ECAI 2020 Tutorials

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Description of the event:

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 Solmaz pm2020-09-055:00 pm
Cognitive Logics: Mechanisms Predicting Human Inference PatternsGabriele Kern-Isberner; Marco Ragni and Kai Sauerwald am2020-09-0512:15 pm
Referring Expressions in Knowledge Representation SystemDavid Toman and Grant Weddell pm2020-09-055:00 pm
Belief Change: From 1985 to present daysEduardo Fermé pm2020-09-055:00 pm
Mathematical Morphology and Artificial IntelligenceIsabelle Bloch; Samy Blusseau and Ramon Pino Perez am2020-09-0512:15 pm
Fundamentals of Accelerated Computing with CUDA PythonKaren Bradshaw am2020-09-0512:15 pm
Knowledge Graph Embeddings: From Theory to PracticeLuca Costabello; Sumit Pai; Nicholas McCarthy and Adrianna Janik pm2020-09-045:00 pm
Answer Set Programming: From Theory to PracticeRoland Kaminski; Javier Romero; Torsten Schaub and Philipp Wanko pm2020-09-045:00 pm
Measuring Algorithmic Fairness: challenges and solutions for the industryLaura Alvarez Jubete; Andreea-Roxana Miu; Medb Corcoran and Steven Tiell pm2020-09-045:00 pm
Advances in Maximum SatisfiabilityJeremias Berg; Matti Järvisalo and Ruben Martins pm2020-09-045:00 pm
Tutorial on Distributed Constraint Optimization for the Internet-of-Things (DCOP for IoT)Gauthier Picard and Pierre Rust am2020-09-0412:15 pm
Practical Uses of Existential Rules in Knowledge RepresentationDavid Carral; Markus Krötzsch and Jacopo Urbani am2020-09-0412:15 pm
Scalable Deep Learning: How far is one billion neurons?Decebal Constantin Mocanu; Elena Mocanu; Tiago Pinto and Zita Vale am2020-09-0412:15 pm
Explanation and Fairness in Unsupervised LearningIan Davidson pm2020-08-305:00 pm
Argumentative Explanations in AIAntonio Rago and Francesca Toni pm2020-08-303:15 pm
Deep Learning for Graphs – Processing symbolic relationships with neural networksDavide Bacciu pm2020-08-305:00 pm
Cognitive Vision: On Deep Semantics for Explainable Visuospatial ComputingMehul Bhatt and Jakob Suchan pm2020-08-305:00 pm
Data Driven Policy Learning in Real World Multi-Agent EnvironmentsVaruna De Silva am2020-08-3012:15 pm
Graph Representation Learning in the Presence of Community OutliersSambaran Bandyopadhyay; Saley Vishal Vivek and Narasimha Murty Musti 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 Murphy am2020-09-0412:15 pm
Probabilistic Inductive Logic ProgrammingFabrizio Riguzzi am2020-08-3012:15 pm
A Submodular Optimization Framework for Data, Feature and Topic SummarizationRishabh Iyer and Ganesh Ramakrishnan pm2020-08-295:00 pm
StaRAI – Semantics and Symmetries in Exact Lifted InferenceTanya Braun; Marcel Gehrke and Ralf Möller pm2020-08-295:00 pm
Deep Learning in the FieldsFranz Kurfess; Theresa Migler; Jean Davidson; Andrew Migle; Paul Anderson and Maria Pantoja pm2020-08-295:00 pm
Machine Learning Guided Program SynthesisNathanaël Fijalkow and Guillaume Lagarde am2020-08-2912:15 pm
An Introduction to Vector Symbolic Architectures and Hyperdimensional ComputingPeer Neubert; Kenny Schlegel and Stefan Schubert am2020-08-2910:30 am
Probabilistic Circuits: Representations, Inference, Learning and ApplicationsAntonio Vergari; Yoojung Choi; Robert Peharz and Guy Van den Broeck am2020-08-2912:15 pm
Automatic Keyphrase Extraction from Text: A Walk-throughEirini Papagiannopoulou; Ricardo Campos and Grigorios Tsoumakas am2020-08-2912:15 pm

Additional information

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


The Call for Tutorial proposals is available here.