Gian Antonio Susto

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β-Variational Classifiers Under Attack pdf

Marco Maggipinto, Matteo Terzi, Gian Antonio Susto, 2020, ArXiv.

A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning

Matteo Terzi, Gian Antonio Susto, Chiara Masiero, 2018, 2018 First International Conference on Artificial Intelligence for Industries (AI4I).

A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines

Gian Antonio Susto, Giuliano Zambonin, Fabio Altinier, 2018, 2018 IEEE Conference on Control Technology and Applications (CCTA).

Supervised Aggregative Feature Extraction for Big Data Time Series Regression

Gian Antonio Susto, Simone Pampuri, Andrea Schirru, 2016, IEEE Transactions on Industrial Informatics.

Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers

Gian Antonio Susto, Giuliano Zambonin, Fabio Altinier, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

A dynamic sampling strategy based on confidence level of virtual metrology predictions

Gian Antonio Susto, 2017, ASMC 2017.

A Predictive Maintenance System for Epitaxy Processes Based on Filtering and Prediction Techniques

Gian Antonio Susto, Alessandro Beghi, Cristina De Luca, 2012, IEEE Transactions on Semiconductor Manufacturing.

WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews

Gian Antonio Susto, Chiara Masiero, Alberto Purpura, 2018, DS.

Multistep virtual metrology approaches for semiconductor manufacturing processes

Giuseppe De Nicolao, Gian Antonio Susto, Simone Pampuri, 2012, 2012 IEEE International Conference on Automation Science and Engineering (CASE).

Anomaly detection through on-line isolation Forest: An application to plasma etching

Seán McLoone, Gian Antonio Susto, Alessandro Beghi, 2017, ASMC 2017.

Hunger classification of Lates calcarifer by means of an automated feeder and image processing

Zahari Taha, Gian Antonio Susto, Angelo Cenedese, 2019, Comput. Electron. Agric..

Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now)

Gianmaria Silvello, Marco Maggipinto, Gian Antonio Susto, 2019, ICTIR.

Automatic Control and Machine Learningfor Semiconductor Manufacturing: Reviewand Challenges

Seán McLoone, Gian Antonio Susto, Simone Pampuri, 2012 .

Deep learning for virtual metrology: Modeling with optical emission spectroscopy data

Marco Maggipinto, Matteo Terzi, Gian Antonio Susto, 2017, 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).

A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering

Gian Antonio Susto, Alessandro Beghi, Cristina De Luca, 2011, ETFA2011.

Deep Learning-based Production Forecasting in Manufacturing: a Packaging Equipment Case Study

Gian Antonio Susto, Alessandro Beghi, Diego Tosato, 2019 .

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

Gian Antonio Susto, Simone Pampuri, Andrea Schirru, 2015, IEEE Transactions on Industrial Informatics.

Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms pdf

Gian Antonio Susto, Alberto Purpura, Gianmaria Silvello, 2020, Inf. Process. Manag..

A Machine Learning-Based System for Self-Diagnosis Multiphase Flow Meters

Gian Antonio Susto, Tommaso Barbariol, Enrico Feltresi, 2020 .

Automatic Control and Machine Learning for Semiconductor Manufacturing: Review and Challenges

Giuseppe De Nicolao, Gian Antonio Susto, Simone Pampuri, 2012 .

A deep learning approach for anomaly detection with industrial time series data: a refrigerators manufacturing case study

Gian Antonio Susto, Alessandro Beghi, Chiara Masiero, 2019, Procedia Manufacturing.

A hidden-Gamma model-based filtering and prediction approach for monotonic health factors in manufacturing

Giuseppe De Nicolao, Gian Antonio Susto, Simone Pampuri, 2018 .

An adaptive machine learning decision system for flexible predictive maintenance

Mattia Zanon, Gian Antonio Susto, Simone Pampuri, 2014, 2014 IEEE International Conference on Automation Science and Engineering (CASE).

A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles

Gian Antonio Susto, Seán F. McLoone, Adrian B. Johnston, 2018, IEEE Transactions on Automation Science and Engineering.

Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances

Leandro dos Santos Coelho, Gilberto Reynoso-Meza, Gian Antonio Susto, 2019 .

A Dynamic Sampling Approach for Cost Reduction in Semiconductor Manufacturing

Seán McLoone, Marco Maggipinto, Gian Antonio Susto, 2018, Procedia Manufacturing.

Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis

Gian Antonio Susto, Alessandro Beghi, Chiara Masiero, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Proximal Deterministic Policy Gradient pdf

Pratik Chaudhari, Marco Maggipinto, Gian Antonio Susto, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A virtual metrology system based on least angle regression and statistical clustering

Gian Antonio Susto, Alessandro Beghi, A. Beghi, 2013 .

Enhanced Virtual Metrology with Time Series Data

Seán McLoone, Gian Antonio Susto, Simone Pampuri, 2012 .

A machine learning approach for gesture recognition with a lensless smart sensor system

Angelo Cenedese, Brendan O'Flynn, Gian Antonio Susto, 2018, 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Prediction of integral type failures in semiconductor manufacturing through classification methods

Gian Antonio Susto, Simone Pampuri, Andrea Schirru, 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).

Statistical Methods for Semiconductor Manufacturing

Gian Antonio Susto, 2013 .

Supervised Lexicon Extraction for Emotion Classification

Gianmaria Silvello, Gian Antonio Susto, Chiara Masiero, 2019, WWW.

A Computer Vision-Inspired Deep Learning Architecture for Virtual Metrology Modeling With 2-Dimensional Data

Marco Maggipinto, Matteo Terzi, Gian Antonio Susto, 2018, IEEE Transactions on Semiconductor Manufacturing.

A Predictive Maintenance System for Silicon Epitaxial Deposition

Gian Antonio Susto, Alessandro Beghi, Cristina De Luca, 2011, 2011 IEEE International Conference on Automation Science and Engineering.

Fault Detection in Artificial Pancreas: A Model-Free approach

Claudio Cobelli, Simone Del Favero, Matteo Terzi, 2018, 2018 IEEE Conference on Decision and Control (CDC).

A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing

Matteo Terzi, Gian Antonio Susto, Angelo Cenedese, 2016, 2016 European Control Conference (ECC).

A One-Class SVM Based Tool for Machine Learning Novelty Detection in HVAC Chiller Systems

Gian Antonio Susto, Alessandro Beghi, Mirco Rampazzo, 2014 .

Insight extraction for semiconductor manufacturing processes

Gian Antonio Susto, Simone Pampuri, Seán F. McLoone, 2014, 2014 IEEE International Conference on Automation Science and Engineering (CASE).

Virtual metrology enabled early stage prediction for enhanced control of multi-stage fabrication processes

Gian Antonio Susto, Seán F. McLoone, Adrian B. Johnston, 2013, 2013 IEEE International Conference on Automation Science and Engineering (CASE).

Learning from time series: Supervised Aggregative Feature Extraction

Gian Antonio Susto, Simone Pampuri, Andrea Schirru, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation

Gian Antonio Susto, Simone Pampuri, Andrea Schirru, 2013, 2013 IEEE International Conference on Automation Science and Engineering (CASE).

Machine Learning approaches for Anomaly Detection in Multiphase Flow Meters

Gian Antonio Susto, Tommaso Barbariol, Enrico Feltresi, 2019, IFAC-PapersOnLine.

What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction

Marco Maggipinto, Gian Antonio Susto, Seán McLoone, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

Self-Diagnosis of Multiphase Flow Meters through Machine Learning-Based Anomaly Detection

Gian Antonio Susto, Tommaso Barbariol, Enrico Feltresi, 2020 .

Adversarial Training Reduces Information and Improves Transferability pdf

Alessandro Achille, Marco Maggipinto, Matteo Terzi, 2020, ArXiv.

Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach

Giuseppe De Nicolao, Gian Antonio Susto, Simone Pampuri, 2015, Comput. Oper. Res..

A machine learning based approach for gesture recognition from inertial measurements

Giuseppe Belgioioso, Gian Antonio Susto, Angelo Cenedese, 2014, 53rd IEEE Conference on Decision and Control.

Control of PDE-ODE cascades with Neumann interconnections

Miroslav Krstic, Gian Antonio Susto, M. Krstić, 2010, J. Frankl. Inst..

Sensor Fusion and Machine Learning Techniques to Improve Water Cut Measurements Accuracy In Multiphase Application

Gian Antonio Susto, Tommaso Barbariol, Enrico Feltresi, 2020 .

On Optimising Spatial Sampling Plans for Wafer Profile Reconstruction

Seán McLoone, Marco Maggipinto, Gian Antonio Susto, 2018 .

An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control

Giuseppe De Nicolao, Gian Antonio Susto, Simone Pampuri, 2012, 2012 IEEE International Conference on Automation Science and Engineering (CASE).

A multivariate symbolic approach to activity recognition for wearable applications

Matteo Terzi, Gian Antonio Susto, Angelo Cenedese, 2017 .

Induced Start Dynamic Sampling for Wafer Metrology Optimization

Marco Maggipinto, Gian Antonio Susto, Seán McLoone, 2020, IEEE Transactions on Automation Science and Engineering.

A Convolutional Autoencoder Approach for Feature Extraction in Virtual Metrology

Marco Maggipinto, Gian Antonio Susto, Chiara Masiero, 2018 .

IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces pdf

Marco Maggipinto, Matteo Terzi, Gian Antonio Susto, 2020, Eng. Appl. Artif. Intell..

Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations

Mattia Zanon, Gian Antonio Susto, Giuliano Zambonin, 2020, Algorithms.

Anomaly Detection through on-line Isolation Forest: An application to plasma etching

Gian Antonio Susto, Alessandro Beghi, Seán McLoone, 2017, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing

Marco Maggipinto, Gian Antonio Susto, Alessandro Beghi, 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

Anomaly Detection Approaches for Semiconductor Manufacturing

Matteo Terzi, Gian Antonio Susto, Alessandro Beghi, 2017 .

A Machine Learning-based Soft Sensor for Laundry Load Fabric Typology Estimation in Household Washer-Dryers

Gian Antonio Susto, Giuliano Zambonin, Fabio Altinier, 2019 .

A Dynamic Sampling strategy based on confidence level of Virtual Metrology predictions

Gian Antonio Susto, 2017, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Feature Selection for Emotion Classification

Gianmaria Silvello, Gian Antonio Susto, Chiara Masiero, 2019, IIR.

Gender Bias in Italian Word Embeddings

Gian Antonio Susto, Gianmaria Silvello, Alessandro Fabris, 2020, CLiC-it.

Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest pdf

Matteo Terzi, Gian Antonio Susto, Mattia Carletti, 2020, Eng. Appl. Artif. Intell..

Least angle regression for semiconductor manufacturing modeling

Gian Antonio Susto, Alessandro Beghi, A. Beghi, 2012, 2012 IEEE International Conference on Control Applications.

Time-Series Classification Methods: Review and Applications to Power Systems Data

Matteo Terzi, Gian Antonio Susto, Angelo Cenedese, 2018 .

Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas

Claudio Cobelli, Matteo Terzi, Gian Antonio Susto, 2020, IEEE Transactions on Control Systems Technology.

Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications pdf

Pratik Chaudhari, Matteo Terzi, Gian Antonio Susto, 2019, Eng. Appl. Artif. Intell..

DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology

Marco Maggipinto, Gian Antonio Susto, Alessandro Beghi, 2019, Journal of Process Control.

Home Automation Oriented Gesture Classification From Inertial Measurements

Giuseppe Belgioioso, Gian Antonio Susto, Angelo Cenedese, 2015, IEEE Transactions on Automation Science and Engineering.

Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines

Marco Maggipinto, Gian Antonio Susto, Fabio Altinier, 2018, 2018 European Control Conference (ECC).

Dealing with time-series data in Predictive Maintenance problems

Gian Antonio Susto, Alessandro Beghi, 2016, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).

A Random Forest-based Approach for Hand Gesture Recognition with Wireless Wearable Motion Capture Sensors

Angelo Cenedese, Matteo Terzi, Gian Antonio Susto, 2019, IFAC-PapersOnLine.

Robot kinematic structure classification from time series of visual data

Ruggero Carli, Alessandro Rossi, Matteo Terzi, 2019, 2019 18th European Control Conference (ECC).

Laundry Fabric Classification in Vertical Axis Washing Machines Using Data-Driven Soft Sensors

Marco Maggipinto, Gian Antonio Susto, Giuliano Zambonin, 2019, Energies.

Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach

Gian Antonio Susto, Seán F. McLoone, 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

β-Variational Classifiers Under Attack

Marco Maggipinto, Matteo Terzi, Gian Antonio Susto, 2020, IFAC-PapersOnLine.

DBAM: Making Virtual Metrology/Soft sensing with time series data scalable through Deep Learning

Gian Antonio Susto, Andreas Kyek, Mattia Carletti, 2021 .

Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction

Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte, 2021, Informatics.

Measuring Gender Stereotype Reinforcement in Information Retrieval Systems

Gian Antonio Susto, Alberto Purpura, Gianmaria Silvello, 2021, IIR.

Neural Feature Selection for Learning to Rank

Gianmaria Silvello, Gian Antonio Susto, Alberto Purpura, 2021, ECIR.

AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box pdf

Gian Antonio Susto, Chiara Masiero, Mattia Carletti, 2021, Expert Syst. Appl..

TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios pdf

Gian Antonio Susto, Tommaso Barbariol, T. Barbariol, 2021, Inf. Sci..

ALARM LOGS IN PACKAGING INDUSTRY (ALPI)

Gian Antonio Susto, Chiara Masiero, Alessandro Beghi, 2021 .

An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery pdf

Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte, 2021, ArXiv.

A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry

Nicola Ferro, Gian Antonio Susto, Michele Berno, 2021, 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT).

Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study pdf

Marco Maggipinto, Gian Antonio Susto, Federico Zocco, 2021, ArXiv.

A Data Management and Anomaly Detection Solution for the Entertainment Industry (Discussion Paper)

Nicola Ferro, Gian Antonio Susto, Michele Berno, 2021, SEBD.

Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing

Gian Antonio Susto, Gianmaria Silvello, Alessandro Fabris, 2021, AIES.

Lazy FSCA for unsupervised variable selection

Seán McLoone, Marco Maggipinto, Gian Antonio Susto, 2021, Eng. Appl. Artif. Intell..

Improving Robustness with Image Filtering pdf

Matteo Terzi, Gian Antonio Susto, Mattia Carletti, 2021, ArXiv.

Incentives for Item Duplication Under Fair Ranking Policies pdf

Gian Antonio Susto, Gianmaria Silvello, Alessandro Fabris, 2021, BIAS.

Root Cause Analysis by a Combined Sparse Classification and Monte Carlo Approach

Mattia Zanon, Seán McLoone, Gian Antonio Susto, 2014 .

Optimal tuning of epitaxy pyrometers

Gian Antonio Susto, A. Beghi, A. Schirru, 2012, 2012 SEMI Advanced Semiconductor Manufacturing Conference.

An Information Theory-based Approach to Data Clustering for Virtual Metrology and Soft Sensors

Gian Antonio Susto, GIAN ANTONIO SUSTO, 2012 .

Detection of Insulin Pump Malfunctioning to Improve Safety in Artificial Pancreas Using Unsupervised Algorithms

Gian Antonio Susto, Lorenzo Meneghetti, Simone Del Favero, 2019, Journal of diabetes science and technology.

Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems

Gian Antonio Susto, Elisa Marcelli, T. Barbariol, 2022, ArXiv.

A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring

Gian Antonio Susto, Davide Dalle Pezze, Diego Tosato, 2022, Eng. Appl. Artif. Intell..

Algorithmic fairness datasets: the story so far

Gian Antonio Susto, S. Messina, Gianmaria Silvello, 2022, Data Mining and Knowledge Discovery.

Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data

Gian Antonio Susto, Lucas Costa Brito, M. Duarte, 2022, ArXiv.

Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets

Gian Antonio Susto, Gianmaria Silvello, Alessandro Fabris, 2022, EAAMO.

A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study

Gian Antonio Susto, A. Beghi, Marco Maggipinto, 2022, IEEE Transactions on Automation Science and Engineering.

A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points

Gian Antonio Susto, A. Beghi, Elisa Marcelli, 2022, 2022 IEEE 23rd Latin American Test Symposium (LATS).

Band Relevance Factor (BRF): a novel automatic frequency band selection method based on vibration analysis for rotating machinery

Gian Antonio Susto, M. Duarte, J. N. Brito, 2022, ArXiv.

CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations

Gian Antonio Susto, Luciano Lorenti, Luciano Lorenti, 2022, 2022 IEEE Conference on Control Technology and Applications (CCTA).

Optimizing Microbiota Profiles for Athletes

Gian Antonio Susto, A. Paoli, J. F. Mota, 2020, Exercise and sport sciences reviews.

Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study

Gian Antonio Susto, S. McLoone, Federico Zocco, 2021, ArXiv.

Continual Learning Approaches for Anomaly Detection

Gian Antonio Susto, Davide Dalle Pezze, Chiara Masiero, 2022, ArXiv.

Introduction to the special issue on Intelligent Control and Optimisation

Gian Antonio Susto, J. Kocijan, K. Guelton, 2023, Engineering Applications of Artificial Intelligence.

Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest

Gian Antonio Susto, M. Terzi, Mattia Carletti, 2020, ArXiv.

Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS)

Gian Antonio Susto, Natalie Gentner, 2023, ArXiv.

An Autoencoder-Based Approach for Fault Detection in Multi-Stage Manufacturing: A Sputter Deposition and Rapid Thermal Processing Case Study

Gian Antonio Susto, Martin Pleschberger, Hana Jebril, 2022, IEEE transactions on semiconductor manufacturing.

Adversarial Training Reduces Information and Improves Transferability

Gian Antonio Susto, A. Achille, Marco Maggipinto, 2020, AAAI.

Learning to rank from relevance judgments distributions

Gian Antonio Susto, Alberto Purpura, Gianmaria Silvello, 2022, IIR.

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

Gian Antonio Susto, A. Beghi, S. McLoone, 2015, IEEE Transactions on Industrial Informatics.

ExIFFI and EIF+: Interpretability and Enhanced Generalizability to Extend the Extended Isolation Forest

Gian Antonio Susto, Chiara Masiero, Alessio Arcudi, 2023, ArXiv.

Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest

Gian Antonio Susto, M. Terzi, Mattia Carletti, 2023, Eng. Appl. Artif. Intell..

A Search Engine for Algorithmic Fairness Datasets

Gian Antonio Susto, Gianmaria Silvello, Alessandro Fabris, 2023, EWAF.

Dissatisfaction Induced by Pairwise Swaps

Gian Antonio Susto, Asia J. Biega, Gianmaria Silvello, 2023, IIR.

An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning

Gian Antonio Susto, Davide Dalle Pezze, F. Paissan, 2024, 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).

Informatics

Gian Antonio Susto, Jorge Nei Brito, L. Brito, 2010, Laboratory Investigation.

A predictive maintenance system based on regularization methods for ion-implantation

Gian Antonio Susto, A. Beghi, G. A. Susto, 2012, 2012 SEMI Advanced Semiconductor Manufacturing Conference.