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Reporitory of past Ph.D. dissertations

Publications Lists     [ all BibTeX ]  

Publications of year 2019
A. Masiero, F. Fissore, R. Antonello, A. Cenedese, A. Vettore. A COMPARISON OF UWB AND MOTION CAPTURE UAV INDOOR POSITIONING. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-2/W13, pp. 1695--1699, 2019    [ abstract ] [url] [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), pp. 187 -- 191, 2019    [ abstract ] [BibTeX]  
A. Cenedese, V. Luca. A Distributed Approach to 3D Reconstruction in Marker Motion Capture Systems.. vol. International Conference on Distributed Smart Cameas, 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]  
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]  
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, vol. 6(4), pp. 7175-7182, 2019    [url] [BibTeX]  
N. Lissandrini, G. Michieletto, R. Antonello, M. Galvan, A. Franco, A. Cenedese. Cooperative Optimization of UAVs Formation Visual Tracking. Robotics, vol. 8(3), pp. 1--22 (Article Number 52), 2019    [ abstract ] [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]  
D. Varagnolo, G. Pillonetto, L. Schenato. Distributed multi-agent Gaussian regression via finite-dimensional approximations. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41(9), pp. 2098-2111, 2019    [url] [pdf] [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]  
F. Branz, R. Antonello, F. Tramarin, T. Fedullo, S. Vitturi, L. Schenato. Embedded systems for time–critical applications over Wi-Fi: design and experimental assessment. Proceedings of IEEE International Conference on Industrial Informatics (INDIN'19), 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]  
I. Zorzan. Localized Spatial Emergent Behaviour in Bacterial Cells via Band-Detect Network Motif. European Control Conference (ECC'19), 2019   [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]  
L. Brinon-Arranz, A. Renzaglia, L. Schenato. Multi-robot gradient and Hessian estimation using symmetric formations for source seeking. IEEE Trans. on Robotics, vol. 3(35), pp. 782 - 789, 2019    [url] [BibTeX]  
N. Bof, R. Carli, G. Notarstefano, L. Schenato, D. Varagnolo. Multiagent Newton-Raphson Optimizaton over lossy networks. IEEE Trans. Automatic Control, vol. 64(7), pp. 2983 - 2990, 2019    [url] [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. International 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), pp. 1963-1968, 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]  
K. Yildirim, R. Carli, L. Schenato. Safe Distributed Control of Wireless Power Transfer Networks. IEEE Internet of Things Journal, vol. 6(1), 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]