Home People Gian A. Susto Publications
Publications     [ all BibTeX ]
20XX
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. 20XX    [ 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, 2017   [BibTeX]  
M. Terzi, A. Cenedese, G.A. Susto. A multivariate symbolic approach to activity recognition for wearable applications. IFAC World Congress 2017, 2017    [ abstract ] [pdf] [BibTeX]  
G.A. Susto, M. Terzi, A. Beghi. Anomaly Detection Approaches for Semiconductor Manufacturing. 27th International Conference on Flexible Automation and Intelligent Manufacturing, 2017    [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   [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 ] [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   [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 ] [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 ] [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 ] [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 ] [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 ] [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 ] [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 ] [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]  
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]