Gian Antonio Susto
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
21
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge. | Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto |
| 2025 | ICML | Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations. | Davide Sartor, Alberto Sinigaglia, Gian Antonio Susto |
| 2025 | WACV | Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. | Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto |
| 2024 | CoDIT | Enhancing Predictive Analytics in Semiconductor Manufacturing: A Deep Learning Approach for Overall Equipment Efficiency Estimation. | Filippo Boni, Riccardo De Monte, Yao Yang, Natalie Gentner, Joon Khim Low, Gian Antonio Susto |
| 2024 | CoDIT | 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 |
| 2024 | CVPR | Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. | Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto |
| 2024 | DATE | An AI-Enabled Framework for Smart Semiconductor Manufacturing. | Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall'Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii, Alessio Mascolini, Daniele Pagano, Francesco Ponzio, Gian Antonio Susto, Sara Vinco |
| 2024 | ECCV | Latent Distillation for Continual Object Detection at the Edge. | Francesco Pasti, Marina Ceccon, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto |
| 2024 | PERCOM | An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning. | Matteo Tremonti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto |
| 2023 | FDL | 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 |
| 2023 | INDIN | Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach. | Mattia Fanan, Claudio Baron, Ruggero Carli, Marc-Aurle Divernois, Jean-Christophe Marongiu, Gian Antonio Susto |
| 2023 | INDIN | 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 |
| 2023 | WSDM | Pairwise Fairness in Ranking as a Dissatisfaction Measure. | Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega |
| 2021 | AAAI | Adversarial Training Reduces Information and Improves Transferability. | Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto |
| 2021 | AIES | Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. | Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello |
| 2021 | ECIR | Neural Feature Selection for Learning to Rank. | Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto |
| 2021 | WSC | A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing. | Simone Tedesco, Gian Antonio Susto, Natalie Gentner, Andreas Kyek, Yao Yang |
| 2020 | IROS | Proximal Deterministic Policy Gradient. | Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari |
| 2020 | WSC | Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. | Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek |
| 2020 | WSC | Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. | Natalie Gentner, Andreas Kyek, Yao Yang, Mattia Carletti, Gian Antonio Susto |
| 2019 | INDIN | A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing. | Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto |
| 2019 | ICTIR | Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now). | Alberto Purpura, Marco Maggipinto, Gianmaria Silvello, Gian Antonio Susto |
| 2019 | SMC | 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 |
| 2019 | WWW | Supervised Lexicon Extraction for Emotion Classification. | Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto |
| 2018 | DIS | WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews. | Alberto Purpura, Chiara Masiero, Gian Antonio Susto |
| 2018 | BSN | A machine learning approach for gesture recognition with a lensless smart sensor system. | Niccolo Norman, Andrea Urru, Lizy Abraham, Michael J. Walsh, Salvatore Tedesco, Angelo Cenedese, Gian Antonio Susto, Brendan O'Flynn |
| 2016 | ETFA | Dealing with time-series data in Predictive Maintenance problems. | Gian Antonio Susto, Alessandro Beghi |
| 2013 | ETFA | Prediction of integral type failures in semiconductor manufacturing through classification methods. | Gian Antonio Susto, Sen F. McLoone, Daniele Pagano, Andrea Schirru, Simone Pampuri, Alessandro Beghi |
| 2011 | ETFA | A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering. | Gian Antonio Susto, Alessandro Beghi, Cristina De Luca |