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Reporitory of past Ph.D. dissertations

Publications Lists     [ all BibTeX ]  

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), 2019   [BibTeX]  
M. Hosseinzadeh, E. Garone, L. Schenato. A Distributed Method for Linear Programming Problems With Box Constraints and Time-Varying Inequalities. IEEE Control Systems Letters, vol. 3(2), pp. 404-409, 2019    [url] [BibTeX]  
I. Zorzan, S. Del Favero, B. Di Camillo, L. Schenato. Analysis of a Minimal Gene Regulatory Network for Cell Differentiation. IEEE Control Systems Letters, vol. 3(2), pp. 302-307, 2019    [url] [BibTeX]  
G. Violatto, A. Pandharipande, S. Li, L. Schenato. Classification of occupancy sensor anomalies in connected indoor lighting systems. IEEE Internet of Things Journal, 2019    [url] [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]  
F. Branz, M. Pezzutto, R. Antonello, F. Tramarin, L. Schenato. Drive–by–Wi-Fi: taming 1 kHz control applications over wireless. European Control Conference (ECC'19), 2019   [BibTeX]  
I. Zorzan. Localized Spatial Emergent Behaviour in Bacterial Cells via Band-Detect Network Motif. European Control Conference (ECC'19), 2019   [BibTeX]  
N. Trivellin, D. Barbisan, M. Pietrobon, D. Badocco, P. Pastore, A. Cenedese, G. Meneghesso, E. Zanoni, M. Meneghini. Near-UV LED-based systems for low-cost and compact oxygen-sensing systems in gas and liquids. SPIE Conference - Photonics West Opto Proc. SPIE 10940, Light-Emitting Devices, Materials, and Applications, pp. 109400V, 2019    [ abstract ] [url] [BibTeX]  
B. Zhu, G. Baggio. On the Existence of a Solution to a Spectral Estimation Problem a la Byrnes-Georgiou-Lindquist. IEEE Transactions on Automatic Control, 2019   [BibTeX]  
A. Franchi, P. Robuffo Giordano, G. Michieletto. Online Leader Selection for Collective Tracking and Formation Control: the Second Order Case. IEEE Transactions on Control of Network Systems, pp. 1-1, 2019    [ abstract ] [BibTeX]  
N. Bastianello, A. Simonetto, R. Carli. Prediction-Correction for Nonsmooth Time-Varying Optimization via Forward-Backward Envelopes. Inernational Conference on Acoustics, Speech, and Signal Processing (ICASSP'19), pp. 5581-5585, 2019    [ abstract ] [url] [BibTeX]  
N. Bastianello, A. Simonetto, R. Carli. Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization. European Control Conference (ECC'19) [accepted], 2019    [ abstract ] [url] [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]  
K. Yildirim, R. Carli, L. Schenato. Safe Distributed Control of Wireless Power Transfer Networks. IEEE Internet of Things Journal, vol. 1(6), pp. 1267-1275, 2019    [url] [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]