| 2023 | Improving Fairness via Intrinsic Plasticity in Echo State Networks. | Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto |
| 2023 | Communication-Efficient Ridge Regression in Federated Echo State Networks. | Valerio De Caro, Antonio Di Mauro, Davide Bacciu, Claudio Gallicchio |
| 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 | 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 | Green Machine Learning. | Vernica Boln-Canedo, Laura Morn-Fernndez, Brais Cancela, Amparo Alonso-Betanzos |
| 2023 | Is Boredom an Indicator on the way to Singularity of Artificial Intelligence? Hypotheses as Thought-Provoking Impulse. | Martin Bogdan |
| 2023 | Fine-tuning is not (always) overfitting artifacts. | Jrmie Bogaert, Emmanuel Jean, Cyril de Bodt, Franois-Xavier Standaert |
| 2023 | Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA). | Michael Biehl, Sofie Lvdal |
| 2023 | Adversarial Auditing of Machine Learning Models under Compound Shift. | Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett |
| 2023 | Logarithmic Quantum Forking. | Alessandro Berti |
| 2023 | Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer. | Ana Maria Barragn-Montero, Robin Tilman, Margerie Huet-Dastarac, John A. Lee |
| 2023 | Learning Vector Quantization in Context of Information Bottleneck Theory. | Mehrdad Mohannazadeh Bakhtiari, Daniel Staps, Thomas Villmann |
| 2023 | Don't waste SAM. | Nermeen Abou Baker, Uwe Handmann |
| 2023 | Graph Representation Learning. | Davide Bacciu, Federico Errica, Alessio Micheli, Nicol Navarin, Luca Pasa, Marco Podda, Daniele Zambon |
| 2023 | Learning with Boosting Decision Stumps for Feature Selection in Evolving Data Streams. | Daniel Nowak Assis |
| 2023 | Multimodal Approach for Harmonized System Code Prediction. | Otmane Amel, Sdrick Stassin, Sidi Ahmed Mahmoudi, Xavier Siebert |
| 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 | 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 | On Transformer Autoregressive Decoding for Multivariate Time Series Forecasting. | Mohammed Aldosari, John A. Miller |
| 2023 | Temporal Ensembling-based Deep k-Nearest Neighbours for Learning with Noisy Labels. | Alexandra-Ioana Albu |
| 2023 | Probabilistic Adaptation for Meta-Learning. | Tameem Adel |
| 2023 | Sleep analysis in a CLIS patient using soft-clustering: a case study. | Sophie Adama, Martin Bogdan |
| 2023 | End-to-End Neural Network Training for Hyperbox-Based Classification. | Denis Martins, Christian Llf, Fabian Gieseke |
| 2023 | Wind Power Prediction with ETSformer. | Oliver Kramer, Jill Baumann |