Mauro Mangia

Mauro Mangia

Università degli Studi di Bologna

H-index: 19

Europe-Italy

About Mauro Mangia

Mauro Mangia, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at Università degli Studi di Bologna, specializes in the field of bio-signal processing, analog to information converter, ultra wide band system.

His recent articles reflect a diverse array of research interests and contributions to the field:

Streaming Algorithms for Subspace Analysis: an Edge-and Hardware-oriented review

Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices

On the Universal Approximation Properties of Deep Neural Networks using MAM Neurons

Structured Pruning in Deep Neural Networks with Trainable Probability Masks

Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation

min Neuron Paradigm for Aggressively Prunable Deep Neural Networks

Decoding Algorithms and HW Strategies to Mitigate Uncertainties in a PCM-Based Analog Encoder for Compressed Sensing

Combined hw/sw drift and variability mitigation for pcm-based analog in-memory computing for neural network applications

Mauro Mangia Information

University

Position

Research fellow

Citations(all)

1324

Citations(since 2020)

792

Cited By

902

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

31

i10Index(since 2020)

20

Email

University Profile Page

Università degli Studi di Bologna

Google Scholar

View Google Scholar Profile

Mauro Mangia Skills & Research Interests

bio-signal processing

analog to information converter

ultra wide band system

Top articles of Mauro Mangia

Title

Journal

Author(s)

Publication Date

Streaming Algorithms for Subspace Analysis: an Edge-and Hardware-oriented review

Alex Marchioni

Luciano Prono

Mauro Mangia

Fabio Pareschi

Riccardo Rovatti

...

2023

Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices

Alex Marchioni

Luciano Prono

Mauro Mangia

Fabio Pareschi

Riccardo Rovatti

...

2023/3/14

On the Universal Approximation Properties of Deep Neural Networks using MAM Neurons

Philippe Bich

Andriy Enttsel

Luciano Prono

Alex Marchioni

Fabio Pareschi

...

2023/12/12

Structured Pruning in Deep Neural Networks with Trainable Probability Masks

F Martinini

A Enttsel

A Marchioni

M Mangia

R Rovatti

...

2023/8/6

Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation

Philippe Bich

Luciano Prono

Mauro Mangia

Fabio Pareschi

Riccardo Rovatti

...

2023/8/6

min Neuron Paradigm for Aggressively Prunable Deep Neural Networks

Authorea Preprints

Luciano Prono

Philippe Bich

Mauro Mangia

Fabio Pareschi

Riccardo Rovatti

...

2023/10/30

Decoding Algorithms and HW Strategies to Mitigate Uncertainties in a PCM-Based Analog Encoder for Compressed Sensing

Journal of Low Power Electronics and Applications

Carmine Paolino

Alessio Antolini

Francesco Zavalloni

Andrea Lico

Eleonora Franchi Scarselli

...

2023/2/13

Combined hw/sw drift and variability mitigation for pcm-based analog in-memory computing for neural network applications

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Alessio Antolini

Carmine Paolino

Francesco Zavalloni

Andrea Lico

Eleonora Franchi Scarselli

...

2023/2/2

NN-CSdecoder2019. pdf

Authorea Preprints

Mauro Mangia

Luciano Prono

Fabio Pareschi

Riccardo Rovatti

Gianluca Setti

2023/9/11

Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors

Andriy Enttsel

Filippo Martinini

Alex Marchioni

Mauro Mangia

Riccardo Rovatti

...

2023/6/4

SSIGPRO/ucrsnn: Micro controller functions library for Recurrent Spiking Neural Networks (RSNN) implementation.

Chiara Boretti

Luciano Prono

Charlotte Frenkel

Giacomo Indiveri

Fabio Pareschi

...

2023/1/23

Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Alex Marchioni

Andriy Enttsel

Mauro Mangia

Riccardo Rovatti

Gianluca Setti

2023/8/28

Adapted Compressed Sensing with Incremental Encoder and Deep Performance Predictor for Low-Power Sensor Node Design

A Marchioni

F Martinini

L Manovi

S Cortesi

R Rovatti

...

2023/5/22

A Multiply-And-Max/min Neuron Paradigm for Aggressively Prunable Deep Neural Networks

Luciano Prono

Philippe Bich

Chiara Boretti

Mauro Mangia

Fabio Pareschi

...

2023

Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units

Chiara Boretti

Luciano Prono

Charlotte Frenkel

Giacomo Indiveri

Fabio Pareschi

...

2023/5/21

Autoencoder-Based Features Extraction for the Health Monitoring in the Space domain

Silvia Onofri

Andriy Enttsel

Livia Manovi

Alex Marchioni

Salvatore Cognetta

...

2023/8/6

A non-conventional sum-and-max based neural network layer for low power classification

Luciano Prono

Mauro Mangia

Fabio Pareschizy

Riccardo Rovatti

Gianluca Settizy

2022/5/27

Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle

Filippo Martinini

Andriy Enttsel

Alex Marchioni

Mauro Mangia

Riccardo Rovatti

...

2022/10/13

A deep learning method for optimal undersampling patterns and image recovery for mri exploiting losses and projections

IEEE Journal of Selected Topics in Signal Processing

Filippo Martinini

Mauro Mangia

Alex Marchioni

Riccardo Rovatti

Gianluca Setti

2022/4/28

Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing

Philippe Bich

Luciano Prono

Mauro Mangia

Fabio Pareschi

Riccardo Rovatti

...

2022/10/13

See List of Professors in Mauro Mangia University(Università degli Studi di Bologna)

Co-Authors

H-index: 124
Luca Benini

Luca Benini

Università degli Studi di Bologna

H-index: 76
Pierre Vandergheynst

Pierre Vandergheynst

École Polytechnique Fédérale de Lausanne

H-index: 64
Riccardo Rovatti

Riccardo Rovatti

Università degli Studi di Bologna

H-index: 60
Andrea Lodi

Andrea Lodi

École Polytechnique de Montréal

H-index: 57
Alberto Caprara

Alberto Caprara

Università degli Studi di Bologna

H-index: 50
Jonathan Z. Simon

Jonathan Z. Simon

University of Maryland

academic-engine