| 2023 | Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm. | Matteo Pardi, Domenico Tortorella, Alessio Micheli |
| 2023 | On the Limitations of Model Stealing with Uncertainty Quantification Models. | David Pape, Sina Dubener, Thorsten Eisenhofer, Antonio Emanuele Cin, Lea Schnherr |
| 2023 | Introducing Convolutional Channel-wise Goodness in Forward-Forward Learning. | Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou, Theocharis Theocharides |
| 2023 | Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective. | Luca Oneto, Sandro Ridella, Davide Anguita |
| 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, Bjrn W. Schuller, Sarah Ebling |
| 2023 | FairBayRank: A Fair Personalized Bayesian Ranker. | Armielle Noulapeu Ngaffo, Julien Albert, Benot Frnay, Gilles Perrouin |
| 2023 | An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. | Nicol Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti |
| 2023 | Efficient Knowledge Aggregation Methods for Weightless Neural Networks. | Otvio Oliveira Napoli, Ana Maria de Almeida, Jos Miguel Sales Dias, Lus Brs Rosrio, Edson Borin, Maurcio Breternitz Jr. |
| 2023 | Sparse Nystrm Approximation for Non-Vectorial Data Using Class-informed Landmark Selection. | Maximilian Mnch, Katrin Sophie Bohnsack, Alexander Engelsberger, Frank-Michael Schleif, Thomas Villmann |
| 2023 | Evaluating Curriculum Learning Strategies for Pancreatic Cancer Prediction. | Eduardo Mosqueira-Rey, David Vzquez-Lema, Elena Hernndez-Pereira |
| 2023 | On Instance Weighted Clustering Ensembles. | Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley |
| 2023 | Hybrid modelling of dynamic anaerobic digestion process in full-scale with LSTM NN and BMP measurements. | Alberto Meola, Sren Weinrich |
| 2023 | Coordinate descent on the Stiefel manifold for deep neural network training. | Estelle M. Massart, Vinayak Abrol |
| 2023 | Quantum Artificial Intelligence: A tutorial. | Jos D. Martn-Guerrero, Lucas Lamata, Thomas Villmann |
| 2023 | Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM. | Giulia Marchello, Marco Corneli, Charles Bouveyron |
| 2023 | Automated green machine learning for condition-based maintenance. | Afonso Loureno, Carolina Ferraz, Jorge Meira, Goreti Marreiros, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2023 | Action-Based ADHD Diagnosis in Video. | Yichun Li, Yuxing Yang, Rajesh Nair, Syed Mohsen Naqvi |
| 2023 | Feature Selection for Multi-label Classification with Minimal Learning Machine. | Joakim Linja, Joonas Hmlinen, Tommi Krkkinen |
| 2023 | A Tropical View of Graph Neural Networks. | Francesco Landolfi, Davide Bacciu, Danilo Numeroso |
| 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 | Derivative-Free Optimization Approaches for Force Polytopes Prediction. | Gautier Laisn, Nasser Rezzoug, Jean Marc Salotti |
| 2023 | Multi-Fidelity Reinforcement Learning with Control Variates. | Sami Khairy, Prasanna Balaprakash |
| 2023 | Exploring Strategies for Modeling Sign Language Phonology. | Lee Kezar, Tejas Srinivasan, Riley Carlin, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli |
| 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 | Simultaneous failures classification in a predictive maintenance case. | Antoine Hubermont, Elio Tuci, Nicola De Quattro |