MODELS 2021 (series) / Technical Papers / Predictions-on-Chip: Model-based Training and Automated Deployment of Machine Learning Models at Runtime
Predictions-on-Chip: Model-based Training and Automated Deployment of Machine Learning Models at RuntimeJ1ST
Wed 13 Oct 2021 09:20 - 09:40 at Room 1 - Machine learning and Recommender systems I Chair(s): Betty H.C. Cheng
Wed 13 OctDisplayed time zone: Osaka, Sapporo, Tokyo change
Wed 13 Oct
Displayed time zone: Osaka, Sapporo, Tokyo change
09:00 - 10:00 | Machine learning and Recommender systems ITechnical Papers at Room 1 Chair(s): Betty H.C. Cheng Michigan State University | ||
09:00 20mTalk | Using Recommender Systems to Improve Proactive ModelingJ1ST Technical Papers | ||
09:20 20mTalk | Predictions-on-Chip: Model-based Training and Automated Deployment of Machine Learning Models at RuntimeJ1ST Technical Papers Sebastian Pilarski McGill University, Martin Staniszewski , Matthew Bryan , Frederic Villeneuve , Daniel Varro McGill University / Budapest University of Technology and Economics | ||
09:40 10mDemonstration | DoMoBOT: An AI-Empowered Bot for Automated and Interactive Domain ModellingDEMO Technical Papers Rijul Saini McGill University, Canada, Gunter Mussbacher McGill University, Jin L.C. Guo McGill University, Jörg Kienzle McGill University, Canada | ||