The conference schedule can be found on the ‘Programme‘ page.
Parallel sessions 1
Agents/RL (1)
Nov 19: 10:30 – 12:00
Room: Antoniadis
Session chair: Mike Preuss
Vahid Yazdanpanah, Devrim M. Yazan and W. Henk M. Zijm | Transaction Cost Allocation in Industrial Symbiosis: A Multiagent Systems Approach | Long paper | |
Alex Mandersloot, Frans Oliehoek and Aleksander Czechowski | Exploring the Effects of Conditioning Independent Q-Learners on the Sufficient Statistic for Dec-POMDPs | Thesis abstract | |
Grigory Neustroev and Mathijs M. de Weerdt | Generalized Optimistic Q-Learning with Provable Efficiency | Summary of existing work | |
Wojtek Jamroga, Wojciech Penczek, Teofil Sidoruk, Piotr Dembiński and Antoni Mazurkiewicz | Towards Partial Order Reductions for Strategic Ability | Summary of existing work |
Speech, music, time series
Nov 19: 10:30 – 12:00
Room: Boerhaave
Session chair: Jefrey Lijffijt
Luca Angioloni, Tijn Borghuis, Lorenzo Brusci and Paolo Frasconi | CONLON: A Pseudo-song Generator Based on a New Pianoroll, Wasserstein Autoencoders, and Optimal Interpolations | Summary of existing work | |
Tijs Rozenbroek | Sequence-to-Sequence Speech Recognition for Air Traffic Control Communication | Thesis abstract | |
Elahe Bagheri, Oliver Roesler, Hoang-Long Cao and Bram Vanderborght | Emotion Intensity and Gender Detection via Speech and Facial Expressions | Short paper | |
Simon Jaxy, Isel Grau, Nico Potyka, Gudrun Pappaert, Catharina Olsen and Ann Nowé | Teaching a Machine to Diagnose a Heart Disease; Beginning from Digitizing Scanned ECGs to Detecting the Brugada Syndrome (BrS) | Thesis abstract |
Classification
Nov 19: 10:30 – 12:00
Room: Casimir
Session chair: Jaap van den Herik
Joep Burger and Quinten Meertens | The Algorithm versus the Chimps: On the Minima of Classifier Performance Metrics | Short paper | |
Kevin Kloos, Quinten Meertens, Sander Scholtus and Julian Karch | Comparing Correction Methods for Misclassification Bias | Long paper | |
Marilyn Bello, Gonzalo Nápoles, Ricardo Sánchez, Koen Vanhoof and Rafael Bello | Extraction of High-level Features and Labels in Multi-label Classification Problems | Summary of existing work | |
Laurent Mertens, Peter Coopmans and Joost Vennekens | Learning to Classify Users in the Buyer Modalities Framework to Improve CTR | Short paper |
Data mining & knowledge graphs
Nov 19: 10:30-12:00
Room: Dijkstra
Session chair: Matthijs van Leeuwen
Alexandre Dubray, Guillaume Derval, Siegfried Nijssen and Pierre Schaus | Mining Constrained Regions of Interest: An Optimization Approach | Summary of existing work | |
Michiel Dhont, Elena Tsiporkova and Veselka Boeva | Layered Integration Approach for Multi-view Analysis of Temporal Data | Summary of existing work | |
Stijn Hendrikx, Nico Vervliet, Martijn Boussé and Lieven De Lathauwer | Tensor-based Pattern Recognition, Data Analysis and Learning | Thesis abstract | |
Victor Ciupec and Peter Bloem | Re-evaluating Knowledge Graph Embedding Models Performance on Domain Specific Datasets | Thesis abstract |
Parallel sessions 2
Agents/RL (2)
Nov 19: 12:45 – 14:15
Room: Antoniadis
Session chair: Aske Plaat
Roxana Rădulescu, Patrick Mannion, Diederik M. Roijers and Ann Nowé | Recent Advances in Multi-Objective Multi-Agent Decision Making | Summary of existing work | |
David Maoujoud and Gavin Rens | Reputation-driven Decision-making in Networks of Stochastic Agents | Long paper | |
Simon Vandevelde and Joost Vennekens | A Multifunctional, Interactive DMN Decision Modelling Tool | Demo paper | |
Eugenio Bargiacchi, Diederik M. Roijers and Ann Nowé | AI-Toolbox: A Framework for Fundamental Reinforcement Learning | Summary of existing work |
Natural language (1)
Nov 19: 12:45 – 14:15
Room: Boerhaave
Session chair: Jerry Spanakis
Thomas Winters and Pieter Delobelle | Dutch Humor Detection by Generating Negative Examples | Short paper | |
Yixia Wang and Giacomo Spigler | Understanding Happiness by Using a Crowd-sourced Database with Natural Language Processing | Thesis abstract | |
Jelle Bosscher | Capturing Implicit Biases with Positive Operators | Thesis abstract | |
Pim Meerdink and Maarten Marx | Tracking Dataset Use Across Conference Papers | Thesis abstract |
Image
Nov 19: 12:45 – 14:15
Room: Casimir
Session chair: Lu Cao
Dhasarathy Parthasarathy and Anton Johansson | Does the Dataset Meet your Expectations? Explaining Sample Representation in Image Data | Long paper | |
Tonio Weidler, Mario Senden and Kurt Driessens | Modeling Spatiosemantic Lateral Connectivity of Primary Visual Cortex in Convolutional Neural Networks | Thesis abstract | |
Callum Clark | Applying Faster R-CNN and Mask R-CNN on the MinneApple Fruit Detection Challenge | Thesis abstract | |
Joel Ruhe, Pascal Wiggers and Valeriu Codreanu | Large Cone Beam CT Image Scan Quality Improvement Using a Deep Learning U-Net Model | Thesis abstract |
Optimization
Nov 19: 12:45 – 14:15
Room: Dijkstra
Session chair: Johan Kwisthout
Rickard Karlsson, Laurens Bliek, Sicco Verwer and Mathijs de Weerdt | Continuous Surrogate-based Optimization Algorithms are Well-suited for Expensive Discrete Problems | Long paper | |
Siegfried Ludwig, Joeri Hartjes, Bram Pol, Gabriela Rivas and Johan Kwisthout | A Spiking Neuron Implementation of Genetic Algorithms for Optimization | Long paper | |
Paulo R. de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang and Alp Akcay | Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning | Summary of existing work | |
Reza Refaei Afshar, Yingqian Zhang, Murat Firat and Uzay Kaymak | A State Aggregation Approach for Knapsack Problem with Deep Reinforcement Learning | Summary of existing work |
Parallel sessions 3
Agents/RL (3)
Nov 19: 14:30 – 16:00
Room: Antoniadis
Session chair: Giacomo Spigler
Pieter J.K. Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey and Ann Nowé | Deep Reinforcement Learning for Large-scale Epidemic Control | Summary of existing work | |
Nele Albers, Miguel Suau de Castro and Frans A. Oliehoek | Learning What to Attend to: Using Bisimulation Metrics to Explore and Improve Upon What a Deep Reinforcement Learning Agent Learns | Thesis abstract | |
Timothy Verstraeten, Eugenio Bargiacchi, Pieter J.K. Libin, Jan Helsen, Diederik Roijers and Ann Nowé | Multi-Agent Thompson Sampling for Bandits with Sparse Neighbourhood Structures | Summary of existing work | |
Aleksander Czechowski and Frans A. Oliehoek | Alternating Maximization with Behavioral Cloning | Summary of existing work |
Natural language (2)
Nov 19: 14:30 – 16:00
Room: Boerhaave
Session chair: Jennifer Spenader
Thalea Schlender and Gerasimos Spanakis | ‘Thy algorithm shalt not bear false witness’: An Evaluation of Multiclass Debiasing Methods on Word Embeddings | Long paper | |
Paulo Alting von Geusau and Peter Bloem | Evaluating the Robustness of Question-Answering Models to Paraphrased Questions | Long paper | |
Jens Nevens, Paul Van Eecke and Katrien Beuls | From Continuous Observations to Symbolic Concepts: A Discrimination-Based Strategy for Grounded Concept Learning | Summary of existing work | |
Geerten Rijsdijk and Giovanni Sileno | Solving Hofstadter’s Analogies Using Structural Information Theory | Long paper |
Other applications
Nov 19: 14:30 – 16:00
Room: Casimir
Session chair: Nico Roos
Alberto Franzin, Raphaël Gyory, Jean-Charles Nadé, Guillaume Aubert, Georges Klenkle and Hugues Bersini | Philéas: Anomaly Detection for IoT Monitoring | Long paper | |
Jan H. van Staalduinen, Jaco Tetteroo, Daniela Gawehns and Mitra Baratchi | An Intelligent Tree Planning Approach Using Location-based Social Networks Data | Long paper | |
Yaniv Oren, Rolf A.N. Starre and Frans A. Oliehoek | Comparing Exploration Approaches in Deep Reinforcement Learning for Traffic Light Control | Long paper | |
Marlon B. de Jong and Arnoud Visser | Combining Structure from Motion with Visual SLAM for the Katwijk Beach dataset | Thesis abstract |
XAI, unsupervised learning
Nov 19: 14:30 – 16:00
Room: Dijkstra
Session chair: Egon van den Broek
Carel Schwartzenberg, Tom van Engers and Yuan Li | The Fidelity of Global Surrogates in Interpretable Machine Learning | Long paper | |
Isel Grau, Dipankar Sengupta, María M. García Lorenzo and Ann Nowé | An Interpretable Semi-supervised Classifier Using Rough Sets for Amended Self-labeling | Summary of existing work | |
Simone C.M.W. Tummers, Arjen Hommersom, Lilian Lechner, Catherine Bolman and Roger Bemelmans | Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning | Long paper | |
Alexandre Merasli, Ivo V. Stuldreher and Anne-Marie Brouwer | Unsupervised Clustering of Groups with Different Selective Attentional Instructions Using Physiological Synchrony | Thesis abstract |
Parallel sessions 4
RL & cooperation
Nov 20: 10:30 – 12:00
Room: Antoniadis
Session chair: Tijn Borghuis
Floris den Hengst, Eoin Martino Grua, Ali El Hassouni and Mark Hoogendoorn | Reinforcement Learning for Personalization: A Systematic Literature Review | Summary of existing work | |
Can Kurtan, Pinar Yolum and Mehdi Dastani | An Ideal Team is More than a Team of Ideal Agents | Summary of existing work | |
Louis Gevers and Neil Yorke-Smith | Cooperation in Harsh Environments: The Effects of Noise in Iterated Prisoner’s Dilemma | Thesis abstract | |
Yating Zheng, Michael Allwright, Weixu Zhu, Majd Kassawat, Zhangang Han and Marco Dorigo | Hybrid Coordination for Swarm Construction | Long paper |
Agents & communication
Nov 20: 10:30 – 12:00
Room: Boerhaave
Session chair: Tibor Bosse
Max Peeperkorn, Oliver Bown and Rob Saunders | The Maintenance of Conceptual Spaces Through Social Interactions | Thesis abstract | |
Lesley van Hoek, Rob Saunders and Roy de Kleijn | Evolving Virtual Embodied Agents using External Artifact Evaluations | Long paper | |
Eric Jutten, Edward Bosma, Kiki Buijs, Romy Blankendaal and Tibor Bosse | Communication Training in Virtual Reality: A Training Application for the Dutch Railways | Demo paper |
Neural Networks
Nov 20: 10:30 – 12:00
Room: Casimir
Session chair: Arnoud Visser
Leonardo Concepción, Gonzalo Nápoles, Rafael Bello and Koen Vanhoof | On the State Space of Fuzzy Cognitive Maps Using Shrinking Functions | Summary of existing work | |
Edward De Brouwer, Jaak Simm, Adam Arany and Yves Moreau | GRU-ODE-Bayes: Continuous Modeling of Sporadically-observed Time Series | Summary of existing work | |
Andrei C. Apostol, Maarten C. Stol and Patrick D. Forré | FlipOut: Uncovering Redundant Weights via Sign Flipping | Long paper | |
Jan Lucas, Esam Ghaleb and Stylianos Asteriadis | Deep, Dimensional and Multimodal Emotion Recognition Using Attention Mechanisms | Short paper |
Logic/causality/statistics
Nov 20: 10:30 – 12:00
Room: Dijkstra
Session chair: Joost Vennekens
Nico Roos | A Semantic Tableau Method for Argument Construction | Long paper | |
Arnaud Pollaris and Gianluca Bontempi | Latent Causation: An Algorithm for Pairs of Correlated Latent Variables in Linear Non-Gaussian Structural Equation Modeling | Long paper | |
Rosanne J. Turner and Peter Grünwald | Safe Tests for 2 x 2 Contingency Tables and the Cochran-Mantel-Haenszel Test | Thesis abstract |