MANGIA, MAURO
MANGIA, MAURO
DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Docenti di ruolo di IIa fascia
Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization
2024 Marchioni, Alex; Enttsel, Andriy; Mangia, Mauro; Rovatti, Riccardo; Setti, Gianluca
Onboard AI for Enhanced FDIR: Revolutionizing Spacecraft Operations with Anomaly Detection
2024 Livia Manovi; Antonio Leboffe; Alex Marchioni; Eleonora Mariotti; Mauro Mangia; Francesco Corallo; Davide Di Ienno; Ilaria Pinci; Riccardo Rovatti; Carlo Ciancarelli; Gianluca Furano
SVD-based Peephole and Clustering to Enhance Trustworthiness in DNN Classifiers
2024 Manovi, Livia; Capelli, Lorenzo; Marchioni, Alex; Martinini, Filippo; Setti, Gianluca; Mangia, Mauro; Rovatti, Riccardo
Adapted Compressed Sensing with Incremental Encoder and Deep Performance Predictor for Low-Power Sensor Node Design
2023 Marchioni, A.; Martinini, F.; Manovi, L.; Cortesi, S.; Rovatti, R.; Setti, G.; Mangia, M.
Autoencoder-Based Features Extraction for the Health Monitoring in the Space domain
2023 Onofri, Silvia; Enttsel, Andriy; Manovi, Livia; Marchioni, Alex; Cognetta, Salvatore; Corallo, Francesco; Ciancarelli, Carlo; Mangia, Mauro; Rovatti, Riccardo; Setti, Gianluca
Combined HW/SW Drift and Variability Mitigation for PCM-based Analog In-memory Computing for Neural Network Applications
2023 Alessio Antolini, Carmine Paolino, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, Mauro Mangia, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi, Marco Pasotti
Decoding Algorithms and HW Strategies to Mitigate Uncertainties in a PCM-Based Analog Encoder for Compressed Sensing
2023 Paolino, Carmine; Antolini, Alessio; Zavalloni, Francesco; Lico, Andrea; Franchi Scarselli, Eleonora; Mangia, Mauro; Marchioni, Alex; Pareschi, Fabio; Setti, Gianluca; Rovatti, Riccardo; Luigi Torres, Mattia; Carissimi, Marcella; Pasotti, Marco
Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units
2023 Boretti C.; Prono L.; Frenkel C.; Indiveri G.; Pareschi F.; Mangia M.; Rovatti R.; Setti G.
Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors
2023 Enttsel, Andriy; Martinini, Filippo; Marchioni, Alex; Mangia, Mauro; Rovatti, Riccardo; Setti, Gianluca
Streaming Algorithms for Subspace Analysis: an Edge-and Hardware-oriented review
2023 Alex Marchioni; Luciano Prono; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti
Structured Pruning in Deep Neural Networks with Trainable Probability Masks
2023 Martinini, F.; Enttsel, A.; Marchioni, A.; Mangia, M.; Rovatti, R.; Setti, G.
A Deep Learning Method for Optimal Undersampling Patterns and Image Recovery for MRI Exploiting Losses and Projections
2022 Martinini F.; Mangia M.; Marchioni A.; Rovatti R.; Setti G.
A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification
2022 Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing
2022 Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle
2022 Martinini, Filippo; Enttsel, Andriy; Marchioni, Alex; Mangia, Mauro; Rovatti, Riccardo; Setti, Gianluca
New Concepts Of Automated Anomaly Detection In Space Operations Through ML-Based Techniques
2022 Ciancarelli C.; Corallo F.; Cognetta S.; Mariotti E.; Manovi L.; Mangia M.; Marchioni A.; Rovatti R.; Pareschi F.; Setti G.
Phase-Change Memory in Neural Network Layers with Measurements-based Device Models
2022 Paolino, Carmine; Antolini, Alessio; Pareschi, Fabio; Mangia, Mauro; Rovatti, Riccardo; Scarselli, Eleonora Franchi; Setti, Gianluca; Canegallo, Roberto; Carissimi, Marcella; Pasotti, Marco
Training Binary Layers by Self-Shrinking of Sigmoid Slope: Application to Fast MRI Acquisition
2022 Martinini, F.; Enttsel, A.; Marchioni, A.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G.
An architecture for ultra-low-voltage ultra-low-power compressed sensing-based acquisition systems
2021 Paolino, C.; Pareschi, F.; Mangia, M.; Rovatti, R.; Setti, G.
An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction
2021 Prono, Luciano; Marchioni, Alex; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization | Marchioni, Alex; Enttsel, Andriy; Mangia, Mauro; Rovatti, Riccardo; Setti, Gianluca | 2024-01-01 | IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS. SYSTEMS | - | 1.01 Articolo in rivista | Anomaly_Detection_Based_on_Compressed_Data_An_Information_Theoretic_Characterization.pdf |
| Onboard AI for Enhanced FDIR: Revolutionizing Spacecraft Operations with Anomaly Detection | Livia Manovi; Antonio Leboffe; Alex Marchioni; Eleonora Mariotti; Mauro Mangia; Francesco Corallo...; Davide Di Ienno; Ilaria Pinci; Riccardo Rovatti; Carlo Ciancarelli; Gianluca Furano | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| SVD-based Peephole and Clustering to Enhance Trustworthiness in DNN Classifiers | Manovi, Livia; Capelli, Lorenzo; Marchioni, Alex; Martinini, Filippo; Setti, Gianluca; Mangia, Ma...uro; Rovatti, Riccardo | 2024-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
| Adapted Compressed Sensing with Incremental Encoder and Deep Performance Predictor for Low-Power Sensor Node Design | Marchioni, A.; Martinini, F.; Manovi, L.; Cortesi, S.; Rovatti, R.; Setti, G.; Mangia, M. | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | adapted compressed sensing with incremental decoder post print.pdf |
| Autoencoder-Based Features Extraction for the Health Monitoring in the Space domain | Onofri, Silvia; Enttsel, Andriy; Manovi, Livia; Marchioni, Alex; Cognetta, Salvatore; Corallo, Fr...ancesco; Ciancarelli, Carlo; Mangia, Mauro; Rovatti, Riccardo; Setti, Gianluca | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Combined HW/SW Drift and Variability Mitigation for PCM-based Analog In-memory Computing for Neural Network Applications | Alessio Antolini, Carmine Paolino, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, ...Mauro Mangia, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi, Marco Pasotti | 2023-01-01 | IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS | - | 1.01 Articolo in rivista | Combined_HW_SW_Drift_and_Variability_Mitigation_for_PCM-based_Analog_In-memory_Computing_for_Neural_Network_Applications_IRIS.pdf |
| Decoding Algorithms and HW Strategies to Mitigate Uncertainties in a PCM-Based Analog Encoder for Compressed Sensing | Paolino, Carmine; Antolini, Alessio; Zavalloni, Francesco; Lico, Andrea; Franchi Scarselli, Eleon...ora; Mangia, Mauro; Marchioni, Alex; Pareschi, Fabio; Setti, Gianluca; Rovatti, Riccardo; Luigi Torres, Mattia; Carissimi, Marcella; Pasotti, Marco | 2023-01-01 | JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS | - | 1.01 Articolo in rivista | jlpea-13-00017.pdf |
| Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units | Boretti C.; Prono L.; Frenkel C.; Indiveri G.; Pareschi F.; Mangia M.; Rovatti R.; Setti G. | 2023-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
| Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors | Enttsel, Andriy; Martinini, Filippo; Marchioni, Alex; Mangia, Mauro; Rovatti, Riccardo; Setti, Gi...anluca | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Streaming Algorithms for Subspace Analysis: an Edge-and Hardware-oriented review | Alex Marchioni; Luciano Prono; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti | 2023-01-01 | IEEE INTERNET OF THINGS JOURNAL | - | 1.01 Articolo in rivista | STREAMING ALGHORITHMS FOR SUBSPACE ANALYSIS post print.pdf |
| Structured Pruning in Deep Neural Networks with Trainable Probability Masks | Martinini, F.; Enttsel, A.; Marchioni, A.; Mangia, M.; Rovatti, R.; Setti, G. | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
| A Deep Learning Method for Optimal Undersampling Patterns and Image Recovery for MRI Exploiting Losses and Projections | Martinini F.; Mangia M.; Marchioni A.; Rovatti R.; Setti G. | 2022-01-01 | IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | - | 1.01 Articolo in rivista | 11585_907386.pdf |
| A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification | Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing | Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle | Martinini, Filippo; Enttsel, Andriy; Marchioni, Alex; Mangia, Mauro; Rovatti, Riccardo; Setti, Gi...anluca | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| New Concepts Of Automated Anomaly Detection In Space Operations Through ML-Based Techniques | Ciancarelli C.; Corallo F.; Cognetta S.; Mariotti E.; Manovi L.; Mangia M.; Marchioni A.; Rovatti... R.; Pareschi F.; Setti G. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Phase-Change Memory in Neural Network Layers with Measurements-based Device Models | Paolino, Carmine; Antolini, Alessio; Pareschi, Fabio; Mangia, Mauro; Rovatti, Riccardo; Scarselli..., Eleonora Franchi; Setti, Gianluca; Canegallo, Roberto; Carissimi, Marcella; Pasotti, Marco | 2022-01-01 | - | The Printing House | 4.01 Contributo in Atti di convegno | Phase-Change Memory in Neural Network Layers with Measurements-based Device Models IRIS.pdf |
| Training Binary Layers by Self-Shrinking of Sigmoid Slope: Application to Fast MRI Acquisition | Martinini, F.; Enttsel, A.; Marchioni, A.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| An architecture for ultra-low-voltage ultra-low-power compressed sensing-based acquisition systems | Paolino, C.; Pareschi, F.; Mangia, M.; Rovatti, R.; Setti, G. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
| An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction | Prono, Luciano; Marchioni, Alex; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca | 2021-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |