| Learning robust representations via multi-view information bottleneck M Federici, A Dutta, P Forré, N Kushman, Z Akata arXiv preprint arXiv:2002.07017, 2020 | 128 | 2020 |
| Genetic algorithms for hyperparameter optimization in predictive business process monitoring C Di Francescomarino, M Dumas, M Federici, C Ghidini, FM Maggi, ... Information Systems 74, 67-83, 2018 | 87 | 2018 |
| An unsupervised aspect extraction strategy for monitoring real-time reviews stream M Dragoni, M Federici, A Rexha Information processing & management 56 (3), 1103-1118, 2019 | 73 | 2019 |
| Predictive business process monitoring framework with hyperparameter optimization C Di Francescomarino, M Dumas, M Federici, C Ghidini, FM Maggi, ... Advanced Information Systems Engineering: 28th International Conference …, 2016 | 54 | 2016 |
| A knowledge-based approach for aspect-based opinion mining M Federici, M Dragoni Semantic Web Challenges: Third SemWebEval Challenge at ESWC 2016, Heraklion …, 2016 | 38 | 2016 |
| Towards Unsupervised Approaches For Aspects Extraction. M Federici, M Dragoni EMSA-RMed@ ESWC, 2016 | 20 | 2016 |
| Improved bayesian compression M Federici, K Ullrich, M Welling arXiv preprint arXiv:1711.06494, 2017 | 18 | 2017 |
| A Branching Strategy For Unsupervised Aspect-based Sentiment Analysis. M Federici, M Dragoni EMSASW@ ESWC, 2017 | 14 | 2017 |
| A ProM operational support provider for predictive monitoring of business processes M Federici, W Rizzi, C Di Francescomarino, M Dumas, C Ghidini, ... Proceedings of the BPM Demo Session 2015; Co-located with the 13th …, 2015 | 10 | 2015 |
| ReUS: a Real-time Unsupervised System For Monitoring Opinion Streams M Dragoni, M Federici, A Rexha Cognitive Computation 11, 469-488, 2019 | 8 | 2019 |
| Aspect-based opinion mining using knowledge bases M Federici, M Dragoni Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017, Portoroz …, 2017 | 8 | 2017 |
| An information-theoretic approach to distribution shifts M Federici, R Tomioka, P Forré Advances in Neural Information Processing Systems 34, 17628-17641, 2021 | 7 | 2021 |
| Compositional Mixture Representations for Vision and Text S Alaniz, M Federici, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
| Towards lightweight controllable audio synthesis with conditional implicit neural representations J Zuiderveld, M Federici, EJ Bekkers arXiv preprint arXiv:2111.08462, 2021 | 1 | 2021 |
| A Bayesian Approach to Invariant Deep Neural Networks N Mourdoukoutas, M Federici, G Pantalos, M van der Wilk, V Fortuin arXiv preprint arXiv:2107.09301, 2021 | 1 | 2021 |
| The KABSA System at ESWC-2018 Challenge on Semantic Sentiment Analysis M Federici, M Dragoni Semantic Web Challenges: 5th SemWebEval Challenge at ESWC 2018, Heraklion …, 2018 | 1 | 2018 |
| Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics M Arts, VG Satorras, CW Huang, D Zuegner, M Federici, C Clementi, ... arXiv preprint arXiv:2302.00600, 2023 | | 2023 |
| Unsupervised Aspect Extraction Strategies for Supporting Opinion Monitoring A Rexha, M Dragoni, M Federici Information processing & management, 2018 | | 2018 |
| ReUS: A Real-Time Unsupervised System For Monitoring Opinion Streams A Rexha, M Dragoni, M Federici Cognitive Computing, 2018 | | 2018 |
| BRIDGE THE INFERENCE GAPS OF NEURAL PRO-CESSES VIA EXPECTATION MAXIMIZATION Q Wang, M Federici, H van Hoof | | |
Mauro DragoniResearch Scientist at Fondazione Bruno KesslerVerified email at fbk.eu
