Summer schools, keynotes

Gianluca Bontempi's recent summer schools, keynotes and tutorials

2016 Keynote at Discovery Science conference + 2014 Grenada Summer School "Perspectives of feature selection in bioinformatics: from relevance to causal inference"
2017 ESHRE Workshop Capri (I) "Genome-wide molecular studies and expectations: is statistics switching-off the illusion ?"
2017 Keynote at European Parliament, "Data science: from prediction to decision making"
2017 Brussel BSSM summer school "Machine Learning for predicting in a big data world"
2018 ENS Cachan (F) summer school on transfer learning "Multi-task learning and forecasting"
2020: Politecnico di Milano summer school "From supervised learning to causal inference in large dimensional settings", PhD Course,
2020 French-German Summer School with Industry on ML, AI "Causality and big data analytics: risk, challenges and perspectives"
2020 Keynote at Models and Learning in Clustering and Classification (MBC) conference "From supervised learning to causal inference"
2021 4th International Workshop on Big Mobility Data Analytics A tutorial on network-wide multi-horizon traffic forecasting with deep learning
2022: IIF Forecasting summer school: "Machine learning techniques for forecasting: perspectives and limitations"
2002 FACTpresentation at Benelearn conference "AI decision-making and ethics: what a data scientist should know"
2023: IRIDTA BigDat23 Summer School "Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference "
2023: IEEE BigData23 Tutorial Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference
2026: SoFIE 2026 Summer school on AI for Macroeconomic Analysis, Turin, Italy
2026: Digital Twins and AI: tutorial at the Intelligent Environments IE26 conference, Lisbon, Portugal