| OCTIS: Comparing and optimizing topic models is simple! S Terragni, E Fersini, BG Galuzzi, P Tropeano, A Candelieri Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 94 | 2021 |
| Vulnerability of public transportation networks against directed attacks and cascading failures A Candelieri, BG Galuzzi, I Giordani, F Archetti Public Transport 11, 27-49, 2019 | 45 | 2019 |
| Hyperparameter optimization for recommender systems through Bayesian optimization BG Galuzzi, I Giordani, A Candelieri, R Perego, F Archetti Computational Management Science 17, 495-515, 2020 | 37 | 2020 |
| Comparing the performances of four stochastic optimisation methods using analytic objective functions, 1D elastic full‐waveform inversion, and residual static computation A Sajeva, M Aleardi, B Galuzzi, E Stucchi, E Spadavecchia, A Mazzotti Geophysical Prospecting 65 (S1), 322-346, 2017 | 27 | 2017 |
| INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation M Di Filippo, D Pescini, BG Galuzzi, M Bonanomi, D Gaglio, E Mangano, ... PLoS computational biology 18 (2), e1009337, 2022 | 26 | 2022 |
| Comparison of stochastic optimization methods on two analytic objective functions and on a 1D elastic FWI A Sajeva, M Aleardi, A Mazzotti, E Stucchi, B Galuzzi 76th EAGE Conference and Exhibition 2014 2014 (1), 1-5, 2014 | 20 | 2014 |
| Machine learning for efficient prediction of protein redox potential: The flavoproteins case BG Galuzzi, A Mirarchi, EL Viganò, L De Gioia, C Damiani, F Arrigoni Journal of Chemical Information and Modeling 62 (19), 4748-4759, 2022 | 9 | 2022 |
| Bayesian optimization for full waveform inversion BG Galuzzi, R Perego, A Candelieri, F Archetti New Trends in Emerging Complex Real Life Problems: ODS, Taormina, Italy …, 2018 | 8 | 2018 |
| A local adaptive method for the numerical approximation in seismic wave modelling BG Galuzzi, E Zampieri, EM Stucchi Communications in Applied and Industrial Mathematics 8 (1), 265-281, 2017 | 8 | 2017 |
| Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells BG Galuzzi, M Vanoni, C Damiani BMC bioinformatics 23 (Suppl 6), 445, 2022 | 7 | 2022 |
| Seismic coupling for the Aegean-Anatolian region F Sparacino, BG Galuzzi, M Palano, M Segou, C Chiarabba Earth-Science Reviews 228, 103993, 2022 | 7 | 2022 |
| Bayesian optimization for recommender system BG Galuzzi, I Giordani, A Candelieri, R Perego, F Archetti Optimization of Complex Systems: Theory, Models, Algorithms and Applications …, 2020 | 7 | 2020 |
| Stochastic FWI on wide-angle land data with different order of approximation of the 2D acoustic wave equation B Galuzzi, A Tognarelli, E Stucchi, A Mazzotti 78th EAGE Conference and Exhibition 2016 2016 (1), 1-5, 2016 | 7 | 2016 |
| Learning optimal control of water distribution networks through sequential model-based optimization A Candelieri, B Galuzzi, I Giordani, F Archetti International Conference on Learning and Intelligent Optimization, 303-315, 2020 | 6 | 2020 |
| Global optimization procedure to estimate a starting velocity model for local Full Waveform Inversion B Galuzzi, E Zampieri, E Stucchi Optimization and Decision Science: Methodologies and Applications: ODS …, 2017 | 5 | 2017 |
| Optimizing partially defined black-box functions under unknown constraints via sequential model based optimization: an application to pump scheduling optimization in water … A Candelieri, B Galuzzi, I Giordani, R Perego, F Archetti International Conference on Learning and Intelligent Optimization, 77-93, 2019 | 4 | 2019 |
| A global-local experience of 2D acoustic FWI on a real data set BG Galuzzi, A Tognarelli, EM Stucchi 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | 4 | 2018 |
| Best practices in flux sampling of constrained-based models BG Galuzzi, L Milazzo, C Damiani International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 3 | 2022 |
| Modelling and optimization techniques for acoustic Full Waveform Inversion in seismic exploration BG Galuzzi Università degli Studi di Milano, 2018 | 3 | 2018 |
| Optimal scenario-tree selection for multistage stochastic programming BG Galuzzi, E Messina, A Candelieri, F Archetti International Conference on Machine Learning, Optimization, and Data Science …, 2020 | 2 | 2020 |
Antonio CandelieriAssociate Professor, University of Milano-BicoccaVerified email at unimib.it
