Tutorials
- Machine Learning Meets Internet of Things: From Theory to Practice
Bharath Sudharsan and Pankesh Patel - Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
Wenjie Ruan, Xinping Yi and Xiaowei Huang - Combating Online Hate Speech: Roles of Content,Networks, Psychology, User Behavior and Others
Sarah Masud, Pinkesh Badjatiya, Amitava Das, Manish Gupta, Vasudeva Verma and Tanmoy Chakraborty - Data Shift in Machine Learning: What is it, and what are potential remedies
Ali Pesaranghader, Mehdi Ataei and Sedef Kocak - Automated Machine Learning: Methods, Tools and Challenges
Hongzhi Wang and Chunnan Wang - FAIR multi-label classification
Dragi Kocev, Jasmin Bogatinovski, Ana Kostovska and Panče Panov - Machine Learning and Reasoning for Drug Discovery
Truyen Tran - Uncertainty-aware classification: From rejection to set-valued prediction
Willem Waegeman, Titouan Lorieul and Eyke Huellermeier
Workshops
- 2nd International Workshop on Active Inference
Tim Verbelen, Christopher Buckley, Pablo Lanillos, Maxwell Ramstead and Daniela Cialfi - MACLEAN: MAChine Learning for EArth ObservatioN
Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham and Sébastien Lefèvre - 5th Interactive Adaptive Learning Workshop
Georg Krempl, Daniel Kottke, Vincent Lemaire, Andreas Holzinger and Barbara Hammer - ITEM: IoT, Edge, and Mobile for Embedded Machine Learning
Gregor Schiele, Holger Fröning, Franz Pernkopf and Michaela Blott - SoGood 2021 - Sixth Workshop on Data Science for Social Good
Ricard Gavalda, Irena Koprinska, Joao Gama and Rita Ribeiro - Advanced Analytics and Learning on Temporal Data Workshop (AALTD)
Simon Malinowski, Thomas Guyet, Georgiana Ifrim, Vincent Lemaire, Romain Tavenard and Tony Bagnall - Machine Learning for Cybersecurity (MLCS 2021)
Pedro Ferreira, Donato Malerba, Giuseppina Andresini, Ibéria Medeiros and Michael Kamp - The Combination of Symbolic and Sub-symbolic Methods and their Applications (CSSA)
Mehwish Alam, Paul Groth, Pascal Hitzler, Heiko Paulheim and Harald Sack - New Trends in Representation Learning with Knowledge Graphs
Volker Tresp, Jens Lehmann, Achim Rettinger, Mehdi Ali and Afshin Sadeghi - 8th Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics (MLSA)
Ulf Brefeld, Jesse Davis, Jan Van Haaren and Albrecht Zimmermann - MIDAS - The 6th Workshop on MIning Data for financial applications
Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti and Lorenzo Severini - Machine Learning for Irregular Time-series (ML4ITS)
Massimiliano Ruocco, Erlend Aune and Claudio Gallicchio - Machine Learning in Software Engineering (MLiSE 2021)
Philippe Fournier-Viger, M. Saqib Nawaz, Sebastian Ventura, Meng Sun and Min Zhou - Teaching Machine Learning
Peter Steinbach, Oliver Guhr and Katherine Kinnaird - Machine Learning for Pharma and Healthcare Applications (PharML)
Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda and Konstantinos Sechidis - Automating Data Science
Chris Williams, Tijl de Bie, Jose Hernandez-Orallo, Joaquin Vanschoren, Luc De Raedt and Gael Varoquaux - Parallel, Distributed, and Federated Learning
Linara Adilova, Michael Kamp and Yamuna Krishnamurthy - FEAST: International Workshop on Fair, Effective, and Sustainable Talent management using data science
Bo Kang, Mohammad Al Hasan, Hui Xiong, Dieter De Witte and Tijl De Bie - AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence
Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga and José Oramas - Machine Learning for Buildings Energy Management (MLBEM 2021)
Pedro Ferreira and Guilherme Graça - Learning with Imbalanced Domains: Theory and Applications
Nuno Moniz, Paula Branco, Luis Torgo, Nathalie Japkowicz, Michal Wozniak and Shuo Wang - Bias and Fairness in AI
Eirini Ntoutsi, Mykola Pechenizkiy and Bodo Rosenhahn
Combined Workshops & Tutorials
- XKDD 2021: 3rd International Workshop and Tutorial on eXplainable Knowledge Discovery in Data Mining
Przemek Biecek, Riccardo Guidotti, Anna Monreale and Salvatore Rinzivillo - GEM: Graph Embedding and Mining
Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard and Pascal Welke