Session 1: Event Opening and Keynote

Session Chair: Jelena Zdravkovic

09:00 - 09:10

Opening remarks: Panagiotis Papapetrou, Jelena Zdravkovic

09:10 - 09:50

On Explainable Machine Learning

Mykola Pechenizkiy, Eindhoven University of Technology, The Netherlands

Session 2: Representation Learning from Complex Data

Session Chairs: Panagiotis Papapetrou and Jaakko Hollmen

10:00 - 10:25

Learning from complex medical data sources

Jonathan Rebane, 4th year
10:25 - 10:50

Learning optimal treatment strategies

Maria Bampa, 2nd year
5min pause
10:55 - 11:20

Mining temporal abstractions from complex data sources

Zed Lee, 2nd year
11:20 - 11:45

Internet of medical things with distributed machine learning

Mahbub Ul Alam, 3rd year

Session 3: Reinforcement Learning and Machine Learning Applications

Session Chair: Sindri Magnusson

12:30-12:55

Enhancing interactive immersive applications with real-time data science

Luis Quintero, 2nd year
12:55-13:20

Interpretable Machine Learning in Education

Muhamamd Afzaal, 2nd year
13:20-13:45

Predicting Value Functions with Periodic Rewards

Guilherme Dj, 1st year, Spotify

Session 4: Model Interpretability

Session Chair: Tony Lindgren

14:00-14:25

Explainations for Learning to Rank Models

Maria Movin, 1st year, Spotify
14:25-14:50

Improving Local Explainability in Machine Learning

Alejandro Kuratomi, 2nd year
14:50-15:15

Explanaible machine learning in the medical domain

Zhendong Wang, 1st year

Closing Remarks