Gian Antonio Susto

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 119

Top Venues

CoRR

Eng. Appl. Artif. Intell.

CASE

IEEE Trans Autom. Sci. Eng.

Publications

Matteo Cederle, Marco Fabris, Gian Antonio Susto
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning. CoRR (2024)
Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. CoRR (2024)
Xi Sun, Alessandro Beghi, Gian Antonio Susto, Zhimin Lv
Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing. Comput. Ind. Eng. 196 (2024)
Luca Vittorio Piron, Matteo Cederle, Marina Ceccon, Federico Chiariotti, Alessandro Fabris, Marco Fabris, Gian Antonio Susto
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. CoRR (2024)
Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. CoRR (2024)
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
An AI-Enabled Framework for Smart Semiconductor Manufacturing. DATE (2024)
Mattia Carletti, Alberto Sinigaglia, Matteo Terzi, Gian Antonio Susto
On the limitations of adversarial training for robust image classification with convolutional neural networks. Inf. Sci. 675 (2024)
Alberto Sinigaglia, Niccolò Turcato, Alberto Dalla Libera, Ruggero Carli, Gian Antonio Susto
Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods. CoRR (2024)
Davide Frizzo, Francesco Borsatti, Alessio Arcudi, Antonio De Moliner, Roberto Oboe, Gian Antonio Susto
Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI. CoRR (2024)
Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto
AcME-AD: Accelerated Model Explanations for Anomaly Detection. CoRR (2024)
Valentina Zaccaria, Davide Sartor, Simone Del Favero, Gian Antonio Susto
Fault Identification Enhancement with Reinforcement Learning (FIERL). CoRR (2024)
Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
Fairness Evolution in Continual Learning for Medical Imaging. CoRR (2024)
Matteo Terzi, Mattia Carletti, Gian Antonio Susto
Improving robustness with image filtering. Neurocomputing 596 (2024)
Matteo Tremonti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning. PerCom Workshops (2024)
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 (2024)
Davide Sartor, Tommaso Barbariol, Gian Antonio Susto
Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection. Eng. Appl. Artif. Intell. 130 (2024)
Natalie Gentner, Gian Antonio Susto
Heterogeneous domain adaptation and equipment matching: DANN-based Alignment with Cyclic Supervision (DBACS). Comput. Ind. Eng. 187 (2024)
Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. CoRR (2024)
Elisa Marcelli, Tommaso Barbariol, Davide Sartor, Gian Antonio Susto
Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback. Inf. Sci. 678 (2024)
Valentina Zaccaria, Davide Sartor, Gian Antonio Susto
Extended B-ALIF: Improving Anomaly Detection with Human Feedback. MED (2024)
Tommaso Barbariol, Davide Masiero, Enrico Feltresi, Gian Antonio Susto
Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters. CoRR (2023)
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data. Expert Syst. Appl. 232 (2023)
Seán F. McLoone, Kevin Guelton, Thierry-Marie Guerra, Gian Antonio Susto, Jus Kocijan, Diego Romeres
Introduction to the special issue on Intelligent Control and Optimisation. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Mattia Fanan, Claudio Baron, Ruggero Carli, Marc-Aurèle Divernois, Jean-Christophe Marongiu, Gian Antonio Susto
Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach. INDIN (2023)
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)
Loredana Cristaldi, Parisa Esmaili, Giambattista Gruosso, Alessio La Bella, Massimo Mecella, Riccardo Scattolini, Ala Arman, Gian Antonio Susto, Letizia Tanca
The MICS Project: A Data Science Pipeline for Industry 4.0 Applications. MetroXRAINE (2023)
Alessandro Fabris, Fabio Giachelle, Alberto Piva, Gianmaria Silvello, Gian Antonio Susto
A Search Engine for Algorithmic Fairness Datasets. EWAF (2023)
Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone
Lazy FSCA for unsupervised variable selection. Eng. Appl. Artif. Intell. 124 (2023)
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. Eng. Appl. Artif. Intell. 119 (2023)
Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
Dissatisfaction Induced by Pairwise Swaps. IIR (2023)
Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
Pairwise Fairness in Ranking as a Dissatisfaction Measure. WSDM (2023)
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 (2023)
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)
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 (2023)
Alessio Arcudi, Davide Frizzo, Chiara Masiero, Gian Antonio Susto
ExIFFI and EIF+: Interpretability and Enhanced Generalizability to Extend the Extended Isolation Forest. CoRR (2023)
Natalie Gentner, Gian Antonio Susto
Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS). CoRR (2023)
Luciano Lorenti, Gian Antonio Susto
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds. J. Open Source Softw. 8 (89) (2023)
Tommaso Barbariol, Gian Antonio Susto
TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios. Inf. Sci. 610 (2022)
Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
Learning to Rank from Relevance Judgments Distributions. CoRR (2022)
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) (2022)
Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto
A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Elisa Marcelli, Tommaso Barbariol, Gian Antonio Susto
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems. CoRR (2022)
Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
Algorithmic fairness datasets: the story so far. Data Min. Knowl. Discov. 36 (6) (2022)
Francesco Simmini, Mirco Rampazzo, Fabio Peterle, Gian Antonio Susto, Alessandro Beghi
A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems. IEEE Trans. Control. Syst. Technol. 30 (4) (2022)
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 (2022)
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. Eng. Appl. Artif. Intell. 109 (2022)
Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Sebastiano Gaiardelli, Stefano Spellini, Andrea Calimera, Alessandro Beghi, Gian Antonio Susto, Franco Fummi, Enrico Macii, Sara Vinco
SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. LATS (2022)
Elisa Marcelli, Tommaso Barbariol, Vincenzo Savarino, Alessandro Beghi, Gian Antonio Susto
A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points. LATS (2022)
Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
Learning to rank from relevance judgments distributions. J. Assoc. Inf. Sci. Technol. 73 (9) (2022)
Luciano Lorenti, Gaia De Rossi, Alberto Annoni, Silvano Rigutto, Gian Antonio Susto
CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations. CCTA (2022)
Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto
Continual Learning Approaches for Anomaly Detection. CoRR (2022)
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
On the Properties of Adversarially-Trained CNNs. CoRR (2022)
Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets. EAAMO (2022)
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)
Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
Algorithmic Fairness Datasets: the Story so Far. CoRR (2022)
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
Band Relevance Factor (BRF): a novel automatic frequency band selection method based on vibration analysis for rotating machinery. CoRR (2022)
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data. CoRR (2022)
Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
Learning to Rank from Relevance Judgments Distributions. IIR (2022)
Alberto Purpura, Giuseppe Sartori, Dora Giorgianni, Graziella Orrú, Gian Antonio Susto
Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders. Informatics 9 (1) (2022)
Alberto Purpura, Gian Antonio Susto
A Bayesian Neural Model for Documents' Relevance Estimation. DESIRES (2021)
Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone
Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study. CoRR (2021)
Matteo Terzi, Mattia Carletti, Gian Antonio Susto
Improving Robustness with Image Filtering. CoRR (2021)
Simone Tedesco, Gian Antonio Susto, Natalie Gentner, Andreas Kyek, Yao Yang
A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing. WSC (2021)
Nicolò Bargellesi, Alessandro Beghi, Mirco Rampazzo, Gian Antonio Susto
AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. IEEE Robotics Autom. Lett. 6 (3) (2021)
Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. AIES (2021)
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 (2021)
Michele Berno, Marco Canil, Nicola Chiarello, Luca Piazzon, Fabio Berti, Francesca Ferrari, Alessandro Zaupa, Nicola Ferro, Michele Rossi, Gian Antonio Susto
A Data Management and Anomaly Detection Solution for the Entertainment Industry (Discussion Paper). SEBD (2021)
Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto
Neural Feature Selection for Learning to Rank. CoRR (2021)
Luca Brunelli, Massimiliano Viola, Gian Antonio Susto
Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach. AIABI@AI*IA (2021)
Tommaso Barbariol, Gian Antonio Susto
TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios. CoRR (2021)
Michele Berno, Marco Canil, Nicola Chiarello, Luca Piazzon, Fabio Berti, Francesca Ferrari, Alessandro Zaupa, Nicola Ferro, Michele Rossi, Gian Antonio Susto
A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry. MetroInd4.0&IoT (2021)
Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. IIR (2021)
Luca Frau, Gian Antonio Susto, Tommaso Barbariol, Enrico Feltresi
Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications. Informatics 8 (3) (2021)
Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
Incentives for Item Duplication under Fair Ranking Policies. CoRR (2021)
Davide Marcato, Giovanni Arena, Damiano Bortolato, Fabio Gelain, Valentina Martinelli, Enrico Munaron, Marco Roetta, Giovanni Savarese, Gian Antonio Susto
Machine Learning-based Anomaly Detection for Particle Accelerators. CCTA (2021)
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
Adversarial Training Reduces Information and Improves Transferability. AAAI (2021)
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction. Informatics 8 (4) (2021)
Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto
Neural Feature Selection for Learning to Rank. ECIR (2) (2021)
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery. CoRR (2021)
Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. CoRR (2021)
Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
Incentives for Item Duplication Under Fair Ranking Policies. BIAS (2021)
Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. Inf. Process. Manag. 57 (6) (2020)
Davide Biasion, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
Gender Bias in Italian Word Embeddings. CLiC-it (2020)
Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek
Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. WSC (2020)
Gian Antonio Susto, Marco Maggipinto, Federico Zocco, Seán F. McLoone
Induced Start Dynamic Sampling for Wafer Metrology Optimization. IEEE Trans Autom. Sci. Eng. 17 (1) (2020)
Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari
Proximal Deterministic Policy Gradient. CoRR (2020)
Natalie Gentner, Andreas Kyek, Yao Yang, Mattia Carletti, Gian Antonio Susto
Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. WSC (2020)
Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari
Directional adversarial training for cost sensitive deep learning classification applications. Eng. Appl. Artif. Intell. 91 (2020)
Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. CoRR (2020)
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
Adversarial Training Reduces Information and Improves Transferability. CoRR (2020)
Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari
Proximal Deterministic Policy Gradient. IROS (2020)
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. CoRR (2020)
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
β-Variational Classifiers Under Attack. CoRR (2020)
Lorenzo Meneghetti, Matteo Terzi, Simone Del Favero, Gian Antonio Susto, Claudio Cobelli
Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Trans. Control. Syst. Technol. 28 (1) (2020)
Mattia Zanon, Giuliano Zambonin, Gian Antonio Susto, Seán F. McLoone
Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations. Algorithms 13 (6) (2020)
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. CoRR (2020)
Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto
Feature Selection for Emotion Classification. IIR (2019)
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)
Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli
Robot kinematic structure classification from time series of visual data. ECC (2019)
Mohd Azraai Mohd Razman, Gian Antonio Susto, Angelo Cenedese, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Ahmad Shahrizan Abdul Ghani, Faeiz Azizi Adnan, Khairul Muttaqin Ismail, Zahari Taha, Yukinori Mukai
by means of an automated feeder and image processing. Comput. Electron. Agric. 163 (2019)

Gian Antonio Susto.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Gian Antonio Susto