Wednesday, 04.10.2023
09:00 Welcome session
09:10 Graph Representation Learning
Organized by: Federico Errica, Davide Bacciu, Alessio Micheli, Luca Pasa, Nicolò Navarin, Marco Podda, Daniele Zambon
09:10 Graph Representation Learning
- Davide Bacciu, University of Pisa (Italy)
- Federico Errica, NEC Laboratories Europe GmbH (Germany)
- Alessio Micheli, Università di Pisa (Italy)
- Nicolò Navarin, University of Padua (Italy)
- Luca Pasa, University of Padova (Italy)
- Marco Podda, Università di Pisa (Italy)
- Daniele Zambon, The Swiss AI Lab IDSIA (Switzerland)
09:30 Richness of Node Embeddings in Graph Echo State Networks
- Domenico Tortorella, University of Pisa (Italy)
- Alessio Micheli, Università di Pisa (Italy)
09:50 An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features
- Nicolò Navarin, University of Padua (Italy)
- Luca Pasa, University of Padova (Italy)
- Luca Oneto, University of Genoa (Italy)
- Alessandro Sperduti, University of Padua (Italy)
10:10 Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction
- Luis Torres, Department of Informatics Engineering (DEI), Center for Informatics and Systems of the University of Coimbra (CISUC) (Portugal)
- Bernardete Ribeiro, Department of Informatics Engineering (DEI), Center for Informatics and Systems of the University of Coimbra (CISUC) (Portugal)
- Joel Arrais, Department of Informatics Engineering (DEI), Center for Informatics and Systems of the University of Coimbra (CISUC) (Portugal)
10:30 Hidden Markov Models for Temporal Graph Representation Learning
- Federico Errica, NEC Laboratories Europe GmbH (Germany)
- Alessio Gravina, University of Pisa (Italy)
- Davide Bacciu, University of Pisa (Italy)
- Alessio Micheli, Università di Pisa (Italy)
10:50 Graph Representation Learning - Poster spotlights
Organized by: Federico Errica, Davide Bacciu, Alessio Micheli, Luca Pasa, Nicolò Navarin, Marco Podda, Daniele Zambon
10:50 A Tropical View of Graph Neural Networks
- Francesco Landolfi, Università di Pisa (Italy)
- Davide Bacciu, University of Pisa (Italy)
- Danilo Numeroso, University of Pisa (Italy)
10:51 Graph-based Categorical Embedding
- Weiwei Wang, Maastricht University (Netherlands)
- Stefano Bromuri, Open University (Netherlands)
- Michel Dumontier, Maastricht University (Netherlands)
10:52 FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer
- Thanh Vu, Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam Vietnam National University, Ho Chi Minh City, Vietnam (Vietnam)
- Huy Ngo, Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam Vietnam National University, 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)
10:53 Coffree break
11:20 Feature selection and dimension reduction
11:20 Feature Selection for Concept Drift Detection
- Fabian Hinder, Cognitive Interaction Technology (CITEC), Bielefeld University (Germany)
- Barbara Hammer, Cognitive Interaction Technology (CITEC), Bielefeld University (Germany)
11:40 Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA)
- Michael Biehl, University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (The Netherlands)
- Sofie Lövdal, University Medical Center Groningen (UMCG), Department of Nuclear Medicine and Molecular Imaging Hanzeplein 1, 9713 GZ Groningen -The Netherlands (The Netherlands)
12:00 Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection
- Maximilian Münch, University of Applied Sciences Würzburg-Schweinfurt University of Groningen (Germany)
- Katrin Sophie Bohnsack, University of Applied Sciences Mittweida (Germany)
- Alexander Engelsberger, University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence (Deutschland)
- Frank-Michael Schleif, Technical University of Applied Sciences Würzburg-Schweinfurt (Germany)
- Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)
12:20 Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noise
- Felipe Contreras, University of Groningen - Kapteyn Astronomical Institute (Netherlands)
- Kerstin Bunte, University of Groningen (Netherlands)
- Reynier Peletier, University of Groningen (The Netherlands)
12:40 Feature selection and dimension reduction - Poster spotlights
12:40 Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration
- Pierre Lambert, UCLouvain (Belgium)
- John Lee, UCLouvain (Belgium)
- Edouard Couplet, UCLouvain (Belgique)
- Cyril de Bodt, UCLouvain - ICTEAM (Belgium)
12:42 Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts
- Valerie Vaquet, CITEC, Bielefeld University (Germany)
- Johannes Brinkrolf, CITEC - Cognitive Interaction Technology Bielefeld University (Germany)
- Barbara Hammer, CITEC - Bielefeld University (Germany)
12:43 A Counterexample to Ockham's Razor and the Curse of Dimensionality: Marginalising Complexity and Dimensionality for GMMs
- Benoit Frénay, Université de Namur (Belgium)
12:44 Feature Selection for Multi-label Classification with Minimal Learning Machine
- Joakim Linja, University of Jyväskylä Faculty of Information Techonolgy (Finland)
- Joonas Hämäläinen, University of Jyväskylä, Faculty of Information Technology (Finland)
- Tommi Kärkkäinen, University of Jyvaskyla, Faculty of Information Technology (Finland)
12:45 Learning with Boosting Decision Stumps for Feature Selection in Evolving Data Streams
- Daniel Nowak-Assis, Independent Researcher (Brazil)
12:46 Lunch
14:10 Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness
Organized by: Maura Pintor, Ambra Demontis, Battista Biggio
14:10 Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness
- Maura Pintor, University of Cagliari (Italy)
- Ambra Demontis, University of Cagliari (Italy)
- Battista Biggio, University of Cagliari (Italy)
14:30 Secure Federated Learning with Kernel Affine Hull Machines
- Mohit Kumar, Software Competence Center Hagenberg GmbH (Austria)
- Bernhard Moser, Software Competence Center Hagenberg GmbH (Austria)
- Lukas Fischer, Software Competence Center Hagenberg GmbH (Austria)
14:50 Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization
- Giorgio Piras, University of Cagliari (Italy)
- Giuseppe Floris, University of Cagliari (Italy)
- Raffaele Mura, University of Cagliari (Italia)
- Luca Scionis, University of Cagliari (Italy)
- Maura Pintor, University of Cagliari (Italy)
- Battista Biggio, University of Cagliari (Italy)
- Ambra Demontis, University of Cagliari (Italy)
15:10 Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness - Poster spotlights
Organized by: Maura Pintor, Ambra Demontis, Battista Biggio
15:10 On the Limitations of Model Stealing with Uncertainty Quantification Models
- David Pape, CISPA Helmholtz Center for Information Security (Germany)
- Sina Däubener, Ruhr University Bochum (please complete)
- Thosten Eisenhofer, Ruhr University Bochum (Germany)
- Antonio Emanuele Cinà, CISPA Helmholtz Center for Information Security (Germany)
- Lea Schönherr, CISPA Helmholtz Center for Information Security (Germany)
15:11 Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective
- Luca Oneto, University of Genoa (Italy)
- Sandro Ridella, University of Genoa (Italy)
- Davide Anguita, DIBRIS - University of Genova (Italy)
15:12 Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer
- Ana Maria Barragan Montero, UCLouvain (Belgium)
- Robin Tilman, UCLouvain (Belgium)
- Margerie Huet-Dastarac, UCLouvain (Belgium)
- John Lee, UCLouvain (Belgium)
15:13 Fairness and Interpretability, Clustering, and NLP
15:13 Mixture of stochastic block models for multiview clustering
- Kylliann De Santiago, Laboratoire de Mathématiques et Modélisation d'Évry (UMR 8071) (France)
- Marie Szafranski, École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (France)
- Christophe Ambroise, Laboratoire de Mathématiques et Modélisation d'Évry (France)
15:33 Fine-tuning is not (always) overfitting artifacts
- Jérémie Bogaert, UCLouvain - ICTEAM (Belgium)
- Emmanuel Jean, Multitel (Belgium)
- Cyril de Bodt, UCLouvain - ICTEAM (Belgium)
- François-Xavier Standaert, UCLouvain - ICTEAM (Belgium)
15:53 On Instance Weighted Clustering Ensembles
- Paul Moggridge, University of Hertfordshire, UK (UK)
- Na Helian, University of Hertfordshire, UK (UK)
- Yi Sun, University of Hertfordshire, UK (UK)
- Mariana Lilley, University of Hertfordshire, UK (UK)
16:13 Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis
- Zhengxiang Shi, University College London (United Kingdom)
- Aldo Lipani, UCL (United Kingdom)
16:33 Fairness and Interpretability, Clustering, and NLP - Poster spotlights
16:33 Similarity versus Supervision: Best Approaches for HS Code Prediction
- Sédrick Stassin, University of Mons (UMONS) (Belgique)
- otmane Amel, University of Mons (Belgique)
- Sidi Ahmed Mahmoudi, UMONS (Belgium)
- Xavier Siebert, UMONS (Belgique)
16:34 Multimodal Approach for Harmonized System Code Prediction
- otmane Amel, University of Mons (Belgique)
- Sédrick Stassin, University of Mons (UMONS) (Belgique)
- Sidi Ahmed Mahmoudi, UMONS (Belgium)
- Xavier Siebert, UMONS (Belgique)
16:35 Mitigating Robustness Bias: Theoretical Results and Empirical Evidences
- Danilo Franco, University of Genoa (Italy)
- Luca Oneto, University of Genoa (Italy)
- Davide Anguita, DIBRIS - University of Genova (Italy)
16:36 End-to-End Neural Network Training for Hyperbox-Based Classification
- Denis Martins, University of Münster (Germany)
- Christian Lülf, University of Münster (Germany)
- Fabian Gieseke, University of Münster (Germany)
16:37 TabSRA: An Attention based Self-Explainable Model for Tabular Learning
- Kodjo Mawuena AMEKOE, LIPN, University Paris 13 BPCE SA (France)
- Mohamed Djallel DILMI, LIPN, University Paris 13 Hanane AZZAG, LIPN, University Paris 13 (France)
- Zaineb CHELLY DAGDIA, UVSQ, Paris-Saclay (France)
- Mustapha Lebbah, Université Paris-Saclay - UVSQ Versailles Campus (France)
- Grégoire JAFFRE, Groupe BPCE
16:38 Improving Fairness via Intrinsic Plasticity in Echo State Networks
- Andrea Ceni, University of Pisa (Italy)
- Davide Bacciu, University of Pisa (Italy)
- Valerio De Caro, University of Pisa (Italy)
- Claudio Gallicchio, University of Pisa (Italy)
- Luca Oneto, University of Genoa (Italy)
16:39 Is Boredom an Indicator on the way to Singularity of Artificial Intelligence? Hypotheses as Thought-Provoking Impulse
- Martin Bogdan, Leipzig University (Germany)
16:40 Adversarial Auditing of Machine Learning Models under Compound Shift
- Karan Bhanot, Rensselaer Polytechnic Institute (United States)
- Dennis Wei, IBM Research (USA)
- Ioana Baldini
- Kristin Bennett, Rensselaer Polytechnic Institute (United States)
16:41 Language Modeling in Logistics: Customer Calling Prediction
- Xi Chen, Open university of the Netherlands (Netherlands)
- Giacomo Anerdi, Maastricht University (The Netherlands)
- Daniel Tan
- Stefano Bromuri, Open University (Netherlands)
16:42 Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability
- Indro Spinelli, Sapienza University of Rome (Italy)
- Michele Guerra, UiT The Arctic University of Norway (Norway)
- Filippo Maria Bianchi, NORCE - the Norwegian Research Center (Norway)
- Simone Scardapane, Sapienza University of Rome (Italia)
16:43 Coffee break and poster exhibition
18:15 Walking tour of Bruges with guides
Thursday, 05.10.2023
09:00 Quantum Artificial Intelligence
Organized by: José D. Martín-Guerrero, Lucas Lamata, Thomas Villmann
09:00 Quantum Artificial Intelligence: A tutorial
- José D. Martín-Guerrero, Universitat de València (Spain)
- Lucas Lamata, Universidad de Sevilla (Spain)
- Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)
09:20 Quantum Feature Selection with Variance Estimation
- Alessandro Poggiali, University of Pisa (Italy)
- Anna Bernasconi, Università di Pisa (Itaky)
- Alessandro Berti, University of Pisa (Italy)
- Gianna Del Corso, Dept Computer science, university of Pisa (Italy)
- Riccardo Guidotti, University of Pisa (Italia)
09:40 Logarithmic Quantum Forking
- Alessandro Berti, University of Pisa (Italy)
10:00 Quantum Artificial Intelligence - Poster spotlights
Organized by: José D. Martín-Guerrero, Lucas Lamata, Thomas Villmann
10:00 Quantum-ready vector quantization: Prototype learning as a binary optimization problem
- Alexander Engelsberger, University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence (Deutschland)
- Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)
10:01 Potential analysis of a Quantum RL controller in the context of autonomous driving
- M. Lautaro Hickmann, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) - Institut für KI-Sicherheit (Germany)
- Arne Raulf, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) - Institut für KI-Sicherheit (Germany)
- Frank Köster, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) - Institut für KI-Sicherheit (Germany)
- Friedhelm Schwenker, Ulm University (Germany)
- Hans-Martin Rieser, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) - Institut für KI-Sicherheit (Germany)
10:02 Green Machine Learning
Organized by: Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
10:02 Green Machine Learning
- Verónica Bolón-Canedo, CITIC, Universidade da Coruña (Spain)
- Laura Morán-Fernández, CITIC, Universidade da Coruña (Spain)
- Brais Cancela, Universidade da Coruña (Spain)
- Amparo Alonso-Betanzos, CITIC, Universidade da Coruña (Spain)
10:22 Logarithmic division for green feature selection: an information-theoretic approach
- Samuel Suárez-Marcote, CITIC, Universidade da Coruña (Spain)
- Laura Morán-Fernández, CITIC, Universidade da Coruña (Spain)
- Verónica Bolón-Canedo, CITIC, Universidade da Coruña (Spain)
10:42 Green Machine Learning - Poster spotlights
Organized by: Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
10:42 Efficient feature selection for domain adaptation using Mutual Information Maximization
- Guillermo Castillo García, Universidade da Coruña (Spain)
- Laura Morán-Fernández, CITIC, Universidade da Coruña (Spain)
- Verónica Bolón-Canedo, CITIC, Universidade da Coruña (Spain)
10:43 Automated green machine learning for condition-based maintenance
- Afonso Lourenco, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto, Portugal (PORTUGAL)
- Carolina Ferraz, GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto, Portugal (Portugal)
- Jorge Meira, ISEP (Portugal)
- Goreti Marreiros, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto, Portugal (Portugal)
- Verónica Bolón-Canedo, CITIC, Universidade da Coruña (Spain)
- Amparo Alonso-Betanzos, CITIC, Universidade da Coruña (Spain)
10:44 Multispectral Texture Classification in Agriculture
- Mariya Shumska, University of Groningen (the Netherlands)
- Kerstin Bunte, University of Groningen (The Netherlands)
10:45 Coffee break
11:10 Reinforcement learning and Evolutionary computation
11:10 DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety
- André Correia, Universidade da Beira Interior and NOVA LINCS (Portugal)
- Luís Alexandre, Universidade da Beira Interior and NOVA LINCS (Portugal)
11:30 Automatic Trade-off Adaptation in Offline RL
- Phillip Swazinna, Siemens AG / TU Munich (Germany)
- Steffen Udluft, Siemens Technology (Germany)
- Thomas Runkler, Siemens AG/ TU Munich (Germany)
11:50 Enhancing Evolution Strategies with Evolution Path Bias
- Oliver Kramer, University of Oldenburg (Germany)
12:10 Multi-Fidelity Reinforcement Learning with Control Variates
- Sami Khairy, Microsoft (Canada)
- Prasanna Balaprakash, Oak Ridge National Laboratory (United States)
12:30 Reinforcement learning and Evolutionary computation - Poster spotlights
12:30 Sun Tracking using a Weightless Q-Learning Neural Network
- Guilherme Souza, Universidade Federal do Rio de Janeiro (Brazil)
- Priscila Lima, Universidade Federal do Rio de Janeiro (Brazil)
- Felipe França, Instituto de Telecomunicações (Portugal)
12:31 A model-based approach to meta-Reinforcement Learning: Transformers and tree search
- Brieuc Pinon, Université Catholique de Louvain ICTEAM/INMA (Belgium)
- Raphaël Jungers, Université Catholique de Louvain ICTEAM/INMA (Belgium)
- Jean-Charles Delvenne, Université Catholique de Louvain ICTEAM/INMA (Belgium)
12:32 Derivative-Free Optimization Approaches for Force Polytopes Prediction
- Gautier Laisné, INRIA de l'Université de Bordeaux, project team AUCTUS (France)
- Nasser Rezzoug, PPrime Institute, CNRS, University of Poitiers, ENSMA, UPR 3346 (France)
- Jean-Marc Salotti, University of Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, F-33400 (France)
12:33 Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game
- Imre Gergely Mali, Babeș-Bolyai University (Romania)
- Gabriela Czibula, Babeș-Bolyai University (Romania)
12:34 Classification - poster spotlights
12:34 Performance Evaluation of Activation Functions in Extreme Learning Machine
- Karol Struniawski, Institute of Information Technology, Warsaw University of Life Sciences - SGGW (Polska)
- Aleksandra Konopka, Institute of Information Technology, Warsaw University of Life Sciences - SGGW (Polska)
- Ryszard Kozera, Institute of Information Technology, Warsaw University of Life Sciences - SGGW (Polska)
12:35 Evaluating Curriculum Learning Strategies for Pancreatic Cancer Prediction
- Eduardo Mosqueira-Rey, Universidade da Coruña (España)
- David Vázquez-Lema, Universidade da Coruña (España)
- Elena Hernández-Pereira, Universidade da Coruña (Spain)
12:36 Improving the DRASiW performance by exploiting its own "Mental Images"
- Gianluca Coda, CNR
- Massimo De Gregorio, CNR (Italy)
- Antonio Sorgente, CNR (Italia)
- Paolo Vanacore, CNR
12:37 Efficient Knowledge Aggregation Methods for Weightless Neural Networks
- Otávio Napoli, UNICAMP (Brazil)
- Ana Maria de Almeida, ISCTE - Instituto Universitário de Lisboa (ISTAR) (Portugal)
- José Miguel Sales Dias, ISCTE - Instituto Universitário de Lisboa (ISTAR) (Portugal)
- Luís Brás Rosário, Faculty of Medicine, Lisbon University (Portugal)
- Edson Borin, UNICAMP - Institute of Computing (Brazil)
- Mauricio Breternitz Jr., Instituto Universitario de Lisboa (Portugal)
12:38 Learning Vector Quantization in Context of Information Bottleneck Theory
- Mehrdad Mohannazadeh Bakhtiari, University of Applied Sciences Mittweida, Saxon Institute for Compuational Intelligence and Machine Learning (Deutschland)
- Daniel Staps, UAS Mittweida - SICIM (Germany)
- Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)
12:39 SOM-based Classification and a Novel Stopping Criterion for Astroparticle Applications
- Luis Sanchez, Rice University (USA)
- Erzsébet Merényi, Rice University (USA)
- Christopher Tunnell, Rice University (U.S.A)
12:40 WiSARD-based Ensemble Learning
- Leopoldo Lusquino Filho, São Paulo State University/ Institute of Science and Technology of Sorocaba (Brazil)
- Felipe França, Instituto de Telecomunicações (Portugal)
- Priscila Lima, Universidade Federal do Rio de Janeiro (Brazil)
12:41 Lunch
14:10 Deep learning and Computer vision
14:10 Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm
- Matteo Pardi, University of Pisa (Italy)
- Domenico Tortorella, University of Pisa (Italy)
- Alessio Micheli, Università di Pisa (Italy)
14:30 On the number of latent representations in deep neural networks for tabular data
- Edouard Couplet, UCLouvain (Belgique)
- Pierre Lambert, UCLouvain (Belgium)
- Michel Verleysen, UCLouvain - ICTEAM institute (Belgium)
- John Lee, UCLouvain (Belgium)
- Cyril de Bodt, UCLouvain - ICTEAM (Belgium)
14:50 CRE: Circle relationship embedding of patches in vision transformer
- Zhengyang Yu, Frankfurt Institute for Advanced Studies (FIAS) (Germany)
- Jochen Triesch, Frankfurt Institute for Advanced Studies and Goethe-Universität Frankfurt (Germany)
15:10 Introducing Convolutional Channel-wise Goodness in Forward-Forward Learning
- Andreas Papachristodoulou, KIOS CoE, University of Cyprus (Cyprus)
- Christos Kyrkou, KIOS CoE, University of Cyprus (Cyprus)
- Stelios Timotheou, Department of Electrical and Computer Engineering and KIOS Research and Innovation Center of Excellence, University of Cyprus (Cyprus)
- Theocharis Theocharides, KIOS CoE, Department of Electrical and Computer Engineering, University of Cyprus (Cyprus)
15:30 An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection
- Hazan Daglayan, ICTEAM Institute, UCLouvain (Belgium)
- Simon Vary, ICTEAM Institute, UCLouvain (Belgium)
- Pierre-Antoine Absil, UCLouvain (Belgium)
15:50 On Transformer Autoregressive Decoding for Multivariate Time Series Forecasting
- Mohammed Aldosari, University of Georgia (United States)
- John Miller, University of Georgia (United States)
16:10 Don’t waste SAM
- Nermeen Abou Baker, Hochschule Ruhr West (Germany)
- Uwe Handmann, Hochschule Ruhr West (Germany)
16:30 Deep learning and Computer vision - Poster Spotlights
16:30 Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis
- Frederieke Richert, University of Groningen (The Netherlands)
- Michiel Straat, Bielefeld University (Germany)
- Elisa Oostwal, University of Groningen (The Netherlands)
- Michael Biehl, University of Groningen, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (The Netherlands)
16:31 Real-time Detection of Evoked Potentials by Deep Learning: a Case Study
- Leonardo Amato, Department of Mathematics "Tullio Levi-Civita'' (Italia)
- Marta Maschietto, Department of Biomedical Sciences University of Padua (Italia)
- Alessandro Leparulo, Department of Biomedical Sciences University of Padua (Italia)
- Mattia Tambaro, Department of Biomedical Sciences University of Padua (Italia)
- Stefano Vassanelli, Department of Biomedical Sciences and Padua Neuroscience Center University of Padua (Italia)
- Alessandro Sperduti, University of Padua (Italy)
16:32 Coordinate descent on the Stiefel manifold for deep neural network training
- Estelle Massart, UCLouvain (Belgium )
- Vinayak Abrol, IIIT Delhi (Indian)
16:33 Action-Based ADHD Diagnosis in Video
- Yichun Li, Newcastle University (United Kingdom)
- Yuxing Yang, Newcastle University (United Kingdom)
- Rajesh Nair, Cumbria, Northumberland, Tyne and Wear (CNTW), NHS Foundation Trust (United Kingdom)
- Mohsen Naqvi, Newcastle University (United Kingdom)
16:34 Hierarchical priors for Hyperspherical Prototypical Networks
- Samuele Fonio, Università degli studi di Torino (Italy)
- Lorenzo Paletto, Università degli studi di Torino (Italy)
- Mattia Cerrato, Johannes Gutenberg-Universitat Mainz (Germany)
- Dino Ienco, INRAE (France)
- Roberto Esposito, Università degli studi di Torino (Italy)
16:35 Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements
- Helen Schneider, Fraunhofer IAIS (Germany)
- David Biesner, Fraunhofer IAIS (Germany)
- Akash Ashokan, Fraunhofer IAIS (Germany)
- Maximilian Broß, Fraunhofer IAIS (Germany)
- Rebecca Kador, Fraunhofer IAIS (Germany)
- Sandra Halscheidt, Fraunhofer IAIS (Germany)
- Gabor Bagyo, Evidia GmbH (Deutschland)
- Peter Dankerl, Evidia MVZ Radiologie Franken GmbH (Deutschland)
- Haissam Ragab, Diagnostic and Interventional Radiology University Medical Center Hamburg-Eppendorf (Deutschland )
- Jin Yamamura, Evidia GmbH (Deutschland)
- Christoph Labisch, Evidia GmbH (Deutschland)
- Rafet Sifa, Fraunhofer IAIS & Fraunhofer Center for Machine Learning (Deutschland)
16:36 Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture
- henda boudegga, Medical Technology and Image Processing Laboratory, Univ. of Monastir, Tunisia. ISITCom Hammam-Sousse, University of Sousse, Tunisia. (Tunisie)
- Yaroub Elloumi, ISITCom Hammam-Sousse, University of Sousse, Tunisia. Medical Technology and Image Processing Laboratory, Univ. of Monastir, Tunisia. (Tunisie)
- Asma Ben Abdallah, Medical Technology and Image Processing Laboratory, Univ. of Monastir, Tunisia. (Tunisia)
- Rostom Kachouri, LIGM, Univ. Gustave Eiffel, CNRS, ESIEE (France)
- Mouhamed hédi Bedoui
16:37 Graph for Transformer Feature: A New Approach for Face Anti-Spoofing
- Quoc-Huy Trinh, University of Science, VNU-HCM (Vietnam)
- Hieu Nguyen, University of Science, VNU-HCM (Vietnam)
- Van Nguyen, University of Science, VNU-HCM (Vietnam)
- Xuan-Mao Nguyen, VNG Corporation (Vietnam)
- Hai-Dang Nguyen, University of Science, VNU-HCM (Vietnam)
16:38 Temporal Ensembling-based Deep k-Nearest Neighbours for Learning with Noisy Labels
- Alexandra-Ioana Albu, Babeș-Bolyai University (Romania)
16:39 Evaluation of Contrastive Learning for Electronic Component Detection
- Leandro Silva, Universidade de Pernambuco - Escola Politécnica de Pernambuco Instituto Federal de Educação Ciência e Tecnologia da Paraíba (IFPB) (Brazil)
- Agostinho Freire, Universidade de Pernambuco - Escola Politécnica de Pernambuco (Brazil)
- Bruno Fernandes, Universidade de Pernambuco - Escola Politécnica de Pernambuco (Brazil)
- George Azevedo, Universidade de Pernambuco (Brazil)
- Sérgio Oliveira, Universidade de Pernambuco - Escola Politécnica de Pernambuco (Brazil)
16:40 Coffee break and poster exhibition
18:45 Visit of the "Halve maan" brewery
19:30 Conference dinner at the "Halve Maan" brewery
Friday, 06.10.2023
09:00 Sequential data, and Meta-learning
09:00 Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point Processes
- Tanguy Bosser, University of Mons, Belgium (Belgium)
- Souhaib Ben Taieb, University of Mons (Belgium)
09:20 A Protocol for Continual Explanation of SHAP
- Andrea Cossu, University of Pisa (Italy)
- Francesco Spinnato, Scuola Normale Superiore (Italy)
- Riccardo Guidotti, University of Pisa (Italia)
- Davide Bacciu, University of Pisa (Italy)
09:40 Residual Reservoir Computing Neural Networks for Time-series Classification
- Claudio Gallicchio, University of Pisa (Italy)
- Andrea Ceni, University of Pisa (Italy)
10:00 Probabilistic Adaptation for Meta-Learning
- Tameem Adel, NPL (United Kingdom)
10:20 Sequential data, and Meta-learning - Poster spotlights
10:20 A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulation.
- Fatoumata Dama, Nantes Digital Science Laboratory (LS2N / UMR CNRS 6004) Nantes University (France)
- Christine Sinoquet, Nantes Digital Science Laboratory (LS2N / UMR CNRS 6004) Nantes University (France)
- Corinne Lejus-Bourdeau, Nantes University Hospital (France)
10:21 Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM
- Giulia Marchello, Université Côte d'Azur (France)
- Marco Corneli, Université Côte d'Azur
- Charles Bouveyron
10:22 Communication-Efficient Ridge Regression in Federated Echo State Networks
- Valerio De Caro, University of Pisa (Italy)
- Antonio Di Mauro, University of Pisa (Italy)
- Davide Bacciu, Università di Pisa (Italy)
- Claudio Gallicchio, University of Pisa (Italy)
10:23 Simultaneous failures classification in a predictive maintenance case
- Antoine Hubermont, UNamur Telespazio Belgium (Belgium)
- elio tuci, University of Namur (Belgium)
- Nicola De Quattro, Telespazio Belgium (Belgium)
10:24 Hybrid modelling of dynamic anaerobic digestion process in full-scale with LSTM NN and BMP measurements
- Alberto Meola, DBFZ Deutsches Biomasseforschungszentrum gGmbH (Germany)
- Sören Weinrich, Münster University of Applied Sciences (Germany)
10:25 Wind Power Prediction with ETSformer
- Oliver Kramer, University of Oldenburg (Germany)
- Jill Baumann, University of Oldenburg (Germany)
10:26 Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?
- Romain Egele, Argonne National Laboratory and Université Paris-Saclay (France)
- Isabelle Guyon, Université Paris-Saclay (France)
- Yixuan Sun, Argonne National Laboratory (United States)
- Prasanna Balaprakash, Oak Ridge National Laboratory (United States)
10:27 Coffee break
10:55 Machine Learning Applied to Sign Language
Organized by: Benoit Frénay, Joni Dambre, Jérôme Fink, Mathieu De Coster
10:55 Trends and Challenges for Sign Language Recognition with Machine Learning
- Jérôme Fink, University of Namur (Belgium)
- Mathieu De Coster, IDLab-AIRO -- Ghent University -- imec (Belgium)
- Joni Dambre, Ghent University - imec - IDLab (Belgium)
- Benoit Frénay, Université de Namur (Belgium)
11:15 Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions
- Fabrizio Nunnari, German Research Center for Artificial Intelligence (DFKI) (Germany)
- Annette Rios, University of Zurich, Department of Computational Linguistics (Switzerland)
- Uwe Reichel, audEERING GmbH (Germany)
- Chirag Bhuvaneshwara, German Research Center for Artificial Intelligence (DFKI), Saarland Informatics Campus, D3.2 (Germany)
- Panagiotis Filntisis, ATHENA Research Center (Greece)
- Petros Maragos, ATHENA Research Center (Greece)
- Felix Burkhardt, audEERING GmbH (Germany)
- Florian Eyben, audEERING GmbH (Germany)
- Björn Schuller, audEERING GmbH (Germany)
- Sarah Ebling, University of Zurich, Department of Computational Linguistics (Switzerland)
11:35 Exploring Strategies for Modeling Sign Language Phonology
- Lee Kezar, University of Southern California (USA)
- Tejas Srinivasan, University of Southern California (United States)
- Riley Carlin, University of Southern California (United States)
- Jesse Thomason, University of Southern California (United States)
- Zed Sevcikova Sehyr, Chapman University (United States)
- Naomi Caselli, Boston University (United States)
11:55 Machine Learning Applied to Sign Language - Poster spotlights
Organized by: Benoit Frénay, Joni Dambre, Jérôme Fink, Mathieu De Coster
11:55 Exploring the Importance of Sign Language Phonology for a Deep Neural Network
- Javier Martinez Rodriguez, Radboud University (Netherlands)
- Martha Larson, Radboud University (Netherlands)
- Louis ten Bosch, Radboud University (Netherlands)
11:56 Large-scale dataset and benchmarking for hand and face detection focused on sign language
- Alvaro Leandro Cavalcante Carneiro, São Paulo State University (Brazil)
- Denis Henrique Pinheiro Salvadeo, São Paulo State University (Brazil)
- Lucas Brito Silva, São Paulo State University (Brazil)
11:57 Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions
- Dinh Nam Pham, German Research Center for Artificial Intelligence (Germany)
- Vera Czehmann, German Research Center for Artificial Intelligence (Germany)
- Eleftherios Avramidis, German Research Center for Artificial Intelligence (Germany)
12:00 Lunch
13:30 Efficient Learning in Spiking Neural Networks
Organized by: Alex Rast, Nigel Crook
13:30 Efficient Learning in Spiking Models
- Alex Rast, Oxford Brookes University (UK)
- Mario Antoine Aoun, Na (Canada)
- Eleni Elia, Oxford Brookes University (United Kingdom)
- Nigel Crook, Oxford Brookes University (UK)
13:50 Spiking neural networks with Hebbian plasticity for unsupervised representation learning
- Naresh Balaji Ravichandran, KTH Royal Institute of Technology (Sweden)
- Anders Lansner, Stockholm University and KTH Royal Institute of Technology (Sweden)
- Pawel Herman, KTH Royal Institute of Technology (Sweden)
14:10 Functional Resonant Synaptic Clusters for Decoding Time-Structured Spike Trains
- Nigel Crook, Oxford Brookes University (UK)
- Alex Rast, Oxford Brookes University (UK)
- Eleni Elia, Oxford Brookes University (United Kingdom)
- Mario Antoine Aoun, Na (Canada)
14:30 Efficient Learning in Spiking Neural Networks - Poster spotlights
Organized by: Alex Rast, Nigel Crook
14:30 Pattern Recognition Spiking Neural Network for Classification of Chinese Characters
- Nicola Russo, University of West London (United Kingdom)
- Wan Yuzhong
- Thomas Madsen
- Konstantin Nikolic, University of West London (UK)
14:31 Energy-efficient detection of a spike sequence
- Louis LE COEUR, Stanford University (USA)
- Nick Riedman, Stanford University
- Saarthak Sarup, Stanford University
- Kwabena Boahen, Stanford University
14:32 Anomaly Detection, and Learning Algorithms
14:32 Anomaly detection in irregular image sequences for concentrated solar power plants
- Sukanya Patra, University of Mons (Belgium)
- Thi Khanh Hien Le, University of Mons (Belgium)
- Souhaib Ben Taieb, University of Mons (Belgium)
14:52 Knowledge Distillation for Anomaly Detection
- Adrian Alan Pol, Princeton University (Switzerland)
- Ekaterina Govorkova, MIT (Switzerland)
- Sonja Gronroos, University of Helsinki (Finland)
- Nadezda Chernyavskaya, CERN (Switzerland)
- Philip Harris
- Maurizio Pierini
- Isobel Ojalvo
- Peter Elmer
15:12 Anomaly Detection, and Learning Algorithms - Poster spotlights
15:12 Comparative study of the synfire chain and ring attractor model for timing in the premotor nucleus in male Zebra Finches
- Fjola Hyseni, University of Bordeaux (France)
- Nicolas Rougier, Inria (France)
- Arthur Leblois, CNRS (France)
15:13 Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection
- Anne-Sophie Collin, Université Catholique de Louvain (Belgique)
- Cyril de Bodt, UCLouvain - ICTEAM (Belgium)
- Dounia Mulders, UCLouvain (Belgium)
- Christophe De Vleeschouwer, UCLouvain (Belgium)
15:14 Variants of Neural Gas for Regression Learning
- Thomas Villmann, Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning (Germany)
- Ronny Schubert, UAS Mittweida - SICIM (Deutschland)
- Marika Kaden, University of Applied Sciences Mittweida, Saxony Institute for Computational Intelligence and Machine Learning (Germany)
15:15 Hybrid Deep Learning-Based Air and Water Quality Prediction Model
- Jungeun Yoon, Andong National University (Republic of Korea)
- Dasong Yu, Andong National University (Republic of Korea)
- youngjae lee, ETRI (South Korea)
15:16 Sleep analysis in a CLIS patient using soft-clustering: a case study
- Sophie Adama, Department of Neuromorphic Information Processing LEIPZIG UNIVERSITY, Germany (Germany)
- Martin Bogdan, Leipzig University (Germany)
15:17 FairBayRank: A Fair Personalized Bayesian Ranker
- Armielle Noulapeu Ngaffo, University of Namur - NaDI - Faculty of Computer Science - PReCISE (Belgium)
- Julien Albert, University of Namur - NaDI - Faculty of Computer Science - PReCISE (Belgium)
- Benoit Frénay, Université de Namur (Belgium)
- Gilles Perrouin, University of Namur - NaDI - Faculty of Computer Science - PReCISE (Belgium)
15:18 Robust and Cheap Safety Measure for Exoskeletal Learning Control with Estimated Uniform PAC (EUPAC)
- Felix Weiske, University of Applied Sciences Leipzig (Germany)
- Jens Jäkel, University of Applied Sciences Leipzig (Germany)
15:19 On Feature Removal for Explainability in Dynamic Environments
- Fabian Fumagalli, CITEC - Bielefeld University (Germany)
- Maximilian Muschalik, LMU Munich (Germany)
- Eyke Hüllermeier, LMU Munich (Germany)
- Barbara Hammer, CITEC - Bielefeld University (Germany)
15:20 Coffee break and poster exhibition
17:00 End of conference