, Journal of Signal Processing Systems, vol. 74(3), pp. 281-283, 2014.6. S. Sanei, P. Smaragdis, A. Nandi, A. T.S. Ho, J. Larsen (eds.): Proceedings of the InternationalWorkshop on Machine Learning for Signal Processing (MLSP) 2013, IEEE Press, Sept. 2013.7. I. Santamarıa, J. Arenas-Garcıa, G. Camps-Valls, D. Erdogmus, F. Perez-Cruz, J. Larsen (eds.):Proceedings of the International Workshop on Machine Learning for Signal Processing (MLSP)2012, IEEE Press, Sept. 2012.8. T. Tan, S. Katagiri, J. Tao, A. Nakamura, J. Larsen (eds.): Proceedings of the InternationalWorkshop on Machine Learning for Signal Processing (MLSP) 2011, IEEE Press, Sept. 2011.9. T. Adali, J. Chanussot, C. Jutten, J. Larsen (eds.): Proceedings of the 2009 IEEE InternationalWorkshop on Machine Learning for Signal Processing (MLSP 2009), ISBN 9781424449477,Piscataway, New Jersey: IEEE, 2009.10. M.M. Van Hulle, J. Larsen (eds.): Machine Learning for Signal Processing, Neurocomputing,vol. 72(1-3), pp. 1-2, 2008.11. K. Diamantaras, T. Adali, I. Pitas, J. Larsen, T. Papadimitriou, and S. Douglas (eds.): Pro-ceedings of IEEE Machine Learning for Signal Processing Workshop XVII, ISBN 1-4244-1566-7,Piscataway, New Jersey: IEEE, 2007.12. A.K. Barros, D. Mandic, J. Larsen (eds.): Introductory Note, Journal of VLSI signal processingsystems for signal, image and video technology, vol. 45(1-2), pp. 5-6, 2006.13. S. McLoone, T. Adali, J. Larsen, M. Van Hulle, A. Rogers and S.C. Douglas (eds.): Proceedingsof IEEE Machine Learning for Signal Processing Workshop XVI, ISBN 1-4244-0657-9, Piscat-away, New Jersey: IEEE, 2006.14. V. Calhoun, T. Adali, J. Larsen, D. Miller, S. Douglas (eds.): Proceedings of IEEE Machine Learn-ing for Signal Processing Workshop XV, ISBN 0-7803-9518-2, Piscataway, New Jersey: IEEE,2005.15. A.K. Barros, J. Principe, J. Larsen, T. Adali and S. Douglas (eds.): Proceedings of IEEE Work-shop on Machine Learning for Signal Processing XIV, ISBN 0-7803-8609-4, Piscataway, NewJersey: IEEE, 2004.16. D.J. Miller, T. Adali, J. Larsen, M.M. Van Hulle (eds.): Guest Editorial for Special Issue on Ma-chine Learning for Signal Processing, Journal of VLSI signal processing systems for signal,image and video technology, vol. 37(2-3), pp. 171-175, 2004.17. C. Molina, T. Adali, J. Larsen, M. Van Hulle, S. Douglas and J. Rouat (eds.): Proceedings of the2003 IEEE Workshop on Neural Networks for Signal Processing, ISBN 0-7803-8178-5, Piscat-away, New Jersey: IEEE, 2003.18. H. Bourlard, T. Adali, S. Bengio, J. Larsen, and S. Douglas (eds.): Proceedings of the 2002IEEE Workshop on Neural Networks for Signal Processing, ISBN 0-7803-7616-1, Piscataway,New Jersey: IEEE, 2002.19. L. Guan, T. Adali, S. Katagiri, J. Larsen, J. Principe (eds.): Guest Editorial Special Issue onIntelligent Multimedia Processing, IEEE Transactions on Neural Networks, vol. 13(4), pp. 789,2002.20. D. Miller, T. Adali, J. Larsen, M. Van Hulle and S. Douglas (eds.): Proceedings of the 2001 IEEEWorkshop on Neural Networks for Signal Processing, ISBN 0-7803-7196-8, Piscataway, NewJersey: IEEE, 2001.21. B. Widrow, L. Guan, K. Paliwa, T. Adali, J. Larsen, E. Wilson and S. Douglas (eds.): Proceedingsof the 2000 IEEE Workshop on Neural Networks for Signal Processing, ISBN 0-7803-6278-0,Piscataway, New Jersey: IEEE, 2000.22. L. Guan, S.Y. Kung and J. Larsen (eds.): Multimedia Image and Video Processing, CRC Press,ISBN 0-8493-3492-6, September 2000.23. Y.H. Hu, J. Larsen, E. Wilson and S. Douglas (eds.): Proceedings of the 1999 IEEE Workshop on

28

Neural Networks for Signal Processing, Piscataway, New Jersey: IEEE, ISBN 0-7803-5673-X,1999.24. Y.T. Tsai, T.-M. Kung & J. Larsen (eds.): Proceedings of SPIE: Input/Output and Imaging Tech-nologies, vol. 3422, ISBN 0-8194-2876-0, 1998.

Non-peer-reviewed General Subject Publications

1. P. Nesgaard, O.F. Kirkeby, J. Lynov, J. Larsen, L. Goldschmidt, C. Have, G. Just, F. Madsen:“Kunsten i en ny samfundsrolle,” (in Danish), Kroniken, Politiken, July 20, 2009.2. B. Karlsen, H.B.D. Sørensen, J. Larsen and K.B. Jackobsen: “Statistical Signal Processingin Humanitarian Mine Clearance Systems,” DSP Tidende, Dansk Selskab for Anvendt DigitalSignalbehandling, no. 13, October 2002 (in Danish).Non-peer-reviewed Conference Proceedings Papers

1. J.K. Munk, O.T. Buus, J. Larsen, E. Dossi, S. Tatlow, L. Lassig, L. Sandstrom, M.H. Jakobsen:CRIM-TRACK: Sensor System for Detection of Criminal Chemical Substances,” Proceedings ofSPIE Security + Defense, September 21–24, Toulouse, France, vol. 9652, SPIE, 2015.2. K.B. Frhling, T.S. Alstrom, M. Bache, M.S. Schmidt, M.N. Schmidt, J. Larsen, M.H. Jakobsen,A. Boisen: “Statistical Analysis of Large Areas of Raman Mapped DNA Functionalized GoldCoated Silicon Nanopillar SERS Substrates,” 8th Internaional Conference on Advanced Vibra-tional Spectroscopy, Vienna, Austria, 2015.3. T.S. Alstrøm, F.G. Bosco, J. Larsen, M. Bache, A.L. Brøgger, K.B. Frøhling, E. Hwu, C. Chen,I. Hwang, A. Boisen: Characterization of the bending response of microcantilevers using astatistical approach, Proceedings of the 11th Nanomechanical Sensing Workshop, 2014.4. J. Arenas-Garcıa, E. Parrado-Hernandez, A. Meng, J. Larsen, L.K. Hansen: “Discovering MusicStructure via Similarity Fusion,” Workshop on Music, Brain & Cognition: Learning the Structureof Music and its E�ects on the Brain, NIPS Workshop, December 7-8, Whistler Canada, 2007.5. L.K. Hansen, C. Svarer, J. Larsen & C. E. Rasmussen: “Designer Networks for Forecasting,” ab-stract in Proceedings of the 14th Annual International Symposium on Forecasting, Stockholm,Sweden, June 12–15, 1994.6. J. Larsen: “Optimizing Neural Network Architectures for Time Series Applications,” abstract inProceedings of the 14th Annual International Symposium on Forecasting, Stockholm, Sweden,June 12–15, 1994.7. J. Larsen: “Optimizing Nonparametric Regression Models Using Generalization Error Estima-tors,” poster abstract in Proceedings NATO Advanced Study Institute: From Statistics to NeuralNetworks, Les Arcs, Bourg-Saint-Maurice, France, June 20–July 2, 1993.

Technical Reports and Lecture Notes

1. M. Arngren, J. Larsen, P.W. Hansen, B. Eriksen, R. Larsen: “Supplementary material for Analy-sis of Pre-Germinated Barley using Hyperspectral Image Analysis”, Department of Informaticsand Mathematical Modelling, 2011.2. T.S. Alstrøm, J. Larsen: “Feature extraction and signal representation for colorimetric sensorarrays,” DTU Informatics, 2010.3. M. Arngren, M.N. Schmidt, J. Larsen: “Supplementary material for Unmixing of HyperspectralImages using Bayesian Nonnegative Matrix Factorization with Volume Prior,” Department ofInformatics and Mathematical Modelling, 2010.4. S. Karadogan, J. Larsen, M.S. Pedersen, J.B. Boldt: “Robust isolated speech recognition usingideal binary masks,” Department of Informatics and Mathematical Modelling, 2009.

29

5. J. Larsen: Correlation Functions and Power Spectra, lecture note for Course 04361, IMM, Tech-nical University of Denmark, 4rd Edition, Sept. 1999-2009, (22 p.)6. S. Sigurdsson, J. Larsen, P.A. Philipsen, M. Gniadecka, H.C. Wulf, L.K. Hansen: “Estimatingand Suppressing Background in Raman Spectra with an Artificial Neural Network,” Techni-cal Report Informatics and Mathematical Modelling, Technical University of Denmark, IMM-Technical report-2003-20, 2003.7. N.H. Pontoppidan, J. Larsen, S. Sigurdsson, J. Steel, R. Douglas, T. Fog and E. Brown: “DataAcquisition Strategy and Signal Preprocessing,” Technical Report Informatics and Mathemat-ical Modelling, Technical University of Denmark, 2003.8. J. Larsen: “Distribution of the Density of a Gaussian Mixture,” Technical report IMM, TechnicalUniversity of Denmark, Feb. 2003.9. J. Larsen: “Gaussian Integrals,” Technical report IMM, Technical University of Denmark, Jan.2003.10. K.V. Hansen & J. Larsen: “Classification of Seismic Reflections Using Neural Networks,” Tech-nical report Electronics Institute, Technical University of Denmark, Jan. 1994.11. N. Ho�mann & J. Larsen: “Algorithms for Model Order Reduction in Nonlinear Filters,” Techni-cal report Electronics Institute, Technical University of Denmark, Feb. 1992.12. J. Larsen: Introduction to Artificial Neural Networks, lecture note for Course 04361, IMM, Tech-nical University of Denmark, 1st edition, 1999, (51 p.).13. J. Larsen & J.Aa. Sørensen: Problems for Course 04362 Digital Signal Processing, IMM, Tech-nical University of Denmark, 3rd Edition, Sept. 1998, (33 p.)14. J. Larsen & J.Aa. Sørensen: Problem Solutions for Course 04362 Digital Signal Processing,IMM, Technical University of Denmark, 3rd Edition, Sept. 1998, (58 p.)15. J. Larsen: Course 04362 Digital Signal Processing: Solutions to Problems in Proakis and Manolakis,Digital Signal Processing, 3rd Edition, IMM, Technical University of Denmark, 3rd Edition, Sept.1998, (14 p.)16. J. Larsen: Feed-Forward Neural Networks, exercise note for Course c0466, IMM, TechnicalUniversity of Denmark, March 1997, (5 p.)17. J. Larsen: Neural Classifier 1.0 Software Documentation, IMM, Technical University of Denmark,3rd Edition, Sept. 1998, (14 p.)18. J. Larsen: Egenskaber ved Korrelationsfunktioner og E�ektspektre (in Danish), note for Coursec4232, EI, DTU, 1995, (4 p.)

Patents

1. T. Alstrøm, M.N. Schmidt, J. Larsen, K.B. Frøhling, A. Boisen, M.S. Schmidt: Method and Sys-tems of Detecting a Target Analyte, EPO 14185146.9-1504, filed Sept. 17, 2014.

30