Type A: Regular Papers

Original work that advances Artificial Intelligence and Machine Learning.

Author(s)	Title
Aki Härmä, Marcin Pietrasik, Anna Wilbik	Empirical Capacity Model for Self-Attention Neural Networks
Johan Kwisthout	Subjective and temporal quality-of-life information in Bayesian networks
Senne Deproost, Denis Steckelmacher, Ann Nowé	Human-readable programs as the actor of a Reinforcement Learning agent using critic-moderated evolution
Jippe Hoogeveen, Marjan van den Akker, Han Hoogeveen	Solving the Casting problem using Column Generation; better results with 100 variables instead of 1 billion
Marcin Pietrasik, Marek Reformat, Anna Wilbik	Non-Parametric Path Based Model for Taxonomy Induction in Knowledge Graphs
Nisse Degelin, Pieter Delobelle, Kristen Scott, Bettina Berendt	High stakes for LLMs: Analysis of Bias in BERT-based Recommender Systems
Alexander G. Padula, Dennis J.N.J. Soemers	Exploring RL-based LLM Training for Formal Language Tasks with Programmed Rewards
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri	Improving Stance Detection by Leveraging Measurement Knowledge from Social Sciences: A Case Study of Dutch Political Tweets and Traditional Gender Role Division
Maarten Al Sadawi, Ad Feelders	Monotone Oblique Decision Trees
Yehor Kozyr, Weam Aridi, Neil Yorke-Smith	An Efficient Decremental Algorithm for Simple Temporal Networks
Nitin Singh, Jasper Stolte, Stanislav Jaso, Bei Li, Reinier van de Pol, Christian Michler	Real-time Optimization of Industrial Processes using Deep Reinforcement Learning
Eduard von Bothmer, Matúš Mihalák, and Mark H. M. Winands	Monte-Carlo Search for Scheduling an Automated Guided Vehicle in a Blocking Job-Shop
Bram Swaanen, and Tomas Klos	What To Do Next? A Comparative Study of Human and Rational Decision-Making
Oliver Urs Lenz, and Matthijs van Leeuwen	Directional anomaly detection
Jonathan Croenen, Jens Bürger, Wannes Meert	Reinforcement Learning of Action Sequences in Table Football
Catalin Brita, Stephan Bongers, Frans A. Oliehoek	SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation
Dumitru Versebeniuc, Martijn Elands, Sara Falahatkar, Chiara Magrone, Mohammad Falah, Martijn Bousse and Aki Harma	Generative AI-based Virtual Assistant using Retrieval-Augmented Generation: An evaluation study for bachelor projects
Rianne M. Schouten, Gonneke W.J.M. Stevens, Saskia A.F.M. van Dorsselaer, Elisa L. Duinhof, Karin Monshouwer, Mykola Pecheniziky and Wouter Duivesteijn	Analyzing the interplay between societal trends and socio-demographic variables with local pattern mining: Discovering exceptional trends in adolescent alcohol use in the Netherlands
Hugo Santos, Catarina Ramos, Marta Faias, Nuno C. Marques	Optimizing the Magic Formula in Europe: Factors Driving Return, Risk and Risk-Adjusted Return
Frank Klingert	Feature engineering for classification: A bibliometric literature review
Yaren Aslan, Stephan Bongers, Frans Oliehoek	Mitigating double-dipping in behavior-agnostic RL
Cascha van Wanrooij, Omendra Manhar, Jie Yang	Topic Modeling for Small Data using Generative LLMs
Colette Wibaut, Marie Beth van Egmond, Vincent Dunning	Challenges in Algorithmic Fairness when using Multi-Party Computation Models
Tibé Iritie, Daphne Lenders	From Laws to Algorithms: Detecting Unfairness in Machine Learning Models
Jerry Schonenberg, Kapil Mathur, Carlos Ros Perez, Detle Hohl, Aske Plaat, Thomas Moerland, and Christian Michler	Benchmarking Deep Reinforcement Learning for Battery Dispatch Optimisation
Denis Steckelmacher, Ann Nowé	Trustworthy and Explainable Offline Reinforcement Learning by Inferring a Discrete-State Discrete-Action MDP from a Continous-State Continuous-Action dataset
Mehran Moazeni, Sebastian Mildiner Moraga, Maaike Wösten, Linda W. van Laake, Folkert W. Asselbergs, Emmeke Aarts	Real-time prediction of Atrial Fibrillation using Meta-learning
Stig Hellemans, Andres Algaba, Vincent Ginis	Flexible Counterfactual Explanations with Generative Models
Natasha T.J. van den Berg, Bram O. Broekgaarden, Dionysia P.A. Mahieu, Jolijn G.M.J. Martens, Jonas M.Niederle, Rianne Schouten and Wouter Duivesteijn	Generating MNAR Missingness in Image Data, with Additional Evaluation of MisGAN
Brieuc Pinon, Jean-Charles Delvenne, and Raphaël Jungers	Counterexamples to RL approaches blending search and learning for problem-solving
Vincenzo Lipardi, Xenofon Chiotopoulos, Jacco A. de Vries, Domenica Dibenedetto, Kurt Driessens, Marcel Merk, Mark H.M. Winands	Variational Quantum Algorithms for Particle Track Reconstruction
Joanna Budzik	The Smoking Gun: Unveiling GPT-4’s memorisation of Polish Texts and Implications for Copyright Infringement
Qixiang Fang, Daniel Oberski, Dong Nguyen	PATCH! Psychometrics-AssisTed benChmarking of Large Language Models: A Case Study of Proficiency in 8th Grade Mathematics
Niek van de Pas, Ayoub Bagheri, Willy Sier	Contextualizing Personality: Insights from Anthropology to Advance Personality Detection
Benoît Loucheur, P.-A. Absil, Michel Journée	Weather Data Imputation Using Graph-Based Low-Rank Matrix Completion with Variable Projection
Markel Zubia, Thiago Simão, Nils Jansen	Robustifying RL Agents for Safe Transfer through Action Disturbances
Francesca Marogna, Martijn van Leeuwen, Fabian Hoitsma, Gorkem Saygili, Sharon Ong	Generating Artificial PET Scans from Low Dose CT Scans with an Adapted Dual Diffusion Implicit Bridges (DDIBs) Model
Pierre Gabriel Bibal Sobeaux	Improving Perception Metrics in Image Denoising by Using a Diffusion-Like Process atop a UNet Model
Mana Douma, Emma Beauxis-Aussalet	Modelling Heteroscedasticity for Fair Regression using Polynomial Models
Işıl Baysal Erez, Jan Flokstra, Mannes Poel, Maurice van Keulen	The Impact of Missing Data Imputation on Model Performance and Explainability
Reda El Hail, Peter Karsmakers, Pouya Mehrjouseresht, Oluwatosin John Babarinde, Dominique Schreurs	Radar Based Human Activity Recognition: From Classification to Detection
Gellert Toth, Johan Kwisthout	Reducing required randomness for parallel Gibbs sampling
Veerle E. van den Hurk, Egon L. van den Broek, Marjan van den Akker, Erwin Abbink	Template and constraint-based models for the optimization of schedules, applied to Netherlands Railways (NS)’ crew planning
Hadi Mohammadi, Mahdieh Rahmati, Tina Shahedi	Novel Approaches in Financial Fraud Detection: Hybrid Machine Learning and Uncertainty-Based Deep Learning
Andrej Hulák, Vincenzo Lipardi, Domenica Dibenedetto, Kurt Driessens	Quantum Error Mitigation with Deep Learning and Sequence Models

Type B: Encores

Already published work in any AI/ML conference or journal.

Author(s)	Title
Wijnand van Woerkom, Davide Grossi, Henry Prakken, Bart Verheij	A Fortiori Case-Based Reasoning: From Theory to Data
Pei-Yu Chen, Selene Baez Santamaria, Maaike H.T. de Boer, Floris de Hengst, Bart A. Kamphorst, Quirine Smit, Shihan Wang, and Johanna Wolf	Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning (Extended Abstract)
Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder	Revising Beliefs and Intentions in Stochastic Environments
Dennis J.N.J. Soemers, Vegard Mella, Éric Piette, Matthew Stephenson, Cameron Browne, Olivier Teytaud	Towards a General Transfer Approach for Policy-Value Networks
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis	Polar Encoding: A Simple Baseline Approach for Classification with Missing Values
Yingfu Xu, Kevin Shidqi, Gert-Jan van Schaik, Refik Bilgic, Alexandra Dobrita, Shenqi Wang, Roy Meijer, Prithvish Nembhani, Cina Arjmand, Pietro Martinello, Anteneh Gebregiorgis, Said Hamdioui, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Kanishkan Vadivel, Manolis Sifalakis, Guangzhi Tang and Amirreza Yousefzadeh	Optimizing Event-Based Neural Networks on Digital Neuromorphic Architecture: A Comprehensive Design Space Exploration
Grigorii Veviurko, Wendelin Böhmer, Mathijs de Weerdt	To the Max: Reinventing Reward in Reinforcement Learning
Issa Hanou, Devin Wild Thomas, Wheeler Ruml, Mathijs de Weerdt	Replanning in Advance for Instant Delay Recovery in Multi-Agent Applications: Rerouting Trains in a Railway Hub
Kim van den Houten, David Tax, Esteban Freydell, Mathijs de Weerdt	Learning from Scenarios for Repairable Stochastic Scheduling
Modhurita Mitra, Martine de Vos, Nicola Cortinovis, Dawa Ometto	Generative AI for Research Data Processing: Lessons Learnt from Three Use Cases
Tom McDonald, Calvin Tsay, Artur M. Schweidtmann, Neil Yorke-Smith	Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design (Article Abstract)
Lucas Van Laer, Simon Vandevelde, and Joost Vennekens	Efficiently grounding FOL using bit vectors
Leonardo Concepción, Marilyn Bello, Gonzalo Nápoles, Rafael Bello, Pablo Mesejo, Óscar Cordón	REPROT: Explaining the Predictions of Complex Deep Learning Architectures for Object Detection Through Reducts of an Image
Shuai Han, Mehdi Dastani, Shihan Wang	Learning Reward Structure with Subtasks in Reinforcement Learning
Felipe Kenji Nakano, Karolijn Dulfer, Ilse Vanhorebeek, Pieter J. Wouters, Sascha Verbruggen, Koen Joosten, Fabian Grandas, Celine Vens, and Greet Van den Berghe	Predicting adverse long-term neurocognitive outcomes after pediatric intensive care unit hospitalization
Isel Grau, Gonzalo Nápoles	Sparseness-Optimized Feature Importance
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowe, Pieter Libin	Exploring the Pareto Front of Multi-Objective COVID-19 Mitigation Policies Using Reinforcement Learning
Noah Schutte, Krzysztof Postek, Neil Yorke-Smith	Robust Losses for Decision-Focused Learning
Thales Bertaglia, Lily Heising, Rishabh Kaushal, Adriana Iamnitchi	InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with chatGPT for Sponsored Content Detection
Jacobus G.M. van der Linden, Mathijs de Weerdt, Emir Demirović	Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming
Max van Duijn, Bram van Dijk, Tom Kouwenhoven, Werner de Valk, Marco Spruit, Peter van der Putten	Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
Andrea Cavallo, Mohammad Sabbagh, Elvin Isufi	Spatiotemporal Covariance Neural Networks
Tom Pepels, Mark Winands	Ancestor-Based α-β Bounds for Monte-Carlo Tree Search
Ruben Cartuyvels, Wolf Nuyts, Marie-Francine Moens	Explicitly Representing Syntax Improves Sentence-to-Layout Prediction of Unexpected Situations
Christian Alrabbaa, Stefan Borgwardt, Tom Friese, Anke Hirsch, Nina Knieriemen, Patrick Koopmann, Alisa Kovtunova, Antonio Krüger, Alexej Popovič, Ida Siahaan	Explaining Reasoning Results for OWL Ontologies with Evee
Konstantin Sidorov, Gonçalo Correia, Mathijs De Weerdt, Emir Demirović	Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths
Mohammed Al Owayyed, Myrthe Tielman, Arno Hartholt, Marcus Specht, Willem-Paul Brinkman	An Encore Abstract: Agent-based Social Skills Training Systems: The ARTES Architecture
Roel Brouwer, Marjan van den Akker, Han Hoogeveen	A Hybrid Local Search Algorithm for the Continuous Energy-Constrained Scheduling Problem
Delaram Javdani Rikhtehgar, Ilaria Tiddi, Shenghui Wang, Stefan Schlobach, Dirk Heylen	Assessing the HI-ness of Virtual Heritage Applications with Knowledge Engineering
Jieying Chen, Hang Dong, Jiaoyan Chen, Ian Horrocks	Ontology Text Alignment: Aligning Textual Content to Terminological Axioms (Abstract)
Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Brian Logan	Maximally Permissive Reward Machines
Jeongwoo Park, Enrico Liscio, Pradeep Murukannaiah	Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning
Pedro Ilídio, Ricardo Cerri, Celine Vens, Felipe Kenji Nakano	Deep forests with tree-embeddings and label imputation for weak-label learning
Aniek Eijpe, Valentina Corbetta, Kalina Chupetlovska, Regina Beets-Tan, Wilson Silva	Enhancing Cross-Modal Medical Image Segmentation through Compositionality
Giovanni Varricchione, Natasha Alechina, Giuseppe De Giacomo, Mehdi Dastani, Brian Logan, Giuseppe Perelli	Pure-Past Action Masking
Floris den Hengst, Martijn Otten, Paul Elbers, Frank van Harmelen, Vincent François-Lavet, Mark Hoogendoorn	Guideline-informed reinforcement learning for mechanical ventilation in critical care (Extended Abstract)
Zhivar Sourati, Filip Ilievski, Pia Sommerauer, Yifan Jiang	ARN: Analogical Reasoning on Narratives
Berfu Karaca, Albert Ali Salah, Jaap Denissen, Ronald Poppe, Sonja de Zwarte	Survey of Automated Methods for Nonverbal Behavior Analysis in Parent-Child Interactions
Stijn Rotman, Boris Cule, Len Feremans	Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series
Francesco Barile, Federico Cau, Nava Tintarev	A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems
Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, Anne Roefs	Enhanced Boosting-Based Transfer Learning for Modeling Ecological Momentary Assessment Data
Erik van Haeringen, Charlotte Gerritsen	Emotion Contagion in Avatar-Mediated Group Interactions
Erik van Haeringen, Emmeke Veltmeijer, Charlotte Gerritsen	Empirical Validation of an Agent-Based Model of Emotion Contagion
Florent Delgrange, Raphael Avalos, Ann Nowe, Guillermo Perez, Diederik M. Roijers	The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models Extended Abstract
Benoît Alcaraz, Aleks Knoks, David Streit	Estimating Weights of Reasons Using Metaheuristics: A Hybrid Approach to Machine Ethics

Type C: Demonstrations

Demonstrations of AI/ML applications.

Author(s)	Title
Benjamin Callewaert, Joost Vennekens	ChatIDP: An Interactive Chatbot for IDP Knowledge Bases
Clinton Cao, Simon Schneider, Nicolás Diaz-Ferreyra, Annibale Panichella, Sicco Verwer, Riccardo Scandariato	CATMA: Conformance Analysis Tool for Microservice Applications
Ruud Hortensius, Giulia D’Angelo, Ayoub Bagheri, Dong Nguyen, Rianne Dekker, Lisandra Costiner and Karin Jongsma	AI Helpdesk – a platform for reliable answers to questions from the general public about AI

Type D: Theses

Bachelor and Master theses.

Author(s)	Title
Ward Gauderis, Geraint Wiggins	Quantum Theory in Knowledge Representation: A Novel Approach to Reasoning with a Quantum Model of Concepts
Catalin-Viorel Dinu	Reinforcement learning for Quantum Tiq-Taq-Toe
Adem Kaya	Caption-Augmented Multimodal Classification of Hateful Memes
Ilyas Lemmens	Evaluation of Anomaly Detection Methods in Time Series Using Instance Space Analysis
Daimy Van Caudenberg, Bart Bogaerts, Leandro Vendramin, Samuele Pollaci	SAT-Based Enumeration Of Solutions To The Yang-Baxter Equation
Max Verbinnen, Sander Verwimp	Empirical Hardness Analysis of MaxSAT
Lieke van den Biggelaar	Characterizing Atrial Fibrillation During and After Cardiac Surgery: An Exceptional Model Mining Approach on ECG Morphology Abnormalities
Fabio De Ponte	Grounding Words in Visual Perceptions: Experiments in Spoken Language Acquisition
Amaury Guichard, Quentin Cappart	Learning Crossover Operators in Genetic Algorithms: Application to the Capacitated Vehicle Routing Problem
Jamie Wright	Examining Iconicity Information in Semantic and Phonetic Word Embeddings
Amitai Kamp	An Adaptive Spelling AI System for Personalized Dutch Spelling Education
Leah van Oorschot, Dimitris Michailidis, Shayla Jansen, Niek Ijzerman, Diederik Roijers	Where (Not) to Cross the Street
Rienk Fidder	Classification and Segmentation of Photovoltaic and Solar Thermal Systems from Aerial Imagery
Martijn de Bruin	Integration of Large Language Models in the Public Sector
Maximilian Rau	Evaluating the Effectiveness, Generalizability, and Explainability of Video Swin Transformers on Automated Pain Detection
Manuel Quesada, Leonardo Concepción, Koen Vanhoof	Backpropagation in Fuzzy Cognitive Map Model Applied on Classification Problems
Sylvia Kerkhove	A Transition System for Causality and Strategic Responsibility
Aristophanes Albertus Alvin	Automated Assessment of Symptoms of Anxiety in Children from Parent-Child Interaction Videos
Juri Morisse, Ioannis Koutalios, Rico Landman, Thomas Moerland	Reinforcement Learning for Sensorless Astronomical Imaging
Marta Freixo Lopes, Roy L.M. Wang, Stijn Verdenius	Bridging the Reality Gap with PICRL
Tobias Deinböck, Chu-Hsuan Hsueh, Kokolo Ikeda	Procedurally Generating Natural-Looking Villages in Minecraft with Ant Colony Optimization Algorithms
Jonathan Salzer, Arnoud Visser	Bringing the RT-1-X Foundation Model to a SCARA robot
Dominique Weltevreden	Using active learning to design the optimal lab experiments needed to improve antibody-antigen binding prediction
Federico Newton, Luis A. Leiva	Similarity Measures for Music Retrieval
Athanasios Athanasopoulos	Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines
Puck Kuijpers	Creating and Evaluating Animal Camouflage Patterns with Generative Adversarial Networks
Amirhossein Jazayeri, Mandani Ntekouli, Gerasimos Spanakis	Clustering and Co-Clustering of Multivariate Time-Series Based on Complex Networks
Wietze Koops	A* Algorithms for Dec-POMDPs

Type E: Poster Abstracts

Late Breaking Poster abstracts.

Author(s)	Title
Stijn Verdenius, Andrea Zerio and Roy L.M. Wang	Learning Cold-start Time Series and Product-Image Joint Embeddings
Haoyuan Li, Mathias Funk, Nezihe Merve Gürel and Aaqib Saeed	Collaboratively Learning Federated Models from Noisy Decentralized Data
Casper Verhoeve, Marcos L. P. Bueno and Casper Reijnen	Explaining Bayesian networks: a use case in endometrial cancer
Francisco N. F. Q. Simoes, Mehdi Dastani and Thijs van Ommen	Causal Entropy and Information Gain for Measuring Causal Control
Taewoon Kim, Vincent François-Lavet and Michael Cochez	HumemAI: A Machine With Human-Like Memory Systems
Roos Bakker	Natural Language Processing for Knowledge Graph Extraction and Evaluation
Abdo Abouelrous, Laurens Bliek, Adriana Gabor, Yaoxin Wu and Yingqian Zhang	Reinforcement Learning for Pricing Problem Optimization in Column Generation
Dea Gogishvili, Emmanuel Minois-Genin, Jan van Eck and Sanne Abeln	PatchProt: Hydrophobic patch prediction using protein foundation models
Juan Diego Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich and Matthia Sabatelli	Upside-Down Reinforcement Learning for More Interpretable Optimal Control
Issa Hanou, Sebastijan Dumancic and Mathijs de Weerdt	Discovering Generalized Landmarks: Capturing Abstract Relations in Real-World Planning
Calarina Muslimani, Bram Grooten, Deepak Mamillapalli, Mykola Pechenizkiy, Decebal Mocanu and Matthew Taylor	Dynamic Sparsity for Robust Preference-Based Reinforcement Learning
Karol Wapniarski and Paweł Łupkowski	Rational or emotional? Alan Turing’s “Heads in the Sand” Objection and the discussion of Autonomous Vehicles
Daniël Vos and Sicco Verwer	Optimizing Interpretable Decision Tree Policies for Reinforcement Learning
Benjamin Cornejo Costas, Shiva Nadi Najafabadi, Raoul Schram and Maarten Schermer	Alternative methods to measure breakthrough innovations: the case of historical patents
Kai He, Erwin Bakker and Michael Lew	Attention-guided Feature Pyramid Network for few-shot learning
Ruben Cartuyvels, John Koslovsky and Marie-Francine Moens	Unsupervised Induction of Harmonic Syntax
Lara Thorissen, Alexandra Matz, Andreas Valentin and Martin Hofmann	Application of Creativity and Collaboration Software for an AI-Supported Analysis of User Research Insights
Caroline Magg, Hoel Kervadec and Clara I.Sánchez	Zero-shot capability of 2D SAM-family models for bone segmentation in CT scans
Jesse van Remmerden, Zaharah Bukhsh and Yingqian Zhang	Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
Dominique Weltevreden, Jalmar Teeuw and Hilleke Hulshoff Poll	Using neural networks in polygenic risk score calculation
Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh and Guangzhi Tang	Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing
Renske de Wit, Carlos Manuel Garcia Fernandez, Soufyan Lakbir, Remond Fijneman and Sanne Abeln	Learning associations between gene defects and structural variant signatures in colorectal cancer
Kristina Gogoladze, Natasha Alechina, Zhaoyang Jacopo Hu, Haozheng Xu, Romy van Jaarsveld and Jelle P. Ruurda	Monitoring robot-assisted surgery using kinematics
Pu Wang and Hugo Van Hamme	Primal-OWSM: Speech Foundation Model with Parameter-efficient Primal Attention for Low-resource Dutch Speech Recognition
Agus Hartoyo, Dominika Ciupek, Maciej Malawski and Alessandro Crimi	Data reconstruction from machine learning models via inverse estimation and Bayesian inference
Murad Bozik, Suzan Verberne and Joost Broekens	VALL-E Revisited: A Replication Study Exploring Efficient Text-to-Speech Model Training with Limited Resources
Emmanuel C. Chukwu, Rianne M. Schouten, Monique Tabak and Mykola Pechenizkiy	Counterfactual Explanations with Domain Knowledge in Multivariate Time Series
Massimiliano Falzari and Matthia Sabatelli	Fisher-Guided Selective Forgetting (FGSF) For Deep Reinforcement Learning
Yasmine Akaichi and Jean-Marie Jacquet	Inductive Logic Programming for Complications Prediction from Medical Data
Chusi Xie, Muriel Hagenaars, Gerko Vink and Paul Boelen	Predicting Prolonged Grief Disorder Severity: A Machine Learning Approach to Prediction and Interpretation Using the MARBLES Archive
Tina Mioch, Huib Aldewereld, Luciano Cavalcante Siebert, Stefan Leijnen and Mark A. Neerincx	Values for Responsible AI-Based Decision-Aid for Fire Services
Marijn Schraagen and Hans Marien	Predicting and classifying stress-related human sensor data
Nikolaj Tollenaar	Multilabel text classification of police registrations for cyber- and digitized crime: a comparison of classical machine learning with deep learning
Jan van Eck and Sanne Abeln	Isolating a hand-crafted explanation for improved interpretability of biological foundation models
Abdallah Al-Janabi	Merging Expert Knowledge and Machine-Learning to Provide Personalised Just-In-Time Advice in an Osteo-Arthritis Self-Management Application
Marco Favier and Toon Calders	When Fairness Optimization Goes Wrong
Chaohui Guo and Michel Klein	Improving Long-Term Conversational Memory in LLMs with a Graph-Based Approach
Mohamad Hoteit, Richard van Dijk, Matthijs van Leeuwen and Tessa Verhoef	Decoding 3D Upper Limb Motion Using EEG and Motion Capture Integration: A Deep Learning Approach
Ceciel Pauls, Michel Klein, Judith Bosmans and Stef Bouwhuis	Objective or subjective employment precariousness? Comparing definitions to a topic model based on user-generated data
Twan Lieuw A Soe, Sietske Tacoma, Steven Haveman, Devran Alper and Stephan Nell	Streamlining Tender Submissions: An AI Approach
Onuralp Ulusoy, Aysu Ismayilova and Johan Jeuring	mAIchart: A Learning Analytics Tool for Primary School Educators
Gaby van Iersel, Jalmar Teeuw, Inge van Ooijen, Mireille Bekker, Manon Benders, Ruud van Sloun, Hilleke Hulshoff Pol and Sonja de Zwarte	Improving 3D US Fetal Brain Segmentation via Cross-Modality Label Transfer from MRI to US
Ceyhun Çelebi, Şehrigül Toksoy, Esra Süzen, Fatma Yardibi, Ebru Apaydın Doğan, Serdar Gündoğdu, Ömer Halil Çolak and Övünç Polat	Determination of Distinctive HRV Features of E-Sports Players Playing Exergames
Pu Wang and Hugo Van Hamme	Disentangle-Transformer: An Explainable End-to-End Automatic Speech Recognition Model with Speech Content-Context Separation Learning Based on Varying Temporal Resolutions
Florent Delgrange, Guy Avni, Anna Lukina, Christian Schilling, Ann Nowe and Guillermo Perez	Controller Synthesis from Deep Reinforcement Learning Policies
Lennert De Smet, Gabriele Venturato, Giuseppe Marra and Luc De Raedt	Neurosymbolic Reinforcement Learning With Sequential Guarantees
Florian Dammes van Leeuwen, Shubhayu Bhattacharyay, Alex Carriero, Ethan Jacob Moyer and Richard Moberg	Predicting ICP in patients with TBI: evaluation of a foundation model for time series
Jeroen Spaans and Jesse Heyninck	A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation
Marybeth Defrance, Maarten Buyl, Guillaume Bied, Jefrey Lijffijt and Tijl De Bie	BiMi sheets for bias mitigation methods
Jimmy Mulder and Roelant Ossewaarde	Model Validation by Increasing Entropy in Datasets
Michaël Grauwde, Mark Neerincx and Olya Kudina	Conversational Agents for Value Reflection

BNAIC/BeNeLearn 2024

Pre-proceedings

Type A: Regular Papers

Type B: Encores

Type C: Demonstrations

Type D: Theses

Type E: Poster Abstracts