Decentralized task assignment in camera networks. - Angelo Cenedese; Federico Cerruti; Mirko Fabbro; Chiara Masiero; Luca Schenato 001 (CDC, 2010)

A new metric for multivariate spectral estimation leading to lowest complexity spectra. - Augusto Ferrante; Chiara Masiero; Michele Pavon (CDC/ECC, 2011)

Time and Spectral Domain Relative Entropy: A New Approach to Multivariate Spectral Estimation. - Augusto Ferrante; Chiara Masiero; Michele Pavon (IEEE Trans. Autom. Control., 2012)

On the multivariate circulant rational covariance extension problem. - Anders Lindquist; Chiara Masiero; Giorgio Picci (CDC, 2013)

On the Achievable Error Region of Physical Layer Authentication Techniques over Rayleigh Fading Channels - Augusto Ferrante; Nicola Laurenti; Chiara Masiero; Michele Pavon; Stefano Tomasin (CoRR, 2013)

On the Error Region for Channel Estimation-Based Physical Layer Authentication Over Rayleigh Fading. - Augusto Ferrante; Nicola Laurenti; Chiara Masiero; Michele Pavon; Stefano Tomasin (IEEE Trans. Inf. Forensics Secur., 2015)

Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. - Matteo Terzi; Chiara Masiero; Alessandro Beghi; Marco Maggipinto; Gian Antonio Susto (RTSI, 2017)

A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. - Gian Antonio Susto; Matteo Terzi; Chiara Masiero; Simone Pampuri; Andrea Schirru (AI4I, 2018)

WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews. - Alberto Purpura; Chiara Masiero; Gian Antonio Susto (DS, 2018)

Feature Selection for Emotion Classification. - Alberto Purpura; Chiara Masiero; Gianmaria Silvello; Gian Antonio Susto (IIR, 2019)

Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. - Mattia Carletti; Chiara Masiero; Alessandro Beghi; Gian Antonio Susto (SMC, 2019)

Supervised Lexicon Extraction for Emotion Classification. - Alberto Purpura; Chiara Masiero; Gianmaria Silvello; Gian Antonio Susto (WWW (Companion Volume), 2019)

Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis. - Eugenia Anello; Chiara Masiero; Fabiana Federica Ferro; Francesca Ferrari; Bleona Mukaj; Alessandro Beghi; Gian Antonio Susto (CCTA, 2022)

Continual Learning Approaches for Anomaly Detection. - Davide Dalle Pezze; Eugenia Anello; Chiara Masiero; Gian Antonio Susto (CoRR, 2022)

FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. - Davide Dalle Pezze; Chiara Masiero; Diego Tosato; Alessandro Beghi; Gian Antonio Susto (IEEE Trans Autom. Sci. Eng., 2022)

Alarm Logs in Packaging Industry (ALPI). - Diego Tosato; Davide Dalle Pezze; Chiara Masiero; Gian Antonio Susto; Alessandro Beghi (IEEE DataPort, 2022)

VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. - Alessandro Beghi; Nicola Dall'Ora; Davide Dalle Pezze; Franco Fummi; Chiara Masiero; Stefano Spellini; Gian Antonio Susto; Francesco Tosoni 002 (FDL, 2023)

Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation. - Luciano Lorenti; Davide Dalle Pezze; Jacopo Andreoli; Chiara Masiero; Natalie Gentner; Yao Yang; Gian Antonio Susto (INDIN, 2023)

ExIFFI and EIF+: Interpretability and Enhanced Generalizability to Extend the Extended Isolation Forest. - Alessio Arcudi; Davide Frizzo; Chiara Masiero; Gian Antonio Susto (CoRR, 2023)

A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. - Davide Dalle Pezze; Denis Deronjic; Chiara Masiero; Diego Tosato; Alessandro Beghi; Gian Antonio Susto (Eng. Appl. Artif. Intell., 2023)

AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box. - David Dandolo; Chiara Masiero; Mattia Carletti; Davide Dalle Pezze; Gian Antonio Susto (Expert Syst. Appl., 2023)

Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD. - Valentina Zaccaria; Chiara Masiero; David Dandolo; Gian Antonio Susto (CoDIT, 2024)

AcME-AD: Accelerated Model Explanations for Anomaly Detection. - Valentina Zaccaria; David Dandolo; Chiara Masiero; Gian Antonio Susto (xAI (4), 2024)

Enhancing interpretability and generalizability in extended isolation forests. - Alessio Arcudi; Davide Frizzo; Chiara Masiero; Gian Antonio Susto (Eng. Appl. Artif. Intell., 2024)