Workshops & Tutorials Monday, September the 19th Friday, September the 23rd In-person W Machine Learning and Data Mining for Sports Analytics W MACLEAN: MAChine Learning for EArth Observation W Int. Workshop on Active Inference W Machine Learning for Cybersecurity (MLCS) W 4th. Int. Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD) W PharML, Machine Learning for Pharma and Healthcare Applications W Quantum Machine Learning: Theory, Algorithms and Applications W Multi-Label Learning: Current Trends and Open Challenges W Workshop on Trustworthy Artificial Intelligence W IoT, Edge, and Mobile for Embedded Machine Learning W AI in manufacturing W Semantic Data Mining (SEDAMI) C Uplift Modeling Tutorial & Workshop T Multi-Target Prediction with Deep Neural Network: A hands-on tutorial T Graph Embedding for Web-Scale Recommender Systems W 7th Int. Workshop on Advanced Analytics and Learning on Temporal Data W SoGood 2022 – 7th Int. Workshop on Data Science for Social Good W 6th Int. Workshop on Interactive Adaptive Learning W 2nd Int. Workshop on Fair, Effective, and Sustainable Talent management using data science W MLG: Mining and Learning with Graphs W Teaching Machine Learning W Learning with Imbalanced Domains: Theory and Applications W KDID 2022: 20th anniversary of KDID Workshop W New Frontiers in Mining Complex Patterns W MIDAS 2022 – The 7th Workshop on MIning DAta for financial applicationS W Data and Model Quality for Mining and Learning with Graphs: Methods and Open Challenges (Graph Quality) W Learning to Quantify: Methods and Applications C (Meta-)Knowledge Transfer/Communication in Different Systems T Validity, Reliability, and Significance: a Tutorial on Statistical Methods for Reproducible Machine Learning T Sparse Neural Networks Training On-line W Open-SOFOS: Open Data Science fOr Food Security W DALS: Data Analysis in Life Sciences W Machine Learning for Buildings Energy Management (MLBEM) W 2nd Int. Workshop on Modelling Uncertainty in the Financial World T Reward-Optimizing Recommendation using Deep Learning and Fast Inner Product Search T Graph Mining and Multi-Relational Learning: Tools and Application T Hyperbolic Graph Representation Learning: A Tutorial W Machine Learning for Microbial Genomics W Interactive Data Mining C IoT Streams for Predictive Maintenance T What if rewards are Unknown? Battle of Bandits: Online learning from Preference Feedback, Beyond Rewards W : workshop, C : combined workshop and tutorial, T : tutorial