Folgen
Chiara Masiero
Chiara Masiero
Statwolf Data Science Srl
Bestätigte E-Mail-Adresse bei statwolf.com
Titel
Zitiert von
Zitiert von
Jahr
Time and spectral domain relative entropy: A new approach to multivariate spectral estimation
A Ferrante, C Masiero, M Pavon
IEEE Transactions on Automatic Control 57 (10), 2561-2575, 2012
762012
A convolutional autoencoder approach for feature extraction in virtual metrology
M Maggipinto, C Masiero, A Beghi, GA Susto
Procedia Manufacturing 17, 126-133, 2018
602018
Explainable machine learning in industry 4.0: Evaluating feature importance in anomaly detection to enable root cause analysis
M Carletti, C Masiero, A Beghi, GA Susto
2019 IEEE international conference on systems, man and cybernetics (SMC), 21-26, 2019
512019
A computer vision-inspired deep learning architecture for virtual metrology modeling with 2-dimensional data
M Maggipinto, M Terzi, C Masiero, A Beghi, GA Susto
IEEE Transactions on Semiconductor Manufacturing 31 (3), 376-384, 2018
422018
On the error region for channel estimation-based physical layer authentication over Rayleigh fading
A Ferrante, N Laurenti, C Masiero, M Pavon, S Tomasin
IEEE Transactions on Information Forensics and Security 10 (5), 941-952, 2015
352015
On the multivariate circulant rational covariance extension problem
A Lindquist, C Masiero, G Picci
52nd IEEE Conference on Decision and Control, 7155-7161, 2013
202013
Decentralized task assignment in camera networks
A Cenedese, F Cerruti, M Fabbro, C Masiero, L Schenato
49th IEEE Conference on Decision and Control (CDC), 126-131, 2010
172010
A deep learning approach for anomaly detection with industrial time series data: a refrigerators manufacturing case study
M Carletti, C Masiero, A Beghi, GA Susto
Procedia Manufacturing 38, 233-240, 2019
162019
Deep learning-based production forecasting in manufacturing: a packaging equipment case study
L Brunelli, C Masiero, D Tosato, A Beghi, GA Susto
Procedia Manufacturing 38, 248-255, 2019
152019
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data
M Terzi, C Masiero, A Beghi, M Maggipinto, GA Susto
2017 IEEE 3rd International Forum on Research and Technologies for Society …, 2017
132017
On the achievable error region of physical layer authentication techniques over Rayleigh fading channels
A Ferrante, N Laurenti, C Masiero, M Pavon, S Tomasin
arXiv preprint arXiv:1303.0707, 2013
102013
WS4ABSA: an NMF-based weakly-supervised approach for aspect-based sentiment analysis with application to online reviews
A Purpura, C Masiero, GA Susto
Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus …, 2018
82018
A fraud detection decision support system via human on-line behavior characterization and machine learning
GA Susto, M Terzi, C Masiero, S Pampuri, A Schirru
2018 First International Conference on Artificial Intelligence for …, 2018
72018
Supervised lexicon extraction for emotion classification
A Purpura, C Masiero, G Silvello, G Antonio Susto
Companion Proceedings of The 2019 World Wide Web Conference, 1071-1078, 2019
62019
FORMULA: A deep learning approach for rare alarms predictions in industrial equipment
D Dalle Pezze, C Masiero, D Tosato, A Beghi, GA Susto
IEEE Transactions on Automation Science and Engineering 19 (3), 1491-1502, 2021
42021
Feature Selection for Emotion Classification.
A Purpura, C Masiero, G Silvello, GA Susto
IIR, 47-48, 2019
32019
Multivariate moment problems with applications to spectral estimation and physical layer security in wireless communications
C Masiero
University of Padova, 2014
32014
Matlab System Identification Toolbox Quickstart
C Masiero
Département de Génie Informatique, Université Padova, Italie, 2012
22012
AcME—Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box
D Dandolo, C Masiero, M Carletti, D Dalle Pezze, GA Susto
Expert Systems with Applications 214, 119115, 2023
12023
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
DD Pezze, D Deronjic, C Masiero, D Tosato, A Beghi, GA Susto
arXiv preprint arXiv:2208.04227, 2022
12022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20