| 2023 | 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2023, Bruges, Belgium, October 4-6, 2023 |
| 2023 | A Counterexample to Ockham's Razor and the Curse of Dimensionality: Marginalising Complexity and Dimensionality for GMMs. Benoît Frénay |
| 2023 | A Protocol for Continual Explanation of SHAP. Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu |
| 2023 | A Tropical View of Graph Neural Networks. Francesco Landolfi, Davide Bacciu, Danilo Numeroso |
| 2023 | A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulation. Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau |
| 2023 | A model-based approach to meta-Reinforcement Learning: Transformers and tree search. Brieuc Pinon, Raphaël M. Jungers, Jean-Charles Delvenne |
| 2023 | Action-Based ADHD Diagnosis in Video. Yichun Li, Yuxing Yang, Rajesh Nair, Syed Mohsen Naqvi |
| 2023 | Adversarial Auditing of Machine Learning Models under Compound Shift. Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett |
| 2023 | An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection. Hazan Daglayan, Simon Vary, Pierre-Antoine Absil |
| 2023 | An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. Nicolò Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti |
| 2023 | Anomaly detection in irregular image sequences for concentrated solar power plants. Sukanya Patra, Le Thi Khanh Hien, Souhaib Ben Taieb |
| 2023 | Automated green machine learning for condition-based maintenance. Afonso Lourenço, Carolina Ferraz, Jorge Meira, Goreti Marreiros, Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| 2023 | Automatic Trade-off Adaptation in Offline RL. Phillip Swazinna, Steffen Udluft, Thomas A. Runkler |
| 2023 | CRE: Circle relationship embedding of patches in vision transformer. Zhengyang Yu, Jochen Triesch |
| 2023 | Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane |
| 2023 | Communication-Efficient Ridge Regression in Federated Echo State Networks. Valerio De Caro, Antonio Di Mauro, Davide Bacciu, Claudio Gallicchio |
| 2023 | Comparative study of the synfire chain and ring attractor model for timing in the premotor nucleus in male Zebra Finches. Fjola Hyseni, Nicolas P. Rougier, Arthur Leblois |
| 2023 | Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. Luis H. M. Torres, Bernardete Ribeiro, Joel Arrais |
| 2023 | Coordinate descent on the Stiefel manifold for deep neural network training. Estelle M. Massart, Vinayak Abrol |
| 2023 | DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety. André Correia, Luís A. Alexandre |
| 2023 | Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM. Giulia Marchello, Marco Corneli, Charles Bouveyron |
| 2023 | Derivative-Free Optimization Approaches for Force Polytopes Prediction. Gautier Laisné, Nasser Rezzoug, Jean Marc Salotti |
| 2023 | Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions. Dinh Nam Pham, Vera Czehmann, Eleftherios Avramidis |
| 2023 | Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection. Anne-Sophie Collin, Cyril de Bodt, Dounia Mulders, Christophe De Vleeschouwer |
| 2023 | Don't waste SAM. Nermeen Abou Baker, Uwe Handmann |
| 2023 | Efficient Knowledge Aggregation Methods for Weightless Neural Networks. Otávio Oliveira Napoli, Ana Maria de Almeida, José Miguel Sales Dias, Luís Brás Rosário, Edson Borin, Maurício Breternitz Jr. |
| 2023 | Efficient Learning in Spiking Models. Alex Rast, Mario Antoine Aoun, Eleni Elia, Nigel T. Crook |
| 2023 | Efficient feature selection for domain adaptation using Mutual Information Maximization. Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo |
| 2023 | End-to-End Neural Network Training for Hyperbox-Based Classification. Denis Martins, Christian Lülf, Fabian Gieseke |
| 2023 | Energy-efficient detection of a spike sequence. Louis Le Coeur, Nick Riedman, Saarthak Sarup, Kwabena Boahen |
| 2023 | Enhancing Evolution Strategies with Evolution Path Bias. Oliver Kramer |
| 2023 | Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm. Matteo Pardi, Domenico Tortorella, Alessio Micheli |
| 2023 | Evaluating Curriculum Learning Strategies for Pancreatic Cancer Prediction. Eduardo Mosqueira-Rey, David Vázquez-Lema, Elena Hernández-Pereira |
| 2023 | Evaluation of Contrastive Learning for Electronic Component Detection. Leandro H. de S. Silva, Agostinho A. F. Júnior, Bruno J. T. Fernandes, George O. de A. Azevedo, Sergio C. Oliveira |
| 2023 | Exploring Strategies for Modeling Sign Language Phonology. Lee Kezar, Tejas Srinivasan, Riley Carlin, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli |
| 2023 | Exploring the Importance of Sign Language Phonology for a Deep Neural Network. Javier Martinez Rodriguez, Martha A. Larson, Louis ten Bosch |
| 2023 | FairBayRank: A Fair Personalized Bayesian Ranker. Armielle Noulapeu Ngaffo, Julien Albert, Benoît Frénay, Gilles Perrouin |
| 2023 | Feature Selection for Concept Drift Detection. Fabian Hinder, Barbara Hammer |
| 2023 | Feature Selection for Multi-label Classification with Minimal Learning Machine. Joakim Linja, Joonas Hämäläinen, Tommi Kärkkäinen |
| 2023 | Fine-tuning is not (always) overfitting artifacts. Jérémie Bogaert, Emmanuel Jean, Cyril de Bodt, François-Xavier Standaert |
| 2023 | FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer. Thanh Vu, Huy Ngo, Bac Le, Thanh Le |
| 2023 | Functional Resonant Synaptic Clusters for Decoding Time-Structured Spike Trains. Nigel T. Crook, Alex Rast, Eleni Elia, Mario Antoine Aoun |
| 2023 | Graph Representation Learning. Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon |
| 2023 | Graph for Transformer Feature: A New Approach for Face Anti-Spoofing. Quoc-Huy Trinh, Hieu Nguyen, Van Nguyen, Xuan-Mao Nguyen, Hai-Dang Nguyen |
| 2023 | Graph-based Categorical Embedding. Weiwei Wang, Stefano Bromuri, Michel Dumontier |
| 2023 | Green Machine Learning. Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos |
| 2023 | Hidden Markov Models for Temporal Graph Representation Learning. Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli |
| 2023 | Hierarchical priors for Hyperspherical Prototypical Networks. Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito |
| 2023 | Hybrid Deep Learning-Based Air and Water Quality Prediction Model. Jungeun Yoon, Dasong Yu, Youngjae Lee |
| 2023 | Hybrid modelling of dynamic anaerobic digestion process in full-scale with LSTM NN and BMP measurements. Alberto Meola, Sören Weinrich |
| 2023 | Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA). Michael Biehl, Sofie Lövdal |
| 2023 | Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noise. Felipe Contreras, Kerstin Bunte, Reynier Peletier |
| 2023 | Improving Fairness via Intrinsic Plasticity in Echo State Networks. Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto |
| 2023 | Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization. Giorgio Piras, Giuseppe Floris, Raffaele Mura, Luca Scionis, Maura Pintor, Battista Biggio, Ambra Demontis |
| 2023 | Improving the DRASiW performance by exploiting its own "Mental Images". Gianluca Coda, Massimo De Gregorio, Antonio Sorgente, Paolo Vanacore |
| 2023 | Introducing Convolutional Channel-wise Goodness in Forward-Forward Learning. Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou, Theocharis Theocharides |
| 2023 | Is Boredom an Indicator on the way to Singularity of Artificial Intelligence? Hypotheses as Thought-Provoking Impulse. Martin Bogdan |
| 2023 | Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash |
| 2023 | Knowledge Distillation for Anomaly Detection. Adrian Alan Pol, Ekaterina Govorkova, Sonja Grönroos, Nadezda Chernyavskaya, Philip C. Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer |
| 2023 | Language Modeling in Logistics: Customer Calling Prediction. Xi Chen, Giacomo Anerdi, Daniel Stanley Tan, Stefano Bromuri |
| 2023 | Large-scale dataset and benchmarking for hand and face detection focused on sign language. Alvaro Leandro Cavalcante Carneiro, Denis Henrique Pinheiro Salvadeo, Lucas de Brito Silva |
| 2023 | Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis. Frederieke Richert, Michiel Straat, Elisa Oostwal, Michael Biehl |
| 2023 | Learning Vector Quantization in Context of Information Bottleneck Theory. Mehrdad Mohannazadeh Bakhtiari, Daniel Staps, Thomas Villmann |
| 2023 | Learning with Boosting Decision Stumps for Feature Selection in Evolving Data Streams. Daniel Nowak Assis |
| 2023 | Logarithmic Quantum Forking. Alessandro Berti |
| 2023 | Logarithmic division for green feature selection: an information-theoretic approach. Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo |
| 2023 | Mitigating Robustness Bias: Theoretical Results and Empirical Evidences. Danilo Franco, Luca Oneto, Davide Anguita |
| 2023 | Mixture of stochastic block models for multiview clustering. Kylliann De Santiago, Marie Szafranski, Christophe Ambroise |
| 2023 | Multi-Fidelity Reinforcement Learning with Control Variates. Sami Khairy, Prasanna Balaprakash |
| 2023 | Multimodal Approach for Harmonized System Code Prediction. Otmane Amel, Sédrick Stassin, Sidi Ahmed Mahmoudi, Xavier Siebert |
| 2023 | Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions. Fabrizio Nunnari, Annette Rios, Uwe D. Reichel, Chirag Bhuvaneshwara, Panagiotis Paraskevas Filntisis, Petros Maragos, Felix Burkhardt, Florian Eyben, Björn W. Schuller, Sarah Ebling |
| 2023 | Multispectral Texture Classification in Agriculture. Mariya Shumska, Kerstin Bunte |
| 2023 | Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration. Pierre Lambert, John A. Lee, Edouard Couplet, Cyril de Bodt |
| 2023 | On Feature Removal for Explainability in Dynamic Environments. Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer |
| 2023 | On Instance Weighted Clustering Ensembles. Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley |
| 2023 | On Transformer Autoregressive Decoding for Multivariate Time Series Forecasting. Mohammed Aldosari, John A. Miller |
| 2023 | On the Limitations of Model Stealing with Uncertainty Quantification Models. David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr |
| 2023 | On the number of latent representations in deep neural networks for tabular data. Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt |
| 2023 | Pattern Recognition Spiking Neural Network for Classification of Chinese Characters. Nicola Russo, Yuzhong Wan, Thomas Bruun Madsen, Konstantin Nikolic |
| 2023 | Performance Evaluation of Activation Functions in Extreme Learning Machine. Karol Struniawski, Aleksandra Konopka, Ryszard Kozera |
| 2023 | Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game. Mali Imre Gergely, Gabriela Czibula |
| 2023 | Potential analysis of a Quantum RL controller in the context of autonomous driving. Manuel Lautaro Hickmann, Arne P. Raulf, Frank Köster, Friedhelm Schwenker, Hans-Martin Rieser |
| 2023 | Probabilistic Adaptation for Meta-Learning. Tameem Adel |
| 2023 | Quantum Artificial Intelligence: A tutorial. José D. Martín-Guerrero, Lucas Lamata, Thomas Villmann |
| 2023 | Quantum Feature Selection with Variance Estimation. Alessandro Poggiali, Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti |
| 2023 | Quantum-ready vector quantization: Prototype learning as a binary optimization problem. Alexander Engelsberger, Thomas Villmann |
| 2023 | Real-time Detection of Evoked Potentials by Deep Learning: a Case Study. Leonardo Amato, Marta Maschietto, Alessandro Leparulo, Mattia Tambaro, Stefano Vassanelli, Alessandro Sperduti |
| 2023 | Residual Reservoir Computing Neural Networks for Time-series Classification. Claudio Gallicchio, Andrea Ceni |
| 2023 | Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis. Zhengxiang Shi, Aldo Lipani |
| 2023 | Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture. Henda Boudegga, Yaroub Elloumi, Asma Ben Abdallah, Rostom Kachouri, Mohamed Hedi Bedoui |
| 2023 | Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point Processes. Tanguy Bosser, Souhaib Ben Taieb |
| 2023 | Richness of Node Embeddings in Graph Echo State Networks. Domenico Tortorella, Alessio Micheli |
| 2023 | Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer |
| 2023 | Robust and Cheap Safety Measure for Exoskeletal Learning Control with Estimated Uniform PAC (EUPAC). Felix Weiske, Jens Jäkel |
| 2023 | SOM-based Classification and a Novel Stopping Criterion for Astroparticle Applications. Luis Sanchez, Erzsébet Merényi, Christopher D. Tunnell |
| 2023 | Secure Federated Learning with Kernel Affine Hull Machines. Mohit Kumar, Bernhard Moser, Lukas Fischer |
| 2023 | Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements. Helen Schneider, David Biesner, Akash Ashokan, Maximilian Broß, Rebecca Kador, Sandra Halscheidt, Gabor Bagyo, Peter Dankerl, Haissam Ragab, Jin Yamamura, Christoph Labisch, Rafet Sifa |
| 2023 | Similarity versus Supervision: Best Approaches for HS Code Prediction. Sédrick Stassin, Otmane Amel, Sidi Ahmed Mahmoudi, Xavier Siebert |
| 2023 | Simultaneous failures classification in a predictive maintenance case. Antoine Hubermont, Elio Tuci, Nicola De Quattro |
| 2023 | Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer. Ana Maria Barragán-Montero, Robin Tilman, Margerie Huet-Dastarac, John A. Lee |
| 2023 | Sleep analysis in a CLIS patient using soft-clustering: a case study. Sophie Adama, Martin Bogdan |
| 2023 | Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection. Maximilian Münch, Katrin Sophie Bohnsack, Alexander Engelsberger, Frank-Michael Schleif, Thomas Villmann |
| 2023 | Spiking neural networks with Hebbian plasticity for unsupervised representation learning. Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman |
| 2023 | Sun Tracking using a Weightless Q-Learning Neural Network. Guilherme Souza, Priscila Lima, Felipe M. G. França |
| 2023 | TabSRA: An Attention based Self-Explainable Model for Tabular Learning. Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre |
| 2023 | Temporal Ensembling-based Deep k-Nearest Neighbours for Learning with Noisy Labels. Alexandra-Ioana Albu |
| 2023 | Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness. Maura Pintor, Ambra Demontis, Battista Biggio |
| 2023 | Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective. Luca Oneto, Sandro Ridella, Davide Anguita |
| 2023 | Trends and Challenges for Sign Language Recognition with Machine Learning. Jérôme Fink, Mathieu De Coster, Joni Dambre, Benoît Frénay |
| 2023 | Variants of Neural Gas for Regression Learning. Thomas Villmann, Ronny Schubert, Marika Kaden |
| 2023 | WiSARD-based Ensemble Learning. Leopoldo Lusquino Filho, Felipe M. G. França, Priscila Lima |
| 2023 | Wind Power Prediction with ETSformer. Oliver Kramer, Jill Baumann |