Michele Fraccaroli

According to our database, Michele Fraccaroli authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Exploiting CNN's visual explanations to drive anomaly detection.

Michele Fraccaroli, Alice Bizzarri, Paolo Casellati, Evelina Lamma

Appl. Intell., January, 2024

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