| Attention to fires: Multi-channel deep learning models for wildfire severity prediction S Monaco, S Greco, A Farasin, L Colomba, D Apiletti, P Garza, ... Applied Sciences 11 (22), 11060, 2021 | 26 | 2021 |
| Training physics-informed neural networks: One learning to rule them all? S Monaco, D Apiletti Results in Engineering 18, 101023, 2023 | 22 | 2023 |
| A dataset for burned area delineation and severity estimation from satellite imagery L Colomba, A Farasin, S Monaco, S Greco, P Garza, D Apiletti, E Baralis, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 16 | 2022 |
| Improving wildfire severity classification of deep learning U-nets from satellite images S Monaco, A Pasini, D Apiletti, L Colomba, P Garza, E Baralis 2020 IEEE International Conference on Big Data (Big Data), 5786-5788, 2020 | 12 | 2020 |
| Cyst segmentation on kidney tubules by means of U-Net deep-learning models S Monaco, N Bussola, S Butto, D Sona, D Apiletti, G Jurman, E Viola, ... 2021 IEEE International Conference on Big Data (Big Data), 3923-3926, 2021 | 6 | 2021 |
| baρtti at geolingit: Beyond boundaries, enhancing geolocation prediction and dialect classification on social media in italy A Koudounas, F Giobergia, I Benedetto, S Monaco, L Cagliero, D Apiletti, ... CEUR Workshop Proceedings, 2023 | 5 | 2023 |
| Double-Step deep learning framework to improve wildfire severity classification. S Monaco, A Pasini, D Apiletti, L Colomba, A Farasin, P Garza, E Baralis EDBT/ICDT Workshops, 2021 | 5 | 2021 |
| Theory-guided deep learning algorithms: An experimental evaluation S Monaco, D Apiletti, G Malnati Electronics 11 (18), 2850, 2022 | 4 | 2022 |
| AI models for automated segmentation of engineered polycystic kidney tubules S Monaco, N Bussola, S Buttò, D Sona, F Giobergia, G Jurman, C Xinaris, ... Scientific Reports 14 (1), 2847, 2024 | 3 | 2024 |
| A hybrid cloud-to-edge predictive maintenance platform A Marguglio, G Veneziano, P Greco, S Jung, R Siegburg, RH Schmitt, ... Predictive Maintenance in Smart Factories: Architectures, Methodologies, and …, 2021 | 1 | 2021 |
| A Comparative Study of Neural Ordinary Differential Equations and Neural Operators for Modeling Temporal Dynamics D APILETTI, S MONACO | | 2024 |
| Deep Probability Segmentation: Are segmentation models probability estimators? S Fassio, S Monaco, D Apiletti 2024 IEEE 18th International Conference on Application of Information and …, 2024 | | 2024 |
| Uncertainty-aware segmentation for rainfall prediction post processing S Monaco, L Monaco, D Apiletti arXiv preprint arXiv:2408.16792, 2024 | | 2024 |
| Tandem: a Confidence-based Approach for Precise Medical Image Segmentation S Monaco, L Petrosino, C Xinaris, D Apiletti Artificial Intelligence and Data Science for Healthcare: Bridging Data …, 2024 | | 2024 |
| Lorentz-Invariant Augmentation for High-Energy Physics Deep Learning Models S Monaco, S Barresi, D Apiletti Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| Lorentz-invariant augmentation for high-energy physics S Monaco, S Barresi, D Apiletti Communications in Computer and Information Science, 2023 | | 2023 |
| Experimental Comparison of Theory-Guided Deep Learning Algorithms S Monaco, D Apiletti European Conference on Advances in Databases and Information Systems, 256-265, 2022 | | 2022 |
| Exploring waste-collection fleet data: challenges in a real-world use case from multiple data providers S Monaco, P Bethaz, D Apiletti, FP Baldini, C Caso, T Cerquitelli Proceedings of the Workshops of the {EDBT/ICDT} 2022 Joint Conference, 2022 | | 2022 |
| Connecting Structure and dynamics in model network glasses S Monaco Politecnico di Torino, 2020 | | 2020 |
| Quantify Production Planning Efficiency Through Predictive Modeling in Manufacturing Systems S Monaco, D Apiletti, A Francica, T Cerquitelli Available at SSRN 4743147, 0 | | |
Daniele ApilettiPolitecnico di TorinoDirección de correo verificada de polito.it
