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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