Sparse sensing matrix based compressed sensing in low-power ECG sensor nodes. - Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2017)

Low-complexity greedy algorithm in compressed sensing for the adapted decoding of ECGs. - Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2017)

Rakeness-based Compressed Sensing of Surface ElectroMyoGraphy for Improved Hand Movement Recognition in the Compressed Domain. - Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2018)

Disturbance Rejection With Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs. - Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (ISCAS, 2018)

Resource Redistribution in Internet of Things applications by Compressed Sensing: A Survey. - Alex Marchioni; Cesar H. Pimentel-Romero; Fabio Pareschi; Mauro Mangia; Riccardo Rovatti; Gianluca Setti (ISCAS, 2018)

Projected-Gradient-Descent in Rakeness-Based Compressed Sensing with Disturbance Rejection. - Mauro Mangia; Letizia Magenta; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (NGCAS, 2018)

Administering Quality-Energy Trade-Off in IoT Sensing Applications by Means of Adapted Compressed Sensing. - Mauro Mangia; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

Embedding principal component analysis for data reduction in structural health monitoring on low-cost IoT gateways. - Alessio Burrello; Alex Marchioni; Davide Brunelli; Luca Benini (CF, 2019)

Chained Compressed Sensing for Iot Node Security. - Mauro Mangia; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (ICASSP, 2019)

A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA. - Luciano Prono; Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (PRIME, 2019)

Chained Compressed Sensing: A Blockchain-Inspired Approach for Low-Cost Security in IoT Sensing. - Mauro Mangia; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE Internet Things J., 2019)

Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles. - Mauro Mangia; Alex Marchioni; Luciano Prono; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (AICAS, 2020)

Low-Power Fixed-Point Compressed Sensing Decoder with Support Oracle. - Luciano Prono; Mauro Mangia; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (ISCAS, 2020)

Deep Neural Oracle With Support Identification in the Compressed Domain. - Luciano Prono; Mauro Mangia; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Subspace Energy Monitoring for Anomaly Detection @Sensor or @Edge. - Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE Internet Things J., 2020)

Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals. - Mauro Mangia; Luciano Prono; Alex Marchioni; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE Trans. Biomed. Circuits Syst., 2020)

An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction. - Luciano Prono; Alex Marchioni; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (BioCAS, 2021)

Embedded Streaming Principal Components Analysis for Network Load Reduction in Structural Health Monitoring. - Alessio Burrello; Alex Marchioni; Davide Brunelli; Simone Benatti; Mauro Mangia; Luca Benini (IEEE Internet Things J., 2021)

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)

A Deep Learning Method for Optimal Undersampling Patterns and Image Recovery for MRI Exploiting Losses and Projections. - Filippo Martinini; Mauro Mangia; Alex Marchioni; Riccardo Rovatti; Gianluca Setti (IEEE J. Sel. Top. Signal Process., 2022)

Adapted Compressed Sensing with Incremental Encoder and Deep Performance Predictor for Low-Power Sensor Node Design. - Alex Marchioni; Filippo Martinini; Livia Manovi; Silvano Cortesi; Riccardo Rovatti; Gianluca Setti; Mauro Mangia (I2MTC, 2023)

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)

Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices. - Alex Marchioni; Luciano Prono; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti (IEEE Internet Things J., 2023)

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

SVD-based Peephole and Clustering to Enhance Trustworthiness in DNN Classifiers. - Livia Manovi; Lorenzo Capelli; Alex Marchioni; Filippo Martinini; 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)

Multi-class Similarity-based Approach for Remaining Useful Life Estimation. - Silvia Onofri; Alex Marchioni; Gianluca Setti; Mauro Mangia; Riccardo Rovatti (I2MTC, 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)

Incremental Undersampling MRI Acquisition With Neural Self Assessment. - Filippo Martinini; Mauro Mangia; Alex Marchioni; Gianluca Setti; Riccardo Rovatti (Signal Process., 2025)

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)