UKCI 2017 Cardiff Bay, September 6-8

Schedule

Wednesday (6th September) 8:30 Registration 9:00 Welcome 9:15 Keynote: Juergen Branke 10:15 Coffee break 10:45 Modelling and representation 1

• John Heritage, Sharon McDonald and Ken McGarry: Integrating association rules mined from health-care data with ontological information for automated knowledge generation

• Kai Lin, Dazhen Lin and Donglin Cao: Sentiment analysis model based on structure attention mechanism

• Ratih Nur Esti Anggraini and Trevor P. Martin: Fuzzy representation for flexible requirement satisfaction

• Yu Wan, Yidong Chen, Xiaodong Shi, Guorong Cai and Libai Cai: A multidisciplinary method for constructing and validating word similarity datasets

12:05 Lunch 13:45 Learning 1

• Naohiro Ishii, Ippei Torii, Kazunori Iwata, Kazuya Odagiri and Toyoshiro Nakashima: Generation of reducts and threshold functions using discernibility and indiscernibility matrices

• Qianqian Zhou, Chih-Min Lin and Fei Chao: Adaptive noise cancelation with fuzzy brain emotional learning network

• John Butcher, Abigail Rutter, Adam Wootton, Charles Day and Josep Sulé-Suso: Artificial neural network analysis of volatile organic compounds for the detection of lung cancer

• Emmanuel Smith, Jim Smith, Phil Legg and Simon Francis: Predicting the occurrence of world news events using recurrent neural networks and auto-regressive moving average models

15:05 Coffee break 15:35 Optimisation 1

• Khaled Alrajhi, Jonathan Thompson and Wasin Padungwech: A heuristic approach for the dynamic frequency assignment problem

• Darren Chitty: Applying ACO to large scale TSP instances • Twinkle Tripathy, Sarat Chandra Nagavarapu, Kaveh Azizian, Ramesh

Pandi Ramasamy and Justin Dauwels: Solving dial-a-ride problems using multiple ant colony system with fleet size minimisation

Thursday (7th September) 9:00 Modelling and representation 2

• Zhenpeng Li, Changjing Shang and Qiang Shen: Fuzzy connected-triple for predicting inter-variable correlation

• Ken McGarry and Ennock Assamoha: Data integration with self-organising neural network reveals chemical structure and therapeutic effects of drug ATC codes

• Pu Zhang and Qiang Shen: A modified approach to inferring animal social networks from spatiotemporal data streams

10:00 Coffee break 10:30 Control and Human-Machine Systems 1

• Xiangqian Liu, Fei Chao, Min Jiang, Changle Zhou, Weifeng Ren and Minghui Shi: Towards low-cost P300-based BCI using Emotiv Epoc headset

• Jiangqin Xu, Zhongqiang Huang, Minghui Shi and Min Jiang: Emotion detection in e-learning using expectation-maximization deep spatial-temporal inference network

• David Ada Adama, Ahmad Lotfi, Caroline Langensiepen and Kevin Lee: Human activities transfer learning for assistive robotics

11:30 Intelligent Transportation 1 • Shuru Wang, Donglin Cao, Dazhen Lin and Fei Chao: Traffic condition

analysis based on users emotion tendency of microblog • Hejia Du, Hongguang Ma and Xiang Lin: Fuzzy bi-objective chance-

constrained programming model for timetable optimization of a bus route

• Haitao Yu, Hongguang Ma, Hejia Du, Xiaoran Dong and Yong Du: Bus scheduling timetable optimization based on hybrid bus sizes

12:30 Lunch 14:00 Keynote: Anthony Cohn 15:00 Coffee break 15:30 Optimisation 2

• Hui Li, Jianyong Sun, Yuanyuan Fan, Mingyang Wang and Qingfu Zhang: A new steady-state MOEA/D for sparse optimization

• Şafak Topçu and A. Şima Etaner-Uyar: A multiobjective evolutionary algorithm approach for map sketch generation

• Xiaogang Fu, Jianyong Sun and Qingfu Zhang: Reference-inspired many-objective evolutionary algorithm with subregion decomposition

16:30 Business meeting 19:00 Dinner

Côte Brasserie - Cardiff Bay 25 Mermaid Quay, Cardiff Bay, Cardiff CF10 5BZ 029 2045 3780

Friday (8th September) 9:00 Keynote 10:00 Coffee break 10:30 Intelligent Transportation 2

• Ye Wang, Wansheng Tang and Ruiqing Zhao: Supplier’s information strategy in the presence of a dominant retailer

• Xiaofeng Xu and Jing Liu: Optimization allocation between multiple logistic tasks and logistic resources considered demand uncertainty

• Wenyan Yuan, Jian Wang, Jian Li, Bailu Yan and Jun Wu: Two-stage heuristic algorithm for a new model of hazardous material multi-depot vehicle routing problem

11:30 Control and Human-Machine Systems 2 • Yahya Qasim Al-Fadhili, Paul Chung, Baihua Li and Richard Bowman:

3D simulation of navigation problem of people with cerebral visual impairment

• Ryan Cameron, Zheming Zuo, Graham Sexton and Longzhi Yang: A fall detection/recognition system and an empirical study of gradient-based feature extraction approaches

• Owain Carpanini and Federico Cerutti: Towards an ontology of trust for situational understanding

12:30 Lunch 14:00 Learning 2

• Zirak Allaf, Mo Adda and Alexander Gegov: A comparison study on flush+reload prime+probe attacks on AES using machine learning approaches

• Humphrey Sheil and Omer Rana: Classifying and recommending using gradient boosted machines and vector space models

• Coral Walker and Hassan Alrehamy: SemCluster: unsupervised automatic keyphrase extraction using affinity propagation

• Christopher Hinde, Nandini Chakravorti, Tatiana Tambouratzis, and Andrew West: Reducing symbolic regression.

15:20 Coffee break 15:45 Closing session