ECAI 2020 Tutorials

ECAI 2020 hosts two kinds of tutorials: “standard” half­day tutorials and 90-minute “spotlight” tutorials.

ECAI2020 tutorials will take place on August 29-30 and September 4-5. Check the calendar below for further details.

Tutorials schedule

TitleAuthorsLinkStart DateStart TimeEnd DateEnd Time
Combining IoT and ML for situation classificationGürkan Solmazhttp://www.eecs.ucf.edu/~gsolmaz/tutorial.html2020-09-053:30 pm2020-09-055:00 pm
Cognitive Logics: Mechanisms Predicting Human Inference PatternsGabriele Kern-Isberner; Marco Ragni and Kai Sauerwaldhttp://cognitive-logics.org/ecai2020/2020-09-0510:45 am2020-09-0512:15 pm
Referring Expressions in Knowledge Representation SystemDavid Toman and Grant Weddellhttps://cs.uwaterloo.ca/~david/ecai20/2020-09-051:45 pm2020-09-055:00 pm
Belief Change: From 1985 to present daysEduardo Ferméhttp://www.cee.uma.pt/ferme//ECAI-AGM.htm2020-09-051:45 pm2020-09-055:00 pm
Mathematical Morphology and Artificial IntelligenceIsabelle Bloch; Samy Blusseau and Ramon Pino Perezhttps://perso.telecom-paristech.fr/bloch/ECAI/TutorialECAI2020.html2020-09-059:00 am2020-09-0512:15 pm
Fundamentals of Accelerated Computing with CUDA PythonKaren Bradshawhttps://sites.google.com/ru.ac.za/cuda-python-tutorial/home2020-09-059:00 am2020-09-0512:15 pm
Knowledge Graph Embeddings: From Theory to PracticeLuca Costabello; Sumit Pai; Nicholas McCarthy and Adrianna Janikhttps://kge-tutorial-ecai2020.github.io/2020-09-041:45 pm2020-09-045:00 pm
Answer Set Programming: From Theory to PracticeRoland Kaminski; Javier Romero; Torsten Schaub and Philipp Wankohttps://www.cs.uni-potsdam.de/~torsten/ecai20.html2020-09-041:45 pm2020-09-045:00 pm
Measuring Algorithmic Fairness: challenges and solutions for the industryLaura Alvarez Jubete; Andreea-Roxana Miu; Medb Corcoran and Steven Tiellhttps://fair-ml.github.io/Algorithmic-Fairness/2020-09-041:45 pm2020-09-045:00 pm
Advances in Maximum SatisfiabilityJeremias Berg; Matti Järvisalo and Ruben Martinshttps://ecai20-maxsat-tutorial.github.io/2020-09-041:45 pm2020-09-045:00 pm
Tutorial on Distributed Constraint Optimization for the Internet-of-Things (DCOP for IoT)Gauthier Picard and Pierre Rusthttps://www.emse.fr/~picard/dcop4iot/2020-09-049:00 am2020-09-0412:15 pm
Practical Uses of Existential Rules in Knowledge RepresentationDavid Carral; Markus Krötzsch and Jacopo Urbanihttps://iccl.inf.tu-dresden.de/web/Rules_Tutorial_20202020-09-049:00 am2020-09-0412:15 pm
Scalable Deep Learning: How far is one billion neurons?Decebal Constantin Mocanu; Elena Mocanu; Tiago Pinto and Zita Valehttps://sites.google.com/view/ecai2020-one-billion-neurons2020-09-049:00 am2020-09-0412:15 pm
Explanation and Fairness in Unsupervised LearningIan Davidsonhttps://www.cs.ucdavis.edu/~davidson/ECAI2020/overview.htm2020-08-303:30 pm2020-08-305:00 pm
Argumentative Explanations in AIAntonio Rago and Francesca Tonihttps://www.doc.ic.ac.uk/~afr114/ecaitutorial/2020-08-301:45 pm2020-08-303:15 pm
Deep Learning for Graphs – Processing symbolic relationships with neural networksDavide Bacciuhttps://www.learning4graphs.org/activities/tutorials/ecai-20202020-08-301:45 pm2020-08-305:00 pm
Cognitive Vision: On Deep Semantics for Explainable Visuospatial ComputingMehul Bhatt and Jakob Suchanhttps://codesign-lab.org/cognitive-vision/2020-08-301:45 pm2020-08-305:00 pm
Data Driven Policy Learning in Real World Multi-Agent EnvironmentsVaruna De Silvahttps://sites.google.com/view/varunadesilva/ecai-2020-tutorial-ma-rl?authuser=02020-08-3010:45 am2020-08-3012:15 pm
Graph Representation Learning in the Presence of Community OutliersSambaran Bandyopadhyay; Saley Vishal Vivek and Narasimha Murty Mustihttps://sites.google.com/view/node-embedding-with-outliers/home2020-08-309:00 am2020-08-3010:30 am
Computational Argumentation in the context of Human-Agent InteractionSimon Parsons; Elizabeth Sklar; Nir Oren; Nadin Kokciyan; Isabel Sassoon and Josh Murphyhttps://sites.google.com/view/arg-hai-tutorial-ecai20/2020-09-049:00 am2020-09-0412:15 pm
Probabilistic Inductive Logic ProgrammingFabrizio Riguzzihttp://ml.unife.it/pilp-ecai20/2020-08-309:00 am2020-08-3012:15 pm
A Submodular Optimization Framework for Data, Feature and Topic SummarizationRishabh Iyer and Ganesh Ramakrishnanhttps://sites.google.com/view/ecaitutorial2020summ/home2020-08-291:45 pm2020-08-295:00 pm
StaRAI – Semantics and Symmetries in Exact Lifted InferenceTanya Braun; Marcel Gehrke and Ralf Möllerhttps://www.ifis.uni-luebeck.de/index.php?id=6722020-08-291:45 pm2020-08-295:00 pm
Deep Learning in the FieldsFranz Kurfess; Theresa Migler; Jean Davidson; Andrew Migle; Paul Anderson and Maria Pantojahttps://sites.google.com/view/ecai2020deeplearninginthefield/2020-08-291:45 pm2020-08-295:00 pm
Machine Learning Guided Program SynthesisNathanaël Fijalkow and Guillaume Lagardehttps://deepsynth.labri.fr/?page=tutorial2020-08-2910:45 am2020-08-2912:15 pm
An Introduction to Vector Symbolic Architectures and Hyperdimensional ComputingPeer Neubert; Kenny Schlegel and Stefan Schuberthttps://www.tu-chemnitz.de/etit/proaut/vsa_ecai202020-08-299:00 am2020-08-2910:30 am
Probabilistic Circuits: Representations, Inference, Learning and ApplicationsAntonio Vergari; Yoojung Choi; Robert Peharz and Guy Van den Broeckhttp://web.cs.ucla.edu/~guyvdb/talks/ECAI20-tutorial/2020-08-299:00 am2020-08-2912:15 pm
Automatic Keyphrase Extraction from Text: A Walk-throughEirini Papagiannopoulou; Ricardo Campos and Grigorios Tsoumakashttps://intelligence-csd-auth-gr.github.io/KE_Tutorial/2020-08-299:00 am2020-08-2912:15 pm

Additional information

Any questions about the tutorial program should be directed to the tutorial chairs:

Contact: tutorials-chairs@ecai2020.eu

The Call for Tutorial proposals is available here.