Archivio Istituzionale della RicercaMONACO, SIMONE
MONACO, SIMONE
Dipartimento di Automatica e Informatica
040275
Training physics-informed neural networks: One learning to rule them all?
2023 Monaco, Simone; Apiletti, Daniele
Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation
2025 Monaco, Simone; Monaco, Luca; Apiletti, Daniele; Cremonini, Roberto; Barbero, Secondo
AI models for automated segmentation of engineered polycystic kidney tubules
2024 Monaco, Simone; Bussola, Nicole; Buttò, Sara; Sona, Diego; Giobergia, Flavio; Jurman, Giuseppe; Xinaris, Christodoulos; Apiletti, Daniele
A Comparative Study of Neural Ordinary Differential Equations and Neural Operators for Modeling Temporal Dynamics
2025 Celia, Matteo; Monaco, Simone; Apiletti, Daniele
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction
2021 Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; Garza, Paolo; Cerquitelli, Tania; Baralis, Elena
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery
2022 Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Training physics-informed neural networks: One learning to rule them all? / Monaco, S., Apiletti, D.. - In: RESULTS IN ENGINEERING. - ISSN 2590-1230. - ELETTRONICO. - 18:(2023). [10.1016/j.rineng.2023.101023] | 1-gen-2023 | Simone MonacoDaniele Apiletti | 1-s2.0-S2590123023001500-main.pdf |
| Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation / Monaco, S., Monaco, L., Apiletti, D., Cremonini, R., Barbero, S.. - In: COMPUTERS & GEOSCIENCES. - ISSN 0098-3004. - ELETTRONICO. - 205:(2025). [10.1016/j.cageo.2025.105992] | 1-gen-2025 | Monaco, SimoneMonaco, LucaApiletti, Daniele + | 1-s2.0-S0098300425001426-main.pdf |
| AI models for automated segmentation of engineered polycystic kidney tubules / Monaco, S., Bussola, N., Buttò, S., Sona, D., Giobergia, F., Jurman, G., Xinaris, C., Apiletti, D.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 14:(2024). [10.1038/s41598-024-52677-1] | 1-gen-2024 | Monaco, SimoneGiobergia, FlavioApiletti, Daniele + | s41598-024-52677-1.pdf |
| A Comparative Study of Neural Ordinary Differential Equations and Neural Operators for Modeling Temporal Dynamics / Celia, M., Monaco, S., Apiletti, D.. - In: NEURAL COMPUTING & APPLICATIONS. - ISSN 1433-3058. - ELETTRONICO. - 37:30(2025), pp. 25319-25338. [10.1007/s00521-025-11580-0] | 1-gen-2025 | Celia, MatteoMonaco, SimoneApiletti, Daniele | s00521-025-11580-0.pdf |
| Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction / Monaco, S., Greco, S., Farasin, A., Colomba, L., Apiletti, D., Garza, P., Cerquitelli, T., Baralis, E.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 11:22(2021). [10.3390/app112211060] | 1-gen-2021 | Monaco, SimoneGreco, SalvatoreFarasin, AlessandroColomba, LucaApiletti, DanieleGarza, PaoloCerquitelli, TaniaBaralis, Elena | applsci-11-11060.pdf |
| A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery / Colomba, L., Farasin, A., Monaco, S., Greco, S., Garza, P., Apiletti, D., Baralis, E., Cerquitelli, T.. - ELETTRONICO. - (2022), pp. 3893-3897. (International Conference on Information and Knowledge Management (CIKM) 2022 Atlanta (Georgia, USA) 17/10/2022 - 21/10/2022) [10.1145/3511808.3557528]. | 1-gen-2022 | Colomba,LucaFarasin,AlessandroMonaco,SimoneGreco,SalvatoreGarza,PaoloApiletti,DanieleBaralis,ElenaCerquitelli,Tania | 3511808.3557528.pdf; BurnedAreaDatasetPaper.pdf |