Gian Antonio Susto

Proceedings of the American Control Conference, 2024

2023

Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data.

[BibT_eX]

[DOI]

Expert Syst. Appl., December, 2023

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds.

[BibT_eX]

[DOI]

Luciano Lorenti

J. Open Source Softw., September, 2023

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

[BibT_eX]

[DOI]

Mattia Carletti

Eng. Appl. Artif. Intell., March, 2023

AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

Lazy FSCA for unsupervised variable selection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

Introduction to the special issue on Intelligent Control and Optimisation.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters.

[BibT_eX]

[DOI]

CoRR, 2023

Pairwise Fairness in Ranking as a Dissatisfaction Measure.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

The MICS Project: A Data Science Pipeline for Industry 4.0 Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach.

[BibT_eX]

[DOI]

Mattia Fanan

Claudio Baron

Ruggero Carli

Marc-Aurèle Divernois

Jean-Christophe Marongiu

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Dissatisfaction Induced by Pairwise Swaps.

[BibT_eX]

[DOI]

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper.

[BibT_eX]

[DOI]

Proceedings of the Forum on Specification & Design Languages, 2023

A Search Engine for Algorithmic Fairness Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Algorithmic Fairness Datasets.

[BibT_eX]

[DOI]

Dataset, December, 2022

Alarm Logs in Packaging Industry (ALPI).

[BibT_eX]

[DOI]

Dataset, May, 2022

Algorithmic Fairness Datasets.

[BibT_eX]

[DOI]

Dataset, May, 2022

Algorithmic Fairness Datasets.

[BibT_eX]

[DOI]

Dataset, May, 2022

A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2022

FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2022

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

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2022

Learning to rank from relevance judgments distributions.

[BibT_eX]

[DOI]

Alberto Purpura

Gianmaria Silvello

J. Assoc. Inf. Sci. Technol., 2022

TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios.

[BibT_eX]

[DOI]

Tommaso Barbariol

Inf. Sci., 2022

Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders.

[BibT_eX]

[DOI]

Informatics, 2022

IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2022

Algorithmic fairness datasets: the story so far.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2022

Continual Learning Approaches for Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Elisa Marcelli

Tommaso Barbariol

CoRR, 2022

On the Properties of Adversarially-Trained CNNs.

[BibT_eX]

[DOI]

Mattia Carletti

Khaled Sidahmed Sidahmed Alamin

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE Latin American Test Symposium, 2022

SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing.

[BibT_eX]

[DOI]

Yukai Chen

Sebastiano Gaiardelli

Proceedings of the 23rd IEEE Latin American Test Symposium, 2022

Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets.

[BibT_eX]

[DOI]

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis.

[BibT_eX]

[DOI]

Eugenia Anello

Chiara Masiero

Fabiana Federica Ferro

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications.

[BibT_eX]

[DOI]

Informatics, 2021

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

[BibT_eX]

[DOI]

Informatics, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021

Measuring Gender Stereotype Reinforcement in Information Retrieval Systems.

[BibT_eX]

[DOI]

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Neural Feature Selection for Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2021

A Bayesian Neural Model for Documents' Relevance Estimation.

[BibT_eX]

[DOI]

Alberto Purpura

Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, 2021

Machine Learning-based Anomaly Detection for Particle Accelerators.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Incentives for Item Duplication Under Fair Ranking Policies.

[BibT_eX]

[DOI]

Giorgio Maria Di Nunzio

Alessandro Fabris

Gianmaria Silvello

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach.

[BibT_eX]

[DOI]

Luca Brunelli

Massimiliano Viola

Proceedings of the 1st Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2021) co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021), 2021

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

[BibT_eX]

[DOI]

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Adversarial Training Reduces Information and Improves Transferability.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2020

Induced Start Dynamic Sampling for Wafer Metrology Optimization.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2020

Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2020

Directional adversarial training for cost sensitive deep learning classification applications.

[BibT_eX]

[DOI]

Pratik Chaudhari

Eng. Appl. Artif. Intell., 2020

β-Variational Classifiers Under Attack.

[BibT_eX]

[DOI]

CoRR, 2020

Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations.

[BibT_eX]

[DOI]

Algorithms, 2020

Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2020

Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2020

Proximal Deterministic Policy Gradient.

[BibT_eX]

[DOI]

Pratik Chaudhari

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Gender Bias in Italian Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Seventh Italian Conference on Computational Linguistics, 2020

2019

Hunger classification of <i>Lates calcarifer</i> by means of an automated feeder and image processing.

[BibT_eX]

[DOI]

Mohd Azraai Mohd Razman

Ahmad Shahrizan Abdul Ghani

Anwar P. P. Abdul Majeed

Rabiu Muazu Musa

Faeiz Azizi Adnan

Khairul Muttaqin Ismail

Zahari Taha

Yukinori Mukai

Comput. Electron. Agric., 2019

Supervised Lexicon Extraction for Emotion Classification.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Feature Selection for Emotion Classification.

[BibT_eX]

[DOI]

Proceedings of the 10th Italian Information Retrieval Workshop, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

Robot kinematic structure classification from time series of visual data.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

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

[BibT_eX]

[DOI]

Seán F. McLoone

Adrian B. Johnston

IEEE Trans Autom. Sci. Eng., 2018

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

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

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

[BibT_eX]

[DOI]

Alberto Purpura

Chiara Masiero

Proceedings of the Discovery Science - 21st International Conference, 2018

Fault Detection in Artificial Pancreas: A Model-Free approach.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Control Technology and Applications, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

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

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017

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

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017

2016

Supervised Aggregative Feature Extraction for Big Data Time Series Regression.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2016

Human Activity Recognition with Wearable Devices: A Symbolic Approach.

[BibT_eX]

[DOI]

PsychNology J., 2016

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

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

Dealing with time-series data in Predictive Maintenance problems.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016

2015

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2015

Home Automation Oriented Gesture Classification From Inertial Measurements.

[BibT_eX]

[DOI]

Giuseppe Belgioioso

Giuseppe Ilario Cirillo

Francesco Fraccaroli

IEEE Trans Autom. Sci. Eng., 2015

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

[BibT_eX]

[DOI]

Comput. Oper. Res., 2015

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

[BibT_eX]

[DOI]

Seán F. McLoone

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014

A machine learning based approach for gesture recognition from inertial measurements.

[BibT_eX]

[DOI]

Giuseppe Belgioioso

Giuseppe Ilario Cirillo

Francesco Fraccaroli

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

An adaptive machine learning decision system for flexible predictive maintenance.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

Insight extraction for semiconductor manufacturing processes.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2013

Prediction of integral type failures in semiconductor manufacturing through classification methods.

[BibT_eX]

[DOI]

Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

2012

Learning from time series: Supervised Aggregative Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

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

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012

Multistep virtual metrology approaches for semiconductor manufacturing processes.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012

Least angle regression for semiconductor manufacturing modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Control Applications, 2012

2011

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

[BibT_eX]

[DOI]

Cristina De Luca

Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

A Predictive Maintenance System for Silicon Epitaxial Deposition.

[BibT_eX]

[DOI]

Cristina De Luca

Proceedings of the IEEE Conference on Automation Science and Engineering, 2011

2010

Control of PDE-ODE cascades with Neumann interconnections.

[BibT_eX]

[DOI]