| 2023 | Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. | Luis H. M. Torres, Bernardete Ribeiro, Joel Arrais |
| 2023 | Automatic Trade-off Adaptation in Offline RL. | Phillip Swazinna, Steffen Udluft, Thomas A. Runkler |
| 2023 | Logarithmic division for green feature selection: an information-theoretic approach. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2023 | Performance Evaluation of Activation Functions in Extreme Learning Machine. | Karol Struniawski, Aleksandra Konopka, Ryszard Kozera |
| 2023 | Similarity versus Supervision: Best Approaches for HS Code Prediction. | Sdrick Stassin, Otmane Amel, Sidi Ahmed Mahmoudi, Xavier Siebert |
| 2023 | Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. | Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane |
| 2023 | Sun Tracking using a Weightless Q-Learning Neural Network. | Guilherme Souza, Priscila Lima, Felipe M. G. Frana |
| 2023 | Evaluation of Contrastive Learning for Electronic Component Detection. | Leandro H. de S. Silva, Agostinho A. F. Jnior, Bruno J. T. Fernandes, George O. de A. Azevedo, Sergio C. Oliveira |
| 2023 | Multispectral Texture Classification in Agriculture. | Mariya Shumska, Kerstin Bunte |
| 2023 | Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis. | Zhengxiang Shi, Aldo Lipani |
| 2023 | Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements. | Helen Schneider, David Biesner, Akash Ashokan, Maximilian Bro, Rebecca Kador, Sandra Halscheidt, Gabor Bagyo, Peter Dankerl, Haissam Ragab, Jin Yamamura, Christoph Labisch, Rafet Sifa |
| 2023 | Mixture of stochastic block models for multiview clustering. | Kylliann De Santiago, Marie Szafranski, Christophe Ambroise |
| 2023 | SOM-based Classification and a Novel Stopping Criterion for Astroparticle Applications. | Luis Sanchez, Erzsbet Mernyi, Christopher D. Tunnell |
| 2023 | Pattern Recognition Spiking Neural Network for Classification of Chinese Characters. | Nicola Russo, Yuzhong Wan, Thomas Bruun Madsen, Konstantin Nikolic |
| 2023 | Exploring the Importance of Sign Language Phonology for a Deep Neural Network. | Javier Martinez Rodriguez, Martha A. Larson, Louis ten Bosch |
| 2023 | Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis. | Frederieke Richert, Michiel Straat, Elisa Oostwal, Michael Biehl |
| 2023 | Spiking neural networks with Hebbian plasticity for unsupervised representation learning. | Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman |
| 2023 | Efficient Learning in Spiking Models. | Alex Rast, Mario Antoine Aoun, Eleni Elia, Nigel T. Crook |
| 2023 | Knowledge Distillation for Anomaly Detection. | Adrian Alan Pol, Ekaterina Govorkova, Sonja Grnroos, Nadezda Chernyavskaya, Philip C. Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer |
| 2023 | Quantum Feature Selection with Variance Estimation. | Alessandro Poggiali, Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti |
| 2023 | Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization. | Giorgio Piras, Giuseppe Floris, Raffaele Mura, Luca Scionis, Maura Pintor, Battista Biggio, Ambra Demontis |
| 2023 | Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness. | Maura Pintor, Ambra Demontis, Battista Biggio |
| 2023 | A model-based approach to meta-Reinforcement Learning: Transformers and tree search. | Brieuc Pinon, Raphal M. Jungers, Jean-Charles Delvenne |
| 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 | Anomaly detection in irregular image sequences for concentrated solar power plants. | Sukanya Patra, Le Thi Khanh Hien, Souhaib Ben Taieb |