Michele Fraccaroli

According to our database, Michele Fraccaroli authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Integration of deep generative Anomaly Detection algorithm in high-speed industrial line.

Niccolò Ferrari, Nicola Zanarini, Michele Fraccaroli, Alice Bizzarri, Evelina Lamma

CoRR, March, 2026

2024

Detection of Cliff Top Erosion Drivers through Machine Learning Algorithms between Portonovo and Trave Cliffs (Ancona, Italy).

Nicola Fullin, Michele Fraccaroli, Mirko Francioni, Stefano Fabbri, Angelo Ballaera, Paolo Ciavola, Monica Ghirotti

Remote. Sens., July, 2024

Exploiting CNN's visual explanations to drive anomaly detection.

Michele Fraccaroli, Alice Bizzarri, Paolo Casellati, Evelina Lamma

Appl. Intell., January, 2024

Integration between constrained optimization and deep networks: a survey.

Alice Bizzarri, Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi

Frontiers Artif. Intell., 2024

2023

Explainable Deep Learning.

Michele Fraccaroli

PhD thesis, 2023

GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module.

Niccolò Ferrari, Michele Fraccaroli, Evelina Lamma

Int. J. Intell. Syst., 2023

Efficient Resource-Aware Neural Architecture Search with a Neuro-Symbolic Approach.

Elena Bellodi, Davide Bertozzi, Alice Bizzarri, Michele Favalli, Michele Fraccaroli, Riccardo Zese

Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

2022

Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters.

Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi

SoftwareX, 2022

Symbolic DNN-Tuner.

Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi

Mach. Learn., 2022

Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients.

Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, Evelina Lamma

Medical Biol. Eng. Comput., 2022

2021

Machine Learning Techniques for Extracting Relevant Features from Clinical Data for COVID-19 Mortality Prediction.

Michele Fraccaroli, Giulia Mazzuchelli, Alice Bizzarri

Proceedings of the IEEE Symposium on Computers and Communications, 2021

2020

Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules.

Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi

Proceedings of the Machine Learning, Optimization, and Data Science, 2020