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Contribution to research in new models of knowledge extraction on BigData systems 14-15th June, 2018. Vigo - Spain Héctor Cerezo Supervised Models (e.g. sentiment polarity) Unsupervised Models (e.g. semantic similarity) Weak Supervised Models (e.g. entity relation extraction)

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Contribution to research in new models of knowledge extraction on BigData systems

14-15th June, 2018. Vigo - SpainHéctor Cerezo

Supervised Models(e.g. sentiment

polarity)

Unsupervised Models(e.g. semantic

similarity)

Weak Supervised Models

(e.g. entity relation extraction)

GAME DATA

- UNITY

- Touch screen

GAME ANALYTICS

- RF, ET, SVM...

- F1, K, ACC…

- Scitkit-Learn

EARLY DETECTION OF COGNITIVE IMPAIRMENT THROUGH GAMIFICATION, MACHINE LEARNING TECHNIQUES AND ICT TOOLS

MAIN GOAL: EARLY DETECTION OF COGNITIVE IMPAIRMENT

VALIDITY PROCESS:

• Design: Focus group (n=15 seniors)

• Psychometric Validity & Reliability: 1ST pilot study: (n=16 seniors)

2ND pilot study: (n=74 seniors & 15 testers)

Author:

Sonia Mª Valladares Rodríguez ([email protected])

Advisors:

Luis Anido Rifón (Full Professor)

J. Manuel Fernández Iglesias (Associate Professor)

Workshop on Monitoring

PhD Student Progress

University of Vigo, June 14-15, 2018

0,00

0,20

0,40

0,60

0,80

1,00

ET ANN SVM RF

METRICS PREDICTION VALIDITY

F1 accuracy kappa

Enhance learners’ experience in E-

learning based scenarios using Intelligent

Alerting Systems and Learning AnalyticsAuthor: Ricardo Manuel Meira Ferrão Luis

Thesis Advisors: Martín Llamas Nistal & Manuel J. Fernández Iglesias

School of Telecommunications

Engineering

Information and Communications

Technology

Workshops on Monitoring PhD Students Progress, 14 and 15 of June 2018, University of Vigo, Spain ricardoluis.pt.vu

Motivation

Low Completion

RatesDropout Patterns

Learning

Analytics

InterviewsSurvey

Intelligent

Alerting

System

?

Messaging

Alerts

Tutor

Increase Completion

Rates

%

+ +

Protocol + Guidelines + Rules

Detect Motives and Behaviors

Prototype + Test

+ Validate

494 10

4th Year

E-learning

E-learning+ Intelligent Alerting Systems

+ Learning Analytics

MULT IMEDIA DATA ANAL ISYS FOR EMOTION RECOGNIT ION

GOALS:•Change DDBB from AVEC 2013 to AVEC 2016.• Introduce GRU and LSTM cells in the architecture. GRU selected• Introduce techniques to resolve the imbalanced problem in the DDBB.• Study different techniques to detect the depression in utterance level. Develop new method.• Preleminary results using Inception nets.

Fast vision algorithms for advanced driver assistance systemsPhD: Francisco Parada Loira

Advisor: JOSE LUIS ALBA CASTRO2018 WORKSHOP ON MONITORING PhD STUDENT PROGRESS

More tan one million people die eachyear due to car accidents. But evenautonomous cars have accidentsSome Examples

Task solved?A lot of work goingfrom level 3 to level 5

Would you buy a car that cost 5 times more than current cars?

My contributionImprove some object detectionImprove perception determining 3D surround of the vehicleAdapting algorithms to work in real time

CostSafety

Workshop on Monitoring PhD Student Progress, June 15, 2018, Vigo (Spain)

Anomaly detection

IoT PartCLA Part

Optimization of SmartGrid critical-event [email protected] / Advisor: [email protected]

Existing toolsDevelopments

Thesis Objectives

HTM engine

GridlabD simulation

SDR encoder

Contribution to Natural Language Generation for Spanish

Silvia García Mé[email protected]

Workshop on Monitoring PhD Student Progress. June, 2018. University of Vigo, Spain.

ANALYSIS OF CLOUD SERVICES SPOT MARKETS

• Thesis objectives:• Analyze if the auction market is transparent• Develop forecasting techniques to predict spot

prices• Define a profitable strategy for using the Spot

Market• Evaluate the strategies and the predictions

Antonio Vidal VidalAdvisor: Francisco Javier González Castaño