ESANN 2024 programme

Wednesday, 09.10.2024

09:00 Welcome introduction

09:10 Informed Machine Learning for Complex Data
Organized by: Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita

09:10 Informed Machine Learning for Complex Data

Luca Oneto, University of Genoa (Italy)
Nicolò Navarin, University of Padua (Italy)
Alessio Micheli, Università di Pisa (Italy)
Luca Pasa, University of Padova (Italy)
Claudio Gallicchio, University of Pisa (Italy)
Davide Bacciu, Università di Pisa (Italy)
Davide Anguita, DIBRIS - University of Genova (Italy)

09:30 Informed Machine Learning: Excess Risk and Generalization

Luca Oneto, University of Genoa (Italy)
Davide Anguita, DIBRIS - University of Genova (Italy)
Sandro Ridella, University of Genoa (Italy)

09:50 Enhancing Echo State Networks with Gradient-based Explainability Methods

Francesco Spinnato, University of Pisa (Italy)
Andrea Cossu, University of Pisa (Italy)
Riccardo Guidotti, University of Pisa (Italia)
Andrea Ceni, University of Pisa (Italy)
Claudio Gallicchio, University of Pisa (Italy)
Davide Bacciu, University of Pisa (Italy)

10:10 Generalizing Convolution to Point Clouds

Davide Bacciu, University of Pisa (Italy)
Francesco Landolfi, Università di Pisa (Italy)

10:30 Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets

Nicolò Navarin, University of Padua (Italy)
Luca Pasa, University of Padova (Italy)
Alessandro Sperduti, University of Padua (Italy)

10:50 Informed Machine Learning for Complex Data - poster spotlights
Organized by: Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita

10:50 Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification

Domenico Tortorella, University of Pisa (Italy)
Alessio Micheli, Università di Pisa (Italy)

10:51 XAI and Bias of Deep Graph Networks

Michele Fontanesi, University of Pisa (Italy)
Alessio Micheli, Università di Pisa (Italy)
Marco Podda, Università di Pisa (Italy)

10:52 Coffee break

11:10 Machine learning in distributed, federated and non-stationery environments
Organized by: Mirko Polato, Barbara Hammer, Frank-Michael Schleif

11:10 Machine learning in distributed, federated and non-stationary environments - recent trends

Mirko Polato, University of Torino (Italy)
Barbara Hammer, CITEC - Bielefeld University (Germany)
Frank-Michael Schleif, Technical University of Applied Sciences Würzburg-Schweinfurt (Germany)

11:30 Sparse Uncertainty-Informed Sampling from Federated Streaming Data

Manuel Röder, Technical University of Applied Sciences Würzburg-Schweinfurt (Germany)
Frank-Michael Schleif, Technical University of Applied Sciences Würzburg-Schweinfurt (Germany)

11:50 On the Fine Structure of Drifting Features

Fabian Hinder, Bielefeld University (Germany)
Valerie Vaquet, CITEC, Bielefeld University (Germany)
Barbara Hammer, Cognitive Interaction Technology (CITEC), Bielefeld University (Germany)

12:10 FedHP: Federated Learning with Hyperspherical Prototypical Regularization

Samuele Fonio, Università degli studi di Torino (Italy)
Mirko Polato, University of Torino (Italy)
Roberto Esposito, Università degli studi di Torino (Italy)

12:30 Machine learning in distributed, federated and non-stationery environments - poster spotlights
Organized by: Mirko Polato, Barbara Hammer, Frank-Michael Schleif

12:30 Few-shot similarity learning for motion classification via electromyography

Rui Liu, Bielefeld University (Germany)
Benjamin Paassen, Bielefeld University (Germany)

12:31 About Vector Quantization and its Privacy in Federated Learning

Ronny Schubert, UAS Mittweida - SICIM (Deutschland)
Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)

12:32 Federated Time Series Classification with ROCKET features

Bruno Casella, University of Turin (Italy)
Matthias Jakobs, Lamarr Institute for Machine Learning and Artificial Intelligence TU Dortmund University, Dortmund, Germany (Germany)
Marco Aldinucci, University of Turin (Italy)
Sebastian Buschjäger, Lamarr Institute for Machine Learning and Artificial Intelligence TU Dortmund University, Dortmund, Germany (Germany)

12:33Federated Learning in a Semi-Supervised Environment for Earth Observation Data

Bruno Casella, University of Turin (Italy)
Alessio Barbaro Chisari, University of Catania (Italy)
Marco Aldinucci, University of Turin (Italy)
Sebastiano Battiato, University of Catania (Italy)
Mario Valerio Giuffrida, University of Nottingham (United Kingdom)

12:34 Lunch

14:00 Continual Improvement of Deep Neural Networks in The Age of Big Data
Organized by: Alexander Gepperth, Timothée Lesort

14:00 Continual Learning of Deep Neural Networks in The Age of Big Data

Alexander Gepperth, University of Applied Sciences Fulda (Germany)
Timothée Lesort, Aignostics GmbH (Germany)

14:20 Sequential Continual Pre-Training for Neural Machine Translation

Niko Dalla Noce, University of Pisa (Italia)
Michele Resta, University of Pisa (Italy)
Davide Bacciu, University of Pisa (Italy)

14:40 Continual Improvement of Deep Neural Networks in The Age of Big Data - poster spotlights
Organized by: Alexander Gepperth, Timothée Lesort

14:40 Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites

ASLI CELIK, Kocaeli University (TURKEY)
OGUZHAN URHAN, Kocaeli University (TURKEY)
Andrea Cossu, University of Pisa (Italy)
Vincenzo Lomonaco, University of Pisa (Italy)

14:41 Optimization

14:41 Joint Entropy Search for Multi-objective Bayesian Optimization with Constraints and Multiple Fidelities

Daniel Fernández-Sánchez, Autonomous University of Madrid (Spain)
Daniel Hernández-Lobato, Unviersidad Autónoma de Madrid (Spain)

15:01 Convergence analysis of an inexact gradient method on smooth convex functions

Pierre Vernimmen, UCLouvain (Belgique)
François Glineur, UCLouvain (Belgique)

15:21 Optimization - poster spotlights

15:21 ADLER - An efficient Hessian-based strategy for adaptive learning rate

Dario Balboni, University of Pisa (Italy)
Davide Bacciu, University of Pisa (Italy)

15:22 Classification and regression

15:22 Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms

Ondřej Podsztavek, Czech Technical University in Prague (Czech Republic)
Alexander I. Jordan, Heidelberg Institute for Theoretical Studies (Germany)
Pavel Tvrdík, Czech Technical University in Prague (Czech Republic)
Kai L. Polsterer, HITS gGmbH (Germany)

15:42 Feature Learning using Multi-view Kernel Partial Least Squares

Xinjie Zeng, ESAT-STADIUS, KU Leuven (Belgium)
Qinghua Tao, KU Leuven (Belgium)
Johan Suykens, KU Leuven (Belgium)

16:02 Stable Diffusion Dataset Generation for Downstream Classification Tasks

Eugenio Lomurno, Politecnico di Milano (Italy)
Matteo D'Oria, Politecnico di Milano (Italy)
Matteo Matteucci, Politecnico di Milano (Italy)

16:22 Classification and regression - poster spotlights

16:22 Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes

Simon Lejoly, UNamur (Belgique)
Arianna Piccialli, BIRA-IASB
Arnaud Mahieux, BIRA-IASB (Belgium)
Ann Carine Vandaele, BIRA-IASB
Benoit Frénay, Université de Namur (Belgium)

16:23 Antagonism between Classification and Reconstruction Processes in Deep Predictive Coding Networks

Jan Rathjens, Ruhr University Bochum (Germany)
Laurenz Wiskott, Institute for Neural Computation, Ruhr University Bochum (Germany)

16:24 Constraints as Alternative Learning Objective in Deep Learning

Quinten Van Baelen, KU Leuven (Belgium)
Peter Karsmakers, KU Leuven Campus Geel (Belgium)

16:25 CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search

Antoine Gratia, University of Namur (Belgique)
Hong Liu, National Institute of Informatics
Shin'ichi Satoh, National Institute of Informatics
Paul Temple, Univ Rennes, CNRS, Inria, IRISA (france)
Pierre-Yves Schobbens, University of Namur (B)
Gilles Perrouin, University of Namur - NaDI - Faculty of Computer Science - PReCISE (Belgium)

16:26 Adversarial Training without Hard Labels

Ammar Al-Najjar, University of Szeged (Hungary)
István Megyeri, University of Szeged (Hungary)
Mark Jelasity, University of Szeged (Hungary)

16:27 Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings

Antonio Padua Braga, Universidade Federal de Minas Gerais (Brasil)
Murilo Menezes, Federal University of Minas Gerais (Brazil)
Luiz Torres, Universidade Federal de Ouro Preto (Brazil)

16:28 Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty

Johannes Brinkrolf, CITEC - Cognitive Interaction Technology Bielefeld University (Germany)
Valerie Vaquet, CITEC, Bielefeld University (Germany)
Fabian Hinder, Bielefeld University (Germany)
Barbara Hammer, CITEC - Bielefeld University (Germany)

16:29 ''Mental Images'' driven classification

Gianluca Coda, CNR
Massimo De Gregorio, CNR (Italy)
Antonio Sorgente, CNR (Italy)
Paolo Vanacore, CNR

16:30 Transfer learning to minimize the predictive risk in clinical research

Samuel Branders, Cognivia (Belgium)
Jérôme Paul, Cognivia (Belgium)
Arthur Ooghe, Cognivia (Belgium)
Alvaro Pereira, Cognivia (Belgium)

16:31 Leveraging performance-based metadata for designing multi-objective NAS strategies for efficient models in Earth Observation

Emre Demir, German Aerospace Center (DLR) & Technical University of Munich (TUM) (Germany)
René Traoré, German Aerospace Center (DLR) (Germany)
Andrés Camero, German Aerospace Center (DLR) (Germany)

16:32 AI-based algorithm for intrusion detection on a real dataset

David Esteban Martínez, Universidade da Coruña (UDC) (España)
Bertha Guijarro-Berdiñas, Universidade da Coruña (Spain)
Amparo Alonso Betanzos
Elena Hernández-Pereira, Universidade da Coruña (Spain)
Alejandro Esteban Martínez

16:33 Similarity-Based Zero-Shot Domain Adaptation for Wearables

Markus Vieth, Bielefeld University (Germany)
Nils Grimmelsmann, Hochschule Bielefeld - University of Applied Sciences and Arts (Germany)
Axel Schneider, Hochschule Bielefeld - University of Applied Sciences and Arts (Germany)
Barbara Hammer, CITEC - Bielefeld University (Germany)

16:34 Robustness and Regularization in Hierarchical Re-Basin

Benedikt Franke, German Aerospace Center (DLR) (Germany)
Florian Heinrich, German Aerospace Center (DLR) (Germany)
Markus Lange, German Aerospace Center (DLR)
Arne Raulf, German Aerospace Center (DLR) (Germany)

16:35 Lightweight Cross-Modal Representation Learning

Bilal FAYE, LIPN UMR CNRS 7030, Sorbonne Paris Nord University (USPN) (France)
Hanane Azzag, LIPN UMR CNRS 7030, Sorbonne Paris Nord University (USPN) (France)
Mustapha Lebbah, Université Paris-Saclay - UVSQ Versailles Campus (France)
Djamel BOUCHAFFRA, Center for Development of Advanced Technologies (Algeria)

16:36 Human Activity Recognition from Thigh and Wrist Accelerometry

Alejandro Castellanos Alonso, Electrical Engineering Department, University of Oviedo (Spain)
Antonio López, University Of Oviedo (Spain)
Diego Garcia-Perez, University of Oviedo (SPAIN)
Diego Álvarez, University of Oviedo (Spain)
Juan Carlos Alvarez, University of Oviedo (Spain)

16:37 On Fβ-score and Cost-Consistency in Evaluation of Imbalanced Classification

Aleksi Avela, Aalto University, School of Science Department of Mathematics and Systems Analysis (Finland)

16:38 Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text

Nawal Alqurashi, Cardiff university (United Kingdom)
Yuhua Li, cardiff university (UK)
Kirill Sidorov
David marshall

16:39 Poster exhibition and coffee break

18:15 Walking tour of Bruges with guides

Thursday, 10.10.2024

09:00 Trust in Artificial Intelligence: Beyond Interpretability
Organized by: Tassadit Bouadi, Benoit Frénay, Luis Galárraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin

09:00 Trust in Artificial Intelligence: Beyond Interpretability

Tassadit Bouadi, Université de Rennes (France)
Benoit Frénay, Université de Namur (Belgium)
Luis Galárraga, Inria (Rennes)
Pierre Geurts, University of Liège (Belgium)
Barbara Hammer, CITEC - Bielefeld University (Germany)
Gilles Perrouin, University of Namur - NaDI - Faculty of Computer Science - PReCISE (Belgium)

09:20 Interpreting Hybrid AI through Autodecoded Latent Space Entities

Roland Veen, University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (The Netherlands)
Christodoulos Hadjichristodoulou, University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (The Netherlands)
Michael Biehl, University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (The Netherlands)

09:40 ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery

Tomasz Michalski, Jagiellonian University, Doctoral School of Exact and Natural Sciences, Poland Jagiellonian University, Faculty of Mathematics and Computer Science, Poland (Poland)
Dawid Rymarczyk, Jagiellonian University, Faculty of Mathematics and Computer Science, Poland
Daniel Barczyk, Jagiellonian University, Faculty of Mathematics and Computer Science, Poland
Bartosz Zieliński, Jagiellonian University (Polska)

10:00 Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks

Jasper Wilfling, Department of AI, University of Groningen (Netherlands)
Matias Valdenegro-Toro, Department of AI, University of Groningen (Netherlands)
Marco Zullich, Department of AI, University of Groningen (Netherlands)

10:20 Trust in Artificial Intelligence: Beyond Interpretability - poster spotlights
Organized by: Tassadit Bouadi, Benoit Frénay, Luis Galárraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin

10:20 Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies

Dennis Gross, Simula Research Laboratory (Norway)
Helge Spieker, Simula Research Laboratory (Norway)

10:21 Evaluation methodology for disentangled uncertainty quantification on regression models

Kevin Pasini, Irt systemX (France)
Clément ARLOTTI, IRT SystemX (France)
milad leyli abadi, IRT SystemX (France)
Marc Nabhan, Air liquide (France)
johanna baro

10:22 Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations

Anusha Ihalapathirana, University of Oulu (Finland)
Gunjan Chandra, University of Oulu (Finland)
Piia Lavikainen, University of Eastern Finland (Finland)
Pekka Siirtola, University of Oulu (Finland)
Satu Tamminen, University of Oulu (Finland)
Nirzor Talukder, University of Oulu (Finland)
Janne Martikainen, University of Eastern Finland (Finland)
Juha Röning, University of Oulu (Finland)

10:23 Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation

Sacha Corbugy, University of Namur (Belgium)
Thibaut Septon, University of Namur (Belgium)
Bruno Dumas, University of Namur (Belgium)
Benoit Frénay, Université de Namur (Belgium)

10:24 Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanations of LLMs?

Jérémie Bogaert, UCLouvain - ICTEAM (Belgium)
François-Xavier Standaert, UCLouvain - ICTEAM (Belgium)

10:25 Coffee break

10:40 Nonlinear dimensionality reduction and unsupervised learning

10:40 Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra

Nikos Gianniotis, HITS gGmbH (Germany)
Kai L. Polsterer, HITS gGmbH (Germany)
Iliana Isabel Cortés Pérez, HITS gGmbH (Germany)

11:00 Forget early exaggeration in t-SNE: early hierarchization preserves global structure

John Lee, UCLouvain (Belgium)
Edouard Couplet, UCLouvain (Belgique)
Pierre Lambert, UCLouvain (Belgium)
Ludovic Journaux, Institut Agro Dijon (France)
Dounia Mulders, UCLouvain (Belgium)
Cyril de Bodt, UCLouvain - ICTEAM (Belgium)
Michel Verleysen, UCLouvain - ICTEAM institute (Belgium)

11:20 Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE.

Pierre Lambert, UCLouvain (Belgium)
Edouard Couplet, UCLouvain (Belgique)
Cyril de Bodt, UCLouvain - ICTEAM (Belgium)
John Lee, UCLouvain (Belgium)

11:40 Nonlinear dimensionality reduction and unsupervised learning - poster spotlights

11:40 Hyperbolic Metabolite-Disease Association Prediction

Domonkos Pogány, Budapest University of Technology and Economics, Department of Artificial Intelligence and Systems Engineering (Hungary)
Péter Antal, Budapest University of Technology and Economics, Department of Measurement and Information Systems (Hungary)

11:41 Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings

Diego Garcia-Perez, University of Oviedo (SPAIN)
Ignacio Diaz-Blanco, University of Oviedo (SPAIN)
Jose M. Enguita-Gonzalez, University of Oviedo (SPAIN)
Jorge Menéndez, University of Oviedo (SPAIN)
Abel A. Cuadrado-Vega, University of Oviedo (SPAIN)

11:42 Exploring Self-Organizing Maps for Addressing Semantic Impairments

Jorge Graneri, UDELAR (Uruguay)
Sebastian Basterrech, DTU-Compute, DTU (Denmark)
Gerardo Rubino, INRIA-Rennes (France)
Eduardo Mizraji, UDELAR (Uruguay)

11:43 HDBSCAN for 3-rd order tensor

Dina Faneva Andriantsiory, Laboratoire d'Informatique de Paris Nord - CNRS UMR 7030 (France)
Joseph Ben Geloun, Univ Sorbonne Paris Nord (France)
Mustapha Lebbah, Université Paris-Saclay - UVSQ Versailles Campus (France)

11:44 Analysis of DNA methylation patterns in cancer samples using SOM

Ignacio Diaz-Blanco, University of Oviedo (SPAIN)
Jose M. Enguita-Gonzalez, University of Oviedo (SPAIN)
Diego Garcia-Perez, University of Oviedo (SPAIN)
Abel A. Cuadrado-Vega, University of Oviedo (SPAIN)
Nuria Valdes-Gallego, Hospital Universitario de Cruces (SPAIN)
Maria Dolores Chiara-Romero, Institute of Sanitary Research of the Principado de Asturias (SPAIN)

11:45 Graph learning

11:45 Large-Scale Continuous Structure Learning from Time-Series Data

Filippo Michelis, Università di Pisa (Italy)
Riccardo Massidda, Università di Pisa (Italy)
Davide Bacciu, University of Pisa (Italy)

12:05 Noise Robust One-Class Intrusion Detection on Dynamic Graphs

Aleksei Liuliakov, Bielefeld University, CITEC (Germany)
Alexander Schulz, Bielefeld University (Germany)
Luca Hermes, Bielefeld University CoR-Lab (CITEC) (Germany)
Barbara Hammer, CITEC - Bielefeld University (Germany)

12:25 Graph learning - poster spotlights

12:25 SAT Instances Generation Using Graph Variational Autoencoders

Daniel Crowley, University College Cork (Ireland)
Marco Dalla, University College Cork (Ireland)
Barry O'Sullivan, University College Cork (Ireland)
Andrea Visentin, University College Cork (Ireland)

12:26 Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding

Lucas Goené, Utrecht University (The Netherlands)
Siamak Mehrkanoon, Utrecht University (Netherlands)

12:27 Link prediction heuristics for temporal graph benchmark

Manuel Dileo, University of Milan (Italy)
Matteo Zignani, University of Milan (Italy)

12:28 Inductive lateral movement detection in enterprise computer networks

Corentin Larroche, ANSSI (France)

12:29 Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms

Loc Tran, Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam (Vietnam)
Bac Le, Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam Vietnam National University, Ho Chi Minh City, Vietnam (Vietnam)
Thanh Le, University of Science, Vietnam National University, Ho Chi Minh City, Vietnam (Vietnam)

12:30 T-WinG: Windowing for Temporal Knowledge Graph Completion

Ngoc-Trung Nguyen, Ho Ch Minh City University of Education (Vietnam)
Thanh Vu, Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam Vietnam National University, Ho Chi Minh City, Vietnam (Vietnam)
Thanh Le, University of Science, Vietnam National University, Ho Chi Minh City, Vietnam (Vietnam)

12:31 Lunch

14:00 Domain Knowledge Integration in Machine Learning Systems
Organized by: Marika Kaden, Sascha Saralajew, Thomas Villmann

14:00 Domain Knowledge Integration in Machine Learning Systems - An Introduction

Marika Kaden, University of Applied Sciences Mittweida, Saxony Institute for Computational Intelligence and Machine Learning (Germany)
Sascha Saralajew, NEC Laboratories Europe Heidelberg (Germany)
Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)

14:20 Tumor Grading via Decorrelated Sparse Survival Regression

Benjamin Paassen, Bielefeld University (Germany)
Nadine Gaisa, Institute of Pathology, University Hospital Ulm, University of Ulm (Germany)
Michael Rose, Institute of Pathology, University Hospital Ulm, University of Ulm (Germany)
Mark-Sebastian Bösherz, University Hospital RWTH Aachen University (Germany)

14:40 Domain Knowledge Integration in Machine Learning Systems - poster spotlights
Organized by: Marika Kaden, Sascha Saralajew, Thomas Villmann

14:40 Physics-Aware Normalizing Flows: Leveraging Electric Circuit Models in Adversarial Learning

Benjamin Schindler, Universität Leipzig (Germany)
Thomas Schmid, Martin-Luther-Universität Halle-Wittenberg (Germany)

14:41 Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models

Nuno Costa, University of Porto, Faculty of Engineering (Portugal)
Filipa S. Barros, LIACC; IRAP; IA (Portugal)
João J. G. Lima
Rui F. Pinto
André Restivo, LIACC, Faculdade de Engenharia, Universidade do Porto (Portugal )

14:42 Online learning and concept drift

14:42 Self-Supervised Learning from Incrementally Drifting Data Streams

Valerie Vaquet, CITEC, Bielefeld University (Germany)
Jonas Vaquet, CITEC, Bielefeld University (Germany)
Fabian Hinder, Bielefeld University (Germany)
Kleanthis Malialis, KIOS Research and Innovation Center of Excellence, University of Cyprus (Cyprus )
Christos Panayiotou, KIOS Research and Innovation Center of Excellence, University of Cyprus
Marios Polycarpou, KIOS Research and Innovation Center of Excellence, University of Cyprus
Barbara Hammer, CITEC - Bielefeld University (Germany)

15:02 On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions

Frederieke Richert, University of Groningen (The Netherlands)
Otavio Citton, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen (The Netherlands)
Michael Biehl, University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (The Netherlands)

15:22 Online learning and concept drift - poster spotlights

15:22 Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning

Thomas Avé, University of Antwerp - IDLab - imec (Belgium)
Matthias Hutsebaut-Buysse, University of Antwerp - IDLab - imec (Belgium)
Wei Wei, University of Antwerp (Belgium)
Kevin Mets, University of Antwerp - IDLab - imec (Belgium)

15:23 Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis

Miguel Pego Roque, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa (Portugal)
Andreia S. Martins, LASIGE, Faculdade de Ciências, Universidade de Lisboa (Portugal)
Marta Gromicho, Instituto de Medicina Molecular and Faculdade de Medicina, Universidade de Lisboa
Mamede de Carvalho, Instituto de Medicina Molecular and Faculdade de Medicina, Universidade de Lisboa
Sara C. Madeira, LASIGE, Faculdade de Ciências, Universidade de Lisboa (Portugal)
Pedro Tomás, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa (Portugal)
Helena Aidos, LASIGE, Faculdade de Ciências, Universidade de Lisboa (Portugal)

15:24 Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics

Jose M. Enguita-Gonzalez, University of Oviedo (SPAIN)
Diego Garcia-Perez, University of Oviedo (SPAIN)
Abel Alberto Cuadrado-Vega, University of Oviedo (Spain)
Daniel García-Peña, CIN Advanced System (Spain)
José Ramón Rodríguez-Ossorio, University of León (Spain)
Ignacio Diaz-Blanco, University of Oviedo (SPAIN)

15:25 Invariant Representation Learning for Generalizable Imitation

Mohamed Jabri, IMT Atlantique; The University of Adelaide (Australia)
Panagiotis Papadakis, IMT Atlantique (France)
Ehsan Abbasnejad
Gilles Coppin, IMT Atlantique / Lab-STICC (France)
Javen Shi

15:26 Unsupervised Drift Detection Using Quadtree Spatial Mapping

Bernardo A. Ramos, Universidade Federal de Minas Gerais (Brazil)
Cristiano Leite de Castro, Universidade Federal de Minas Gerais (Brazil)
Tiago A. Coelho, Universidade Estadual de Feira de Santana (Brazil)
Plamen Angelov, Lancaster University (UK)

15:27 Time series, recurrent and reinforcement learning

15:27 LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables.

Julien Paris, CR2TI / UMR 1064 Inserm, Nantes University Hospital, France (France)
Christine Sinoquet, Nantes Digital Science Laboratory (LS2N / UMR CNRS 6004) Nantes University (France)
Fadoua Taia-Alaoui, GRICAD (Grenoble Alpe Research - Scientific Computing and Data Infrastructure), Grenoble, France (France)
Corinne Lejus-Bourdeau, LE SiMU (Experimental Intensive Care Medicine Simulation Laboratory at Nantes University) / Nantes University Hospital (France)

15:47 Reservoir Memory Networks

Claudio Gallicchio, University of Pisa (Italy)
Andrea Ceni, University of Pisa (Italy)

16:07 Why long model-based rollouts are no reason for bad Q-value estimates

Philipp Wissmann, Ludwig-Maximilians-Universität München (Deutschland)
Daniel Hein, Siemens AG (Germany)
Steffen Udluft, Siemens Technology (Germany)
Volker Tresp, Ludwig-Maximilians-Universität München

16:27 Recurrent Neural Network based Counter Automata

Sergio Leal, Universidad Autónoma de Madrid (Spain)
Luis Lago, Universidad Autónoma de Madrid (Spain)

16:47 Time series, recurrent and reinforcement learning - poster spotlights

16:47 Multidimensional CDTW-based features for Parkinson's Disease classification

Ferhat Attal, UPEC (France)
Nicolas Khoury, capgemini (France)
Yacine Amirat, UPEC (France)

16:48 Vision Language Models as Policy Learners in Reinforcement Learning Environments

Giovanni Bonetta, Bruno Kessler Foundation (Italy)
Davide Zago, University of Turin (Italy)
Rossella Cancelliere, University of Turin (Italy)
Mirko Polato, University of Torino (Italy)
Bernardo Magnini, Bruno Kessler Foundation (Italy)

16:49 Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange

Sarel Cohen, The Academic College of Tel Aviv-Yaffo (Israel)
Manuel Hettich, Hasso Plattner Institute, Potsdam University (Germany)
Philipp Bielefeld, Hasso Plattner Institute, Potsdam University (Germany)
Crispin Schomers, Hasso Plattner Institute, Potsdam University (Germany)
Tobias Friedrich, Hasso Plattner Institute, Potsdam University (Germany)

16:50 A Deep Double Q-Learning as a SDLS support in solving LABS problem

Dominik Żurek, AGH University of Krakow (Polska)

16:51 Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group Sizes

Saba Izadkhah, Portland State University (United States)
Banafsheh Rekabdar, Portland State University (OR)

16:52 Poster exhibition and coffee break

18:30 Visit of the "Halve maan" brewery

19:30 Conference dinner at the "Halve Maan" brewery

Friday, 11.10.2024

09:00 Aeronautic data analysis
Organized by: Jérôme Lacaille, Patrick Fabiani, Patricia Besson

09:00 Aeronautic data analysis

Jérôme Lacaille, Datalab, Safran Aircraft Engines (France)
Patrick Fabiani, Dassault-Aviation (France)
Patricia Besson, Thales Research and Technology (France)

09:20 From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics

Abdellah Madane, David Lab, Université Paris Saclay - Safran Aircraft Engines (France)
Florent Forest, EPFL (Switzerland)
Hanane Azzag, LIPN UMR CNRS 7030, Sorbonne Paris Nord University (USPN) (France)
Mustapha Lebbah, Université Paris-Saclay - UVSQ Versailles Campus (France)
Jérôme Lacaille, Datalab, Safran Aircraft Engines (France)

09:40 Aeronautic data analysis - poster spotlights
Organized by: Jérôme Lacaille, Patrick Fabiani, Patricia Besson

09:40 A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft Engines

Solène Thépaut, Safran Tech (France)
Sebastien RAZAKARIVONY, Safran Group (FRANCE)
Dong Quan Vu, Safran Tech, Digital Sciences & Technologies Department, (France)
Alfred Bauny, Safran Aircraft Engines (France)

09:41 Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation

Davide Di Giusto, Thales Research & Technology France (France)
Grégoire Boussu, Thales Research & Technology France (France)
Simon Alix, Thales Research & Technology France (France)
Céline Reverdy, Thales Research & Technology France (France)
Mathieu Riou, Thales Research & Technology France (France)
Teodora Petrisor, Thales Research & Technology France (France)

09:42 Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI)
Organized by: Fabien Lotte, Marta Molinas, Jaime A Riascos

09:42 Machine Learning Methods for BCI: challenges, pitfalls and promises

Jaime A Riascos, Potsdam University - Institution University of Envigado - Colegio Colombiano de Neurociencias (COLNE) (Germany - Colombia)
Marta Molinas, Norwegian University of Science and Technology (Norway)
Fabien Lotte, Inria (France)

10:02 Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface

Mithila Packiyanathan, Norwegian University of Science and Technology (Norway)
André Torvestad, Norwegian University of Science and Technology (Norway)
Marta Molinas, Norwegian University of Science and Technology (Norway)
Luis Alfredo Moctezuma Pascual, University of Tsukuba (Japan)

10:22 Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface

Sébastien VELUT, ISAE-SUPAERO & LISN (France)
Sylvain Chevallier, LISN - Université Paris-Saclay (France)
Marie-Constance Corsi, Paris Brain Institute -ICM, CNRS, Inria, Inserm, AP-HP, Hopital de la Pitié Salpetriere (France)
Frédéric Dehais, Fédération ENAC ISAE-SUPAERO ONERA (France)

10:42 Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI) - poster spotlights
Organized by: Fabien Lotte, Marta Molinas, Jaime A Riascos

10:42 EEG Source Imaging Enhances Motor Imagery Classification

Andres Soler, Norwegian University of Science and Tecnology (Norway)
Viktor Naas, Norwegian University of Science and Technology (Norway)
Amita Giri, Massachusetts Institute of Technology (United States)
Marta Molinas, Norwegian University of Science and Technology (Norway)

10:43 Unveiling Dreams: Moving Towards Automatic Dream Decoding via PSD-Based EEG Analysis and Machine Learning

André Torvestad, Norwegian University of Science and Technology (Norway)
Mithila Packiyanathan, Norwegian University of Science and Technology (Norway)
Luis Alfredo Moctezuma Pascual, University of Tsukuba (Japan)
Marta Molinas, Norwegian University of Science and Technology (Norway)

10:44 Towards calibration-free online EEG motor imagery decoding using Deep Learning

Martin Wimpff, Institute of Signal Processing and System Theory, University of Stuttgart, Germany (Deutschland)
Jan Zerfowski, Clinical Neurotechnology Laboratory, Department of Psychiatry and Neurosciences, Charit´e Campus Mitte (CCM), Charit´e - Universitätsmedizin Berlin, Germany (Deutschland)
Bin Yang, Institute of Signal Processing and System Theory, University of Stuttgart, Germany (Deutschland)

10:45 Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG

Shanglin Li, Advanced Telecommunications Research Institute International (Japan)
Motoaki Kawanabe, Advanced Telecommunications Research Institute International (Japan)
Reinmar Kobler, ATR Brain Information Communication Research Group (Japan)

10:46 Coffee break

11:05 Language models

11:05 LLaMA Tunes CMA-ES

Oliver Kramer, University of Oldenburg (Germany)

11:25 A Two-Stage Approach for Implicit Bias Detection in Generative Language Models

Jeremy Edwards, University of Houston (USA)
Renjie Hu, University of Houston (USA)
Amaury Lendasse, Missouri University of Science & Technology (USA)
Alexander Schlager, AIceberg Inc (USA)
Peggy Lindner, University of Houston (USA)

11:45 Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts

Thanh Thi Nguyen, Monash University (Australia)
Campbell Wilson, Monash University (Australia)
Janis Dalins, Australian Federal Police (Australia)

12:05 Language models - poster spotlights

12:05 Towards Explainable Evolution Strategies with Large Language Models

Jill Baumann, University of Oldenburg (Germany)
Oliver Kramer, University of Oldenburg (Germany)

12:06 Embodying Language Models in Robot Action

Connor Gäde, University of Hamburg, Dept. of Informatics, WTM (Germany)
Ozan Özdemir, University of Hamburg, Dept. of Informatics, WTM (Germany)
Cornelius Weber, University of Hamburg, Dept. of Informatics, WTM (Germany)
Stefan Wermter, University of Hamburg, Dept. of Informatics, WTM (Germany)

12:07 Large Language Models as Tuning Agents of Metaheuristics

Alicja Martinek, NASK - National Research Institute (Poland)
Szymon Łukasik, NASK - National Research Institute (Poland)
Amir H. Gandomi, Faculty of Engineering and IT, University of Technology Sydney (Australia)

12:08 ChatDT: Simplifying Constraint Integration in Decision Trees

Abiola Paterne Chokki, University of Namur (Belgium)
Benoit Frénay, Université de Namur (Belgium)

12:09 Lunch

13:40 Image processing and computer vision

13:40 From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images

Valentin Delchevalerie, University of Namur (Belgium)
Benoit Frénay, Université de Namur (Belgium)
Alexandre Mayer, Université de Namur (Belgium)

14:00 Visualizing and Improving 3D Mesh Segmentation with DeepView

Andreas Mazur, Bielefeld University - Center for Cognitive Interaction Technology (CITEC) (Germany)
Isaac Roberts, Bielefeld University - Faculty of Technology (Germany)
David Leins, Bielefeld University (Germany)
Alexander Schulz, Bielefeld University (Germany)
Barbara Hammer, CITEC - Bielefeld University (Germany)

14:20 Clarity: a Deep Ensemble for Visual Counterfactual Explanations

Claire Theobald, LORIA (France)
Frédéric Pennerath, LORIA (France)
Brieuc Conan-Guez, LORIA (France)
Miguel Couceiro, LORIA (France)
Amedeo Napoli, LORIA (France)

14:40 An Efficient Neural Architecture Search Model for Medical Image Classification

Lunchen Xie, Tongji University; Politecnico di Milano (Italy)
Eugenio Lomurno, Politecnico di Milano (Italy)
Matteo Gambella, Politecnico di Milano (Italy)
Danilo Ardagna, Politecnico di Milano (Italy)
Manuel Roveri, Politecnico di Milano (Italy)
Matteo Matteucci, Politecnico di Milano (Italy)
Qingjiang Shi, Tongji University (China)

15:00 Image processing and computer vision - poster spotlights

15:00 Leveraging endoscopic data with Contrastive Learning for Crohn’s disease detection

Robin Ghyselinck, Université de Namur (Belgium)
Jérôme Fink, University of Namur (Belgium)
Bruno Dumas, University of Namur (Belgium)
Benoit Frénay, Université de Namur (Belgium)

15:01 Unpaired Image-to-Image Translation to Improve Log End Identification

Dag Björnberg, Linnaeus University (Sweden)
Morgan Ericsson, Linnaeus University (Sweden)
Welf Löwe, Linnaeus University (Sweden)
Jonas Nordqvist, Linnaeus University (Sweden)

15:02 Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks

Yuyan Zhang, Department of Computer Science, KU Leuven (Belgium)
Derya Soydaner, Department of Brain and Cognition, KU Leuven; KU Leuven Institute for Artificial Intelligence (Belgium)
Fatemeh Behrad, Department of Brain and Cognition, KU Leuven; KU Leuven Institute for Artificial Intelligence (Belgium)
Lisa Koßmann, Department of Brain and Cognition, KU Leuven (Belgium)
Johan Wagemans, Department of Brain and Cognition, KU Leuven; KU Leuven Institute for Artificial Intelligence (Belgium)

15:03 Influence of image encoders and image features transformations in emergent communication

Bastien Vanderplaetse, MAIA Artificial Intelligence Lab, Faculty of Science, University of Mons (Belgium)
Stéphane Dupont, MAIA Artificial Intelligence Lab, Faculty of Science, University of Mons (Belgium)
Xavier Siebert, UMONS (Belgique)

15:04 SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image Segmentation

Chuxin Zhang, Université catholique de Louvain (Belgique)
Ana Maria Barragan Montero, UCLouvain (Belgium)
John Lee, UCLouvain (Belgium)

15:05 Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep Learning

Jean Pierre Brik López Vargas, São Paulo State University (Brazil)
Davi Duarte de Paula, São Paulo State University (Brazil)
Denis Salvadeo, São Paulo State University (Brazil)
Emílio Bergamim Júnior, São Paulo State University (Brazil)

15:06 AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras

Dominik Mairhöfer, Institute for Neuro- and Bioinformatics, University of Lübeck (Germany)
Manuel Laufer, Institute for Neuro- and Bioinformatics, University of Lübeck (Germany)
Lennart Berkel, University Medical Center Schleswig-Holstein (Germany)
Arpad Bischof, University Medical Center Schleswig-Holstein (Germany)
Erhardt Barth, Institute for Neuro- and Bioinformatics, University of Lübeck (Germany)
Jörg Barkhausen, University Medical Center Schleswig-Holstein (Germany)
Thomas Martinetz, Institute or Neuro- and Bioinformatics, University of Lübeck (Germany)

15:07 On the Stability of Neural Segmentation in Radiology

moritz wolter, University of Bonn (Germany)
Lokesh Veeramacheneni, University of Bonn (Germany)
Bettina Baeßler, University Hospital Wuerzburg (German)
Ulrike I. Attenberger, University Hospital Bonn
Barbara D. Wichtmann, University Hospital Bonn

15:08 Graph-cut-assisted CNN training for pulmonary embolism segmentation

Nana Yang, UCLouvain (Belgium)
Robin Verschuren, UCLouvain (Belgium)
Christophe De Vleeschouwer, UCLouvain (Belgium)

15:09 Reconstruction of Mammography Projections using Image-to-Image Translation Techniques

Joana Cristo Santos, University of Coimbra, CISUC, Department of Informatics Engineering, Coimbra 3030-290, Portugal (Portugal)
Miriam Seoane Santos, Laboratory of Artificial Intelligence and Decision Support (LIAAD -- INESC TEC), Porto, Portugal Department of Computer Sciences, Faculty of Sciences, University of Porto (FCUP), Porto, Portugal (Portugal)
Pedro Henriques Abreu, University of Coimbra, CISUC, Department of Informatics Engineering, Coimbra 3030-290, Portugal (Portugal)

15:10 Poster exhibition and coffee break

17:00 End of conference