Training Binary Layers by Self-Shrinking of Sigmoid Slope: Application to Fast MRI Acquisition. - Filippo Martinini; Andriy Enttsel; Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2022)

Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle. - Filippo Martinini; Andriy Enttsel; Alex Marchioni; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (BioCAS, 2022)

Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors. - Andriy Enttsel; Filippo Martinini; Alex Marchioni; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (ICASSP, 2023)

Structured Pruning in Deep Neural Networks with Trainable Probability Masks. - Filippo Martinini; Andriy Enttsel; Alex Marchioni; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (MWSCAS, 2023)

Autoencoder-Based Features Extraction for the Health Monitoring in the Space domain. - Silvia Onofri; Andriy Enttsel; Livia Manovi; Alex Marchioni; Salvatore Cognetta; Francesco Corallo; Carlo Ciancarelli; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (MWSCAS, 2023)

Enhancing Anomaly Detection with Entropy Regularization in Autoencoder-based Lightweight Compression. - Andriy Enttsel; Alex Marchioni; Gianluca Setti; Mauro Mangia; Riccardo Rovatti (AICAS, 2024)

Anomaly Detection-Reconstruction Trade-Off in Autoencoder-Based Compression. - Andriy Enttsel; Alex Marchioni; Livia Manovi; Riccardo Nikpali; Gabriele Ravaglia; Gianluca Setti; Riccardo Rovatti; Mauro Mangia (EUSIPCO, 2024)

Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization. - Alex Marchioni; Andriy Enttsel; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A General Framework for the Assessment of Detectors of Anomalies in Time Series. - Andriy Enttsel; Silvia Onofri; Alex Marchioni; Mauro Mangia; Gianluca Setti; Riccardo Rovatti (IEEE Trans. Ind. Informatics, 2024)

On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons. - Philippe Bich; Andriy Enttsel; Luciano Prono; Alex Marchioni; Fabio Pareschi; Mauro Mangia; Gianluca Setti; Riccardo Rovatti (IEEE Trans. Pattern Anal. Mach. Intell., 2025)