| Contextual and sequential user embeddings for large-scale music recommendation C Hansen, C Hansen, L Maystre, R Mehrotra, B Brost, F Tomasi, ... Proceedings of the 14th ACM Conference on Recommender Systems, 53-62, 2020 | 118 | 2020 |
| Latent variable time-varying network inference F Tomasi, V Tozzo, S Salzo, A Verri Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 26 | 2018 |
| A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease M Squillario, G Abate, F Tomasi, V Tozzo, A Barla, D Uberti Scientific reports 10 (1), 12063, 2020 | 15 | 2020 |
| Stochastic Variational Inference for Dynamic Correlated Topic Models F Tomasi, P Ravichandran, G Levy-Fix, M Lalmas, Z Dai | 12 | 2020 |
| Temporal pattern detection in time-varying graphical models F Tomasi, V Tozzo, A Barla 2020 25th International Conference on Pattern Recognition (ICPR), 4481-4488, 2021 | 10 | 2021 |
| Multi-Task Learning of Graph-based Inductive Representations of Music Content. A Saravanou, F Tomasi, R Mehrotra, M Lalmas ISMIR, 602-609, 2021 | 9 | 2021 |
| PALLADIO: a parallel framework for robust variable selection in high-dimensional data M Barbieri, S Fiorini, F Tomasi, A Barla 2016 6th Workshop on Python for High-Performance and Scientific Computing …, 2016 | 6 | 2016 |
| Automatic Music Playlist Generation via Simulation-based Reinforcement Learning F Tomasi, J Cauteruccio, S Kanoria, K Ciosek, M Rinaldi, Z Dai Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Query understanding for surfacing under-served music content F Tomasi, R Mehrotra, A Pappu, J Bütepage, B Brost, H Galvão, M Lalmas Proceedings of the 29th ACM International Conference on Information …, 2020 | 5 | 2020 |
| Forward-backward splitting for time-varying graphical models F Tomasi, V Tozzo, A Verri, S Salzo International Conference on Probabilistic Graphical Models, 475-486, 2018 | 5 | 2018 |
| Dynamic word correlated topic machine learning model F Tomasi, Z Dai, M Lalmas-roelleke US Patent 12,050,872, 2024 | 2 | 2024 |
| Dynamic correlated topic model PC Ravichandran, M Lalmas-roelleke, F Tomasi, Z Dai, G Levy-Fix US Patent 11,727,221, 2023 | 2 | 2023 |
| Efficient inference for dynamic topic modeling with large vocabularies F Tomasi, M Lalmas, Z Dai Uncertainty in Artificial Intelligence, 1950-1959, 2022 | 2 | 2022 |
| Adenine: A HPC-Oriented Tool for Biological Data Exploration S Fiorini, F Tomasi, M Squillario, A Barla Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2019 | 2 | 2019 |
| Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions V Tozzo, F Tomasi, M Squillario, A Barla arXiv preprint arXiv:1811.09673, 2018 | 2 | 2018 |
| A 3-fold kernel approach for characterizing Late Onset Alzheimer’s Disease M Squillario, F Tomasi, V Tozzo, A Barla, D Uberti, ... bioRxiv, 397760, 2018 | 1 | 2018 |
| Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy V D’Amario, F Tomasi, V Tozzo, G Arnulfo, A Barla, L Nobili | 1 | 2018 |
| Diffusion Model for Slate Recommendation F Tomasi, F Fabbri, M Lalmas, Z Dai arXiv preprint arXiv:2408.06883, 2024 | | 2024 |
| In-context Exploration-Exploitation for Reinforcement Learning Z Dai, F Tomasi, S Ghiassian arXiv preprint arXiv:2403.06826, 2024 | | 2024 |
| Reinforcement learning for diverse content generation Z Dai, J Cauteruccio, F Tomasi, MB Ayed US Patent App. 17/851,426, 2023 | | 2023 |
Mounia LalmasSpotify在 acm.org 的电子邮件经过验证
