Control of PDE-ODE cascades with Neumann interconnections. - Gian Antonio Susto; Miroslav Krstic (J. Frankl. Inst., 2010)

A Predictive Maintenance System for Silicon Epitaxial Deposition. - Gian Antonio Susto; Alessandro Beghi; Cristina De Luca (CASE, 2011)

A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering. - Gian Antonio Susto; Alessandro Beghi; Cristina De Luca (ETFA, 2011)

Least angle regression for semiconductor manufacturing modeling. - Gian Antonio Susto; Alessandro Beghi (CCA, 2012)

Multistep virtual metrology approaches for semiconductor manufacturing processes. - Simone Pampuri; Andrea Schirru; Gian Antonio Susto; Cristina De Luca; Alessandro Beghi; Giuseppe De Nicolao (CASE, 2012)

An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control. - Gian Antonio Susto; Andrea Schirru; Simone Pampuri; Giuseppe De Nicolao; Alessandro Beghi (CASE, 2012)

Learning from time series: Supervised Aggregative Feature Extraction. - Andrea Schirru; Gian Antonio Susto; Simone Pampuri; Seán F. McLoone (CDC, 2012)

Virtual metrology enabled early stage prediction for enhanced control of multi-stage fabrication processes. - Gian Antonio Susto; Adrian B. Johnston; Paul G. O'Hara; Seán F. McLoone (CASE, 2013)

A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation. - Gian Antonio Susto; Andrea Schirru; Simone Pampuri; Daniele Pagano; Seán F. McLoone; Alessandro Beghi (CASE, 2013)

Prediction of integral type failures in semiconductor manufacturing through classification methods. - Gian Antonio Susto; Seán F. McLoone; Daniele Pagano; Andrea Schirru; Simone Pampuri; Alessandro Beghi (ETFA, 2013)

Insight extraction for semiconductor manufacturing processes. - Simone Pampuri; Gian Antonio Susto; Jian Wan 002; Adrian B. Johnston; Paul G. O'Hara; Seán F. McLoone (CASE, 2014)

An adaptive machine learning decision system for flexible predictive maintenance. - Gian Antonio Susto; Jian Wan 002; Simone Pampuri; Mattia Zanon; Adrian B. Johnston; Paul G. O'Hara; Seán F. McLoone (CASE, 2014)

A machine learning based approach for gesture recognition from inertial measurements. - Giuseppe Belgioioso; Angelo Cenedese; Giuseppe Ilario Cirillo; Francesco Fraccaroli; Gian Antonio Susto (CDC, 2014)

Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach. - Gian Antonio Susto; Seán F. McLoone (CASE, 2015)

Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach. - Gian Antonio Susto; Simone Pampuri; Andrea Schirru; Alessandro Beghi; Giuseppe De Nicolao (Comput. Oper. Res., 2015)

Home Automation Oriented Gesture Classification From Inertial Measurements. - Angelo Cenedese; Gian Antonio Susto; Giuseppe Belgioioso; Giuseppe Ilario Cirillo; Francesco Fraccaroli (IEEE Trans Autom. Sci. Eng., 2015)

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach. - Gian Antonio Susto; Andrea Schirru; Simone Pampuri; Seán F. McLoone; Alessandro Beghi (IEEE Trans. Ind. Informatics, 2015)

Dealing with time-series data in Predictive Maintenance problems. - Gian Antonio Susto; Alessandro Beghi (ETFA, 2016)

A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing. - Angelo Cenedese; Gian Antonio Susto; Matteo Terzi (ECC, 2016)

Human Activity Recognition with Wearable Devices: A Symbolic Approach. - Angelo Cenedese; Luca Minetto; Gian Antonio Susto; Matteo Terzi (PsychNology J., 2016)

Supervised Aggregative Feature Extraction for Big Data Time Series Regression. - Gian Antonio Susto; Andrea Schirru; Simone Pampuri; Seán F. McLoone (IEEE Trans. Ind. Informatics, 2016)

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)

A machine learning approach for gesture recognition with a lensless smart sensor system. - Niccolo Norman; Andrea Urru; Lizy Abraham; Michael J. Walsh 001; Salvatore Tedesco; Angelo Cenedese; Gian Antonio Susto; Brendan O'Flynn (BSN, 2018)

Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers. - Giuliano Zambonin; Fabio Altinier; Lorenzo Corso; Mattia Sessolo; Alessandro Beghi; Gian Antonio Susto (CASE, 2018)

A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines. - Gian Antonio Susto; Giuliano Zambonin; Fabio Altinier; Elena Pesavento; Alessandro Beghi (CCTA, 2018)

Fault Detection in Artificial Pancreas: A Model-Free approach. - Lorenzo Meneghetti; Matteo Terzi; Gian Antonio Susto; Simone Del Favero; Claudio Cobelli (CDC, 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)

Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines. - Gian Antonio Susto; Marco Maggipinto; Giulia Zannon; Fabio Altinier; Elena Pesavento; Alessandro Beghi (ECC, 2018)

A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles. - Seán F. McLoone; Adrian B. Johnston; Gian Antonio Susto (IEEE Trans Autom. Sci. Eng., 2018)

What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction. - Marco Maggipinto; Gian Antonio Susto; Federico Zocco; Seán F. McLoone (CASE, 2019)

Robot kinematic structure classification from time series of visual data. - Alberto Dalla Libera; Matteo Terzi; Alessandro Rossi 004; Gian Antonio Susto; Ruggero Carli (ECC, 2019)

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 (ICTIR, 2019)

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

A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing. - Marco Maggipinto; Alessandro Beghi; Gian Antonio Susto (INDIN, 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)

Hunger classification of Lates calcarifer by means of an automated feeder and image processing. - 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 (Comput. Electron. Agric., 2019)

Gender Bias in Italian Word Embeddings. - Davide Biasion; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto (CLiC-it, 2020)

Proximal Deterministic Policy Gradient. - Marco Maggipinto; Gian Antonio Susto; Pratik Chaudhari (IROS, 2020)

Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. - Mattia Carletti; Marco Maggipinto; Alessandro Beghi; Gian Antonio Susto; Natalie Gentner; Yao Yang; Andreas Kyek (WSC, 2020)

Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. - Natalie Gentner; Andreas Kyek; Yao Yang; Mattia Carletti; Gian Antonio Susto (WSC, 2020)

Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations. - Mattia Zanon; Giuliano Zambonin; Gian Antonio Susto; Seán F. McLoone (Algorithms, 2020)

β-Variational Classifiers Under Attack. - Marco Maggipinto; Matteo Terzi; Gian Antonio Susto (CoRR, 2020)

Directional adversarial training for cost sensitive deep learning classification applications. - Matteo Terzi; Gian Antonio Susto; Pratik Chaudhari (Eng. Appl. Artif. Intell., 2020)

Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. - Alessandro Fabris; Alberto Purpura; Gianmaria Silvello; Gian Antonio Susto (Inf. Process. Manag., 2020)

Induced Start Dynamic Sampling for Wafer Metrology Optimization. - Gian Antonio Susto; Marco Maggipinto; Federico Zocco; Seán F. McLoone (IEEE Trans Autom. Sci. Eng., 2020)

Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. - Lorenzo Meneghetti; Matteo Terzi; Simone Del Favero; Gian Antonio Susto; Claudio Cobelli (IEEE Trans. Control. Syst. Technol., 2020)

Adversarial Training Reduces Information and Improves Transferability. - Matteo Terzi; Alessandro Achille; Marco Maggipinto; Gian Antonio Susto (AAAI, 2021)

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 (AIES, 2021)

Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach. - Luca Brunelli; Massimiliano Viola; Gian Antonio Susto (AIABI@AI*IA, 2021)

Incentives for Item Duplication Under Fair Ranking Policies. - Giorgio Maria Di Nunzio; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto (BIAS, 2021)

Machine Learning-based Anomaly Detection for Particle Accelerators. - Davide Marcato; Giovanni Arena; Damiano Bortolato; Fabio Gelain; Valentina Martinelli; Enrico Munaron; Marco Roetta; Giovanni Savarese; Gian Antonio Susto (CCTA, 2021)

A Bayesian Neural Model for Documents' Relevance Estimation. - Alberto Purpura; Gian Antonio Susto (DESIRES, 2021)

Neural Feature Selection for Learning to Rank. - Alberto Purpura; Karolina Buchner; Gianmaria Silvello; Gian Antonio Susto (ECIR (2), 2021)

Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. - Alessandro Fabris; Alberto Purpura; Gianmaria Silvello; Gian Antonio Susto (IIR, 2021)

A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry. - Michele Berno; Marco Canil; Nicola Chiarello; Luca Piazzon; Fabio Berti; Francesca Ferrari; Alessandro Zaupa; Nicola Ferro 001; Michele Rossi; Gian Antonio Susto (MetroInd4.0&IoT, 2021)

A Data Management and Anomaly Detection Solution for the Entertainment Industry (Discussion Paper). - Michele Berno; Marco Canil; Nicola Chiarello; Luca Piazzon; Fabio Berti; Francesca Ferrari; Alessandro Zaupa; Nicola Ferro 001; Michele Rossi; Gian Antonio Susto (SEBD, 2021)

A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing. - Simone Tedesco; Gian Antonio Susto; Natalie Gentner; Andreas Kyek; Yao Yang (WSC, 2021)

An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery. - Lucas Costa Brito; Gian Antonio Susto; Jorge Nei Brito; Marcus Antonio Viana Duarte (CoRR, 2021)

Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study. - Federico Zocco; Marco Maggipinto; Gian Antonio Susto; Seán F. McLoone (CoRR, 2021)

Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction. - Lucas Costa Brito; Gian Antonio Susto; Jorge Nei Brito; Marcus Antonio Viana Duarte (Informatics, 2021)

Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications. - Luca Frau; Gian Antonio Susto; Tommaso Barbariol; Enrico Feltresi (Informatics, 2021)

AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. - Nicolò Bargellesi; Alessandro Beghi; Mirco Rampazzo; Gian Antonio Susto (IEEE Robotics Autom. Lett., 2021)

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)

CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations. - Luciano Lorenti; Gaia De Rossi; Alberto Annoni; Silvano Rigutto; Gian Antonio Susto (CCTA, 2022)

Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets. - Alessandro Fabris; Stefano Messina; Gianmaria Silvello; Gian Antonio Susto (EAAMO, 2022)

SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. - Khaled Sidahmed Sidahmed Alamin; Yukai Chen; Sebastiano Gaiardelli; Stefano Spellini; Andrea Calimera; Alessandro Beghi; Gian Antonio Susto; Franco Fummi; Enrico Macii; Sara Vinco (LATS, 2022)

A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points. - Elisa Marcelli; Tommaso Barbariol; Vincenzo Savarino; Alessandro Beghi; Gian Antonio Susto (LATS, 2022)

On the Properties of Adversarially-Trained CNNs. - Mattia Carletti; Matteo Terzi; Gian Antonio Susto (CoRR, 2022)

Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems. - Elisa Marcelli; Tommaso Barbariol; Gian Antonio Susto (CoRR, 2022)

Band Relevance Factor (BRF): a novel automatic frequency band selection method based on vibration analysis for rotating machinery. - Lucas Costa Brito; Gian Antonio Susto; Jorge Nei Brito; Marcus Antonio Viana Duarte (CoRR, 2022)

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

Algorithmic fairness datasets: the story so far. - Alessandro Fabris; Stefano Messina; Gianmaria Silvello; Gian Antonio Susto (Data Min. Knowl. Discov., 2022)

IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. - Marco Maggipinto; Matteo Terzi; Gian Antonio Susto (Eng. Appl. Artif. Intell., 2022)

Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders. - Alberto Purpura; Giuseppe Sartori; Dora Giorgianni; Graziella Orrù; Gian Antonio Susto (Informatics, 2022)

TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios. - Tommaso Barbariol; Gian Antonio Susto (Inf. Sci., 2022)

Learning to rank from relevance judgments distributions. - Alberto Purpura; Gianmaria Silvello; Gian Antonio Susto (J. Assoc. Inf. Sci. Technol., 2022)

A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study. - Marco Maggipinto; Alessandro Beghi; Gian Antonio Susto (IEEE Trans Autom. Sci. Eng., 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)

A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems. - Francesco Simmini; Mirco Rampazzo; Fabio Peterle; Gian Antonio Susto; Alessandro Beghi (IEEE Trans. Control. Syst. Technol., 2022)

Algorithmic Fairness Datasets. - Alessandro Fabris; Stefano Messina; Alberto Piva; Gian Antonio Susto; Gianmaria Silvello (Zenodo, 2022)

Algorithmic Fairness Datasets. - Alessandro Fabris; Stefano Messina; Alberto Piva; Gian Antonio Susto; Gianmaria Silvello (Zenodo, 2022)

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

Algorithmic Fairness Datasets. - Alessandro Fabris; Stefano Messina; Alberto Piva; Gian Antonio Susto; Gianmaria Silvello (Zenodo, 2022)

A Search Engine for Algorithmic Fairness Datasets. - Alessandro Fabris; Fabio Giachelle; Alberto Piva; Gianmaria Silvello; Gian Antonio Susto (EWAF, 2023)

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)

Dissatisfaction Induced by Pairwise Swaps. - Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Asia J. Biega (IIR, 2023)

Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach. - Mattia Fanan; Claudio Baron; Ruggero Carli; Marc-Aurèle Divernois; Jean-Christophe Marongiu; Gian Antonio Susto (INDIN, 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)

The MICS Project: A Data Science Pipeline for Industry 4.0 Applications. - Loredana Cristaldi; Parisa Esmaili; Giambattista Gruosso; Alessio La Bella; Massimo Mecella; Riccardo Scattolini; Ala Arman; Gian Antonio Susto; Letizia Tanca (MetroXRAINE, 2023)

Pairwise Fairness in Ranking as a Dissatisfaction Measure. - Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Asia J. Biega (WSDM, 2023)

Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters. - Tommaso Barbariol; Davide Masiero; Enrico Feltresi; Gian Antonio Susto (CoRR, 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)

Introduction to the special issue on Intelligent Control and Optimisation. - Seán F. McLoone; Kevin Guelton; Thierry-Marie Guerra; Gian Antonio Susto; Jus Kocijan; Diego Romeres (Eng. Appl. Artif. Intell., 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)

Lazy FSCA for unsupervised variable selection. - Federico Zocco; Marco Maggipinto; Gian Antonio Susto; Seán F. McLoone (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)

Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. - Mattia Carletti; Matteo Terzi; Gian Antonio Susto (Eng. Appl. Artif. Intell., 2023)

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds. - Luciano Lorenti; Gian Antonio Susto (J. Open Source Softw., 2023)

Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data. - Lucas Costa Brito; Gian Antonio Susto; Jorge Nei Brito; Marcus Antonio Viana Duarte (Expert Syst. Appl., 2023)

Fault Identification Enhancement with Reinforcement Learning (FIERL). - Valentina Zaccaria; Davide Sartor; Simone Del Favero; Gian Antonio Susto (ACC, 2024)

A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning. - Matteo Cederle; Marco Fabris; Gian Antonio Susto (ATT@ECAI, 2024)

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 (CoDIT, 2024)

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)

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 (CVPR Workshops, 2024)

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; et al. (DATE, 2024)

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 (ECCV Workshops (11), 2024)

Extended B-ALIF: Improving Anomaly Detection with Human Feedback. - Valentina Zaccaria; Davide Sartor; Gian Antonio Susto (MED, 2024)

Sustainability and Resilience in the MICS SPOKE8 Project: The Role of the Digital Twin. - Nicola Berti; Ala Arman; Parisa Esmaili; Mohsen Zeynivand; Daria Battini; Devis Bianchini; Loredana Cristaldi; Laura Boca de Giuli; Ambra Galeazzo; Giambattista Gruosso; Alessio La Bella; Francesco Leotta; et al. (MetroXRAINE, 2024)

An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning. - Matteo Tremonti; Davide Dalle Pezze; Francesco Paissan; Elisabetta Farella; Gian Antonio Susto (PerCom Workshops, 2024)

Time Series Forecasting to Detect Anomalous Behavior in Multiphase Flow Meters. - Tommaso Barbariol; Davide Masiero; Mattia Fanan; Enrico Feltresi; Gian Antonio Susto (RTSI, 2024)

Interpretable Data-Driven Anomaly Detection in Industrial Processes with ExIFFI. - Davide Frizzo; Francesco Borsatti; Alessio Arcudi; Antonio De Moliner; Roberto Oboe; Gian Antonio Susto (RTSI, 2024)

Supervised and Unsupervised Soft Sensors for Capsule Recognition in Espresso Coffee Machines. - Nicolas Tortora; Antonio De Moliner; Francesco Borsatti; Roberto Oboe; Gian Antonio Susto (RTSI, 2024)

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

Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks. - Emad Efatinasab; Alberto Sinigaglia; Nahal Azadi; Gian Antonio Susto; Mirco Rampazzo (IEEE Access, 2024)

Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing. - Xi Sun; Alessandro Beghi; Gian Antonio Susto; Zhimin Lv (Comput. Ind. Eng., 2024)

Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. - Luca Della Libera; Jacopo Andreoli; Davide Dalle Pezze; Mirco Ravanelli; Gian Antonio Susto (CoRR, 2024)

Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods. - Alberto Sinigaglia; Niccolò Turcato; Alberto Dalla Libera; Ruggero Carli; Gian Antonio Susto (CoRR, 2024)

Fairness Evolution in Continual Learning for Medical Imaging. - Marina Ceccon; Davide Dalle Pezze; Alessandro Fabris; Gian Antonio Susto (CoRR, 2024)

AI Olympics challenge with Evolutionary Soft Actor Critic. - Marco Calì; Alberto Sinigaglia; Niccolò Turcato; Ruggero Carli; Gian Antonio Susto (CoRR, 2024)

Replay Consolidation with Label Propagation for Continual Object Detection. - Riccardo De Monte; Davide Dalle Pezze; Marina Ceccon; Francesco Pasti; Francesco Paissan; Elisabetta Farella; Gian Antonio Susto; Nicola Bellotto (CoRR, 2024)

Tiny Robotics Dataset and Benchmark for Continual Object Detection. - Francesco Pasti; Riccardo De Monte; Davide Dalle Pezze; Gian Antonio Susto; Nicola Bellotto (CoRR, 2024)

Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios. - Alberto Sinigaglia; Niccolò Turcato; Ruggero Carli; Gian Antonio Susto (CoRR, 2024)

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

Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection. - Davide Sartor; Tommaso Barbariol; Gian Antonio Susto (Eng. Appl. Artif. Intell., 2024)

Improving robustness with image filtering. - Matteo Terzi; Mattia Carletti; Gian Antonio Susto (Neurocomputing, 2024)

On the limitations of adversarial training for robust image classification with convolutional neural networks. - Mattia Carletti; Alberto Sinigaglia; Matteo Terzi; Gian Antonio Susto (Inf. Sci., 2024)

Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback. - Elisa Marcelli; Tommaso Barbariol; Davide Sartor; Gian Antonio Susto (Inf. Sci., 2024)

Heterogeneous domain adaptation and equipment matching: DANN-based Alignment with Cyclic Supervision (DBACS). - Natalie Gentner; Gian Antonio Susto (Comput. Ind. Eng., 2024)

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. - Matteo Cederle; Luca Vittorio Piron; Marina Ceccon; Federico Chiariotti; Alessandro Fabris; Marco Fabris; Gian Antonio Susto (ACC, 2025)

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 (CVPR Workshops, 2025)

Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. - Marina Ceccon; Davide Dalle Pezze; Alessandro Fabris; Gian Antonio Susto (WACV, 2025)

Continual Learning for Behavior-based Driver Identification. - Mattia Fanan; Davide Dalle Pezze; Emad Efatinasab; Ruggero Carli; Mirco Rampazzo; Gian Antonio Susto (Eng. Appl. Artif. Intell., 2025)

Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond. - Marina Ceccon; Giandomenico Cornacchia; Davide Dalle Pezze; Alessandro Fabris; Gian Antonio Susto (Expert Syst. Appl., 2025)

Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain. - Marco Rondina; Antonio Vetrò; Riccardo Coppola; Oumaima Regragrui; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Juan Carlos De Martin (CoRR, 2025)

From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms. - Manuel Barusco; Francesco Borsatti; Davide Dalle Pezze; Francesco Paissan; Elisabetta Farella; Gian Antonio Susto (CoRR, 2025)

Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection. - Manuel Barusco; Lorenzo D'Antoni; Davide Dalle Pezze; Francesco Borsatti; Gian Antonio Susto (CoRR, 2025)

Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection. - Riccardo De Monte; Davide Dalle Pezze; Gian Antonio Susto (CoRR, 2025)

Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition. - Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Jean Seong Bjorn Choe; BumKyu Choi; Tim Lukas Faust; Habib Maraqten; Erfan Aghadavoodi; Marco Calì; Alberto Sinigaglia; Giulio Giacomuzzo; Diego Romeres; et al. (CoRR, 2025)

Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement Learning. - Matteo Cederle; Marco Fabris; Gian Antonio Susto (CoRR, 2025)

Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations. - Davide Sartor; Alberto Sinigaglia; Gian Antonio Susto (CoRR, 2025)

Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression. - Arianna Stropeni; Francesco Borsatti; Manuel Barusco; Davide Dalle Pezze; Marco Fabris; Gian Antonio Susto (CoRR, 2025)

Evaluating Modern Visual Anomaly Detection Approaches in Semiconductor Manufacturing: A Comparative Study. - Manuel Barusco; Francesco Borsatti; Youssef Ben Khalifa; Davide Dalle Pezze; Gian Antonio Susto (CoRR, 2025)

Simple and Effective Specialized Representations for Fair Classifiers. - Alberto Sinigaglia; Davide Sartor; Marina Ceccon; Gian Antonio Susto (CoRR, 2025)

Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing. - Adrian Poniatowski; Natalie Gentner; Manuel Barusco; Davide Dalle Pezze; Samuele Salti; Gian Antonio Susto (CoRR, 2025)

A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models. - Davide Frizzo; Francesco Borsatti; Gian Antonio Susto (CoRR, 2025)

Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs. - Marco Rondina; Antonio Vetrò; Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Marco Torchiano; Juan Carlos De Martin (ACM J. Data Inf. Qual., 2025)

A Fairness-Oriented Multi-Objective Reinforcement Learning approach for Autonomous Intersection Management. - Matteo Cederle; Marco Fabris; Gian Antonio Susto (CoRR, 2025)

Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated Robots. - Marco Calì; Alberto Sinigaglia; Niccolò Turcato; Ruggero Carli; Gian Antonio Susto (CoRR, 2025)

MoViAD: A Modular Library for Visual Anomaly Detection. - Manuel Barusco; Francesco Borsatti; Arianna Stropeni; Davide Dalle Pezze; Gian Antonio Susto (CoRR, 2025)

Towards Explainable Anomaly Detection in Shared Mobility Systems. - Elnur Isgandarov; Matteo Cederle; Federico Chiariotti; Gian Antonio Susto (CoRR, 2025)

Explainable Anomaly Detection for Electric Vehicles Charging Stations. - Matteo Cederle; Andrea Mazzucco; Andrea Demartini; Eugenio Mazza; Eugenia Suriani; Federico Vitti; Gian Antonio Susto (CoRR, 2025)