Table of Contents

• Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark SelectionMaximilian Münch, Katrin Sophie Bohnsack, Alexander Engelsberger, Frank-Michael Schleif, Thomas Villmann. [doi]
• Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and InterpretabilityIndro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane. [doi]
• Sleep analysis in a CLIS patient using soft-clustering: a case studySophie Adama, Martin Bogdan. [doi]
• On Feature Removal for Explainability in Dynamic EnvironmentsFabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer. [doi]
• Hidden Markov Models for Temporal Graph Representation LearningFederico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli. [doi]
• A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulationFatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau. [doi]
• Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash. [doi]
• Learning with Boosting Decision Stumps for Feature Selection in Evolving Data StreamsDaniel Nowak Assis. [doi]
• Is Boredom an Indicator on the way to Singularity of Artificial Intelligence? Hypotheses as Thought-Provoking ImpulseMartin Bogdan. [doi]
• Fine-tuning is not (always) overfitting artifactsJérémie Bogaert, Emmanuel Jean, Cyril de Bodt, François-Xavier Standaert. [doi]
• Mixture of stochastic block models for multiview clusteringKylliann De Santiago, Marie Szafranski, Christophe Ambroise. [doi]
• Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point ProcessesTanguy Bosser, Souhaib Ben Taieb. [doi]
• Graph Representation LearningDavide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon. [doi]
• Secure Federated Learning with Kernel Affine Hull MachinesMohit Kumar 0001, Bernhard Moser 0001, Lukas Fischer 0001. [doi]
• Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth ActionsDinh Nam Pham, Vera Czehmann, Eleftherios Avramidis. [doi]
• Residual Reservoir Computing Neural Networks for Time-series ClassificationClaudio Gallicchio, Andrea Ceni. [doi]
• Simultaneous failures classification in a predictive maintenance caseAntoine Hubermont, Elio Tuci, Nicola De Quattro. [doi]
• Communication-Efficient Ridge Regression in Federated Echo State NetworksValerio De Caro, Antonio Di Mauro, Davide Bacciu, Claudio Gallicchio. [doi]
• Logarithmic division for green feature selection: an information-theoretic approachSamuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo. [doi]
• Hierarchical priors for Hyperspherical Prototypical NetworksSamuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito. [doi]
• Richness of Node Embeddings in Graph Echo State NetworksDomenico Tortorella, Alessio Micheli. [doi]
• DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL SafetyAndré Correia, Luís A. Alexandre. [doi]
• Automated green machine learning for condition-based maintenanceAfonso Lourenço, Carolina Ferraz, Jorge Meira, Goreti Marreiros, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. [doi]
• On Instance Weighted Clustering EnsemblesPaul Moggridge, Na Helian, Yi Sun 0001, Mariana Lilley. [doi]
• Retinal blood vessel segmentation from high resolution fundus image using deep learning architectureHenda Boudegga, Yaroub Elloumi, Asma Ben Abdallah, Rostom Kachouri, Mouhamed Hédi Bedoui. [doi]
• Efficient Knowledge Aggregation Methods for Weightless Neural NetworksOtávio Oliveira Napoli, Ana Maria de Almeida 0002, José Miguel Sales Dias, Luís Brás Rosário, Edson Borin, Maurício Breternitz Jr.. [doi]
• Wind Power Prediction with ETSformerOliver Kramer 0001, Jill Baumann. [doi]
• Large-scale dataset and benchmarking for hand and face detection focused on sign languageAlvaro Leandro Cavalcante Carneiro, Denis Henrique Pinheiro Salvadeo, Lucas de Brito Silva. [doi]
• Potential analysis of a Quantum RL controller in the context of autonomous drivingM. Lautaro Hickmann, Arne P. Raulf, Frank Köster, Friedhelm Schwenker, Hans-Martin Rieser. [doi]
• Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining RobustnessMaura Pintor, Ambra Demontis, Battista Biggio. [doi]
• Logarithmic Quantum ForkingAlessandro Berti. [doi]
• SOM-based Classification and a Novel Stopping Criterion for Astroparticle ApplicationsLuis Sanchez, Erzsébet Merényi, Christopher Tunnell. [doi]
• Rethink the Effectiveness of Text Data Augmentation: An Empirical AnalysisZhengxiang Shi, Aldo Lipani. [doi]
• Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detectionAnne-Sophie Collin, Cyril de Bodt, Dounia Mulders, Christophe De Vleeschouwer. [doi]
• Similarity versus Supervision: Best Approaches for HS Code PredictionSédrick Stassin, Otmane Amel, Sidi Ahmed Mahmoudi, Xavier Siebert. [doi]
• Improving Fairness via Intrinsic Plasticity in Echo State NetworksAndrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto. [doi]
• Temporal Ensembling-based Deep k-Nearest Neighbours for Learning with Noisy LabelsAlexandra-Ioana Albu. [doi]
• Graph-based Categorical EmbeddingWeiwei Wang, Stefano Bromuri, Michel Dumontier. [doi]
• Feature Selection for Concept Drift DetectionFabian Hinder, Barbara Hammer. [doi]
• Hybrid modelling of dynamic anaerobic digestion process in full-scale with LSTM NN and BMP measurementsAlberto Meola, Sören Weinrich. [doi]
• Exploring Strategies for Modeling Sign Language PhonologyLee Kezar, Tejas Srinivasan, Riley Carlin, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli. [doi]
• Efficient Learning in Spiking ModelsAlex Rast, Mario Antoine Aoun, Eleni Elia, Nigel T. Crook. [doi]
• Introducing Convolutional Channel-wise Goodness in Forward-Forward LearningAndreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou, Theocharis Theocharides. [doi]
• TabSRA: An Attention based Self-Explainable Model for Tabular LearningKodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre. [doi]
• Improving Fast Minimum-Norm Attacks with Hyperparameter OptimizationGiorgio Piras, Giuseppe Floris, Raffaele Mura, Luca Scionis, Maura Pintor, Battista Biggio, Ambra Demontis. [doi]
• Quantum Artificial Intelligence: A tutorialJosé D. Martín-Guerrero, Lucas Lamata, Thomas Villmann. [doi]
• CRE: Circle relationship embedding of patches in vision transformerZhengyang Yu, Jochen Triesch. [doi]
• Language Modeling in Logistics: Customer Calling PredictionXi Chen, Giacomo Anerdi, Daniel Stanley Tan, Stefano Bromuri. [doi]
• Multi-Fidelity Reinforcement Learning with Control VariatesSami Khairy, Prasanna Balaprakash. [doi]
• Sun Tracking using a Weightless Q-Learning Neural NetworkGuilherme Souza, Priscila Lima 0001, Felipe M. G. França. [doi]
• On the number of latent representations in deep neural networks for tabular dataEdouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee 0001, Cyril de Bodt. [doi]
• A Protocol for Continual Explanation of SHAPAndrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu. [doi]
• Knowledge Distillation for Anomaly DetectionAdrian Alan Pol, Ekaterina Govorkova, Sonja Grönroos, Nadezda Chernyavskaya, Philip C. Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer. [doi]
• Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noiseFelipe Contreras, Kerstin Bunte, Reynier Peletier. [doi]
• Performance Evaluation of Activation Functions in Extreme Learning MachineKarol Struniawski, Aleksandra Konopka, Ryszard Kozera. [doi]
• Feature Selection for Multi-label Classification with Minimal Learning MachineJoakim Linja, Joonas Hämäläinen, Tommi Kärkkäinen. [doi]
• Don't waste SAMNermeen Abou Baker, Uwe Handmann. [doi]
• Automatic Trade-off Adaptation in Offline RLPhillip Swazinna, Steffen Udluft, Thomas A. Runkler. [doi]
• Quantum Feature Selection with Variance EstimationAlessandro Poggiali, Anna Bernasconi 0001, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti. [doi]
• Deep dynamic co-clustering of streams of count data: a new online Zip-dLBMGiulia Marchello, Marco Corneli, Charles Bouveyron. [doi]
• Action-Based ADHD Diagnosis in VideoYichun Li, Yuxing Yang, Rajesh Nair, Syed Mohsen Naqvi. [doi]
• Comparative study of the synfire chain and ring attractor model for timing in the premotor nucleus in male Zebra FinchesFjola Hyseni, Nicolas P. Rougier, Arthur Leblois. [doi]
• Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggerationPierre Lambert, John A. Lee 0001, Edouard Couplet, Cyril de Bodt. [doi]
• Derivative-Free Optimization Approaches for Force Polytopes PredictionGautier Laisné, Nasser Rezzoug, Jean Marc Salotti. [doi]
• Learning Vector Quantization in Context of Information Bottleneck TheoryMehrdad Mohannazadeh Bakhtiari, Daniel Staps, Thomas Villmann. [doi]
• A Tropical View of Graph Neural NetworksFrancesco Landolfi, Davide Bacciu, Danilo Numeroso. [doi]
• Functional Resonant Synaptic Clusters for Decoding Time-Structured Spike TrainsNigel T. Crook, Alex Rast, Eleni Elia, Mario Antoine Aoun. [doi]
• End-to-End Neural Network Training for Hyperbox-Based ClassificationDenis Martins 0001, Christian Lülf, Fabian Gieseke. [doi]
• Multispectral Texture Classification in AgricultureMariya Shumska, Kerstin Bunte. [doi]
• Coordinate descent on the Stiefel manifold for deep neural network trainingEstelle M. Massart, Vinayak Abrol. [doi]
• Variants of Neural Gas for Regression LearningThomas Villmann, Ronny Schubert, Marika Kaden. [doi]
• A model-based approach to meta-Reinforcement Learning: Transformers and tree searchBrieuc Pinon, Raphaël M. Jungers, Jean-Charles Delvenne. [doi]
• Anomaly detection in irregular image sequences for concentrated solar power plantsSukanya Patra, Le Thi Khanh Hien, Souhaib Ben Taieb. [doi]
• Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor ShiftsValerie Vaquet, Johannes Brinkrolf, Barbara Hammer. [doi]
• Energy-efficient detection of a spike sequenceLouis Le Coeur, Nick Riedman, Saarthak Sarup, Kwabena Boahen 0001. [doi]
• Towards Randomized Algorithms and Models that We Can Trust: a Theoretical PerspectiveLuca Oneto, Sandro Ridella, Davide Anguita. [doi]
• Spiking neural networks with Hebbian plasticity for unsupervised representation learningNaresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman. [doi]
• Multimodal Approach for Harmonized System Code PredictionOtmane Amel, Sédrick Stassin, Sidi Ahmed Mahmoudi, Xavier Siebert. [doi]
• Entropy Based Regularization Improves Performance in the Forward-Forward AlgorithmMatteo Pardi, Domenico Tortorella, Alessio Micheli. [doi]
• Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect PredictionLuis H. M. Torres, Bernardete Ribeiro, Joel Arrais. [doi]
• Evaluating Curriculum Learning Strategies for Pancreatic Cancer PredictionEduardo Mosqueira-Rey, David Vázquez-Lema, Elena Hernández-Pereira. [doi]
• Layered Neural Networks with GELU Activation, a Statistical Mechanics AnalysisFrederieke Richert, Michiel Straat, Elisa Oostwal, Michael Biehl. [doi]
• Improving the DRASiW performance by exploiting its own "Mental Images"Gianluca Coda, Massimo De Gregorio, Antonio Sorgente, Paolo Vanacore. [doi]
• Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA)Michael Biehl, Sofie Lövdal. [doi]
• Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body MeasurementsHelen Schneider, David Biesner, Akash Ashokan, Maximilian Broß, Rebecca Kador, Sandra Halscheidt, Gabor Bagyo, Peter Dankerl, Haissam Ragab, Jin Yamamura, Christoph Labisch, Rafet Sifa. [doi]
• A Counterexample to Ockham's Razor and the Curse of Dimensionality: Marginalising Complexity and Dimensionality for GMMsBenoît Frénay. [doi]
• FairBayRank: A Fair Personalized Bayesian RankerArmielle Noulapeu Ngaffo, Julien Albert, Benoît Frénay, Gilles Perrouin. [doi]
• Probabilistic Adaptation for Meta-LearningTameem Adel. [doi]
• Exploring the Importance of Sign Language Phonology for a Deep Neural NetworkJavier Martinez Rodriguez, Martha A. Larson, Louis ten Bosch. [doi]
• Graph for Transformer Feature: A New Approach for Face Anti-SpoofingQuoc-Huy Trinh, Hieu Nguyen, Van Nguyen, Xuan Mao Nguyen, Hai Dang Nguyen. [doi]
• Green Machine LearningVerónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos. [doi]
• Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors GameMali Imre Gergely, Gabriela Czibula. [doi]
• Hybrid Deep Learning-Based Air and Water Quality Prediction ModelJungeun Yoon, Dasong Yu, Youngjae Lee. [doi]
• An Empirical Study of Over-Parameterized Neural Models based on Graph Random FeaturesNicolò Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti. [doi]
• Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancerAna Maria Barragán-Montero, Robin Tilman, Margerie Huet-Dastarac, John A. Lee 0001. [doi]
• Real-time Detection of Evoked Potentials by Deep Learning: a Case StudyLeonardo Amato, Marta Maschietto, Alessandro Leparulo, Mattia Tambaro, Stefano Vassanelli, Alessandro Sperduti. [doi]
• Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial ExpressionsFabrizio Nunnari, Annette Rios, Uwe Reichel, Chirag Bhuvaneshwara, Panagiotis Paraskevas Filntisis, Petros Maragos, Felix Burkhardt, Florian Eyben, Björn W. Schuller, Sarah Ebling. [doi]
• Robust and Cheap Safety Measure for Exoskeletal Learning Control with Estimated Uniform PAC (EUPAC)Felix Weiske, Jens Jäkel. [doi]
• FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormerThanh Vu, Huy Ngo, Bac Le, Thanh Le 0001. [doi]
• Adversarial Auditing of Machine Learning Models under Compound ShiftKaran Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett. [doi]
• Pattern Recognition Spiking Neural Network for Classification of Chinese CharactersNicola Russo, Yuzhong Wan, Thomas Madsen, Konstantin Nikolic. [doi]
• Quantum-ready vector quantization: Prototype learning as a binary optimization problemAlexander Engelsberger, Thomas Villmann. [doi]
• Evaluation of Contrastive Learning for Electronic Component DetectionLeandro H. de S. Silva, Agostinho A. F. Júnior, Bruno J. T. Fernandes, George O. de A. Azevedo, Sergio C. Oliveira. [doi]
• Efficient feature selection for domain adaptation using Mutual Information MaximizationGuillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo. [doi]
• On the Limitations of Model Stealing with Uncertainty Quantification ModelsDavid Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr. [doi]
• Trends and Challenges for Sign Language Recognition with Machine LearningJérôme Fink, Mathieu De Coster, Joni Dambre, Benoît Frénay. [doi]
• On Transformer Autoregressive Decoding for Multivariate Time Series ForecastingMohammed Aldosari, John A. Miller 0001. [doi]
• Enhancing Evolution Strategies with Evolution Path BiasOliver Kramer 0001. [doi]
• Mitigating Robustness Bias: Theoretical Results and Empirical EvidencesDanilo Franco, Luca Oneto, Davide Anguita. [doi]
• WiSARD-based Ensemble LearningLeopoldo Lusquino Filho, Felipe M. G. França, Priscila Lima 0001. [doi]
• An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet DetectionHazan Daglayan, Simon Vary, Pierre-Antoine Absil. [doi]