Table of Contents

• Hyperbolic Metabolite-Disease Association PredictionDomonkos Pogány, Péter Antal. [doi]
• Aeronautic data analysisJérôme Lacaille, Patrick Fabiani, Patricia Besson. [doi]
• SAT Instances Generation Using Graph Variational AutoencodersDaniel Crowley, Marco Dalla, Barry O'Sullivan, Andrea Visentin. [doi]
• Trustworthiness Score for Echo State Networks by Analysis of the Reservoir DynamicsJosé M. Enguita-Gonzalez, Diego García-Pérez, Abel Alberto Cuadrado Vega, Daniel García-Peña, José Ramón Rodríguez-Ossorio, Ignacio Díaz Blanco. [doi]
• Inductive lateral movement detection in enterprise computer networksCorentin Larroche. [doi]
• Antagonism between Classification and Reconstruction Processes in Deep Predictive Coding NetworksJan Rathjens, Laurenz Wiskott. [doi]
• A Deep Double Q-Learning as a SDLS support in solving LABS problemDominik Zurek. [doi]
• Stable Diffusion Dataset Generation for Downstream Classification TasksEugenio Lomurno, Matteo D'Oria, Matteo Matteucci. [doi]
• Sparse Uncertainty-Informed Sampling from Federated Streaming DataManuel Röder, Frank-Michael Schleif. [doi]
• Continual Learning with Graph Reservoirs: Preliminary experiments in graph classificationDomenico Tortorella, Alessio Micheli. [doi]
• Exploring Self-Organizing Maps for Addressing Semantic ImpairmentsJorge Graneri, Sebastián Basterrech, Gerardo Rubino, Eduardo Mizraji. [doi]
• LLaMA Tunes CMA-ESOliver Kramer 0001. [doi]
• Adversarial Training without Hard LabelsAmmar Al-Najjar, István Megyeri, Márk Jelasity. [doi]
• Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep LearningJean Pierre Brik López Vargas, Davi Duarte de Paula, Denis Henrique Pinheiro Salvadeo, Emílio Bergamim. [doi]
• HDBSCAN for 3-rd order tensorDina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah. [doi]
• Vision Language Models as Policy Learners in Reinforcement Learning EnvironmentsGiovanni Bonetta, Davide Zago, Rossella Cancelliere, Mirko Polato, Bernardo Magnini. [doi]
• Machine learning in distributed, federated and non-stationary environments - recent trendsMirko Polato, Barbara Hammer, Frank-Michael Schleif. [doi]
• Informed Machine Learning for Complex DataLuca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita. [doi]
• Online Adaptation of Compressed Models by Pre-Training and Task-Relevant PruningThomas Avé, Matthias Hutsebaut-Buysse, Wei Wei, Kevin Mets. [doi]
• FedHP: Federated Learning with Hyperspherical Prototypical RegularizationSamuele Fonio, Mirko Polato, Roberto Esposito. [doi]
• Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanations of LLMs?Jérémie Bogaert, François-Xavier Standaert. [doi]
• A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft EnginesSolène Thépaut, Sébastien Razakarivony, Dong Quan Vu, Alfred Bauny. [doi]
• Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral SclerosisMiguel Pego Roque, Andreia S. Martins, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos. [doi]
• Link prediction heuristics for temporal graph benchmarkManuel Dileo, Matteo Zignani. [doi]
• Leveraging performance-based metadata for designing multi-objective NAS strategies for efficient models in Earth ObservationEmre Demir, René Traoré, Andrés Camero. [doi]
• Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge DatasetsNicolò Navarin, Luca Pasa, Alessandro Sperduti. [doi]
• AI-based algorithm for intrusion detection on a real datasetDavid Esteban Martínez, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Elena Hernández-Pereira, Alejandro Esteban Martínez. [doi]
• Robustness and Regularization in Hierarchical Re-BasinBenedikt Franke, Florian Heinrich, Markus Lange, Arne P. Raulf. [doi]
• Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group SizesSaba Izadkhah, Banafsheh Rekabdar. [doi]
• Towards Explainable Evolution Strategies with Large Language ModelsJill Baumann, Oliver Kramer 0001. [doi]
• Similarity-Based Zero-Shot Domain Adaptation for WearablesMarkus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer. [doi]
• Feature Learning using Multi-view Kernel Partial Least SquaresXinjie Zeng, Qinghua Tao, Johan A. K. Suykens. [doi]
• Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) HistogramsOndrej Podsztavek, Alexander I. Jordan, Pavel Tvrdík, Kai Lars Polsterer. [doi]
• Investigating the Gestalt Principle of Closure in Deep Convolutional Neural NetworksYuyan Zhang, Derya Soydaner, Fatemeh Behrad, Lisa Koßmann, Johan Wagemans. [doi]
• Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic MechanismsLoc Tran, Bac Le, Thanh Le 0001. [doi]
• A Two-Stage Approach for Implicit Bias Detection in Generative Language ModelsJeremy Edwards, Renjie Hu, Amaury Lendasse, Alexander Schlager, Peggy Lindner. [doi]
• Few-shot similarity learning for motion classification via electromyographyRui Liu, Benjamin Paassen. [doi]
• Physics-Aware Normalizing Flows: Leveraging Electric Circuit Models in Adversarial LearningBenjamin Schindler, Thomas Schmid 0003. [doi]
• Predicting the Closing Cross Auction Results at the NASDAQ Stock ExchangeSarel Cohen, Manuel Hettich, Philipp Bielefeld, Crispin Schomers, Tobias Friedrich 0001. [doi]
• Embodying Language Models in Robot ActionConnor Gäde, Ozan Özdemir, Cornelius Weber, Stefan Wermter. [doi]
• AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight CamerasDominik Mairhöfer, Manuel Laufer, Lennart Berkel, Arpad Bischof, Erhardt Barth, Jörg Barkhausen, Thomas Martinetz. [doi]
• ADLER - An efficient Hessian-based strategy for adaptive learning rateDario Balboni, Davide Bacciu. [doi]
• SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image SegmentationChuxin Zhang, Ana Maria Barragán-Montero, John A. Lee 0001. [doi]
• Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer InterfaceSébastien Velut, Sylvain Chevallier, Marie-Constance Corsi, Frédéric Dehais. [doi]
• Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural NetworksJasper Wilfling, Matias Valdenegro-Toro, Marco Zullich. [doi]
• Clarity: a Deep Ensemble for Visual Counterfactual ExplanationsClaire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli. [doi]
• Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEGShanglin Li, Motoaki Kawanabe, Reinmar J. Kobler. [doi]
• Evaluation methodology for disentangled uncertainty quantification on regression modelsKevin Pasini, Clément Arlotti, Milad Leyli-Abadi, Marc Nabhan, Johanna Baro. [doi]
• Safety-Oriented Pruning and Interpretation of Reinforcement Learning PoliciesDennis Gross, Helge Spieker. [doi]
• Domain Knowledge Integration in Machine Learning Systems - An IntroductionMarika Kaden, Sascha Saralajew, Thomas Villmann. [doi]
• Unveiling Dreams: Moving Towards Automatic Dream Decoding via PSD-Based EEG Analysis and Machine LearningAndré Torvestad, Mithila Packiyanathan, Luis Alfredo Moctezuma, Marta Molinas. [doi]
• Lightweight Cross-Modal Representation LearningBilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra. [doi]
• Continual Learning of Deep Neural Networks in The Age of Big DataAlexander Gepperth, Timothée Lesort. [doi]
• On the Fine Structure of Drifting FeaturesFabian Hinder, Valerie Vaquet, Barbara Hammer. [doi]
• Joint Entropy Search for Multi-objective Bayesian Optimization with Constraints and Multiple FidelitiesDaniel Fernández-Sánchez, Daniel Hernández-Lobato. [doi]
• LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variablesJulien Paris, Christine Sinoquet, Fadoua Taia-Alaoui, Corinne Lejus-Bourdeau. [doi]
• Reservoir Memory NetworksClaudio Gallicchio, Andrea Ceni. [doi]
• From Three to Two Dimensions: 2D Quaternion Convolutions for 3D ImagesValentin Delchevalerie, Benoît Frénay, Alexandre Mayer. [doi]
• Influence of image encoders and image features transformations in emergent communicationBastien Vanderplaetse, Stéphane Dupont, Xavier Siebert. [doi]
• Leveraging endoscopic data with Contrastive Learning for Crohn's disease detectionRobin Ghyselinck, Jérôme Fink, Bruno Dumas, Benoît Frénay. [doi]
• Unpaired Image-to-Image Translation to Improve Log End IdentificationDag Björnberg, Morgan Ericsson, Welf Löwe, Jonas Nordqvist. [doi]
• From Data to Simulation: Capturing Aircraft Engine Degradation DynamicsAbdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille. [doi]
• "Mental Images" driven classificationGianluca Coda, Massimo De Gregorio, Antonio Sorgente, Paolo Vanacore. [doi]
• Enhancing Echo State Networks with Gradient-based Explainability MethodsFrancesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu. [doi]
• Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting ModelsNuno Costa, Filipa S. Barros, João J. G. Lima, Rui F. Pinto, André Restivo. [doi]
• Multidimensional CDTW-based features for Parkinson's Disease classificationFerhat Attal, Nicolas Khoury, Yacine Amirat. [doi]
• Convergence analysis of an inexact gradient method on smooth convex functionsPierre Vernimmen, François Glineur. [doi]
• About Vector Quantization and its Privacy in Federated LearningRonny Schubert, Thomas Villmann. [doi]
• Unsupervised Drift Detection Using Quadtree Spatial MappingBernardo A. Ramos, Cristiano Leite de Castro, Tiago A. Coelho, Plamen Angelov 0001. [doi]
• Sequential Continual Pre-Training for Neural Machine TranslationNiko Dalla Noce, Michele Resta, Davide Bacciu. [doi]
• Federated Learning in a Semi-Supervised Environment for Earth Observation DataBruno Casella, Alessio Barbaro Chisari, Marco Aldinucci, Sebastiano Battiato, Mario Valerio Giuffrida. [doi]
• Insight-SNE: Understanding t-SNE Embeddings through Interactive ExplanationSacha Corbugy, Thibaut Septon, Bruno Dumas, Benoît Frénay. [doi]
• Trust in Artificial Intelligence: Beyond InterpretabilityTassadit Bouadi, Benoît Frénay, Luis Galárraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin. [doi]
• EEG Source Imaging Enhances Motor Imagery ClassificationAndrés Felipe Soler, Viktor Naas, Amita Giri, Marta Molinas. [doi]
• Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic UncertaintyJohannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer. [doi]
• Tumor Grading via Decorrelated Sparse Survival RegressionBenjamin Paassen, Nadine T. Gaisa, Michael Rose, Mark-Sebastian Bösherz. [doi]
• Reconstruction of Mammography Projections using Image-to-Image Translation TechniquesJoana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu. [doi]
• Large Language Models as Tuning Agents of MetaheuristicsAlicja Martinek, Szymon Lukasik, Amir H. Gandomi. [doi]
• Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian ProcessesSimon Lejoly, Arianna Piccialli, Arnaud Mahieux, Ann-Carine Vandaele, Benoît Frénay. [doi]
• Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential BuildingsDiego García-Pérez, Ignacio Díaz Blanco, José María Enguita, Jorge Menéndez, Abel Alberto Cuadrado Vega. [doi]
• Self-Supervised Learning from Incrementally Drifting Data StreamsValerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer. [doi]
• XAI and Bias of Deep Graph NetworksMichele Fontanesi, Alessio Micheli, Marco Podda. [doi]
• On the Stability of Neural Segmentation in RadiologyMoritz Wolter, Lokesh Veeramacheneni, Bettina Baeßler, Ulrike I. Attenberger, Barbara D. Wichtmann. [doi]
• Forget early exaggeration in t-SNE: early hierarchization preserves global structureJohn A. Lee 0001, Edouard Couplet, Pierre Lambert, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen. [doi]
• T-WinG: Windowing for Temporal Knowledge Graph CompletionNgoc-Trung Nguyen, Thanh Vu, Thanh Le. [doi]
• Recurrent Neural Network based Counter AutomataSérgio Leal, Luis Fernando Lago-Fernández. [doi]
• Learning Kernel Parameters for Support Vector Classification Using Similarity EmbeddingsAntônio de Pádua Braga, Murilo V. F. Menezes, Luiz C. B. Torres. [doi]
• Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNEPierre Lambert, Edouard Couplet, Cyril de Bodt, John A. Lee 0001. [doi]
• Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working SitesAsli Çelik, Oguzhan Urhan, Andrea Cossu, Vincenzo Lomonaco. [doi]
• Graph-cut-assisted CNN training for pulmonary embolism segmentationNana Yang, Robin Verschueren, Christophe De Vleeschouwer. [doi]
• Constraints as Alternative Learning Objective in Deep LearningQuinten Van Baelen, Peter Karsmakers. [doi]
• Analysis of DNA methylation patterns in cancer samples using SOMIgnacio Díaz Blanco, José M. Enguita-Gonzalez, Diego García-Pérez, Abel Alberto Cuadrado Vega, Nuria Valdés, Maria Dolores Chiara-Romero. [doi]
• Noise Robust One-Class Intrusion Detection on Dynamic GraphsAleksei Liuliakov, Alexander Schulz 0001, Luca Hermes, Barbara Hammer. [doi]
• On Fb-score and Cost-Consistency in Evaluation of Imbalanced ClassificationAleksi Avela. [doi]
• Large-Scale Continuous Structure Learning from Time-Series DataFilippo Michelis, Riccardo Massidda, Davide Bacciu. [doi]
• Informed Machine Learning: Excess Risk and GeneralizationLuca Oneto, Davide Anguita, Sandro Ridella. [doi]
• Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanationsAnusha Ihalapathirana, Gunjan Chandra, Piia Lavikainen, Pekka Siirtola, Satu Tamminen, Nirzor Talukder, Janne Martikainen, Juha Röning. [doi]
• On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation FunctionsFrederieke Richert, Otavio Citton, Michael Biehl. [doi]
• Towards Contrail Mitigation through Robust and Frugal AI-Driven Data ExploitationDavide Di Giusto, Grégoire Boussu, Simon Alix, Céline Reverdy, Mathieu Riou, Teodora Petrisor. [doi]
• Generalizing Convolution to Point CloudsDavide Bacciu, Francesco Landolfi. [doi]
• Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and textNawal Alqurashi, Yuhua Li 0001, Kirill A. Sidorov, David Marshall 0001. [doi]
• Federated Time Series Classification with ROCKET featuresBruno Casella, Matthias Jakobs, Marco Aldinucci, Sebastian Buschjäger. [doi]
• An Efficient Neural Architecture Search Model for Medical Image ClassificationLunchen Xie, Eugenio Lomurno, Matteo Gambella, Danilo Ardagna, Manuel Roveri, Matteo Matteucci, Qingjiang Shi. [doi]
• Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical SpectraNikos Gianniotis, Kai L. Polsterer, Iliana Isabel Cortés Pérez. [doi]
• ProtoNCD: Prototypical Parts for Interpretable Novel Class DiscoveryTomasz Michalski, Dawid Rymarczyk, Daniel Barczyk, Bartosz Zielinski 0001. [doi]
• Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive TextsThanh Thi Nguyen, Campbell Wilson, Janis Dalins. [doi]
• Interpreting Hybrid AI through Autodecoded Latent Space EntitiesRoland Veen, Christodoulos Hadjichristodoulou, Michael Biehl. [doi]
• Transfer learning to minimize the predictive risk in clinical researchSamuel Branders, Jérôme Paul, Arthur Ooghe, Álvaro Pereira. [doi]
• Invariant Representation Learning for Generalizable ImitationMohamed Khalil Jabri, Panagiotis Papadakis, Ehsan Abbasnejad, Gilles Coppin, Javen Shi. [doi]
• Why long model-based rollouts are no reason for bad Q-value estimatesPhilipp Wissmann, Daniel Hein 0001, Steffen Udluft, Volker Tresp. [doi]
• CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture SearchAntoine Gratia, Hong Liu 0009, Shin'ichi Satoh 0001, Paul Temple, Pierre-Yves Schobbens, Gilles Perrouin. [doi]
• Human Activity Recognition from Thigh and Wrist AccelerometryAlejandro Castellanos Alonso, Antonio M. López 0002, Diego García-Pérez, Diego Álvarez, Juan Carlos Alvarez. [doi]
• Dual Stream Graph Transformer Fusion Networks for Enhanced Brain DecodingLucas Goené, Siamak Mehrkanoon. [doi]
• Towards calibration-free online EEG motor imagery decoding using Deep LearningMartin Wimpff, Jan Zerfowski, Bin Yang 0009. [doi]
• Visualizing and Improving 3D Mesh Segmentation with DeepViewAndreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz 0001, Barbara Hammer. [doi]
• Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer InterfaceMithila Packiyanathan, André Torvestad, Marta Molinas, Luis Alfredo Moctezuma. [doi]
• ChatDT: Simplifying Constraint Integration in Decision TreesAbiola Paterne Chokki, Benoît Frénay. [doi]
• Machine Learning Methods for BCI: challenges, pitfalls and promisesJaime Riascos, Marta Molinas, Fabien Lotte. [doi]