Home People Gian A. Susto Publications
Publications     [ all BibTeX ]
20YY
E. Marcelli, T. Barbariol, G.A. Susto. Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems. 20YY    [url] [BibTeX]  
L.C. Brito, G.A. Susto, J.N. Brito, M.A.V. Duarte. Band Relevance Factor (BRF): a novel automatic frequency band selection method based on vibration analysis for rotating machinery. 20YY    [url] [BibTeX]  
D. Dalle Pezze, E. Anello, C. Masiero, G.A. Susto. Continual Learning Approaches for Anomaly Detection. 20YY    [url] [BibTeX]  
N. Gentner, G.A. Susto. Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS). 20YY    [url] [BibTeX]  
M. Terzi, M. Carletti, G.A. Susto. Improving Robustness with Image Filtering. 20YY    [url] [BibTeX]  
M. Carletti, M. Terzi, G.A. Susto. On the Properties of Adversarially-Trained CNNs. 20YY    [ abstract ] [url] [BibTeX]  
2023
D. Dalle Pezze, D. Deronjic, C. Masiero, D. Tosato, A. Beghi, G.A. Susto. A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring. Engineering Applications of Artificial Intelligence, vol. 1242023   [BibTeX]  
A. Fabris, F. Giachelle, A. Piva, G. Silvello, G.A. Susto. A Search Engine for Algorithmic Fairness Datasets. 2nd European Workshop on Algorithmic Fairness, 2023   [BibTeX]  
D. Dandolo, C. Masiero, M. Carletti, D. Dalle Pezze, G.A. Susto. AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box. Expert Systems with Applications, vol. 2142023    [url] [BibTeX]  
M. Fanan, C. Baron, R. Carli, M. Divernois, J. Marongiu, G.A. Susto. Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach. IEEE International Conference on Industrial Informatics (INDIN), 2023   [BibTeX]  
Q. Wang, T. Barbariol, G.A. Susto, B. Bonato, S. Guerra, U. Castiello. Classifying Circumnutation in Pea Plants via Supervised Machine Learning. Plants, vol. 4(12), 2023    [url] [BibTeX]  
F. Dalla Zuanna, N. Gentner, G.A. Susto. Deep Learning-based Sequence Modeling for Advanced Process Control in Semiconductor Manufacturing. IFAC World Congress, 2023   [BibTeX]  
D. Marcato, L. Bellan, D. Bortolato, M. Comunian, F. Gelain, V. Martinelli, G. Savarese, G.A. Susto. Demonstration of Beam Emittance Optimization using Reinforcement Learning. 14th International Particle Accelerator Conference, 2023   [BibTeX]  
A. Fabris, G. Silvello, G.A. Susto, A. Biega. Dissatisfaction Induced by Pairwise Swaps. Italian Information Retrieval Workshop, 2023   [BibTeX]  
L.C. Brito, G.A. Susto, J.N. Brito, M.A.V. Duarte. Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data. Expert Systems with Applications, 2023   [BibTeX]  
M. Carletti, M. Terzi, G.A. Susto. Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. Engineering Applications of Artificial Intelligence, vol. 1192023    [ abstract ] [url] [BibTeX]  
S. McLoone, K. Guelton, T. Guerra, G.A. Susto, J. Kocijan, D. Romeres. Introduction to the special issue on Intelligent Control and Optimisation. Engineering Applications of Artificial Intelligence, vol. 1232023    [url] [BibTeX]  
F. Zocco, M. Maggipinto, G.A. Susto, S. McLoone. Lazy FSCA for Unsupervised Variable Selection. Engineering Applications of Artificial Intelligence, vol. 1242023    [ abstract ] [url] [BibTeX]  
A. Fabris, G. Silvello, G.A. Susto, A. Biega. Pairwise Fairness in Ranking as a Dissatisfaction Measure. ACM International Conference on Web Search and Data Mining, 2023   [BibTeX]  
L. Lorenti, D. Dalle Pezze, J. Andreoli, C. Masiero, N. Gentner, Y. Yang, G.A. Susto. Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation. IEEE International Conference on Industrial Informatics (INDIN), 2023   [BibTeX]  
L. Cristaldi, P. Esmaili, G. Gruosso, A. La Bella, M. Mecella, R. Scattolini, A. Arman, G.A. Susto, L. Tanca. The MICS Project. A Data Science Pipeline for Industry 4.0 Applications. 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering (IEEE MetroXRAINE 2023), 2023   [BibTeX]  
D. Marcato, D. Bortolato, V. Martinelli, G. Savarese, G.A. Susto. Time-Series Deep Learning Anomaly Detection for Particle Accelerators. IFAC World Congress, 2023   [BibTeX]  
A. Beghi, N. Dall'Ora, D. Dalle Pezze, F. Fummi, C. Masiero, S. Spellini, G.A. Susto, F. Tosoni. VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing. 26th Forum on specification and Design Languages, 2023   [BibTeX]  
2022
M. Maggipinto, A. Beghi, G.A. Susto. A Deep Convolutional Autoencoder-based Approach for Anomaly Detection with Industrial, Non-images, 2-Dimensional data: a Semiconductor Manufacturing case study. IEEE Transactions on Automation Science and Engineering, vol. 19(3), pp. 1477-1490, 2022    [url] [BibTeX]  
D. Dalle Pezze, D. Deronjic, C. Masiero, D. Tosato, A. Beghi, G.A. Susto. A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), 2022    [url] [BibTeX]  
T. Barbariol, F. Dalla Chiara, D. Marcato, G.A. Susto. A review of Tree-based approaches for Anomaly Detection. Control Charts and Machine Learning for Anomaly Detection in Manufacturing, 2022    [ abstract ] [BibTeX]  
E. Marcelli, T. Barbariol, V. Savarino, A. Beghi, G.A. Susto. A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points. 23rd IEEE Latin-American Test Symposium (LATS2022), 2022   [BibTeX]  
F. Simmini, M. Rampazzo, F. Peterle, G.A. Susto, A. Beghi. A Self-Tuning KPCA-based Approach to Fault Detection in Chiller Systems. IEEE Transactions on Control Systems Technology, vol. 30(4), 2022   [BibTeX]  
A. Fabris, A. Mishler, S. Gottardi, M. Carletti, M. Daicampi, G.A. Susto, G. Silvello. Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2022   [BibTeX]  
A. Fabris, S. Messina, G. Silvello, G.A. Susto. Algorithmic Fairness Datasets: the Story so Far. Data Mining and Knowledge Discovery, 2022    [url] [BibTeX]  
H.T. Jebril, M. Pleschberger, G.A. Susto. An Autoencoder-based Approach for Fault Detection in Multi-stage Manufacturing: a Sputter Deposition and Rapid Thermal Processing case study. IEEE Transactions on Semiconductor Manufacturing, 2022   [BibTeX]  
L.C. Brito, G.A. Susto, J.N. Brito, M.A.V. Duarte. An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery. Mechanical Systems and Signal Processing, vol. 1632022    [ abstract ] [url] [BibTeX]  
E. Anello, M. Chiara, F. Ferro, F. Ferrari, B. Mukaj, A. Beghi, G.A. Susto. Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis. IEEE Conference on Control Technology and Applications (CCTA), 2022   [BibTeX]  
L. Lorenti, G. De Rossi, A. Annoni, S. Rigutto, G.A. Susto. CUAD-Mo: Continuos Unsupervised Anomaly Detection on Machining Operations. IEEE Conference on Control Technology and Applications (CCTA), 2022   [BibTeX]  
D. Dalle Pezze, C. Masiero, D. Tosato, A. Beghi, G.A. Susto. FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. IEEE Transactions on Automation Science and Engineering, vol. 19(3), pp. 1491--1502, 2022    [url] [BibTeX]  
G.A. Susto, A. Diebold, A. Kyek, C. Lee, N. Patel. Guest Editorial: Process-Level Machine Learning Applications in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing, 2022   [BibTeX]  
A. Purpura, G. Sartori, G. Orrù, G.A. Susto. Identifying Faked Responses in Questionnaires with Self-Attention Based Autoencoders. Informatics, 2022   [BibTeX]  
M. Maggipinto, M. Terzi, G.A. Susto. IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. Engineering Applications of Artificial Intelligence, vol. 1092022    [ abstract ] [url] [BibTeX]  
A. Beghi, G.A. Susto, G. Zambonin, F. Altinier, T. Girotto, M. Rampazzo. LAUNDRY DRYING MACHINE AND CONTROL METHOD THEREOF. Patent, 2022   [BibTeX]  
A. Purpura, G. Silvello, G.A. Susto. Learning to Rank from Relevance Judgments Distributions. Journal of the Association for Information Science and Technology, 2022    [ abstract ] [BibTeX]  
A. Purpura, G. Silvello, G.A. Susto. Learning to rank from relevance judgments distributions. Italian Information Retrieval Workshop, 2022   [BibTeX]  
L.C. Brito, G.A. Susto, J.N. Brito, M.A.V. Duarte. Mechanical faults in rotating machinery dataset (normal, unbalance, misalignment, looseness). Mendeley Data, 2022    [url] [BibTeX]  
D. Tosato, E. Convento, C. Masiero, G.A. Susto, A. Beghi. Packaging Industry Anomaly DEtection (PIADE). 2022    [url] [BibTeX]  
K.S.S. Alamin, Y. Chen, S. Gaiardelli, S. Spellini, A. Calimera, A. Beghi, G.A. Susto, F. Fummi, S. Vinco. SMARTIC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. 23rd IEEE Latin-American Test Symposium (LATS2022), 2022   [BibTeX]  
A. Fabris, S. Messina, G. Silvello, G.A. Susto. Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets. ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2022   [BibTeX]  
T. Barbariol, G.A. Susto. TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios. Information Sciences, vol. 610pp. 126-143, 2022    [url] [BibTeX]  
2021
A. Purpura, G.A. Susto. A Bayesian Neural Model for Documents’ Relevance Estimation. Design of Experimental Search & Information Retrieval Systems, 2021   [BibTeX]  
M. Berno, M. Canil, N. Chiarello, L. Piazzon, F. Berti, F. Ferrari, A. Zaupa, N. Ferro, M. Rossi, G.A. Susto. A Data Management and Anomaly Detection Solution for the Entertainment Industry. Italian Symposium on Database Systems (SEBD), 2021   [BibTeX]  
M. Berno, M. Canil, N. Chiarello, L. Piazzon, F. Berti, F. Ferrari, A. Zaupa, N. Ferro, M. Rossi, G.A. Susto. A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry. International Workshop on Metrology for Industry 4.0 & IoT, 2021   [BibTeX]  
S. Tedesco, G.A. Susto, N. Gentner, A. Kyek, Y. Yang. A Scalable Deep Learning-based Approach for Anomaly Detection in Semiconductor Manufacturing. Winter Simulation Conference, 2021    [ abstract ] [BibTeX]  
M. Terzi, A. Achille, M. Maggipinto, G.A. Susto. Adversarial Training Reduces Information and Improves Transferability. 35th AAAI Conference on Artificial Intelligence, (arXiv:2007.11259), 2021    [ abstract ] [url] [BibTeX]  
A. Fabris, A. Mishler, S. Gottardi, M. Carletti, M. Daicampi, G.A. Susto, G. Silvello. Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. Fourth AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2021   [BibTeX]  
N. Bargellesi, A. Beghi, M. Rampazzo, G.A. Susto. AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. IEEE Robotics and Automation Letters, vol. 6(3), pp. 6100--6107, 2021    [ abstract ] [url] [BibTeX]  
N. Gentner, M. Carletti, A. Kyek, G.A. Susto, Y. Yang. DBAM: Making Virtual Metrology/Soft Sensing with Time Series Data Scalable Through Deep Learning. Control Engineering Practice, vol. 1162021    [ abstract ] [BibTeX]  
S. Arena, Y. Budrov, M. Carletti, N. Gentner, M. Maggipinto, Y. Yang, A. Beghi, A. Kyek, G.A. Susto. Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images. IEEE Transactions on Semiconductor Manufacturing, 2021    [ abstract ] [BibTeX]  
L.C. Brito, G.A. Susto, J.N. Brito, M.A.V. Duarte. Fault Detection of Bearing: an Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction. Informatics, 2021   [BibTeX]  
D. Biasion, A. Fabris, G. Silvello, G.A. Susto. Gender Bias in Italian Word Embeddings. CLIC-IT 2020 Seventh Italian Conference on Computational Linguistics, 2021   [BibTeX]  
G.M. Di Nunzio, A. Fabris, G. Silvello, G.A. Susto. Incentives for Item Duplication under Fair Ranking Policies. European Conference on Information Retrieval (ECIR) 2021, 2021   [BibTeX]  
M. Viola, L. Brunelli, G.A. Susto. Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach. Italian Workshop on Artificial Intelligence and Applications for Business and Industries, 2021   [BibTeX]  
D. Marcato, G. Arena, D. Bortolato, F. Gelain, V. Martinelli, E. Munaron, M. Roetta, G. Savarese, G.A. Susto. Machine Learning-based Anomaly Detection for Particle Accelerators. 5th IEEE Conference on Control Technology and Applications (CCTA), 2021    [ abstract ] [BibTeX]  
A. Fabris, A. Purpura, G. Silvello, G.A. Susto. Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. Proceedings of the 2021 Italian Information Retrieval Workshop, 2021   [BibTeX]  
A. Purpura, K. Buchner, G. Silvello, G.A. Susto. Neural Feature Selection for Learning to Rank. Proceedings of the European Conference on Information Retrieval, 2021   [BibTeX]  
L. Mancin, I. Rollo, J.F. Mota, F. Piccini, M. Carletti, G.A. Susto, G. Valle, A. Paoli. Optimizing Microbiota Profiles for Athletes: Dream or Reality?. Exercise and sport sciences reviews, vol. 49(1), pp. 42--49, 2021    [ abstract ] [url] [BibTeX]  
L. Frau, G.A. Susto, T. Barbariol, E. Feltresi. Uncertainty estimation for Machine Learning models in Multiphase flow Applications. Informatics, vol. 8(3), 2021    [ abstract ] [BibTeX]  
2020
T. Barbariol, E. Feltresi, G.A. Susto. A Machine Learning-based System for Self-diagnosis Multiphase Flow Meters. International Petroleum Technology Conference, 2020   [BibTeX]  
J.A. Mat Jizat, I.M. Khairuddin, A. Razman, A.F. Nasir, M.S.A. Karim, A.A. Jaafar, L. Wei Hong, A. Abdul Majeed, H. Myung, H. Choi, G.A. Susto. Advances in Robotics, Automation and Data Analytics. Selected Papers from iCITES 2020. 2020    [ abstract ] [url] [BibTeX]  
D. Tosato, D. Dalle Pezze, C. Masiero, G.A. Susto, A. Beghi. Alarm Logs in Packaging Industry (ALPI). IEEEDataPort, 2020    [ abstract ] [url] [BibTeX]  
M. Maggipinto, M. Terzi, G.A. Susto. Beta-Variational Classifiers Under Attack. IFAC World Congress, 2020   [BibTeX]  
L. Meneghetti, M. Terzi, S. Del Favero, G.A. Susto, C. Cobelli. Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Transactions on Control Systems Technology, vol. 28(1), pp. 33-47, 2020    [ abstract ] [url] [BibTeX]  
M. Terzi, G.A. Susto, P. Chaudhari. Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. Engineering Applications of Artificial Intelligence, vol. 912020    [ abstract ] [url] [BibTeX]  
N. Gentner, M. Carletti, G.A. Susto, A. Kyek, Y. Yang. Enhancing Scalability of Virtual Metrology: a Deep Learning-based Approach for Domain Adaptation. Winter Simulation Conference, 2020    [ abstract ] [BibTeX]  
A. Fabris, A. Purpura, G. Silvello, G.A. Susto. Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. Information Processing & Management, vol. 57(6), 2020    [ abstract ] [BibTeX]  
T. Barbariol, E. Feltresi, S. Galvanin, D. Tescaro, G.A. Susto. How to improve Water Cut measurements in MPFM using a Sensor Fusion and Machine Learning-based Approach. North Sea Flow Measurement Workshop, 2020   [BibTeX]  
A. Razman, A. Majeed, R.M. Musa, Z. Taha, G.A. Susto, Y. Mukai. Hyperparameter Tuning of the Model for Hunger State Classification. SpringerBriefs in Applied Sciences and Technology, pp. 49-57, 2020    [ abstract ] [url] [BibTeX]  
A. Razman, A. Majeed, R.M. Musa, Z. Taha, G.A. Susto, Y. Mukai. Image Processing Features Extraction on Fish Behaviour. SpringerBriefs in Applied Sciences and Technology, pp. 25-36, 2020    [ abstract ] [url] [BibTeX]  
G.A. Susto, M. Maggipinto, F. Zocco, S. McLoone. Induced Start Dynamic Sampling for Wafer Metrology Optimization. IEEE Transactions on Automation Science and Engineering, vol. 17(1), pp. 418-432, 2020    [url] [BibTeX]  
M. Carletti, N. Gentner, Y. Yang, A. Kyek, M. Maggipinto, A. Beghi, G.A. Susto. Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. Winter Simulation Conference, 2020    [ abstract ] [BibTeX]  
A. Razman, A. Majeed, R.M. Musa, Z. Taha, G.A. Susto, Y. Mukai. Machine Learning in Aquaculture Hunger Classification of Lates calcarifer. 2020    [ abstract ] [url] [BibTeX]  
A. Razman, A. Majeed, R.M. Musa, Z. Taha, G.A. Susto, Y. Mukai. Monitoring and Feeding Integration of Demand Feeder Systems. SpringerBriefs in Applied Sciences and Technology, pp. 11-24, 2020    [ abstract ] [url] [BibTeX]  
M. Maggipinto, G.A. Susto, P. Chaudhari. Proximal Deterministic Policy Gradient. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020   [BibTeX]  
T. Barbariol, E. Feltresi, G.A. Susto. Self-Diagnosis of Multiphase Flow Meters through Machine Learning-based Anomaly Detection. Energies, vol. 12(13), pp. 1 -- 24, 2020    [ abstract ] [url] [BibTeX]  
T. Barbariol, E. Feltresi, G.A. Susto, D. Tescaro, S. Galvanin. Sensor Fusion And Machine LearningTechniques To Improve Water Cut Measurements Accuracy In Multiphase Application. 2020 SPE Annual Technical Conference and Exhibition, 2020   [BibTeX]  
M. Zanon, G. Zambonin, G.A. Susto, S. McLoone. Sparse Logistic Regression: Comparison of Regularization and Bayesian implementations. Algorithms, vol. 13(6), pp. 1 -- 24, 2020    [ abstract ] [url] [BibTeX]  
T. Barbariol, D. Masiero, E. Feltresi, G.A. Susto. Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meter. North Sea Flow Measurement Workshop, 2020   [BibTeX]  
A. Razman, A. Majeed, R.M. Musa, Z. Taha, G.A. Susto, Y. Mukai. Time-Series Identification on Fish Feeding Behaviour. SpringerBriefs in Applied Sciences and Technology, pp. 37-47, 2020    [ abstract ] [url] [BibTeX]  
2019
M. Carletti, C. Masiero, A. Beghi, G.A. Susto. A deep learning approach for anomaly detection with industrial time series data: a refrigerators manufacturing case study. Procedia Manufacturing, vol. 38pp. 233-240, 2019    [ abstract ] [url] [BibTeX]  
M. Maggipinto, A. Beghi, G.A. Susto. A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing. International Conference on Industrial Informatics (INDIN), pp. 187 -- 191, 2019    [ abstract ] [BibTeX]  
G.A. Susto, L. Vettore, G. Zambonin, F. Altinier, D. Beninato, T. Girotto, M. Rampazzo, A. Beghi. A Machine Learning-based Soft Sensor for Laundry Load Fabric Typology Estimation in Household Washer-Dryers. 5th IFAC International Conference on Intelligent Control and Automation Sciences, 2019   [BibTeX]  
N. Bargellesi, M. Carletti, A. Cenedese, G.A. Susto, M. Terzi. A Random Forest-based Approach for Hand Gesture Recognition with Wireless Wearable Motion Capture Sensors. 5th IFAC International Conference on Intelligent Control and Automation Sciences, 2019    [ abstract ] [url] [BibTeX]  
G. Zambonin, F. Altinier, A. Beghi, L.D.S. Coelho, T. Girotto, M. Rampazzo, G. Reynoso-Meza, G.A. Susto. Data-Driven Models for the Determination of Laundry Moisture Content in a Household Laundry Treatment Dryer Appliance. Lecture Notes in Control and Information Sciences – Proceedings, 2019    [ abstract ] [pdf] [BibTeX]  
L. Brunelli, C. Masiero, D. Tosato, A. Beghi, G.A. Susto. Deep Learning-based Production Forecasting in Manufacturing: a Packaging Equipment Case Study. Procedia Manufacturing, vol. 38pp. 248-255, 2019    [ abstract ] [BibTeX]  
M. Maggipinto, A. Beghi, S. McLoone, G.A. Susto. DeepVM: A Deep Learning-based Approach with Automatic Feature Extraction for 2D Input Data Virtual Metrology. Journal of Process Control, vol. 84pp. 24-34, 2019    [ abstract ] [url] [BibTeX]  
L. Meneghetti, G.A. Susto, S. Del Favero. Detection of insulin pump malfunctioning to improve safety in artificial pancreas using unsupervised algorithms. Journal of Diabetes Science and Technology, 2019    [ abstract ] [url] [BibTeX]  
M. Carletti, C. Masiero, A. Beghi, G.A. Susto. Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. 2019 IEEE International Conference on Systems, Man, and Cybernetics, 2019    [ abstract ] [url] [BibTeX]  
A. Purpura, C. Masiero, G. Silvello, G.A. Susto. Feature Selection for Emotion Classification. 10th Italian Information Retrieval Workshop (IIR), 2019   [BibTeX]  
A. Razman, A.S.A. Ghani, A. Cenedese, F.A. Adnan, G.A. Susto, K.M. Ismail, R.M. Musa, Y. Mukai, Z. Taha, A. Majeed. Hunger Classification of Lates Calcarifer by means of an automated feeder and image processing. Computers and Electronics in Agriculture, vol. 1632019    [ abstract ] [url] [BibTeX]  
M. Maggipinto, E. Pesavento, F. Altinier, G. Zambonin, A. Beghi, G.A. Susto. Laundry Fabric Classification in Vertical AxisWashing Machines using Data-driven Soft Sensors. Energies, vol. 12(21), 2019    [ abstract ] [url] [BibTeX]  
T. Barbariol, E. Feltresi, G.A. Susto. Machine Learning approaches for Anomaly Detection in Multiphase Flow Meters. 5th IFAC International Conference on Intelligent Control and Automation Sciences, 2019   [BibTeX]  
G. Zambonin, F. Altinier, A. Beghi, L.D.S. Coelho, N. Fiorella, T. Girotto, M. Rampazzo, G. Reynoso-Meza, G.A. Susto. Machine Learning-based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances. Energies, vol. 20(12), pp. 1 -- 24, 2019    [ abstract ] [url] [BibTeX]  
A. Purpura, M. Maggipinto, G. Silvello, G.A. Susto. Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now). 5th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2019   [BibTeX]  
A. Dalla Libera, M. Terzi, A. Rossi, G.A. Susto, R. Carli. Robot kinematic structure classification from time series of visual data. 2019 European Control Conference, 2019    [ abstract ] [BibTeX]  
A. Purpura, C. Masiero, G. Silvello, G.A. Susto. Supervised Lexicon Extraction for Emotion Classification. Proceedings of the 28th International Conference on World Wide Web Companion, pp. 1071 - 1078, 2019    [ abstract ] [url] [BibTeX]  
T. Barbariol, E. Feltresi, G.A. Susto. Validity and consistency of MPFM data through a Machine learning-based system. 37th International North Sea Flow Measurement Workshop, 2019   [BibTeX]  
M. Maggipinto, G.A. Susto, F. Zocco, S. McLoone. What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction. IEEE Conference on Automation Science and Engineering, 2019   [BibTeX]  
2018
M. Maggipinto, M. Terzi, C. Masiero, A. Beghi, G.A. Susto. A Computer Vision-inspired Deep Learning Architecture for Virtual Metrology modeling with 2-Dimensional Data. IEEE Transactions on Semiconductor Manufacturing, vol. 31(3), pp. 376 - 384, 2018    [ abstract ] [url] [BibTeX]  
M. Maggipinto, C. Masiero, A. Beghi, G.A. Susto. A Convolutional Autoencoder Approach for Feature Extraction in Virtual Metrology. Procedia Manufacturing, 28th International Conference on Flexible Automation and Intelligent Manufacturing, vol. 17pp. 126-133, 2018    [ abstract ] [url] [BibTeX]  
G.A. Susto, M. Maggipinto, F. Zocco, S. McLoone. A Dynamic Sampling Approach for Cost Reduction in Semiconductor Manufacturing. Procedia Manufacturing, 28th International Conference on Flexible Automation and Intelligent Manufacturing, vol. 17pp. 1031-1038, 2018    [ abstract ] [url] [BibTeX]  
G.A. Susto, M. Terzi, C. Masiero, S. Pampuri, A. Schirru. A Fraud Detection Decision Support System via Human On-line Behavior Characterization and Machine Learning. 1st International Conference on Artificial Intelligence for Industries (AI4I), pp. 9-14, 2018    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Schirru, S. Pampuri, A. Beghi, G. De nicolao. A Hidden-Gamma Model-Based Filtering and Prediction Approach for Monotonic Health Factors in Manufacturing. Control Engineering Practice, vol. 74pp. 84-94, 2018    [ abstract ] [url] [pdf] [BibTeX]  
N. Normani, A. Urru, L. Abraham, M. Walsh, S. Tedesco, A. Cenedese, G.A. Susto, B. O'Flynn. A Machine Learning Approach for Gesture Recognition with a Lensless Smart Sensor System. 15th International Conference on Wearable and Implantable Body Sensor Networks, pp. 136--139, 2018    [ abstract ] [url] [BibTeX]  
S. McLoone, A.B. Johnston, G.A. Susto. A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles. IEEE Transactions on Automation Science and Engineering, vol. 15(4), pp. 1692-1703, 2018    [ abstract ] [url] [pdf] [BibTeX]  
G.A. Susto, G. Zambonin, F. Altinier, E. Pesavento, A. Beghi. A Soft Sensing approach for Clothes Load Estimation in Consumer Washing Machines. 2nd IEEE Conference on Control Technology and Applications (CCTA), 2018    [ abstract ] [url] [BibTeX]  
L. Meneghetti, M. Terzi, G.A. Susto, S. Del Favero, C. Cobelli. Fault Detection in Artificial Pancreas: A Model-Free approach. Conference on Decision and Control (CDC), pp. 303-308, 2018    [ abstract ] [url] [BibTeX]  
G.A. Susto, M. Maggipinto, G. Zannon, F. Altinier, E. Pesavento, A. Beghi. Machine Learning-based Laundry Weight Estimation for Vertical Axis Washing Machines. European Control Conference (ECC2018), pp. 3179 - 3184, 2018    [ abstract ] [url] [BibTeX]  
S. McLoone, F. Zocco, M. Maggipinto, G.A. Susto. On Optimising Spatial Sampling Plans for Wafer Profile Reconstruction. 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, 2018    [ abstract ] [url] [BibTeX]  
G. Zambonin, F. Altinier, L. Corso, A. Beghi, G.A. Susto. Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers. Conference on Automation Science and Engineering (CASE), 2018    [ abstract ] [url] [BibTeX]  
A. Purpura, C. Masiero, G.A. Susto. WS4ABSA: an NMF-based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews. Lecture Notes in Computer Science, pp. 386--401, 2018    [ abstract ] [url] [BibTeX]  
2017
G.A. Susto. A Dynamic Sampling Strategy based on Confidence Level of Virtual Metrology Predictions. IEEE/SEMI Advanced Semiconductor Manufacturing Conference, pp. 78-83, 2017    [ abstract ] [url] [BibTeX]  
M. Terzi, A. Cenedese, G.A. Susto. A multivariate symbolic approach to activity recognition for wearable applications. IFAC World Congress 2017, pp. 16435-16440, 2017    [ abstract ] [pdf] [BibTeX]  
G.A. Susto, M. Terzi, A. Beghi. Anomaly Detection Approaches for Semiconductor Manufacturing. Procedia Manufacturing, 27th International Conference on Flexible Automation and Intelligent Manufacturing, vol. 11pp. 2018-2024, 2017    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Beghi, S. McLoone. Anomaly Detection through on-line Isolation Forest: an Application to Plasma Etching. IEEE/SEMI Advanced Semiconductor Manufacturing Conference, 2017    [ abstract ] [url] [BibTeX]  
M. Terzi, C. Masiero, A. Beghi, M. Maggipinto, G.A. Susto. Deep Learning for Virtual Metrology: Modeling with Optical Emission Spectroscopy Data. IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI), 2017    [ abstract ] [url] [BibTeX]  
F. Altinier, E. Pesavento, A. Beghi, G.A. Susto, G. Zambonin, G. Zannon. Method for the Determination of a Laundry Weight in a Laundry Treatment Appliance. (Pub. No.: WO/2017/144085 International Application No.: PCT/EP2016/053788), 2017    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Cenedese, M. Terzi. Big Data Application in Power Systems - Ch. 2.5. Time Series Classi cation Methods: Review and Applications to Power Systems Data. 2017    [ abstract ] [url] [BibTeX]  
2016
A. Cenedese, G.A. Susto, M. Terzi. A Parsimonious Approach for Activity Recognition with Wearable Devices: an Application to Cross-country Skiing. European Control Conference 2016 (ECC'16), pp. 2541-2546, 2016    [ abstract ] [url] [BibTeX]  
A. Cenedese, L. Minetto, G.A. Susto, M. Terzi. A Symbolic Approach to Human Activity Recognition. 5th International Workshop on Symbiotic Interaction, 2016    [ abstract ] [BibTeX]  
G.A. Susto, A. Beghi. Dealing with Time-Series Data in Predictive Maintenance Problems. Emerging Technologies and Factory Automation, 2016    [ abstract ] [url] [BibTeX]  
A. Cenedese, L. Minetto, G.A. Susto, M. Terzi. Human Activity Recognition with Wearable Devices: A Symbolic Approach. PsychNology, vol. 14(2-3), pp. 99-115, 2016    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Schirru, S. Pampuri, S. McLoone. Supervised Aggregative Feature Extraction for Big Data Time Series Regression. IEEE Transactions on Industrial Informatics, vol. 12pp. 1243 - 1252, 2016    [ abstract ] [url] [BibTeX]  
2015
A. Cenedese, G.A. Susto, G. Belgioioso, G.I. Cirillo, F. Fraccaroli. Home Automation Oriented Gesture Classification From Inertial Measurements. IEEE Transactions on Automation Science and Engineering, vol. 12(4), pp. 1200--1210, 2015    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Schirru, S. Pampuri, S. McLoone, A. Beghi. Machine Learning for Predictive Maintenance: a Multiple Classifiers Approach. IEEE Transactions on Industrial Informatics, vol. 11(3), pp. 812 - 820, 2015    [ abstract ] [url] [BibTeX]  
G.A. Susto, S. Pampuri, A. Schirru, A. Beghi, G. De nicolao. Multi-Step Virtual Metrology for Semiconductor Manufacturing: a Multilevel and Regularization Methods-based Approach. Computers & Operations Research, vol. 53pp. 328–337, 2015    [ abstract ] [url] [BibTeX]  
G.A. Susto, S. McLoone. Slow Release Drug Dissolution Profile Prediction in Pharmaceutical Manufacturing: a Multivariate and Machine Learning Approach. 11th IEEE Conference on Automation Science and Engineering, pp. 1218-1223, 2015    [ abstract ] [url] [BibTeX]  
2014
G. Belgioioso, A. Cenedese, G.I. Cirillo, F. Fraccaroli, G.A. Susto. A Machine Learning based Approach for Gesture Recognition from Inertial Measurements. IEEE 53rd Conference on Decision and Control, pp. 4899--4904, 2014    [ abstract ] [url] [pdf] [BibTeX]  
A. Beghi, L. Cecchinato, C. Corazzol, M. Rampazzo, F. Simmini, G.A. Susto. A One-Class SVM Based Tool for Machine Learning Novelty Detection in HVAC Chiller Systems. 19th World Congress of the International Federation of Automatic Control, pp. 1953-1958, 2014    [ abstract ] [url] [BibTeX]  
G.A. Susto, S. Pampuri, M. Zanon, A.B. Johnston, P.G. O’Hara, S. McLoone. An Adaptive Machine Learning Decision System for Flexible Predictive Maintenance. Conference on Automation Science and Engineering, pp. 806-811, 2014    [ abstract ] [url] [BibTeX]  
S. Pampuri, G.A. Susto, J. Wan, A.B. Johnston, P.G. O’Hara, S. McLoone. Insight Extraction for Semiconductor Manufacturing Processes. Conference on Automation Science and Engineering, pp. 786 - 791, 2014    [ abstract ] [url] [BibTeX]  
M. Zanon, G.A. Susto, S. McLoone. Root Cause Analysis by a Combined Sparse Classification and Monte Carlo Approach. 19th World Congress of the International Federation of Automatic Control, pp. 1947-1952, 2014    [ abstract ] [url] [BibTeX]  
2013
G.A. Susto, A. Schirru, S. Pampuri, D. Pagano, S. McLoone, A. Beghi. A Predictive Maintenance System for Integral Type Faults based on Support Vector Machines: an Application to Ion Implantation. Automation Science and Engineering (CASE), 2013 IEEE International Conference on, 2013    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Beghi. A virtual metrology system based on least angle regression and statistical clustering. Applied Stochastic Models in Business and Industry, vol. 29(4), pp. 362-376, 2013    [ abstract ] [url] [BibTeX]  
G.A. Susto, S. McLoone, A. Schirru, S. Pampuri, D. Pagano, A. Beghi. Prediction of Integral Type Failures in Semiconductor Manufacturing through Classification Methods. 18-th IEEE Conference on Emerging Technologies and Factory Automation, 2013    [ abstract ] [url] [BibTeX]  
G.A. Susto, A.B. Johnston, P.G. O’Hara, S. McLoone. Virtual Metrology Enabled Early Stage Prediction for Enhanced Control of Multi-stage Fabrication Processes. Automation Science and Engineering (CASE), 2013 IEEE International Conference on, 2013    [ abstract ] [url] [BibTeX]  
2012
G.A. Susto, A. Schirru, S. Pampuri, A. Beghi. A Predictive Maintenance System based on Regularization Methods for Ion-Implantation. 23rd IEEE/SEMI Advanced Semiconductor Manufacturing Conference, pp. 175-180, 2012    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Beghi, C. De luca. A Predictive Maintenance System for Epitaxy Processes based on Filtering and Prediction Techniques. IEEE Transactions on Semiconductor Manufacturing, vol. 25pp. 638 - 649, 2012    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Beghi. An Information Theory-based Approach to Data Clustering for Virtual Metrology and Soft Sensors. 3rd International conference on CIRCUITS, SYSTEMS, CONTROL, SIGNALS, pp. 198--203, 2012    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Schirru, S. Pampuri, G. De nicolao, A. Beghi. An Information-Theory and Virtual Metrology-based approach to Run-to-Run Semiconductor Manufacturing Control. Automation Science and Engineering (CASE), 2012 IEEE International Conference on, pp. 358 -363, 2012    [ abstract ] [url] [BibTeX]  
G.A. Susto, S. Pampuri, A. Schirru, G. De nicolao, S. McLoone, A. Beghi. Automatic Control and Machine Learning for Semiconductor Manufacturing: Review and Challenges. 10th European Workshop on Advanced Control and Diagnosis, 2012    [ abstract ] [BibTeX]  
G.A. Susto, A. Schirru, S. Pampuri, S. McLoone. Enhanced Virtual Metrology with Time Series Data. Intel Ireland Research Conference (ERIC 2012), 2012   [BibTeX]  
A. Schirru, G.A. Susto, S. Pampuri, S. McLoone. Learning from Time Series: Supervised Aggregative Feature Extraction. 51st IEEE Conference on Decision and Control, pp. 5254--5259, 2012    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Beghi. Least Angle Regression for Semiconductor Manufacturing Modeling. Control Applications (CCA), 2012 IEEE International Conference on, pp. 658--663, 2012    [ abstract ] [url] [BibTeX]  
S. Pampuri, A. Schirru, G.A. Susto, G. De nicolao, A. Beghi, C. De luca. Multistep Virtual Metrology Approaches for Semiconductor Manufacturing Processes. Automation Science and Engineering (CASE), 2012 IEEE International Conference on, pp. 91 -- 96, 2012    [ abstract ] [url] [BibTeX]  
G.A. Susto, S. Pampuri, A. Schirru, A. Beghi. Optimal Tuning of Epitaxy Pyrometers. 23rd IEEE/SEMI Advanced Semiconductor Manufacturing Conference, pp. 294-299, 2012    [ abstract ] [url] [BibTeX]  
2011
G.A. Susto, A. Beghi, C. De luca. A Predictive Maintenance System for Silicon Epitaxial Deposition. Proceeding of 7th IEEE International Conference on Automation Science and Engineering, pp. 262-267, 2011    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Beghi, C. De luca. A Virtual Metrology System for Predicting CVD Thickness with Equipment Variables and Qualitative Clustering. Proceeding of 16th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 1-4, 2011    [ abstract ] [url] [BibTeX]  
2010
G.A. Susto, M. Krstic. Control of PDE-ODE cascades with Neumann interconnections. Journal of the Franklin Institute, vol. 347 Dynamics and Control(1), pp. 284 - 314, 2010    [ abstract ] [url] [BibTeX]