The workshop at Bellairs runs from Friday (day of arrival) to Friday (day of departure). Breakfast is served at 8:00 in the eating area. Typically, each working day (Saturday to Wednesday) has a morning session which goes from 8:30-12:30, followed by a long lunch/beach break (it is usually too hot to work during that time), followed by the afternoon session from 16:30-18:00. Dinner is served from 18:00 again in the eating area. The evening session is from 19:00-21:30 (followed by more informal discussions on the terrace). Thursday is typically a day for excursions, a snorkeling trip to swim with turtles is typically scheduled on Monday afternoon, and a workshop dinner at a beach-side restaurant is typically organized for Wednesday evening.
8:30 Opening and Welcome (Jörg Kienzle), Workshop History and Expectations (Benoit Combemale)
9:10 Short Presentations (Benoit Combemale, Eugene Syriani, Jörg Kienzle, Loli Burgueño, Gunter Mussbacher, Pierre Jeanjean, Houari Sahraoui, Martin Weyssow, Nelly Bencomo, Thomas Kühn, Silvia Abrahão, Jean-Marc Jézéquel, Gregor Engels)
11:15 Plenary Session
16:30 Short Presentations (Dániel Varró, Sébastien Mosser, Marton Bur, Hyacinth Ali)
16:45 Plenary Session
Plenary Session, Planning for the next days
Plenary Session, Break-out Groups, Plenary Session (Reports from Break-out Groups)
Plenary Session (Reports from Break-out Groups)
Plenary Session
Plenary Session, Break-out Groups
19:00 Plenary Session (Report from Break-out Groups) 19:45 Keynote
Keynote - Marie-Jean Meurs
"Machine learning algorithms: In the land of applications, data rule them all"
Machine learning is currently one of the most vibrant areas of research in artificial intelligence, with many new algorithms exploring how to learn, classify, predict in various contexts. However, when it comes to implementing them in real-world applications, the results they can provide depend on the availability, quality, quantity and characteristics of the data. We will illustrate these challenges in the context of two research projects aimed at applying AI in the areas of legal techniques and mental health.
Marie-Jean Meurs, PhD, is an Associate Professor in Artificial Intelligence with the Department of Computer Science at University of Quebec in Montreal (UQAM), Montreal, Canada. Her fields of expertise are Machine Learning, Natural Language Processing, Sentiment Analysis, and Interdisciplinary Research. Marie-Jean holds a master's degree in mathematics and a PhD in computer science. Her PhD thesis investigated machine learning approaches for natural language understanding in dialog systems. Her research interests focus on machine learning and information retrieval for natural language processing, and their applications to health and human rights in the context of interdisciplinary research. She is leading the HumanIA research group for humanistic and multidisciplinary research on AI, which she cofounded in 2017, following the creation of the LegalIA group working on AI and justice. She has developed a strong expertise in sentiment analysis, in particular in the mental health domain, and is currently the Principal Investigator of the New Frontiers in Research project RELAI: Respectful and ExpLainable AI to Support Struggling People and Mental Health Practitioners.
Plenary Session, Break-out Groups, Plenary Session
Break-out Groups, Plenary Session
19:00 Plenary Session, Break-out Groups
19:45 Guest Presentation by Martin Robillard: Recommendation Systems
20:45 Plenary Session
Plenary Session, Break-out Groups, Plenary Session
Plenary Session