Gian Antonio Susto

200 papers A* 2A 4B 2C 14Misc 4Journal 123Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdapTS: Lightweight Teacher-Student Approach for Multi-Class and Continual Visual Anomaly Detection. CoRR Manuel Barusco, Davide Dalle Pezze, Francesco Borsatti, Gian Antonio Susto
2026	J	`jnl`	Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. IEEE Trans Autom. Sci. Eng. Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto
2026	J	`jnl`	Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing. IEEE Trans Autom. Sci. Eng. Adrian Poniatowski, Natalie Gentner, Manuel Barusco, Davide Dalle Pezze, Samuele Salti, Gian Antonio Susto
2026	J	`jnl`	Efficient Visual Anomaly Detection at the Edge: Enabling Real-Time Industrial Inspection on Resource-Constrained Devices. CoRR Arianna Stropeni, Fabrizio Genilotti, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2026	J	`jnl`	Explainable AI for reinforcement learning based dynamic scheduling solutions in semiconductor manufacturing. J. Intell. Manuf. Alessandro Immordino, Patrick Stöckermann, Niels Hayen, Thomas Altenmüller, Gian Antonio Susto, Martin Gebser, Konstantin Schekotihin, Georg Seidel
2026	J	`jnl`	Guest Editorial:Beyond Classic Deep Learning: Algorithms for Dealing With Real-World Applications in Industrial Automation. IEEE Trans Autom. Sci. Eng. Gian Antonio Susto, Olga Fink, Seokho Kang, Lars Mönch, Davide Dalle Pezze
2026	J	`jnl`	MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection. CoRR Jinwei Hu, Francesco Borsatti, Arianna Stropeni, Davide Dalle Pezze, Manuel Barusco, Gian Antonio Susto
2026	J	`jnl`	Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control. CoRR Riccardo De Monte, Matteo Cederle, Gian Antonio Susto
2026	J	`jnl`	VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery. CoRR Fabrizio Genilotti, Arianna Stropeni, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2025	J	`jnl`	A Fairness-Oriented Multi-Objective Reinforcement Learning approach for Autonomous Intersection Management. CoRR Matteo Cederle, Marco Fabris, Gian Antonio Susto
2025	C	`conf`	A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. ACC Matteo Cederle, Luca Vittorio Piron, Marina Ceccon, Federico Chiariotti, Alessandro Fabris, Marco Fabris, Gian Antonio Susto
2025	J	`jnl`	A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models. CoRR Davide Frizzo, Francesco Borsatti, Gian Antonio Susto
2025	A*	`conf`	Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations. ICML Davide Sartor, Alberto Sinigaglia, Gian Antonio Susto
2025	J	`jnl`	Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations. CoRR Davide Sartor, Alberto Sinigaglia, Gian Antonio Susto
2025	J	`jnl`	Continual Learning for Behavior-based Driver Identification. Eng. Appl. Artif. Intell. Mattia Fanan, Davide Dalle Pezze, Emad Efatinasab, Ruggero Carli, Mirco Rampazzo, Gian Antonio Susto
2025	J	`jnl`	Continual learning approaches for anomaly detection. Evol. Syst. Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto
2025	J	`jnl`	Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing. CoRR Adrian Poniatowski, Natalie Gentner, Manuel Barusco, Davide Dalle Pezze, Samuele Salti, Gian Antonio Susto
2025	J	`jnl`	Edge Delayed Deep Deterministic Policy Gradient: Efficient Continuous Control for Edge Scenarios. IEEE Trans Autom. Sci. Eng. Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Antonio Susto
2025	J	`jnl`	Evaluating Modern Visual Anomaly Detection Approaches in Semiconductor Manufacturing: A Comparative Study. CoRR Manuel Barusco, Francesco Borsatti, Youssef Ben Khalifa, Davide Dalle Pezze, Gian Antonio Susto
2025	J	`jnl`	Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs. ACM J. Data Inf. Qual. Marco Rondina, Antonio Vetrò, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Marco Torchiano, Juan Carlos De Martin
2025	J	`jnl`	Explainable Anomaly Detection for Electric Vehicles Charging Stations. CoRR Matteo Cederle, Andrea Mazzucco, Andrea Demartini, Eugenio Mazza, Eugenia Suriani, Federico Vitti, Gian Antonio Susto
2025	J	`jnl`	Explainable Visual Anomaly Detection via Concept Bottleneck Models. CoRR Arianna Stropeni, Valentina Zaccaria, Francesco Borsatti, Davide Dalle Pezze, Manuel Barusco, Gian Antonio Susto
2025	J	`jnl`	Fair and Efficient allocation of Mobility-on-Demand resources through a Karma Economy. CoRR Matteo Cederle, Saverio Bolognani, Gian Antonio Susto
2025	J	`jnl`	Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated Robots. CoRR Marco Calì, Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Antonio Susto
2025	J	`jnl`	From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms. CoRR Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2025	J	`jnl`	Function Based Isolation Forest (FuBIF): A Unifying Framework for Interpretable Isolation-Based Anomaly Detection. CoRR Alessio Arcudi, Alessandro Ferreri, Francesco Borsatti, Gian Antonio Susto
2025	—	`conf`	Is Underrepresentation overemphasized? A study of data bias and algorithmic fairness. Ital-IA Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2025	J	`jnl`	Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection. CoRR Manuel Barusco, Lorenzo D'Antoni, Davide Dalle Pezze, Francesco Borsatti, Gian Antonio Susto
2025	J	`jnl`	MoViAD: A Modular Library for Visual Anomaly Detection. CoRR Manuel Barusco, Francesco Borsatti, Arianna Stropeni, Davide Dalle Pezze, Gian Antonio Susto
2025	A	`conf`	Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. WACV Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2025	J	`jnl`	Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning. CoRR Alessio Arcudi, Davide Sartor, Alberto Sinigaglia, Vincent François-Lavet, Gian Antonio Susto
2025	—	`conf`	PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge. CVPR Workshops Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2025	J	`jnl`	ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids. CoRR Emad Efatinasab, Nahal Azadi, Davide Dalle Pezze, Gian Antonio Susto, Chuadhry Mujeeb Ahmed, Mirco Rampazzo
2025	J	`jnl`	Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement Learning. CoRR Matteo Cederle, Marco Fabris, Gian Antonio Susto
2025	J	`jnl`	Reinforcement Learning for Durable Algorithmic Recourse. CoRR Marina Ceccon, Alessandro Fabris, Goran Radanovic, Asia J. Biega, Gian Antonio Susto
2025	J	`jnl`	Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition. CoRR 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, Jong-Kook Kim, Gian Antonio Susto, Shubham Vyas, Dennis Mronga, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar
2025	J	`jnl`	Simple and Effective Specialized Representations for Fair Classifiers. CoRR Alberto Sinigaglia, Davide Sartor, Marina Ceccon, Gian Antonio Susto
2025	J	`jnl`	Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection. CoRR Riccardo De Monte, Davide Dalle Pezze, Gian Antonio Susto
2025	J	`jnl`	Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain. CoRR Marco Rondina, Antonio Vetrò, Riccardo Coppola, Oumaima Regragrui, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Juan Carlos De Martin
2025	J	`jnl`	Towards Continual Visual Anomaly Detection in the Medical Domain. CoRR Manuel Barusco, Francesco Borsatti, Nicola Beda, Davide Dalle Pezze, Gian Antonio Susto
2025	J	`jnl`	Towards Explainable Anomaly Detection in Shared Mobility Systems. CoRR Elnur Isgandarov, Matteo Cederle, Federico Chiariotti, Gian Antonio Susto
2025	J	`jnl`	Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression. CoRR Arianna Stropeni, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Marco Fabris, Gian Antonio Susto
2025	J	`jnl`	Underrepresentation, Label Bias, and Proxies: Towards Data Bias Profiles for the EU AI Act and Beyond. CoRR Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2025	J	`jnl`	Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond. Expert Syst. Appl. Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2024	—	`conf`	A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning. ATT@ECAI Matteo Cederle, Marco Fabris, Gian Antonio Susto
2024	J	`jnl`	A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning. CoRR Matteo Cederle, Marco Fabris, Gian Antonio Susto
2024	J	`jnl`	A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. CoRR Luca Vittorio Piron, Matteo Cederle, Marina Ceccon, Federico Chiariotti, Alessandro Fabris, Marco Fabris, Gian Antonio Susto
2024	J	`jnl`	AI Olympics challenge with Evolutionary Soft Actor Critic. CoRR Marco Calì, Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Antonio Susto
2024	—	`conf`	AcME-AD: Accelerated Model Explanations for Anomaly Detection. xAI (4) Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto
2024	J	`jnl`	AcME-AD: Accelerated Model Explanations for Anomaly Detection. CoRR Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto
2024	J	`jnl`	Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback. Inf. Sci. Elisa Marcelli, Tommaso Barbariol, Davide Sartor, Gian Antonio Susto
2024	J	`jnl`	Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks. IEEE Access Emad Efatinasab, Alberto Sinigaglia, Nahal Azadi, Gian Antonio Susto, Mirco Rampazzo
2024	A	`conf`	An AI-Enabled Framework for Smart Semiconductor Manufacturing. DATE 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	—	`conf`	An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning. PerCom Workshops Matteo Tremonti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2024	J	`jnl`	Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. CoRR Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto
2024	J	`jnl`	Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection. Eng. Appl. Artif. Intell. Davide Sartor, Tommaso Barbariol, Gian Antonio Susto
2024	J	`jnl`	Continual Learning for Behavior-based Driver Identification. CoRR Mattia Fanan, Davide Dalle Pezze, Emad Efatinasab, Ruggero Carli, Mirco Rampazzo, Gian Antonio Susto
2024	J	`jnl`	Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing. Comput. Ind. Eng. Xi Sun, Alessandro Beghi, Gian Antonio Susto, Zhimin Lv
2024	J	`jnl`	Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios. CoRR Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Antonio Susto
2024	C	`conf`	Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD. CoDIT Valentina Zaccaria, Chiara Masiero, David Dandolo, Gian Antonio Susto
2024	J	`jnl`	Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD. CoRR Valentina Zaccaria, Chiara Masiero, David Dandolo, Gian Antonio Susto
2024	C	`conf`	Enhancing Predictive Analytics in Semiconductor Manufacturing: A Deep Learning Approach for Overall Equipment Efficiency Estimation. CoDIT Filippo Boni, Riccardo De Monte, Yao Yang, Natalie Gentner, Joon Khim Low, Gian Antonio Susto
2024	J	`jnl`	Enhancing interpretability and generalizability in extended isolation forests. Eng. Appl. Artif. Intell. Alessio Arcudi, Davide Frizzo, Chiara Masiero, Gian Antonio Susto
2024	J	`jnl`	Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods. CoRR Alberto Sinigaglia, Niccolò Turcato, Alberto Dalla Libera, Ruggero Carli, Gian Antonio Susto
2024	—	`conf`	Extended B-ALIF: Improving Anomaly Detection with Human Feedback. MED Valentina Zaccaria, Davide Sartor, Gian Antonio Susto
2024	J	`jnl`	Fairness Evolution in Continual Learning for Medical Imaging. CoRR Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2024	C	`conf`	Fault Identification Enhancement with Reinforcement Learning (FIERL). ACC Valentina Zaccaria, Davide Sartor, Simone Del Favero, Gian Antonio Susto
2024	J	`jnl`	Fault Identification Enhancement with Reinforcement Learning (FIERL). CoRR Valentina Zaccaria, Davide Sartor, Simone Del Favero, Gian Antonio Susto
2024	J	`jnl`	Heterogeneous domain adaptation and equipment matching: DANN-based Alignment with Cyclic Supervision (DBACS). Comput. Ind. Eng. Natalie Gentner, Gian Antonio Susto
2024	J	`jnl`	Improving robustness with image filtering. Neurocomputing Matteo Terzi, Mattia Carletti, Gian Antonio Susto
2024	—	`conf`	Interpretable Data-Driven Anomaly Detection in Industrial Processes with ExIFFI. RTSI Davide Frizzo, Francesco Borsatti, Alessio Arcudi, Antonio De Moliner, Roberto Oboe, Gian Antonio Susto
2024	J	`jnl`	Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI. CoRR Davide Frizzo, Francesco Borsatti, Alessio Arcudi, Antonio De Moliner, Roberto Oboe, Gian Antonio Susto
2024	—	`conf`	Latent Distillation for Continual Object Detection at the Edge. ECCV Workshops (11) Francesco Pasti, Marina Ceccon, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto
2024	J	`jnl`	Latent Distillation for Continual Object Detection at the Edge. CoRR Francesco Pasti, Marina Ceccon, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto
2024	J	`jnl`	Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. CoRR Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto
2024	J	`jnl`	On the limitations of adversarial training for robust image classification with convolutional neural networks. Inf. Sci. Mattia Carletti, Alberto Sinigaglia, Matteo Terzi, Gian Antonio Susto
2024	J	`jnl`	PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge. CoRR Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2024	J	`jnl`	Replay Consolidation with Label Propagation for Continual Object Detection. CoRR Riccardo De Monte, Davide Dalle Pezze, Marina Ceccon, Francesco Pasti, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto
2024	—	`conf`	Supervised and Unsupervised Soft Sensors for Capsule Recognition in Espresso Coffee Machines. RTSI Nicolas Tortora, Antonio De Moliner, Francesco Borsatti, Roberto Oboe, Gian Antonio Susto
2024	—	`conf`	Sustainability and Resilience in the MICS SPOKE8 Project: The Role of the Digital Twin. MetroXRAINE 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, Luca Martiri, Eva Masero, Massimo Mecella, Pierluigi Plebani, Paolo Rocco, Luigi Salmaso, Riccardo Scattolini, Gian Antonio Susto, Letizia Tanca
2024	—	`conf`	Time Series Forecasting to Detect Anomalous Behavior in Multiphase Flow Meters. RTSI Tommaso Barbariol, Davide Masiero, Mattia Fanan, Enrico Feltresi, Gian Antonio Susto
2024	J	`jnl`	Tiny Robotics Dataset and Benchmark for Continual Object Detection. CoRR Francesco Pasti, Riccardo De Monte, Davide Dalle Pezze, Gian Antonio Susto, Nicola Bellotto
2024	—	`conf`	Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. CVPR Workshops Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2024	J	`jnl`	Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. CoRR Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2023	—	`conf`	A Search Engine for Algorithmic Fairness Datasets. EWAF Alessandro Fabris, Fabio Giachelle, Alberto Piva, Gianmaria Silvello, Gian Antonio Susto
2023	J	`jnl`	A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. Eng. Appl. Artif. Intell. Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
2023	J	`jnl`	AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box. Expert Syst. Appl. David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto
2023	C	`conf`	Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach. INDIN Mattia Fanan, Claudio Baron, Ruggero Carli, Marc-Aurèle Divernois, Jean-Christophe Marongiu, Gian Antonio Susto
2023	J	`jnl`	CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds. J. Open Source Softw. Luciano Lorenti, Gian Antonio Susto
2023	—	`conf`	Dissatisfaction Induced by Pairwise Swaps. IIR Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
2023	J	`jnl`	ExIFFI and EIF+: Interpretability and Enhanced Generalizability to Extend the Extended Isolation Forest. CoRR Alessio Arcudi, Davide Frizzo, Chiara Masiero, Gian Antonio Susto
2023	J	`jnl`	Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data. Expert Syst. Appl. Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
2023	J	`jnl`	Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS). CoRR Natalie Gentner, Gian Antonio Susto
2023	J	`jnl`	Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. Eng. Appl. Artif. Intell. Mattia Carletti, Matteo Terzi, Gian Antonio Susto
2023	J	`jnl`	Introduction to the special issue on Intelligent Control and Optimisation. Eng. Appl. Artif. Intell. Seán F. McLoone, Kevin Guelton, Thierry-Marie Guerra, Gian Antonio Susto, Jus Kocijan, Diego Romeres
2023	J	`jnl`	Lazy FSCA for unsupervised variable selection. Eng. Appl. Artif. Intell. Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone
2023	A	`conf`	Pairwise Fairness in Ranking as a Dissatisfaction Measure. WSDM Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
2023	C	`conf`	Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation. INDIN Luciano Lorenti, Davide Dalle Pezze, Jacopo Andreoli, Chiara Masiero, Natalie Gentner, Yao Yang, Gian Antonio Susto
2023	—	`conf`	The MICS Project: A Data Science Pipeline for Industry 4.0 Applications. MetroXRAINE Loredana Cristaldi, Parisa Esmaili, Giambattista Gruosso, Alessio La Bella, Massimo Mecella, Riccardo Scattolini, Ala Arman, Gian Antonio Susto, Letizia Tanca
2023	J	`jnl`	Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters. CoRR Tommaso Barbariol, Davide Masiero, Enrico Feltresi, Gian Antonio Susto
2023	C	`conf`	VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. FDL Alessandro Beghi, Nicola Dall'Ora, Davide Dalle Pezze, Franco Fummi, Chiara Masiero, Stefano Spellini, Gian Antonio Susto, Francesco Tosoni
2022	J	`jnl`	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. Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto
2022	J	`jnl`	A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring. CoRR Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
2022	—	`conf`	A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points. LATS Elisa Marcelli, Tommaso Barbariol, Vincenzo Savarino, Alessandro Beghi, Gian Antonio Susto
2022	J	`jnl`	A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems. IEEE Trans. Control. Syst. Technol. Francesco Simmini, Mirco Rampazzo, Fabio Peterle, Gian Antonio Susto, Alessandro Beghi
2022	J	`jnl`	Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems. CoRR Elisa Marcelli, Tommaso Barbariol, Gian Antonio Susto
2022	J	`jnl`	Algorithmic Fairness Datasets: the Story so Far. CoRR Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022	J	`jnl`	Algorithmic fairness datasets: the story so far. Data Min. Knowl. Discov. Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022	—	`conf`	Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis. CCTA Eugenia Anello, Chiara Masiero, Fabiana Federica Ferro, Francesca Ferrari, Bleona Mukaj, Alessandro Beghi, Gian Antonio Susto
2022	J	`jnl`	Band Relevance Factor (BRF): a novel automatic frequency band selection method based on vibration analysis for rotating machinery. CoRR Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
2022	—	`conf`	CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations. CCTA Luciano Lorenti, Gaia De Rossi, Alberto Annoni, Silvano Rigutto, Gian Antonio Susto
2022	J	`jnl`	Continual Learning Approaches for Anomaly Detection. CoRR Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto
2022	J	`jnl`	FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. IEEE Trans Autom. Sci. Eng. Davide Dalle Pezze, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto
2022	J	`jnl`	Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data. CoRR Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
2022	J	`jnl`	Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders. Informatics Alberto Purpura, Giuseppe Sartori, Dora Giorgianni, Graziella Orrù, Gian Antonio Susto
2022	J	`jnl`	IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. Eng. Appl. Artif. Intell. Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
2022	—	`conf`	Learning to Rank from Relevance Judgments Distributions. IIR Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
2022	J	`jnl`	Learning to Rank from Relevance Judgments Distributions. CoRR Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
2022	J	`jnl`	Learning to rank from relevance judgments distributions. J. Assoc. Inf. Sci. Technol. Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
2022	J	`jnl`	On the Properties of Adversarially-Trained CNNs. CoRR Mattia Carletti, Matteo Terzi, Gian Antonio Susto
2022	—	`conf`	SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. LATS Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Sebastiano Gaiardelli, Stefano Spellini, Andrea Calimera, Alessandro Beghi, Gian Antonio Susto, Franco Fummi, Enrico Macii, Sara Vinco
2022	—	`conf`	Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets. EAAMO Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022	J	`jnl`	TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios. Inf. Sci. Tommaso Barbariol, Gian Antonio Susto
2021	—	`conf`	A Bayesian Neural Model for Documents' Relevance Estimation. DESIRES Alberto Purpura, Gian Antonio Susto
2021	—	`conf`	A Data Management and Anomaly Detection Solution for the Entertainment Industry (Discussion Paper). SEBD Michele Berno, Marco Canil, Nicola Chiarello, Luca Piazzon, Fabio Berti, Francesca Ferrari, Alessandro Zaupa, Nicola Ferro, Michele Rossi, Gian Antonio Susto
2021	—	`conf`	A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry. MetroInd4.0&IoT Michele Berno, Marco Canil, Nicola Chiarello, Luca Piazzon, Fabio Berti, Francesca Ferrari, Alessandro Zaupa, Nicola Ferro, Michele Rossi, Gian Antonio Susto
2021	Misc	`conf`	A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing. WSC Simone Tedesco, Gian Antonio Susto, Natalie Gentner, Andreas Kyek, Yao Yang
2021	J	`jnl`	AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box. CoRR David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto
2021	A*	`conf`	Adversarial Training Reduces Information and Improves Transferability. AAAI Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
2021	C	`conf`	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. AIES Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
2021	J	`jnl`	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. CoRR Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
2021	J	`jnl`	An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery. CoRR Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
2021	J	`jnl`	AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. IEEE Robotics Autom. Lett. Nicolò Bargellesi, Alessandro Beghi, Mirco Rampazzo, Gian Antonio Susto
2021	J	`jnl`	Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction. Informatics Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte
2021	J	`jnl`	Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study. CoRR Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone
2021	J	`jnl`	Improving Robustness with Image Filtering. CoRR Matteo Terzi, Mattia Carletti, Gian Antonio Susto
2021	—	`conf`	Incentives for Item Duplication Under Fair Ranking Policies. BIAS Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
2021	J	`jnl`	Incentives for Item Duplication under Fair Ranking Policies. CoRR Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
2021	—	`conf`	Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach. AIABI@AI*IA Luca Brunelli, Massimiliano Viola, Gian Antonio Susto
2021	—	`conf`	Machine Learning-based Anomaly Detection for Particle Accelerators. CCTA Davide Marcato, Giovanni Arena, Damiano Bortolato, Fabio Gelain, Valentina Martinelli, Enrico Munaron, Marco Roetta, Giovanni Savarese, Gian Antonio Susto
2021	—	`conf`	Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. IIR Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
2021	—	`conf`	Neural Feature Selection for Learning to Rank. ECIR (2) Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto
2021	J	`jnl`	Neural Feature Selection for Learning to Rank. CoRR Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto
2021	J	`jnl`	TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios. CoRR Tommaso Barbariol, Gian Antonio Susto
2021	J	`jnl`	Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications. Informatics Luca Frau, Gian Antonio Susto, Tommaso Barbariol, Enrico Feltresi
2020	J	`jnl`	Adversarial Training Reduces Information and Improves Transferability. CoRR Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
2020	J	`jnl`	Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Trans. Control. Syst. Technol. Lorenzo Meneghetti, Matteo Terzi, Simone Del Favero, Gian Antonio Susto, Claudio Cobelli
2020	J	`jnl`	Directional adversarial training for cost sensitive deep learning classification applications. Eng. Appl. Artif. Intell. Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari
2020	Misc	`conf`	Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. WSC Natalie Gentner, Andreas Kyek, Yao Yang, Mattia Carletti, Gian Antonio Susto
2020	—	`conf`	Gender Bias in Italian Word Embeddings. CLiC-it Davide Biasion, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
2020	J	`jnl`	Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. CoRR Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
2020	J	`jnl`	Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. Inf. Process. Manag. Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
2020	J	`jnl`	Induced Start Dynamic Sampling for Wafer Metrology Optimization. IEEE Trans Autom. Sci. Eng. Gian Antonio Susto, Marco Maggipinto, Federico Zocco, Seán F. McLoone
2020	Misc	`conf`	Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. WSC Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek
2020	J	`jnl`	Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. CoRR Mattia Carletti, Matteo Terzi, Gian Antonio Susto
2020	J	`jnl`	IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. CoRR Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
2020	A	`conf`	Proximal Deterministic Policy Gradient. IROS Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari
2020	J	`jnl`	Proximal Deterministic Policy Gradient. CoRR Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari
2020	J	`jnl`	Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations. Algorithms Mattia Zanon, Giuliano Zambonin, Gian Antonio Susto, Seán F. McLoone
2020	J	`jnl`	β-Variational Classifiers Under Attack. CoRR Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
2019	C	`conf`	A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing. INDIN Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto
2019	J	`jnl`	Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. CoRR Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari
2019	B	`conf`	Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. SMC Mattia Carletti, Chiara Masiero, Alessandro Beghi, Gian Antonio Susto
2019	—	`conf`	Feature Selection for Emotion Classification. IIR Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto
2019	J	`jnl`	Hunger classification of Comput. Electron. Agric. 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
2019	Misc	`conf`	Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now). ICTIR Alberto Purpura, Marco Maggipinto, Gianmaria Silvello, Gian Antonio Susto
2019	—	`conf`	Robot kinematic structure classification from time series of visual data. ECC Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli
2019	J	`jnl`	Robot kinematic structure classification from time series of visual data. CoRR Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli
2019	—	`conf`	Supervised Lexicon Extraction for Emotion Classification. WWW (Companion Volume) Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto
2019	—	`conf`	What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction. CASE Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Seán F. McLoone
2018	—	`conf`	A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. AI4I Gian Antonio Susto, Matteo Terzi, Chiara Masiero, Simone Pampuri, Andrea Schirru
2018	J	`jnl`	A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles. IEEE Trans Autom. Sci. Eng. Seán F. McLoone, Adrian B. Johnston, Gian Antonio Susto
2018	—	`conf`	A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines. CCTA Gian Antonio Susto, Giuliano Zambonin, Fabio Altinier, Elena Pesavento, Alessandro Beghi
2018	C	`conf`	A machine learning approach for gesture recognition with a lensless smart sensor system. BSN Niccolo Norman, Andrea Urru, Lizy Abraham, Michael J. Walsh, Salvatore Tedesco, Angelo Cenedese, Gian Antonio Susto, Brendan O'Flynn
2018	—	`conf`	Fault Detection in Artificial Pancreas: A Model-Free approach. CDC Lorenzo Meneghetti, Matteo Terzi, Gian Antonio Susto, Simone Del Favero, Claudio Cobelli
2018	—	`conf`	Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines. ECC Gian Antonio Susto, Marco Maggipinto, Giulia Zannon, Fabio Altinier, Elena Pesavento, Alessandro Beghi
2018	—	`conf`	Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers. CASE Giuliano Zambonin, Fabio Altinier, Lorenzo Corso, Mattia Sessolo, Alessandro Beghi, Gian Antonio Susto
2018	B	`conf`	WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews. DS Alberto Purpura, Chiara Masiero, Gian Antonio Susto
2017	—	`conf`	Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. RTSI Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto
2016	—	`conf`	A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing. ECC Angelo Cenedese, Gian Antonio Susto, Matteo Terzi
2016	C	`conf`	Dealing with time-series data in Predictive Maintenance problems. ETFA Gian Antonio Susto, Alessandro Beghi
2016	J	`jnl`	Human Activity Recognition with Wearable Devices: A Symbolic Approach. PsychNology J. Angelo Cenedese, Luca Minetto, Gian Antonio Susto, Matteo Terzi
2016	J	`jnl`	Supervised Aggregative Feature Extraction for Big Data Time Series Regression. IEEE Trans. Ind. Informatics Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Seán F. McLoone
2015	J	`jnl`	Home Automation Oriented Gesture Classification From Inertial Measurements. IEEE Trans Autom. Sci. Eng. Angelo Cenedese, Gian Antonio Susto, Giuseppe Belgioioso, Giuseppe Ilario Cirillo, Francesco Fraccaroli
2015	J	`jnl`	Machine Learning for Predictive Maintenance: A Multiple Classifier Approach. IEEE Trans. Ind. Informatics Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Seán F. McLoone, Alessandro Beghi
2015	J	`jnl`	Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach. Comput. Oper. Res. Gian Antonio Susto, Simone Pampuri, Andrea Schirru, Alessandro Beghi, Giuseppe De Nicolao
2015	—	`conf`	Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach. CASE Gian Antonio Susto, Seán F. McLoone
2014	—	`conf`	A machine learning based approach for gesture recognition from inertial measurements. CDC Giuseppe Belgioioso, Angelo Cenedese, Giuseppe Ilario Cirillo, Francesco Fraccaroli, Gian Antonio Susto
2014	—	`conf`	An adaptive machine learning decision system for flexible predictive maintenance. CASE Gian Antonio Susto, Jian Wan, Simone Pampuri, Mattia Zanon, Adrian B. Johnston, Paul G. O'Hara, Seán F. McLoone
2014	—	`conf`	Insight extraction for semiconductor manufacturing processes. CASE Simone Pampuri, Gian Antonio Susto, Jian Wan, Adrian B. Johnston, Paul G. O'Hara, Seán F. McLoone
2013	—	`conf`	A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation. CASE Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Daniele Pagano, Seán F. McLoone, Alessandro Beghi
2013	C	`conf`	Prediction of integral type failures in semiconductor manufacturing through classification methods. ETFA Gian Antonio Susto, Seán F. McLoone, Daniele Pagano, Andrea Schirru, Simone Pampuri, Alessandro Beghi
2013	—	`conf`	Virtual metrology enabled early stage prediction for enhanced control of multi-stage fabrication processes. CASE Gian Antonio Susto, Adrian B. Johnston, Paul G. O'Hara, Seán F. McLoone
2012	—	`conf`	An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control. CASE Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Giuseppe De Nicolao, Alessandro Beghi
2012	—	`conf`	Learning from time series: Supervised Aggregative Feature Extraction. CDC Andrea Schirru, Gian Antonio Susto, Simone Pampuri, Seán F. McLoone
2012	C	`conf`	Least angle regression for semiconductor manufacturing modeling. CCA Gian Antonio Susto, Alessandro Beghi
2012	—	`conf`	Multistep virtual metrology approaches for semiconductor manufacturing processes. CASE Simone Pampuri, Andrea Schirru, Gian Antonio Susto, Cristina De Luca, Alessandro Beghi, Giuseppe De Nicolao
2011	—	`conf`	A Predictive Maintenance System for Silicon Epitaxial Deposition. CASE Gian Antonio Susto, Alessandro Beghi, Cristina De Luca
2011	C	`conf`	A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering. ETFA Gian Antonio Susto, Alessandro Beghi, Cristina De Luca
2010	J	`jnl`	Control of PDE-ODE cascades with Neumann interconnections. J. Frankl. Inst. Gian Antonio Susto, Miroslav Krstic