| 2023 | Feature Selection for Concept Drift Detection. | Fabian Hinder, Barbara Hammer |
| 2023 | Potential analysis of a Quantum RL controller in the context of autonomous driving. | Manuel Lautaro Hickmann, Arne P. Raulf, Frank Kster, Friedhelm Schwenker, Hans-Martin Rieser |
| 2023 | Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game. | Mali Imre Gergely, Gabriela Czibula |
| 2023 | Efficient feature selection for domain adaptation using Mutual Information Maximization. | Guillermo Castillo Garca, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2023 | Residual Reservoir Computing Neural Networks for Time-series Classification. | Claudio Gallicchio, Andrea Ceni |
| 2023 | On Feature Removal for Explainability in Dynamic Environments. | Fabian Fumagalli, Maximilian Muschalik, Eyke Hllermeier, Barbara Hammer |
| 2023 | A Counterexample to Ockham's Razor and the Curse of Dimensionality: Marginalising Complexity and Dimensionality for GMMs. | Benot Frnay |
| 2023 | Mitigating Robustness Bias: Theoretical Results and Empirical Evidences. | Danilo Franco, Luca Oneto, Davide Anguita |
| 2023 | Hierarchical priors for Hyperspherical Prototypical Networks. | Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito |
| 2023 | Trends and Challenges for Sign Language Recognition with Machine Learning. | Jrme Fink, Mathieu De Coster, Joni Dambre, Benot Frnay |
| 2023 | WiSARD-based Ensemble Learning. | Leopoldo Lusquino Filho, Felipe M. G. Frana, Priscila Lima |
| 2023 | Hidden Markov Models for Temporal Graph Representation Learning. | Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli |
| 2023 | Quantum-ready vector quantization: Prototype learning as a binary optimization problem. | Alexander Engelsberger, Thomas Villmann |
| 2023 | Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? | Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash |
| 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 | An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection. | Hazan Daglayan, Simon Vary, Pierre-Antoine Absil |
| 2023 | Functional Resonant Synaptic Clusters for Decoding Time-Structured Spike Trains. | Nigel T. Crook, Alex Rast, Eleni Elia, Mario Antoine Aoun |
| 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 | A Protocol for Continual Explanation of SHAP. | Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu |
| 2023 | DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety. | Andr Correia, Lus A. Alexandre |
| 2023 | Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noise. | Felipe Contreras, Kerstin Bunte, Reynier Peletier |
| 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 | Energy-efficient detection of a spike sequence. | Louis Le Coeur, Nick Riedman, Saarthak Sarup, Kwabena Boahen |
| 2023 | Improving the DRASiW performance by exploiting its own "Mental Images". | Gianluca Coda, Massimo De Gregorio, Antonio Sorgente, Paolo Vanacore |
| 2023 | Language Modeling in Logistics: Customer Calling Prediction. | Xi Chen, Giacomo Anerdi, Daniel Stanley Tan, Stefano Bromuri |