FABBIANI, EMANUELE
FABBIANI, EMANUELE
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Article a new epigenetic model to stratify glioma patients according to their immunosuppressive state
2021-01-01 Polano, M.; Fabbiani, E.; Adreuzzi, E.; Di Cintio, F.; Bedon, L.; Gentilini, D.; Mongiat, M.; Ius, T.; Arcicasa, M.; Skrap, M.; Bo, M. D.; Toffoli, G.
Ensembling methods for countrywide short-term forecasting of gas demand
2021-01-01 Marziali, A.; Fabbiani, E.; de Nicolao, G.
Fast calibration of two-factor models for energy option pricing
2021-01-01 Fabbiani, E.; Marziali, A.; De Nicolao, G.
Forecasting residential gas demand: Machine learning approaches and seasonal role of temperature forecasts
2021-01-01 Fabbiani, E.; Marziali, A.; de Nicolao, G.
Identification of AC Distribution Networks With Recursive Least Squares and Optimal Design of Experiment
2022-01-01 Fabbiani, E.; Nahata, P.; De Nicolao, G.; Ferrari-Trecate, G.
Machine Learning Approaches for Energy Distribution and Planning
2021-02-28 Fabbiani, Emanuele
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Article a new epigenetic model to stratify glioma patients according to their immunosuppressive state | 1-gen-2021 | Polano, M.; Fabbiani, E.; Adreuzzi, E.; Di Cintio, F.; Bedon, L.; Gentilini, D.; Mongiat, M.; Ius, T.; Arcicasa, M.; Skrap, M.; Bo, M. D.; Toffoli, G. | |
| Ensembling methods for countrywide short-term forecasting of gas demand | 1-gen-2021 | Marziali, A.; Fabbiani, E.; de Nicolao, G. | |
| Fast calibration of two-factor models for energy option pricing | 1-gen-2021 | Fabbiani, E.; Marziali, A.; De Nicolao, G. | |
| Forecasting residential gas demand: Machine learning approaches and seasonal role of temperature forecasts | 1-gen-2021 | Fabbiani, E.; Marziali, A.; de Nicolao, G. | |
| Identification of AC Distribution Networks With Recursive Least Squares and Optimal Design of Experiment | 1-gen-2022 | Fabbiani, E.; Nahata, P.; De Nicolao, G.; Ferrari-Trecate, G. | |
| Machine Learning Approaches for Energy Distribution and Planning | 28-feb-2021 | Fabbiani, Emanuele |