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Reporitory of past Ph.D. dissertations

Publications Lists     [ all BibTeX ]  

Publications of keyword: Machine learning
20XX
A. Cenedese, L. Minetto, G.A. Susto, M. Terzi. Human Activity Recognition with Wearable Devices: A Symbolic Approach. PsychNology [submitted], 20XX    [ abstract ] [BibTeX]  
2017
M. Terzi, A. Cenedese, G.A. Susto. A multivariate symbolic approach to activity recognition for wearable applications. IFAC World Congress 2017, 2017   [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), 2017    [pdf] [BibTeX]  
M. Todescato, A. Carron, R. Carli, G. Pillonetto, L. Schenato. Multi-Robots Gaussian Estimation and Coverage Control: from Server-based to Distributed Architecture. Automatica [available online], 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]  
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 ] [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   [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 ] [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]