FRACCAROLI, MICHELE
FRACCAROLI, MICHELE
Dipartimento di Matematica e Informatica
A Machine Learning Pipeline to Analyse Multispectral and Hyperspectral Images
2023 Azzolini, D.; Bizzarri, A.; Fraccaroli, M.; Bertasi, F.; Lamma, E.
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules
2020 Fraccaroli, M.; Lamma, E.; Riguzzi, F.
Detection of Cliff Top Erosion Drivers through Machine Learning Algorithms between Portonovo and Trave Cliffs (Ancona, Italy)
file con accesso da definire2024 Fullin, Nicola; Fraccaroli, Michele; Francioni, Mirko; Fabbri, Stefano; Ballaera, Angelo; Ciavola, Paolo; Ghirotti, Monica
Efficient Resource-Aware Neural Architecture Search with a Neuro-Symbolic Approach
2023 Bellodi, Elena; Bertozzi, Davide; Bizzarri, Alice; Favalli, Michele; Fraccaroli, Michele; Zese, Riccardo
EVALUATION OF EROSION DRIVES THROUGH A MACHINE LEARNING ALGORITHM IN A SOFT ROCKY CLIFF (Ancona, Italy)
file con accesso da definire2023 Fullin, Nicola; Fraccaroli, Michele; Ghirotti, Monica
Explainable Deep Learning
2023 Fraccaroli, Michele
Exploiting Parameters Learning for Hyper-parameters Optimization in Deep Neural Networks
2022 Fraccaroli, M.; Lamma, E.; Riguzzi, F.
Machine learning techniques for extracting relevant features from clinical data for COVID-19 mortality prediction
2021 Fraccaroli, Michele; Mazzuchelli, Giulia; Bizzarri, Alice
Neural Networks and Deep Learning Fundamentals
2022 Zese, Riccardo; Bellodi, Elena; Fraccaroli, Michele; Riguzzi, Fabrizio; Lamma, Evelina
Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients
2022 Fadja, Arnaud Nguembang; Fraccaroli, Michele; Bizzarri, Alice; Mazzuchelli, Giulia; Lamma, Evelina
Symbolic DNN-Tuner
2022 Fraccaroli, M.; Lamma, E.; Riguzzi, F.
Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters
2022 Fraccaroli, M.; Lamma, E.; Riguzzi, F.