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2020 – today
- 2024
[j6]Alessio Arcudi, Davide Frizzo, Chiara Masiero, Gian Antonio Susto:
Enhancing interpretability and generalizability in extended isolation forests. Eng. Appl. Artif. Intell. 138: 109409 (2024)- [c13]Valentina Zaccaria, David Dandolo
, Chiara Masiero, Gian Antonio Susto:
AcME-AD: Accelerated Model Explanations for Anomaly Detection. xAI (4) 2024: 441-463 - [i8]Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto:
AcME-AD: Accelerated Model Explanations for Anomaly Detection. CoRR abs/2403.01245 (2024) - [i7]Valentina Zaccaria, Chiara Masiero, David Dandolo, Gian Antonio Susto:
Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD. CoRR abs/2404.18525 (2024) - 2023
- [j5]Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto:
A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. Eng. Appl. Artif. Intell. 124: 106610 (2023) - [j4]David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto:
AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box. Expert Syst. Appl. 214: 119115 (2023) - [c12]Alessandro Beghi, Nicola Dall'Ora, Davide Dalle Pezze, Franco Fummi, Chiara Masiero, Stefano Spellini, Gian Antonio Susto, Francesco Tosoni:
VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. FDL 2023: 1-8 - [c11]Luciano Lorenti, Davide Dalle Pezze, Jacopo Andreoli, Chiara Masiero, Natalie Gentner, Yao Yang, Gian Antonio Susto:
Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation. INDIN 2023: 1-9 - [i6]Alessio Arcudi, Davide Frizzo, Chiara Masiero, Gian Antonio Susto:
ExIFFI and EIF+: Interpretability and Enhanced Generalizability to Extend the Extended Isolation Forest. CoRR abs/2310.05468 (2023) - 2022
- [j3]Davide Dalle Pezze, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto:
FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. IEEE Trans Autom. Sci. Eng. 19(3): 1491-1502 (2022) - [c10]Eugenia Anello, Chiara Masiero, Fabiana Federica Ferro, Francesca Ferrari, Bleona Mukaj, Alessandro Beghi, Gian Antonio Susto:
Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis. CCTA 2022: 1366-1371 - [d1]Diego Tosato, Davide Dalle Pezze, Chiara Masiero, Gian Antonio Susto, Alessandro Beghi:
Alarm Logs in Packaging Industry (ALPI). IEEE DataPort, 2022
- [i5]Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto:
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring. CoRR abs/2208.04227 (2022) - [i4]Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto:
Continual Learning Approaches for Anomaly Detection. CoRR abs/2212.11192 (2022) - 2021
- [i3]David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto:
AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box. CoRR abs/2112.12635 (2021)
2010 – 2019
- 2019
- [c9]Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto:
Feature Selection for Emotion Classification. IIR 2019: 47-48 - [c8]Mattia Carletti, Chiara Masiero, Alessandro Beghi, Gian Antonio Susto:
Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. SMC 2019: 21-26 - [c7]Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto:
Supervised Lexicon Extraction for Emotion Classification. WWW (Companion Volume) 2019: 1071-1078 - 2018
- [c6]Gian Antonio Susto, Matteo Terzi, Chiara Masiero, Simone Pampuri, Andrea Schirru:
A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. AI4I 2018: 9-14 - [c5]Alberto Purpura, Chiara Masiero, Gian Antonio Susto:
WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews. DS 2018: 386-401 - 2017
- [c4]Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto:
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. RTSI 2017: 1-6 - 2015
- [j2]Augusto Ferrante, Nicola Laurenti, Chiara Masiero, Michele Pavon, Stefano Tomasin:
On the Error Region for Channel Estimation-Based Physical Layer Authentication Over Rayleigh Fading. IEEE Trans. Inf. Forensics Secur. 10(5): 941-952 (2015) - 2013
- [c3]Anders Lindquist, Chiara Masiero, Giorgio Picci:
On the multivariate circulant rational covariance extension problem. CDC 2013: 7155-7161 - [i2]Augusto Ferrante, Nicola Laurenti, Chiara Masiero, Michele Pavon, Stefano Tomasin:
On the Achievable Error Region of Physical Layer Authentication Techniques over Rayleigh Fading Channels. CoRR abs/1303.0707 (2013) - 2012
- [j1]Augusto Ferrante, Chiara Masiero, Michele Pavon:
Time and Spectral Domain Relative Entropy: A New Approach to Multivariate Spectral Estimation. IEEE Trans. Autom. Control. 57(10): 2561-2575 (2012) - 2011
- [c2]Augusto Ferrante, Chiara Masiero, Michele Pavon:
A new metric for multivariate spectral estimation leading to lowest complexity spectra. CDC/ECC 2011: 1479-1484 - [i1]Augusto Ferrante, Chiara Masiero, Michele Pavon:
Time and spectral domain relative entropy: A new approach to multivariate spectral estimation. CoRR abs/1103.5602 (2011) - 2010
- [c1]Angelo Cenedese, Federico Cerruti, Mirko Fabbro, Chiara Masiero, Luca Schenato:
Decentralized task assignment in camera networks. CDC 2010: 126-131
Coauthor Index
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last updated on 2024-10-31 21:11 CET by the dblp team
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