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Chiara Masiero
Chiara Masiero
Statwolf Data Science Srl
Bestätigte E-Mail-Adresse bei statwolf.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1122019
A convolutional autoencoder approach for feature extraction in virtual metrology
M Maggipinto, C Masiero, A Beghi, GA Susto
Procedia Manufacturing 17, 126-133, 2018
1032018
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
822012
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
652018
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
502015
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
312019
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
282019
On the multivariate circulant rational covariance extension problem
A Lindquist, C Masiero, G Picci
52nd IEEE Conference on Decision and Control, 7155-7161, 2013
232013
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
212023
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
212021
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
182017
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 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
142018
A multi-label continual learning framework to scale deep learning approaches for packaging equipment monitoring
D Dalle Pezze, D Deronjic, C Masiero, D Tosato, A Beghi, GA Susto
Engineering Applications of Artificial Intelligence 124, 106610, 2023
112023
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
102018
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
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
82019
Alarm logs in packaging industry (ALPI)
D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi
72020
Continual learning approaches for anomaly detection
D Dalle Pezze, E Anello, C Masiero, GA Susto
arXiv e-prints, arXiv: 2212.11192, 2022
52022
Anomaly detection for the industrial internet of things: an unsupervised approach for fast root cause analysis
E Anello, C Masiero, F Ferro, F Ferrari, B Mukaj, A Beghi, GA Susto
2022 IEEE Conference on Control Technology and Applications (CCTA), 1366-1371, 2022
42022
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