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Reporitory of past Ph.D. dissertations

Publications Lists     [ all BibTeX ]  

Publications of category inbook
20XX
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, ((to appear)), 20XX    [ abstract ] [url] [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 (accepted), 20XX    [ abstract ] [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. (to appear), 20XX   [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]  
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, 2019   [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   [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, 2019   [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. 163, 2019    [ abstract ] [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]  
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. 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. 17, pp. 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. 17, pp. 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]  
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]  
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]  
M. Zorzi, A. Chiuso. The Harmonic Analysis of Kernel Functions. Automatica - accepted, 2018   [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
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. 11, pp. 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]  
M. Todescato, A. Dalla Libera, R. Carli, G. Pillonetto, L. Schenato. Distributed Kalman Filtering for Time-Space Gaussian Processes (with proofs). 20th World Congress of International Federation of Automatic Control (IFAC), pp. 13234--13239, 2017    [pdf] [BibTeX]  
G. Prando, M. Zorzi, A. Bertoldo, A. Chiuso. Estimating effective connectivity in linear brain network models. 56th IEEE Conference on Decision and Control, pp. accepted, 2017   [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]  
M. Todescato, A. Carron, R. Carli, G. Pillonetto, L. Schenato. Multi-Robots Gaussian Estimation and Coverage Control: from Server-based to Peer-to-Peer Architecture. Automatica, vol. 80, pp. 284--294, 2017    [url] [pdf] [BibTeX]  
M. Zorzi, A. Chiuso. Sparse plus Low rank Network Identification: A Nonparamteric Approach. Automatica, vol. 53(2), 2017   [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]  
T. Chen, G. Pillonetto, A. Chiuso, L. Ljung. DC kernel - a stable generalized first order spline kernel. Proc. of CDC 2016 - accepted, 2016   [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]  
M. Todescato, A. Carron, R. Carli, L. Schenato, G. Pillonetto. Machine Learning meets Kalman Filtering (with proofs). 55th IEEE Conference on Decision and Control (CDC16), pp. 4594--4599, 2016    [pdf] [BibTeX]  
S. Soatto, A. Chiuso. Modeling Visual Representations:Defining Properties and Deep Approximations. International Conference on Learning Representation (ICLR), 2016   [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. 12, pp. 1243 - 1252, 2016    [ abstract ] [url] [BibTeX]  
2015
D. Romeres, G. Pillonetto, A. Chiuso. Identification of stable models via nonparametric prediction error methods. Proc. of the European Control Conference, 2015    [ abstract ] [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. 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]  
S. Soatto, A. Chiuso. Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximation. International Conference on Learning Representation (ICLR), Workshop Track, 2015   [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. Chiuso. System Identification Techniques: Convexification, Regularization, Relaxation. Springer Encyclopedia of Systems and Control, 2014   [BibTeX]