| Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature methods 9 (8), 796-804, 2012 | 1832 | 2012 |
| Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets F D'Ascenzo, O De Filippo, G Gallone, G Mittone, MA Deriu, ... The Lancet 397 (10270), 199-207, 2021 | 203 | 2021 |
| Integrating web conceptual modeling and web usage mining R Meo, PL Lanzi, M Matera, R Esposito Advances in Web Mining and Web Usage Analysis: 6th International Workshop on …, 2006 | 37 | 2006 |
| Monte Carlo theory as an explanation of bagging and boosting R Esposito, L Saitta IJCAI 3, 499-504, 2003 | 37 | 2003 |
| NeuNAC: A novel fragile watermarking algorithm for integrity protection of neural networks M Botta, D Cavagnino, R Esposito Information Sciences 576, 228-241, 2021 | 36 | 2021 |
| BREVE: an HMPerceptron-based chord recognition system DP Radicioni, R Esposito Advances in Music Information Retrieval, 143-164, 2010 | 30 | 2010 |
| The Block Relevance (BR) analysis supports the dominating effect of solutes hydrogen bond acidity on Δlog Poct–tol G Ermondi, A Visconti, R Esposito, G Caron European Journal of Pharmaceutical Sciences 53, 50-54, 2014 | 29 | 2014 |
| Machine learning for cardiology Y Arfat, G Mittone, R Esposito, B Cantalupo, GM De Ferrari, M Aldinucci Minerva cardiology and angiology 70 (1), 1-75, 2021 | 19 | 2021 |
| CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning. R Esposito, DP Radicioni Journal of Machine Learning Research 10 (8), 2009 | 16 | 2009 |
| A Monte Carlo analysis of ensemble classification R Esposito, L Saitta Proceedings of the twenty-first International Conference on Machine Learning, 34, 2004 | 16 | 2004 |
| Boosting the federation: Cross-silo federated learning without gradient descent M Polato, R Esposito, M Aldinucci 2022 International Joint Conference on Neural Networks (IJCNN), 1-10, 2022 | 14 | 2022 |
| HPC application cloudification: The StreamFlow toolkit I Colonnelli, B Cantalupo, R Esposito, M Pennisi, C Spampinato, ... 12th Workshop on Parallel Programming and Run-Time Management Techniques for …, 2021 | 12 | 2021 |
| FEV6 assessment in spirometric abnormalities screening: the first population-based study in Italian pharmacies P Solidoro, F Braido, F Baratta, D Bagnasco, R Esposito, M Aggeri, ... Panminerva Med 55 (1), 87-92, 2013 | 12 | 2013 |
| Benchmarking fedavg and fedcurv for image classification tasks B Casella, R Esposito, C Cavazzoni, M Aldinucci arXiv preprint arXiv:2303.17942, 2023 | 11 | 2023 |
| Fair pairwise learning to rank M Cerrato, M Köppel, A Segner, R Esposito, S Kramer 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 11 | 2020 |
| The Italian research on HPC key technologies across EuroHPC M Aldinucci, G Agosta, A Andreini, CA Ardagna, A Bartolini, A Cilardo, ... Proceedings of the 18th ACM international conference on computing frontiers …, 2021 | 10 | 2021 |
| Carpediem: an algorithm for the fast evaluation of SSL classifiers R Esposito, DP Radicioni Proceedings of the 24th international conference on Machine learning, 257-264, 2007 | 10 | 2007 |
| Query rewriting in itemset mining R Meo, M Botta, R Esposito Flexible Query Answering Systems: 6th International Conference, FQAS 2004 …, 2004 | 10 | 2004 |
| Experimenting with emerging RISC-V systems for decentralised machine learning G Mittone, N Tonci, R Birke, I Colonnelli, D Medić, A Bartolini, R Esposito, ... Proceedings of the 20th ACM International Conference on Computing Frontiers …, 2023 | 9 | 2023 |
| ESA☆: A generic framework for semi-supervised inductive learning S Yang, D Ienco, R Esposito, RG Pensa Neurocomputing 447, 102-117, 2021 | 9 | 2021 |
Rosa MeoProfessor of Computer Science, University of Torino, Italy在 di.unito.it 的电子邮件经过验证
