| Copy mechanism and tailored training for character-based data-to-text generation M Roberti, G Bonetta, R Cancelliere, P Gallinari Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 15 | 2020 |
| Retrieval-augmented Transformer-XL for close-domain dialog generation G Bonetta, R Cancelliere, D Liu, P Vozila arXiv preprint arXiv:2105.09235, 2021 | 11 | 2021 |
| Job Shop Scheduling via Deep Reinforcement Learning: A Sequence to Sequence Approach G Bonetta, D Zago, R Cancelliere, A Grosso International Conference on Learning and Intelligent Optimization, 475-490, 2023 | 6 | 2023 |
| Reducing overcrowding at the emergency department through a different physician and nurse shift organisation: a case study R Aringhieri, G Bonetta, D Duma New Trends in Emerging Complex Real Life Problems: ODS, Taormina, Italy …, 2018 | 6 | 2018 |
| Regularization-based pruning of irrelevant weights in deep neural architectures G Bonetta, M Ribero, R Cancelliere Applied Intelligence 53 (14), 17429-17443, 2023 | 4 | 2023 |
| The rare word issue in natural language generation: A character-based solution G Bonetta, M Roberti, R Cancelliere, P Gallinari Informatics 8 (1), 20, 2021 | 3 | 2021 |
| System and Method for Generating Responses for Conversational Agents D Liu, PJ Vozila, P Stubley, AJ Dunlop, Z Fu, G Bonetta US Patent App. 16/990,014, 2022 | 1 | 2022 |
| Simultaneous derivation of galaxy physical properties with multimodal deep learning M Gai, M Bove, G Bonetta, D Zago, R Cancelliere Monthly Notices of the Royal Astronomical Society 532 (2), 1391-1401, 2024 | | 2024 |
| Architectural Augmentations and Sparsity in Deep Language Generation Models G Bonetta Università degli Studi di Torino, 2022 | | 2022 |
| Lightening CNN architectures by regularization driven weights' pruning G Bonetta, R Cancelliere Proceedings of the European Symposium on Artificial Neural Networks …, 2022 | | 2022 |
| Vision Language Models as Policy Learners in Reinforcement Learning Environments G Bonetta, D Zago, R Cancelliere, M Polato, B Magnini environments 12, 13, 0 | | |
