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

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Vahid Yazdanpanah, Devrim M. Yazan and W. Henk M. Zijm Transaction Cost Allocation in Industrial Symbiosis: A Multiagent Systems Approach Long paper
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Alex Mandersloot, Frans Oliehoek and Aleksander Czechowski Exploring the Effects of Conditioning Independent Q-Learners on the Sufficient Statistic for Dec-POMDPs Thesis abstract
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Grigory Neustroev and Mathijs M. de Weerdt Generalized Optimistic Q-Learning with Provable Efficiency Summary of existing work
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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

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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
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Tijs Rozenbroek Sequence-to-Sequence Speech Recognition for Air Traffic Control Communication Thesis abstract
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Elahe Bagheri, Oliver Roesler, Hoang-Long Cao and Bram Vanderborght Emotion Intensity and Gender Detection via Speech and Facial Expressions Short paper
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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

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Joep Burger and Quinten Meertens The Algorithm versus the Chimps: On the Minima of Classifier Performance Metrics Short paper
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Kevin Kloos, Quinten Meertens, Sander Scholtus and Julian Karch Comparing Correction Methods for Misclassification Bias Long paper
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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
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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

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Alexandre Dubray, Guillaume Derval, Siegfried Nijssen and Pierre Schaus Mining Constrained Regions of Interest: An Optimization Approach Summary of existing work
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Michiel Dhont, Elena Tsiporkova and Veselka Boeva Layered Integration Approach for Multi-view Analysis of Temporal Data Summary of existing work
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Stijn Hendrikx, Nico Vervliet, Martijn Boussé and Lieven De Lathauwer Tensor-based Pattern Recognition, Data Analysis and Learning Thesis abstract
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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

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Roxana Rădulescu, Patrick Mannion, Diederik M. Roijers and Ann Nowé Recent Advances in Multi-Objective Multi-Agent Decision Making Summary of existing work
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David Maoujoud and Gavin Rens Reputation-driven Decision-making in Networks of Stochastic Agents Long paper
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Simon Vandevelde and Joost Vennekens A Multifunctional, Interactive DMN Decision Modelling Tool Demo paper
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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

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Thomas Winters and Pieter Delobelle Dutch Humor Detection by Generating Negative Examples Short paper
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Yixia Wang and Giacomo Spigler Understanding Happiness by Using a Crowd-sourced Database with Natural Language Processing Thesis abstract
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Jelle Bosscher Capturing Implicit Biases with Positive Operators Thesis abstract
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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

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Dhasarathy Parthasarathy and Anton Johansson Does the Dataset Meet your Expectations? Explaining Sample Representation in Image Data Long paper
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Tonio Weidler, Mario Senden and Kurt Driessens Modeling Spatiosemantic Lateral Connectivity of Primary Visual Cortex in Convolutional Neural Networks Thesis abstract
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Callum Clark Applying Faster R-CNN and Mask R-CNN on the MinneApple Fruit Detection Challenge Thesis abstract
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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

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Rickard Karlsson, Laurens Bliek, Sicco Verwer and Mathijs de Weerdt Continuous Surrogate-based Optimization Algorithms are Well-suited for Expensive Discrete Problems Long paper
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Siegfried Ludwig, Joeri Hartjes, Bram Pol, Gabriela Rivas and Johan Kwisthout A Spiking Neuron Implementation of Genetic Algorithms for Optimization Long paper
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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
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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

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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
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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
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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
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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

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Thalea Schlender and Gerasimos Spanakis ‘Thy algorithm shalt not bear false witness’: An Evaluation of Multiclass Debiasing Methods on Word Embeddings Long paper
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Paulo Alting von Geusau and Peter Bloem Evaluating the Robustness of Question-Answering Models to Paraphrased Questions Long paper
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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
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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

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Alberto Franzin, Raphaël Gyory, Jean-Charles Nadé, Guillaume Aubert, Georges Klenkle and Hugues Bersini Philéas: Anomaly Detection for IoT Monitoring Long paper
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Jan H. van Staalduinen, Jaco Tetteroo, Daniela Gawehns and Mitra Baratchi An Intelligent Tree Planning Approach Using Location-based Social Networks Data Long paper
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Yaniv Oren, Rolf A.N. Starre and Frans A. Oliehoek Comparing Exploration Approaches in Deep Reinforcement Learning for Traffic Light Control Long paper
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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

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Carel Schwartzenberg, Tom van Engers and Yuan Li The Fidelity of Global Surrogates in Interpretable Machine Learning Long paper
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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
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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
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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

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Floris den Hengst, Eoin Martino Grua, Ali El Hassouni and Mark Hoogendoorn Reinforcement Learning for Personalization: A Systematic Literature Review Summary of existing work
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Can Kurtan, Pinar Yolum and Mehdi Dastani An Ideal Team is More than a Team of Ideal Agents Summary of existing work
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Louis Gevers and Neil Yorke-Smith Cooperation in Harsh Environments: The Effects of Noise in Iterated Prisoner’s Dilemma Thesis abstract
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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

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Max Peeperkorn, Oliver Bown and Rob Saunders The Maintenance of Conceptual Spaces Through Social Interactions Thesis abstract
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Lesley van Hoek, Rob Saunders and Roy de Kleijn Evolving Virtual Embodied Agents using External Artifact Evaluations Long paper
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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

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Leonardo Concepción, Gonzalo Nápoles, Rafael Bello and Koen Vanhoof On the State Space of Fuzzy Cognitive Maps Using Shrinking Functions Summary of existing work
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Edward De Brouwer, Jaak Simm, Adam Arany and Yves Moreau GRU-ODE-Bayes: Continuous Modeling of Sporadically-observed Time Series Summary of existing work
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Andrei C. Apostol, Maarten C. Stol and Patrick D. Forré FlipOut: Uncovering Redundant Weights via Sign Flipping Long paper
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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

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Nico Roos A Semantic Tableau Method for Argument Construction Long paper
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Arnaud Pollaris and Gianluca Bontempi Latent Causation: An Algorithm for Pairs of Correlated Latent Variables in Linear Non-Gaussian Structural Equation Modeling Long paper
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Rosanne J. Turner and Peter Grünwald Safe Tests for 2 x 2 Contingency Tables and the Cochran-Mantel-Haenszel Test Thesis abstract