| 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 | 114 | 2019 |
| Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest M Carletti, M Terzi, GA Susto Engineering Applications of Artificial Intelligence 119, 105730, 2023 | 105* | 2023 |
| 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 | 32 | 2019 |
| Optimizing microbiota profiles for athletes L Mancin, I Rollo, JF Mota, F Piccini, M Carletti, GA Susto, G Valle, A Paoli Exercise and Sport Sciences Reviews 49 (1), 42-49, 2021 | 26 | 2021 |
| 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 | 21 | 2023 |
| Algorithmic audit of italian car insurance: Evidence of unfairness in access and pricing A Fabris, A Mishler, S Gottardi, M Carletti, M Daicampi, GA Susto, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 458-468, 2021 | 20 | 2021 |
| A random forest-based approach for hand gesture recognition with wireless wearable motion capture sensors N Bargellesi, M Carletti, A Cenedese, GA Susto, M Terzi IFAC-PapersOnLine 52 (11), 128-133, 2019 | 19 | 2019 |
| DBAM: Making virtual metrology/soft sensing with time series data scalable through deep learning N Gentner, M Carletti, A Kyek, GA Susto, Y Yang Control Engineering Practice 116, 104914, 2021 | 14 | 2021 |
| Interpretable anomaly detection with diffi: Depth-based feature importance for the isolation forest. arXiv 2020 M Carletti, M Terzi, GA Susto arXiv preprint arXiv:2007.11117, 0 | 14 | |
| Exploiting 2D coordinates as bayesian priors for deep learning defect classification of SEM images S Arena, Y Bodrov, M Carletti, N Gentner, M Maggipinto, Y Yang, A Beghi, ... IEEE Transactions on Semiconductor Manufacturing 34 (3), 436-439, 2021 | 7 | 2021 |
| Interpretable anomaly detection for knowledge discovery in semiconductor manufacturing M Carletti, M Maggipinto, A Beghi, GA Susto, N Gentner, Y Yang, A Kyek 2020 Winter Simulation Conference (WSC), 1875-1885, 2020 | 6 | 2020 |
| Enhancing scalability of virtual metrology: A deep learning-based approach for domain adaptation N Gentner, A Kyek, Y Yang, M Carletti, GA Susto 2020 Winter Simulation Conference (WSC), 1898-1909, 2020 | 6 | 2020 |
| On the limitations of adversarial training for robust image classification with convolutional neural networks M Carletti, A Sinigaglia, M Terzi, GA Susto Information Sciences 675, 120703, 2024 | 1 | 2024 |
| Improving robustness with image filtering M Terzi, M Carletti, GA Susto Neurocomputing, 127927, 2024 | | 2024 |
| Trustworthy Machine Learning for Anomaly Detection and Computer Vision Applications M Carletti Università degli studi di Padova, 2023 | | 2023 |
Gian Antonio SustoAssociate Professor @ University of Padova, Co-founder @ StatwolfBestätigte E-Mail-Adresse bei dei.unipd.it
