| Efficient randomization of biological networks while preserving functional characterization of individual nodes F Iorio, M Bernardo-Faura, A Gobbi, T Cokelaer, G Jurman, ... BMC bioinformatics 17, 1-14, 2016 | 53 | 2016 |
| Fast randomization of large genomic datasets while preserving alteration counts A Gobbi, F Iorio, KJ Dawson, DC Wedge, D Tamborero, LB Alexandrov, ... Bioinformatics 30 (17), i617-i623, 2014 | 37 | 2014 |
| Estimating the potential risk of transmission of arboviruses in the Americas and Europe: a modelling study A Zardini, F Menegale, A Gobbi, M Manica, G Guzzetta, V d'Andrea, ... The Lancet Planetary Health 8 (1), e30-e40, 2024 | 26 | 2024 |
| Coupling early warning services, crowdsourcing, and modelling for improved decision support and wildfire emergency management C Bielski, V O'Brien, C Whitmore, K Ylinen, I Juga, P Nurmi, J Kilpinen, ... 2017 IEEE International Conference on Big Data (Big Data), 3705-3712, 2017 | 18 | 2017 |
| A null model for pearson coexpression networks A Gobbi, G Jurman PloS one 10 (6), e0128115, 2015 | 15 | 2015 |
| A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe L Makra, I Matyasovszky, G Tusnády, LH Ziska, JJ Hess, LG Nyúl, ... Science of the Total Environment 905, 167095, 2023 | 12 | 2023 |
| Prominence of the training data preparation in geomagnetic storm prediction using deep neural networks M Cristoforetti, R Battiston, A Gobbi, R Iuppa, M Piersanti Scientific Reports 12 (1), 7631, 2022 | 9 | 2022 |
| BiRewire: high-performing routines for the randomization of a bipartite graph (or a binary event matrix), undirected and directed signed graph preserving degree distribution … A Gobbi, F Iorio, D Albanese, G Jurman, J Saez-Rodriguez R package version 3 (0), 2017 | 7 | 2017 |
| High resolution forecasting of heat waves impacts on leaf area index by multiscale multitemporal deep learning A Gobbi, M Cristoforetti, G Jurman, C Furlanello arXiv preprint arXiv:1909.07786, 2019 | 3 | 2019 |
| A heat wave forecast system for Europe A Gobbi, A Alikadic, K Ylinen, F Angaramo, C Furlanello 2017 IEEE International Conference on Big Data (Big Data), 3734-3738, 2017 | 3 | 2017 |
| Package ‘BiRewire’ A Gobbi, F Iorio, G Jurman | 2 | 2016 |
| BiRewire A Gobbi, F Iorio Version, 2015 | 2 | 2015 |
| Forecasting daily total pollen concentrations on a global scale L Makra, L Coviello, A Gobbi, G Jurman, C Furlanello, M Brunato, ... Allergy 79 (8), 2173-2185, 2024 | 1 | 2024 |
| Theoretical and Algorithmic Solutions for Null models in Network Theory A Gobbi Università degli studi di Trento, 2013 | 1 | 2013 |
| DSIPTS: A high productivity environment for time series forecasting models A Gobbi, A Martinelli, M Cristoforetti SoftwareX 28, 101875, 2024 | | 2024 |
| MoPiDiP: A Modular Real-Time Pipeline for Machinery Diagnosis and Prognosis Based on Deep Learning Algorithms M Pujatti, D Calzà, A Gobbi, P Svaizer, M Cristoforetti | | 2024 |
| Optimal Integration of Non-Dispatchable RES in OSMOSE FlexEnergy Market A Bello, A Franzinelli, F Colaone, N Di Marco, EG Macchi, A Gobbi, ... 2022 18th International Conference on the European Energy Market (EEM), 1-6, 2022 | | 2022 |
| Intelligenza artificiale e ortofoto per il censimento e la gestione delle aree pascolabili in ambiente alpino L Bergamasco, F Bovolo, M Cristoforetti, A Gobbi, D Leo, P Molfetta, ... GEOMEDIA, 6-13, 2021 | | 2021 |
| Efficient randomization of biological networks while preserving functional characterization of individual nodes M Bernardo-Faura, A Gobbi, T Cokelae, G Jurman, J Saez-Rodrigue | | 2016 |
| A null model for Pearson coexpression networks Supplementary Material–S1 Text A Gobbi, G Jurman | | |
