ESANN B

119 papers

YearTitle / Authors
2024"Mental Images" driven classification.
Gianluca Coda, Massimo De Gregorio, Antonio Sorgente, Paolo Vanacore
202432nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024
2024A Deep Double Q-Learning as a SDLS support in solving LABS problem.
Dominik Zurek, Marcin Pietron, Kamil Pietak, Kamil Faber
2024A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft Engines.
Solène Thépaut, Sébastien Razakarivony, Dong Quan Vu, Alfred Bauny
2024A Two-Stage Approach for Implicit Bias Detection in Generative Language Models.
Jeremy Edwards, Renjie Hu, Amaury Lendasse, Alexander Schlager, Peggy Lindner
2024ADLER - An efficient Hessian-based strategy for adaptive learning rate.
Dario Balboni, Davide Bacciu
2024AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras.
Dominik Mairhöfer, Manuel Laufer, Lennart Berkel, Arpad Bischof, Erhardt Barth, Jörg Barkhausen, Thomas Martinetz
2024AI-based algorithm for intrusion detection on a real dataset.
David Esteban Martínez, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Elena Hernández-Pereira, Alejandro Esteban Martínez
2024About Vector Quantization and its Privacy in Federated Learning.
Ronny Schubert, Thomas Villmann
2024Adversarial Training without Hard Labels.
Ammar Al-Najjar, István Megyeri, Márk Jelasity
2024Aeronautic data analysis.
Jérôme Lacaille, Patrick Fabiani, Patricia Besson
2024An Efficient Neural Architecture Search Model for Medical Image Classification.
Lunchen Xie, Eugenio Lomurno, Matteo Gambella, Danilo Ardagna, Manuel Roveri, Matteo Matteucci, Qingjiang Shi
2024Analysis of DNA methylation patterns in cancer samples using SOM.
Ignacio Díaz Blanco, José M. Enguita-Gonzalez, Diego García-Pérez, Abel Alberto Cuadrado Vega, Nuria Valdés, Maria Dolores Chiara-Romero
2024Antagonism between Classification and Reconstruction Processes in Deep Predictive Coding Networks.
Jan Rathjens, Laurenz Wiskott
2024Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms.
Ondrej Podsztavek, Alexander I. Jordan, Pavel Tvrdík, Kai Lars Polsterer
2024CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search.
Antoine Gratia, Hong Liu, Shin'ichi Satoh, Paul Temple, Pierre-Yves Schobbens, Gilles Perrouin
2024Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty.
Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer
2024ChatDT: Simplifying Constraint Integration in Decision Trees.
Abiola Paterne Chokki, Benoît Frénay
2024Clarity: a Deep Ensemble for Visual Counterfactual Explanations.
Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli
2024Constraints as Alternative Learning Objective in Deep Learning.
Quinten Van Baelen, Peter Karsmakers
2024Continual Learning of Deep Neural Networks in The Age of Big Data.
Alexander Gepperth, Timothée Lesort
2024Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification.
Domenico Tortorella, Alessio Micheli
2024Convergence analysis of an inexact gradient method on smooth convex functions.
Pierre Vernimmen, François Glineur
2024Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text.
Nawal Alqurashi, Yuhua Li, Kirill A. Sidorov, David Marshall
2024Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface.
Sébastien Velut, Sylvain Chevallier, Marie-Constance Corsi, Frédéric Dehais
2024Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis.
Miguel Pego Roque, Andreia S. Martins, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos
2024Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanations of LLMs?
Jérémie Bogaert, François-Xavier Standaert
2024Domain Knowledge Integration in Machine Learning Systems - An Introduction.
Marika Kaden, Sascha Saralajew, Thomas Villmann
2024Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding.
Lucas Goené, Siamak Mehrkanoon
2024EEG Source Imaging Enhances Motor Imagery Classification.
Andrés Felipe Soler, Viktor Naas, Amita Giri, Marta Molinas
2024Embodying Language Models in Robot Action.
Connor Gäde, Ozan Özdemir, Cornelius Weber, Stefan Wermter
2024Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group Sizes.
Saba Izadkhah, Banafsheh Rekabdar
2024Enhancing Echo State Networks with Gradient-based Explainability Methods.
Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu
2024Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE.
Pierre Lambert, Edouard Couplet, Cyril de Bodt, John A. Lee
2024Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks.
Jasper Wilfling, Matias Valdenegro-Toro, Marco Zullich
2024Evaluation methodology for disentangled uncertainty quantification on regression models.
Kevin Pasini, Clément Arlotti, Milad Leyli-Abadi, Marc Nabhan, Johanna Baro
2024Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface.
Mithila Packiyanathan, André Torvestad, Marta Molinas, Luis Alfredo Moctezuma
2024Exploring Self-Organizing Maps for Addressing Semantic Impairments.
Jorge Graneri, Sebastián Basterrech, Gerardo Rubino, Eduardo Mizraji
2024Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms.
Loc Tran, Bac Le, Thanh Le
2024Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes.
Simon Lejoly, Arianna Piccialli, Arnaud Mahieux, Ann-Carine Vandaele, Benoît Frénay
2024Feature Learning using Multi-view Kernel Partial Least Squares.
Xinjie Zeng, Qinghua Tao, Johan A. K. Suykens
2024FedHP: Federated Learning with Hyperspherical Prototypical Regularization.
Samuele Fonio, Mirko Polato, Roberto Esposito
2024Federated Learning in a Semi-Supervised Environment for Earth Observation Data.
Bruno Casella, Alessio Barbaro Chisari, Marco Aldinucci, Sebastiano Battiato, Mario Valerio Giuffrida
2024Federated Time Series Classification with ROCKET features.
Bruno Casella, Matthias Jakobs, Marco Aldinucci, Sebastian Buschjäger
2024Few-shot similarity learning for motion classification via electromyography.
Rui Liu, Benjamin Paassen
2024Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts.
Thanh Thi Nguyen, Campbell Wilson, Janis Dalins
2024Forget early exaggeration in t-SNE: early hierarchization preserves global structure.
John A. Lee, Edouard Couplet, Pierre Lambert, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen
2024From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics.
Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images.
Valentin Delchevalerie, Benoît Frénay, Alexandre Mayer
2024Generalizing Convolution to Point Clouds.
Davide Bacciu, Francesco Landolfi
2024Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep Learning.
Jean Pierre Brik López Vargas, Davi Duarte de Paula, Denis Henrique Pinheiro Salvadeo, Emílio Bergamim
2024Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG.
Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler
2024Graph-cut-assisted CNN training for pulmonary embolism segmentation.
Nana Yang, Robin Verschueren, Christophe De Vleeschouwer
2024HDBSCAN for 3-rd order tensor.
Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
2024Human Activity Recognition from Thigh and Wrist Accelerometry.
Alejandro Castellanos Alonso, Antonio M. López, Diego García-Pérez, Diego Álvarez, Juan Carlos Alvarez
2024Hyperbolic Metabolite-Disease Association Prediction.
Domonkos Pogány, Péter Antal
2024Inductive lateral movement detection in enterprise computer networks.
Corentin Larroche
2024Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations.
Anusha Ihalapathirana, Gunjan Chandra, Piia Lavikainen, Pekka Siirtola, Satu Tamminen, Nirzor Talukder, Janne Martikainen, Juha Röning
2024Influence of image encoders and image features transformations in emergent communication.
Bastien Vanderplaetse, Stéphane Dupont, Xavier Siebert
2024Informed Machine Learning for Complex Data.
Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita
2024Informed Machine Learning: Excess Risk and Generalization.
Luca Oneto, Davide Anguita, Sandro Ridella
2024Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation.
Sacha Corbugy, Thibaut Septon, Bruno Dumas, Benoît Frénay
2024Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings.
Diego García-Pérez, Ignacio Díaz Blanco, José María Enguita, Jorge Menéndez, Abel Alberto Cuadrado Vega
2024Interpreting Hybrid AI through Autodecoded Latent Space Entities.
Roland Veen, Christodoulos Hadjichristodoulou, Michael Biehl
2024Invariant Representation Learning for Generalizable Imitation.
Mohamed Khalil Jabri, Panagiotis Papadakis, Ehsan Abbasnejad, Gilles Coppin, Javen Shi
2024Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks.
Yuyan Zhang, Derya Soydaner, Fatemeh Behrad, Lisa Koßmann, Johan Wagemans
2024Joint Entropy Search for Multi-objective Bayesian Optimization with Constraints and Multiple Fidelities.
Daniel Fernández-Sánchez, Daniel Hernández-Lobato
2024LLaMA Tunes CMA-ES.
Oliver Kramer
2024LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables.
Julien Paris, Christine Sinoquet, Fadoua Taia-Alaoui, Corinne Lejus-Bourdeau
2024Large Language Models as Tuning Agents of Metaheuristics.
Alicja Martinek, Szymon Lukasik, Amir H. Gandomi
2024Large-Scale Continuous Structure Learning from Time-Series Data.
Filippo Michelis, Riccardo Massidda, Davide Bacciu
2024Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings.
Antônio de Pádua Braga, Murilo V. F. Menezes, Luiz C. B. Torres
2024Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models.
Nuno Costa, Filipa S. Barros, João J. G. Lima, Rui F. Pinto, André Restivo
2024Leveraging endoscopic data with Contrastive Learning for Crohn's disease detection.
Robin Ghyselinck, Jérôme Fink, Bruno Dumas, Benoît Frénay
2024Leveraging performance-based metadata for designing multi-objective NAS strategies for efficient models in Earth Observation.
Emre Demir, René Traoré, Andrés Camero
2024Lightweight Cross-Modal Representation Learning.
Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024Link prediction heuristics for temporal graph benchmark.
Manuel Dileo, Matteo Zignani
2024Machine Learning Methods for BCI: challenges, pitfalls and promises.
Jaime Riascos, Marta Molinas, Fabien Lotte
2024Machine learning in distributed, federated and non-stationary environments - recent trends.
Mirko Polato, Barbara Hammer, Frank-Michael Schleif
2024Multidimensional CDTW-based features for Parkinson's Disease classification.
Ferhat Attal, Nicolas Khoury, Yacine Amirat
2024Noise Robust One-Class Intrusion Detection on Dynamic Graphs.
Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer
2024On Fb-score and Cost-Consistency in Evaluation of Imbalanced Classification.
Aleksi Avela
2024On the Fine Structure of Drifting Features.
Fabian Hinder, Valerie Vaquet, Barbara Hammer
2024On the Stability of Neural Segmentation in Radiology.
Moritz Wolter, Lokesh Veeramacheneni, Bettina Baeßler, Ulrike I. Attenberger, Barbara D. Wichtmann
2024On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions.
Frederieke Richert, Otavio Citton, Michael Biehl
2024Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning.
Thomas Avé, Matthias Hutsebaut-Buysse, Wei Wei, Kevin Mets
2024Physics-Aware Normalizing Flows: Leveraging Electric Circuit Models in Adversarial Learning.
Benjamin Schindler, Thomas Schmid
2024Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra.
Nikos Gianniotis, Kai L. Polsterer, Iliana Isabel Cortés Pérez
2024Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange.
Sarel Cohen, Manuel Hettich, Philipp Bielefeld, Crispin Schomers, Tobias Friedrich
2024ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery.
Tomasz Michalski, Dawid Rymarczyk, Daniel Barczyk, Bartosz Zielinski
2024Reconstruction of Mammography Projections using Image-to-Image Translation Techniques.
Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu
2024Recurrent Neural Network based Counter Automata.
Sérgio Leal, Luis Fernando Lago-Fernández
2024Reservoir Memory Networks.
Claudio Gallicchio, Andrea Ceni
2024Robustness and Regularization in Hierarchical Re-Basin.
Benedikt Franke, Florian Heinrich, Markus Lange, Arne P. Raulf
2024SAT Instances Generation Using Graph Variational Autoencoders.
Daniel Crowley, Marco Dalla, Barry O'Sullivan, Andrea Visentin
2024SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image Segmentation.
Chuxin Zhang, Ana Maria Barragán-Montero, John A. Lee
2024Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies.
Dennis Gross, Helge Spieker
2024Self-Supervised Learning from Incrementally Drifting Data Streams.
Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer
2024Sequential Continual Pre-Training for Neural Machine Translation.
Niko Dalla Noce, Michele Resta, Davide Bacciu
2024Similarity-Based Zero-Shot Domain Adaptation for Wearables.
Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer
2024Sparse Uncertainty-Informed Sampling from Federated Streaming Data.
Manuel Röder, Frank-Michael Schleif
2024Stable Diffusion Dataset Generation for Downstream Classification Tasks.
Eugenio Lomurno, Matteo D'Oria, Matteo Matteucci
2024T-WinG: Windowing for Temporal Knowledge Graph Completion.
Ngoc-Trung Nguyen, Thanh Vu, Thanh Le
2024Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation.
Davide Di Giusto, Grégoire Boussu, Simon Alix, Céline Reverdy, Mathieu Riou, Teodora Petrisor
2024Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites.
Asli Çelik, Oguzhan Urhan, Andrea Cossu, Vincenzo Lomonaco
2024Towards Explainable Evolution Strategies with Large Language Models.
Jill Baumann, Oliver Kramer
2024Towards calibration-free online EEG motor imagery decoding using Deep Learning.
Martin Wimpff, Jan Zerfowski, Bin Yang
2024Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets.
Nicolò Navarin, Luca Pasa, Alessandro Sperduti
2024Transfer learning to minimize the predictive risk in clinical research.
Samuel Branders, Jérôme Paul, Arthur Ooghe, Álvaro Pereira
2024Trust in Artificial Intelligence: Beyond Interpretability.
Tassadit Bouadi, Benoît Frénay, Luis Galárraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin
2024Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics.
José M. Enguita-Gonzalez, Diego García-Pérez, Abel Alberto Cuadrado Vega, Daniel García-Peña, José Ramón Rodríguez-Ossorio, Ignacio Díaz Blanco
2024Tumor Grading via Decorrelated Sparse Survival Regression.
Benjamin Paassen, Nadine T. Gaisa, Michael Rose, Mark-Sebastian Bösherz
2024Unpaired Image-to-Image Translation to Improve Log End Identification.
Dag Björnberg, Morgan Ericsson, Welf Löwe, Jonas Nordqvist
2024Unsupervised Drift Detection Using Quadtree Spatial Mapping.
Bernardo A. Ramos, Cristiano Leite de Castro, Tiago A. Coelho, Plamen Angelov
2024Unveiling Dreams: Moving Towards Automatic Dream Decoding via PSD-Based EEG Analysis and Machine Learning.
André Torvestad, Mithila Packiyanathan, Luis Alfredo Moctezuma, Marta Molinas
2024Vision Language Models as Policy Learners in Reinforcement Learning Environments.
Giovanni Bonetta, Davide Zago, Rossella Cancelliere, Mirko Polato, Bernardo Magnini
2024Visualizing and Improving 3D Mesh Segmentation with DeepView.
Andreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz, Barbara Hammer
2024Why long model-based rollouts are no reason for bad Q-value estimates.
Philipp Wissmann, Daniel Hein, Steffen Udluft, Volker Tresp
2024XAI and Bias of Deep Graph Networks.
Michele Fontanesi, Alessio Micheli, Marco Podda