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2020 – today
- 2024
[j39]Emad Efatinasab
, Alberto Sinigaglia, Nahal Azadi, Gian Antonio Susto, Mirco Rampazzo:
Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks. IEEE Access 12: 121169-121184 (2024)- [j38]Natalie Gentner, Gian Antonio Susto:
Heterogeneous domain adaptation and equipment matching: DANN-based Alignment with Cyclic Supervision (DBACS). Comput. Ind. Eng. 187: 109821 (2024) - [j37]Xi Sun, Alessandro Beghi, Gian Antonio Susto, Zhimin Lv:
Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing. Comput. Ind. Eng. 196: 110466 (2024) - [j36]Davide Sartor, Tommaso Barbariol, Gian Antonio Susto:
Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection. Eng. Appl. Artif. Intell. 130: 107671 (2024) - [j35]Alessio Arcudi, Davide Frizzo, Chiara Masiero, Gian Antonio Susto:
Enhancing interpretability and generalizability in extended isolation forests. Eng. Appl. Artif. Intell. 138: 109409 (2024) - [j34]Matteo Terzi, Mattia Carletti, Gian Antonio Susto:
Improving robustness with image filtering. Neurocomputing 596: 127927 (2024) - [j33]Mattia Carletti, Alberto Sinigaglia, Matteo Terzi, Gian Antonio Susto:
On the limitations of adversarial training for robust image classification with convolutional neural networks. Inf. Sci. 675: 120703 (2024) - [j32]Elisa Marcelli, Tommaso Barbariol, Davide Sartor, Gian Antonio Susto:
Active Learning-based Isolation Forest (ALIF): Enhancing anomaly detection with expert feedback. Inf. Sci. 678: 121012 (2024) - [c67]Valentina Zaccaria, Davide Sartor, Simone Del Favero, Gian Antonio Susto:
Fault Identification Enhancement with Reinforcement Learning (FIERL). ACC 2024: 1494-1499 - [c66]Matteo Cederle, Marco Fabris, Gian Antonio Susto:
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning. ATT@ECAI 2024: 1-15 - [c65]Valentina Zaccaria, Chiara Masiero, David Dandolo, Gian Antonio Susto:
Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD. CoDIT 2024: 1375-1380 - [c64]Filippo Boni, Riccardo De Monte, Yao Yang, Natalie Gentner, Joon Khim Low, Gian Antonio Susto:
Enhancing Predictive Analytics in Semiconductor Manufacturing: A Deep Learning Approach for Overall Equipment Efficiency Estimation. CoDIT 2024: 1414-1419 - [c63]Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto:
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. CVPR Workshops 2024: 4065-4074 - [c62]Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall'Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii, Alessio Mascolini, Daniele Pagano, Francesco Ponzio, Gian Antonio Susto, Sara Vinco:
An AI-Enabled Framework for Smart Semiconductor Manufacturing. DATE 2024: 1-6 - [c61]Valentina Zaccaria, Davide Sartor, Gian Antonio Susto:
Extended B-ALIF: Improving Anomaly Detection with Human Feedback. MED 2024: 555-560 - [c60]Matteo Tremonti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto:
An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning. PerCom Workshops 2024: 690-695 - [c59]Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto:
AcME-AD: Accelerated Model Explanations for Anomaly Detection. xAI (4) 2024: 441-463 - [i43]Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto:
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. CoRR abs/2402.01098 (2024) - [i42]Alberto Sinigaglia, Niccolò Turcato, Alberto Dalla Libera, Ruggero Carli, Gian Antonio Susto:
Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods. CoRR abs/2402.09078 (2024) - [i41]Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto:
AcME-AD: Accelerated Model Explanations for Anomaly Detection. CoRR abs/2403.01245 (2024) - [i40]Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto:
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning. CoRR abs/2403.15463 (2024) - [i39]Luca Vittorio Piron, Matteo Cederle, Marina Ceccon, Federico Chiariotti, Alessandro Fabris, Marco Fabris, Gian Antonio Susto:
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. CoRR abs/2403.15780 (2024) - [i38]Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto:
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark. CoRR abs/2404.06859 (2024) - [i37]Valentina Zaccaria, Chiara Masiero, David Dandolo, Gian Antonio Susto:
Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD. CoRR abs/2404.18525 (2024) - [i36]Davide Frizzo, Francesco Borsatti, Alessio Arcudi, Antonio De Moliner, Roberto Oboe, Gian Antonio Susto:
Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI. CoRR abs/2405.01158 (2024) - [i35]Valentina Zaccaria, Davide Sartor, Simone Del Favero, Gian Antonio Susto:
Fault Identification Enhancement with Reinforcement Learning (FIERL). CoRR abs/2405.04938 (2024) - [i34]Matteo Cederle, Marco Fabris, Gian Antonio Susto:
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning. CoRR abs/2405.08655 (2024) - [i33]Marina Ceccon, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto:
Fairness Evolution in Continual Learning for Medical Imaging. CoRR abs/2406.02480 (2024) - [i32]Marco Calì, Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Antonio Susto:
AI Olympics challenge with Evolutionary Soft Actor Critic. CoRR abs/2409.01104 (2024) - [i31]Francesco Pasti, Marina Ceccon, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto:
Latent Distillation for Continual Object Detection at the Edge. CoRR abs/2409.01872 (2024) - [i30]Riccardo De Monte, Davide Dalle Pezze, Marina Ceccon, Francesco Pasti, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto:
Replay Consolidation with Label Propagation for Continual Object Detection. CoRR abs/2409.05650 (2024) - [i29]Francesco Pasti, Riccardo De Monte, Davide Dalle Pezze, Gian Antonio Susto, Nicola Bellotto:
Tiny Robotics Dataset and Benchmark for Continual Object Detection. CoRR abs/2409.16215 (2024) - [i28]Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto:
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge. CoRR abs/2410.11591 (2024) - 2023
- [j31]Mattia Carletti, Matteo Terzi, Gian Antonio Susto:
Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. Eng. Appl. Artif. Intell. 119: 105730 (2023) - [j30]Seán F. McLoone, Kevin Guelton, Thierry-Marie Guerra, Gian Antonio Susto, Jus Kocijan, Diego Romeres:
Introduction to the special issue on Intelligent Control and Optimisation. Eng. Appl. Artif. Intell. 123(Part B): 106325 (2023) - [j29]Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto:
A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. Eng. Appl. Artif. Intell. 124: 106610 (2023) - [j28]Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone:
Lazy FSCA for unsupervised variable selection. Eng. Appl. Artif. Intell. 124: 106624 (2023) - [j27]David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto:
AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box. Expert Syst. Appl. 214: 119115 (2023) - [j26]Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte:
Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data. Expert Syst. Appl. 232: 120860 (2023) - [j25]Luciano Lorenti, Gian Antonio Susto:
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds. J. Open Source Softw. 8(89): 5294 (2023) - [c58]Alessandro Fabris, Fabio Giachelle, Alberto Piva, Gianmaria Silvello, Gian Antonio Susto:
A Search Engine for Algorithmic Fairness Datasets. EWAF 2023 - [c57]Alessandro Beghi, Nicola Dall'Ora, Davide Dalle Pezze, Franco Fummi, Chiara Masiero, Stefano Spellini, Gian Antonio Susto, Francesco Tosoni:
VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. FDL 2023: 1-8 - [c56]Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega:
Dissatisfaction Induced by Pairwise Swaps. IIR 2023: 66-71 - [c55]Mattia Fanan, Claudio Baron, Ruggero Carli, Marc-Aurèle Divernois, Jean-Christophe Marongiu, Gian Antonio Susto:
Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach. INDIN 2023: 1-6 - [c54]Luciano Lorenti, Davide Dalle Pezze, Jacopo Andreoli, Chiara Masiero, Natalie Gentner, Yao Yang, Gian Antonio Susto:
Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation. INDIN 2023: 1-9 - [c53]Loredana Cristaldi, Parisa Esmaili, Giambattista Gruosso, Alessio La Bella, Massimo Mecella, Riccardo Scattolini, Ala Arman, Gian Antonio Susto, Letizia Tanca:
The MICS Project: A Data Science Pipeline for Industry 4.0 Applications. MetroXRAINE 2023: 427-431 - [c52]Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega:
Pairwise Fairness in Ranking as a Dissatisfaction Measure. WSDM 2023: 931-939 - [i27]Tommaso Barbariol, Davide Masiero, Enrico Feltresi, Gian Antonio Susto:
Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters. CoRR abs/2301.00014 (2023) - [i26]Natalie Gentner, Gian Antonio Susto:
Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS). CoRR abs/2301.01038 (2023) - [i25]Alessio Arcudi, Davide Frizzo, Chiara Masiero, Gian Antonio Susto:
ExIFFI and EIF+: Interpretability and Enhanced Generalizability to Extend the Extended Isolation Forest. CoRR abs/2310.05468 (2023) - 2022
- [j24]Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto:
Algorithmic fairness datasets: the story so far. Data Min. Knowl. Discov. 36(6): 2074-2152 (2022) - [j23]Marco Maggipinto, Matteo Terzi, Gian Antonio Susto:
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. Eng. Appl. Artif. Intell. 109: 104658 (2022) - [j22]Alberto Purpura, Giuseppe Sartori, Dora Giorgianni, Graziella Orrù, Gian Antonio Susto:
Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders. Informatics 9(1): 23 (2022) - [j21]Tommaso Barbariol, Gian Antonio Susto:
TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios. Inf. Sci. 610: 126-143 (2022) - [j20]Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Learning to rank from relevance judgments distributions. J. Assoc. Inf. Sci. Technol. 73(9): 1236-1252 (2022) - [j19]Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto:
A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study. IEEE Trans Autom. Sci. Eng. 19(3): 1477-1490 (2022) - [j18]Davide Dalle Pezze, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto:
FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. IEEE Trans Autom. Sci. Eng. 19(3): 1491-1502 (2022) - [j17]Francesco Simmini, Mirco Rampazzo, Fabio Peterle, Gian Antonio Susto, Alessandro Beghi:
A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems. IEEE Trans. Control. Syst. Technol. 30(4): 1359-1374 (2022) - [c51]Luciano Lorenti, Gaia De Rossi, Alberto Annoni, Silvano Rigutto, Gian Antonio Susto:
CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations. CCTA 2022: 881-886 - [c50]Eugenia Anello, Chiara Masiero, Fabiana Federica Ferro, Francesca Ferrari, Bleona Mukaj, Alessandro Beghi, Gian Antonio Susto:
Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis. CCTA 2022: 1366-1371 - [c49]Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto:
Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets. EAAMO 2022: 2:1-2:13 - [c48]Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Learning to Rank from Relevance Judgments Distributions. IIR 2022 - [c47]Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Sebastiano Gaiardelli, Stefano Spellini, Andrea Calimera, Alessandro Beghi, Gian Antonio Susto, Franco Fummi, Enrico Macii, Sara Vinco:
SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. LATS 2022: 1-6 - [c46]Elisa Marcelli, Tommaso Barbariol, Vincenzo Savarino, Alessandro Beghi, Gian Antonio Susto:
A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points. LATS 2022: 1-5 - [d4]Alessandro Fabris, Stefano Messina, Alberto Piva, Gian Antonio Susto, Gianmaria Silvello:
Algorithmic Fairness Datasets. Zenodo, 2022
- [d3]Alessandro Fabris, Stefano Messina, Alberto Piva, Gian Antonio Susto, Gianmaria Silvello:
Algorithmic Fairness Datasets. Zenodo, 2022 - [d2]Alessandro Fabris, Stefano Messina, Alberto Piva, Gian Antonio Susto, Gianmaria Silvello:
Algorithmic Fairness Datasets. Zenodo, 2022 - [d1]Diego Tosato, Davide Dalle Pezze, Chiara Masiero, Gian Antonio Susto, Alessandro Beghi:
Alarm Logs in Packaging Industry (ALPI). IEEE DataPort, 2022 - [i24]Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto:
Algorithmic Fairness Datasets: the Story so Far. CoRR abs/2202.01711 (2022) - [i23]Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Learning to Rank from Relevance Judgments Distributions. CoRR abs/2202.06337 (2022) - [i22]Mattia Carletti, Matteo Terzi, Gian Antonio Susto:
On the Properties of Adversarially-Trained CNNs. CoRR abs/2203.09243 (2022) - [i21]Elisa Marcelli, Tommaso Barbariol, Gian Antonio Susto:
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems. CoRR abs/2207.03934 (2022) - [i20]Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto:
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring. CoRR abs/2208.04227 (2022) - [i19]Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte:
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data. CoRR abs/2210.02974 (2022) - [i18]Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte:
Band Relevance Factor (BRF): a novel automatic frequency band selection method based on vibration analysis for rotating machinery. CoRR abs/2212.01852 (2022) - [i17]Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto:
Continual Learning Approaches for Anomaly Detection. CoRR abs/2212.11192 (2022) - 2021
- [j16]Luca Frau, Gian Antonio Susto, Tommaso Barbariol, Enrico Feltresi:
Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications. Informatics 8(3): 58 (2021) - [j15]Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte:
Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction. Informatics 8(4): 85 (2021) - [j14]Nicolò Bargellesi, Alessandro Beghi, Mirco Rampazzo, Gian Antonio Susto:
AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. IEEE Robotics Autom. Lett. 6(3): 6100-6107 (2021) - [c45]Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto:
Adversarial Training Reduces Information and Improves Transferability. AAAI 2021: 2674-2682 - [c44]Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello:
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. AIES 2021: 458-468 - [c43]Luca Brunelli, Massimiliano Viola, Gian Antonio Susto:
Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach. AIABI@AI*IA 2021 - [c42]Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto:
Incentives for Item Duplication Under Fair Ranking Policies. BIAS 2021: 64-77 - [c41]Davide Marcato, Giovanni Arena, Damiano Bortolato, Fabio Gelain, Valentina Martinelli, Enrico Munaron, Marco Roetta, Giovanni Savarese, Gian Antonio Susto:
Machine Learning-based Anomaly Detection for Particle Accelerators. CCTA 2021: 240-246 - [c40]Alberto Purpura, Gian Antonio Susto:
A Bayesian Neural Model for Documents' Relevance Estimation. DESIRES 2021: 156-161 - [c39]Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto:
Neural Feature Selection for Learning to Rank. ECIR (2) 2021: 342-349 - [c38]Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. IIR 2021 - [c37]Michele Berno, Marco Canil, Nicola Chiarello, Luca Piazzon, Fabio Berti, Francesca Ferrari, Alessandro Zaupa, Nicola Ferro, Michele Rossi, Gian Antonio Susto:
A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry. MetroInd4.0&IoT 2021: 386-391 - [c36]Michele Berno, Marco Canil, Nicola Chiarello, Luca Piazzon, Fabio Berti, Francesca Ferrari, Alessandro Zaupa, Nicola Ferro, Michele Rossi, Gian Antonio Susto:
A Data Management and Anomaly Detection Solution for the Entertainment Industry (Discussion Paper). SEBD 2021: 514-521 - [c35]Simone Tedesco, Gian Antonio Susto, Natalie Gentner, Andreas Kyek, Yao Yang:
A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing. WSC 2021: 1-12 - [i16]Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto:
Neural Feature Selection for Learning to Rank. CoRR abs/2102.11345 (2021) - [i15]Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte:
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery. CoRR abs/2102.11848 (2021) - [i14]Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone:
Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study. CoRR abs/2103.02687 (2021) - [i13]Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello:
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. CoRR abs/2105.10174 (2021) - [i12]Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto:
Incentives for Item Duplication under Fair Ranking Policies. CoRR abs/2110.15683 (2021) - [i11]Tommaso Barbariol, Gian Antonio Susto:
TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios. CoRR abs/2111.15432 (2021) - [i10]Matteo Terzi, Mattia Carletti, Gian Antonio Susto:
Improving Robustness with Image Filtering. CoRR abs/2112.11235 (2021) - [i9]David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto:
AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box. CoRR abs/2112.12635 (2021) - 2020
- [j13]Mattia Zanon, Giuliano Zambonin, Gian Antonio Susto, Seán F. McLoone:
Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations. Algorithms 13(6): 137 (2020) - [j12]Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari:
Directional adversarial training for cost sensitive deep learning classification applications. Eng. Appl. Artif. Intell. 91: 103550 (2020) - [j11]Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. Inf. Process. Manag. 57(6): 102377 (2020) - [j10]Gian Antonio Susto, Marco Maggipinto, Federico Zocco, Seán F. McLoone:
Induced Start Dynamic Sampling for Wafer Metrology Optimization. IEEE Trans Autom. Sci. Eng. 17(1): 418-432 (2020) - [j9]Lorenzo Meneghetti, Matteo Terzi, Simone Del Favero, Gian Antonio Susto, Claudio Cobelli:
Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Trans. Control. Syst. Technol. 28(1): 33-47 (2020) - [c34]Davide Biasion, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto:
Gender Bias in Italian Word Embeddings. CLiC-it 2020 - [c33]Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari:
Proximal Deterministic Policy Gradient. IROS 2020: 5438-5444 - [c32]Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek:
Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. WSC 2020: 1875-1885 - [c31]Natalie Gentner, Andreas Kyek, Yao Yang, Mattia Carletti, Gian Antonio Susto:
Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. WSC 2020: 1898-1909 - [i8]Mattia Carletti, Matteo Terzi, Gian Antonio Susto:
Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. CoRR abs/2007.11117 (2020) - [i7]Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto:
Adversarial Training Reduces Information and Improves Transferability. CoRR abs/2007.11259 (2020) - [i6]Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari:
Proximal Deterministic Policy Gradient. CoRR abs/2008.00759 (2020) - [i5]Marco Maggipinto, Matteo Terzi, Gian Antonio Susto:
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. CoRR abs/2008.00760 (2020) - [i4]Marco Maggipinto, Matteo Terzi, Gian Antonio Susto:
β-Variational Classifiers Under Attack. CoRR abs/2008.09010 (2020) - [i3]Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. CoRR abs/2009.01334 (2020)
2010 – 2019
- 2019
- [j8]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:
Hunger classification of Lates calcarifer by means of an automated feeder and image processing. Comput. Electron. Agric. 163 (2019) - [c30]Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Seán F. McLoone:
What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction. CASE 2019: 1796-1801 - [c29]Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli:
Robot kinematic structure classification from time series of visual data. ECC 2019: 1586-1591 - [c28]Alberto Purpura, Marco Maggipinto, Gianmaria Silvello, Gian Antonio Susto:
Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now). ICTIR 2019: 3-10 - [c27]Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto:
Feature Selection for Emotion Classification. IIR 2019: 47-48 - [c26]Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto:
A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing. INDIN 2019: 187-192 - [c25]Mattia Carletti, Chiara Masiero, Alessandro Beghi, Gian Antonio Susto:
Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. SMC 2019: 21-26 - [c24]Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto:
Supervised Lexicon Extraction for Emotion Classification. WWW (Companion Volume) 2019: 1071-1078 - [i2]Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli:
Robot kinematic structure classification from time series of visual data. CoRR abs/1903.04410 (2019) - [i1]Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari:
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. CoRR abs/1910.03468 (2019) - 2018
- [j7]Seán F. McLoone, Adrian B. Johnston, Gian Antonio Susto:
A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles. IEEE Trans Autom. Sci. Eng. 15(4): 1692-1703 (2018) - [c23]Gian Antonio Susto, Matteo Terzi, Chiara Masiero, Simone Pampuri, Andrea Schirru:
A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. AI4I 2018: 9-14 - [c22]Niccolo Norman, Andrea Urru, Lizy Abraham, Michael J. Walsh, Salvatore Tedesco, Angelo Cenedese, Gian Antonio Susto, Brendan O'Flynn:
A machine learning approach for gesture recognition with a lensless smart sensor system. BSN 2018: 136-139 - [c21]Giuliano Zambonin, Fabio Altinier, Lorenzo Corso, Mattia Sessolo, Alessandro Beghi, Gian Antonio Susto:
Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers. CASE 2018: 774-779 - [c20]Gian Antonio Susto, Giuliano Zambonin, Fabio Altinier, Elena Pesavento, Alessandro Beghi:
A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines. CCTA 2018: 1252-1257 - [c19]Lorenzo Meneghetti, Matteo Terzi, Gian Antonio Susto, Simone Del Favero, Claudio Cobelli:
Fault Detection in Artificial Pancreas: A Model-Free approach. CDC 2018: 303-308 - [c18]Alberto Purpura, Chiara Masiero, Gian Antonio Susto:
WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews. DS 2018: 386-401 - [c17]Gian Antonio Susto, Marco Maggipinto, Giulia Zannon, Fabio Altinier, Elena Pesavento, Alessandro Beghi:
Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines. ECC 2018: 3179-3184 - 2017
- [c16]Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto:
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. RTSI 2017: 1-6 - 2016
- [j6]Angelo Cenedese, Luca Minetto, Gian Antonio Susto, Matteo Terzi:
Human Activity Recognition with Wearable Devices: A Symbolic Approach. PsychNology J. 14(2-3): 33-65 (2016) - [j5]Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Seán F. McLoone:
Supervised Aggregative Feature Extraction for Big Data Time Series Regression. IEEE Trans. Ind. Informatics 12(3): 1243-1252 (2016) - [c15]Gian Antonio Susto, Alessandro Beghi:
Dealing with time-series data in Predictive Maintenance problems. ETFA 2016: 1-4 - [c14]Angelo Cenedese, Gian Antonio Susto, Matteo Terzi:
A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing. ECC 2016: 2541-2546 - 2015
- [j4]Gian Antonio Susto, Simone Pampuri, Andrea Schirru, Alessandro Beghi, Giuseppe De Nicolao:
Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach. Comput. Oper. Res. 53: 328-337 (2015) - [j3]Angelo Cenedese, Gian Antonio Susto, Giuseppe Belgioioso, Giuseppe Ilario Cirillo, Francesco Fraccaroli:
Home Automation Oriented Gesture Classification From Inertial Measurements. IEEE Trans Autom. Sci. Eng. 12(4): 1200-1210 (2015) - [j2]Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Seán F. McLoone, Alessandro Beghi:
Machine Learning for Predictive Maintenance: A Multiple Classifier Approach. IEEE Trans. Ind. Informatics 11(3): 812-820 (2015) - [c13]Gian Antonio Susto, Seán F. McLoone:
Slow release drug dissolution profile prediction in pharmaceutical manufacturing: A multivariate and machine learning approach. CASE 2015: 1218-1223 - 2014
- [c12]Simone Pampuri, Gian Antonio Susto, Jian Wan, Adrian B. Johnston, Paul G. O'Hara, Seán F. McLoone:
Insight extraction for semiconductor manufacturing processes. CASE 2014: 786-791 - [c11]Gian Antonio Susto, Jian Wan, Simone Pampuri, Mattia Zanon, Adrian B. Johnston, Paul G. O'Hara, Seán F. McLoone:
An adaptive machine learning decision system for flexible predictive maintenance. CASE 2014: 806-811 - [c10]Giuseppe Belgioioso, Angelo Cenedese, Giuseppe Ilario Cirillo, Francesco Fraccaroli, Gian Antonio Susto:
A machine learning based approach for gesture recognition from inertial measurements. CDC 2014: 4899-4904 - 2013
- [c9]Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Daniele Pagano, Seán F. McLoone, Alessandro Beghi:
A predictive maintenance system for integral type faults based on support vector machines: An application to ion implantation. CASE 2013: 195-200 - [c8]Gian Antonio Susto, Adrian B. Johnston, Paul G. O'Hara, Seán F. McLoone:
Virtual metrology enabled early stage prediction for enhanced control of multi-stage fabrication processes. CASE 2013: 201-206 - [c7]Gian Antonio Susto, Seán F. McLoone, Daniele Pagano, Andrea Schirru, Simone Pampuri, Alessandro Beghi:
Prediction of integral type failures in semiconductor manufacturing through classification methods. ETFA 2013: 1-4 - 2012
- [c6]Gian Antonio Susto, Alessandro Beghi:
Least angle regression for semiconductor manufacturing modeling. CCA 2012: 658-663 - [c5]Simone Pampuri, Andrea Schirru, Gian Antonio Susto, Cristina De Luca, Alessandro Beghi, Giuseppe De Nicolao:
Multistep virtual metrology approaches for semiconductor manufacturing processes. CASE 2012: 91-96 - [c4]Gian Antonio Susto, Andrea Schirru, Simone Pampuri, Giuseppe De Nicolao, Alessandro Beghi:
An information-theory and Virtual Metrology-based approach to Run-to-Run semiconductor manufacturing control. CASE 2012: 358-363 - [c3]Andrea Schirru, Gian Antonio Susto, Simone Pampuri, Seán F. McLoone:
Learning from time series: Supervised Aggregative Feature Extraction. CDC 2012: 5254-5259 - 2011
- [c2]Gian Antonio Susto, Alessandro Beghi, Cristina De Luca:
A Predictive Maintenance System for Silicon Epitaxial Deposition. CASE 2011: 262-267 - [c1]Gian Antonio Susto, Alessandro Beghi, Cristina De Luca:
A Virtual Metrology system for predicting CVD thickness with equipment variables and qualitative clustering. ETFA 2011: 1-4 - 2010
- [j1]Gian Antonio Susto, Miroslav Krstic:
Control of PDE-ODE cascades with Neumann interconnections. J. Frankl. Inst. 347(1): 284-314 (2010)
Coauthor Index
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