| 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 | 113 | 2019 |
| A convolutional autoencoder approach for feature extraction in virtual metrology M Maggipinto, C Masiero, A Beghi, GA Susto Procedia Manufacturing 17, 126-133, 2018 | 104 | 2018 |
| 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 | 82 | 2012 |
| 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 | 65 | 2018 |
| 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 | 50 | 2015 |
| 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 | 33 | 2019 |
| 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 | 28 | 2019 |
| 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 | 24 | 2023 |
| On the multivariate circulant rational covariance extension problem A Lindquist, C Masiero, G Picci 52nd IEEE Conference on Decision and Control, 7155-7161, 2013 | 23 | 2013 |
| 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 | 22 | 2021 |
| 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 | 18 | 2017 |
| 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 | 17 | 2010 |
| 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 | 14 | 2018 |
| 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 | 13 | 2023 |
| 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 | 10 | 2018 |
| 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 | 10 | 2013 |
| Alarm logs in packaging industry (ALPI) D Tosato, D Dalle Pezze, C Masiero, GA Susto, A Beghi | 8 | 2020 |
| 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 | 8 | 2019 |
| Continual learning approaches for anomaly detection D Dalle Pezze, E Anello, C Masiero, GA Susto arXiv e-prints, arXiv: 2212.11192, 2022 | 5 | 2022 |
| Predictive maintenance in the industry: A comparative study on deep learning-based remaining useful life estimation L Lorenti, D Dalle Pezze, J Andreoli, C Masiero, N Gentner, Y Yang, ... 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 1-9, 2023 | 4 | 2023 |
Gian Antonio SustoAssociate Professor @ University of Padova, Co-founder @ StatwolfVerified email at dei.unipd.it
