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Reporitory of past Ph.D. dissertations

Publications Lists     [ all BibTeX ]  

Publications of year 2021
A. Purpura, G.A. Susto. A Bayesian Neural Model for Documents’ Relevance Estimation. Design of Experimental Search & Information Retrieval Systems, 2021   [BibTeX]  
M. Berno, M. Canil, N. Chiarello, L. Piazzon, F. Berti, F. Ferrari, A. Zaupa, N. Ferro, M. Rossi, G.A. Susto. A Data Management and Anomaly Detection Solution for the Entertainment Industry. Italian Symposium on Database Systems (SEBD), 2021   [BibTeX]  
M. Hosseinzadeh, E. Garone, L. Schenato. A distributed optimal power management system for microgrids with plug&play capabilities. Advanced Control for Applications, vol. 3(1), 2021    [url] [BibTeX]  
M. Fabris, G. Michieletto, A. Cenedese. A General Regularized Distributed Solution for System State Estimation from Relative Measurements. IEEE Control Systems Letters, vol. 6, pp. 1580--1585, 2021    [ abstract ] [url] [BibTeX]  
M. Berno, M. Canil, N. Chiarello, L. Piazzon, F. Berti, F. Ferrari, A. Zaupa, N. Ferro, M. Rossi, G.A. Susto. A Machine Learning-based Approach for Advanced Monitoring of Automated Equipment for the Entertainment Industry. International Workshop on Metrology for Industry 4.0 & IoT, 2021   [BibTeX]  
S. Tedesco, G.A. Susto, N. Gentner, A. Kyek, Y. Yang. A Scalable Deep Learning-based Approach for Anomaly Detection in Semiconductor Manufacturing. Winter Simulation Conference, 2021    [ abstract ] [BibTeX]  
G. Michieletto, A. Cenedese, D. Zelazo. A Unified Dissertation on Bearing Rigidity Theory. IEEE Transactions on Control of Network Systems, vol. 8(4), pp. 1624--1636, 2021    [ abstract ] [url] [BibTeX]  
S. Chevalier, L. Schenato, L. Daniel. Accelerated Probabilistic Power Flow in Electrical Distribution Networks via Model Order Reduction and Neumann Series Expansion. IEEE Transactions on Power Systems, 2021    [url] [BibTeX]  
S. Chevalier, L. Schenato, L. Daniel. Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction. 2021 IEEE Power & Energy Society General Meeting (PESGM), 2021    [url] [BibTeX]  
M. Terzi, A. Achille, M. Maggipinto, G.A. Susto. Adversarial Training Reduces Information and Improves Transferability. 35th AAAI Conference on Artificial Intelligence, (arXiv:2007.11259), 2021    [ abstract ] [url] [BibTeX]  
A. Fabris, A. Mishler, S. Gottardi, M. Carletti, M. Daicampi, G.A. Susto, G. Silvello. Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. Fourth AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2021   [BibTeX]  
N. Bastianello, R. Carli, L. Schenato, M. Todescato. Asynchronous Distributed Optimization over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence. IEEE Transactions on Automatic Control, 2021    [ abstract ] [url] [BibTeX]  
N. Bargellesi, A. Beghi, M. Rampazzo, G.A. Susto. AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. IEEE Robotics and Automation Letters, vol. 6(3), pp. 6100--6107, 2021    [ abstract ] [url] [BibTeX]  
M. Pezzutto, E. Garone, L. Schenato. Constrained Control with Communication Blackouts: Theory and Experimental Validation over Wi-Fi. Proceedings of IEEE Mediterranean Conference (MED'21), 2021   [BibTeX]  
N. Gentner, M. Carletti, A. Kyek, G.A. Susto, Y. Yang. DBAM: Making Virtual Metrology/Soft Sensing with Time Series Data Scalable Through Deep Learning. Control Engineering Practice, vol. 116, 2021    [ abstract ] [BibTeX]  
F. Branz, R. Antonello, M. Pezzutto, F. Tramarin, S. Vitturi, L. Schenato. Drive–by–Wi-Fi: Model–Based Control over Wireless at 1-kHz. IEEE Transactions on Control Systems Technology, 2021    [url] [BibTeX]  
S. Arena, Y. Budrov, M. Carletti, N. Gentner, M. Maggipinto, Y. Yang, A. Beghi, A. Kyek, G.A. Susto. Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images. IEEE Transactions on Semiconductor Manufacturing, 2021    [ abstract ] [BibTeX]  
L.C. Brito, G.A. Susto, J.N. Brito, M.A.V. Duarte. Fault Detection of Bearing: an Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction. Informatics, 2021   [BibTeX]  
D. Biasion, A. Fabris, G. Silvello, G.A. Susto. Gender Bias in Italian Word Embeddings. CLIC-IT 2020 Seventh Italian Conference on Computational Linguistics, 2021   [BibTeX]  
B. Pozzan, G. Michieletto, A. Cenedese, D. Zelazo. Heterogeneous Formation Control: a Bearing Rigidity Approach. IEEE Conference on Decision and Control (CDC2021), pp. 6451--6456, 2021    [ abstract ] [url] [BibTeX]  
R. Fantinel, A. Cenedese, G. Fadel. Hybrid Learning Driven by Dynamic Descriptors for Video Classification of Reflective Surfaces. IEEE Transactions on Industrial Informatics, vol. 17(12), pp. 8102--8111, 2021    [ abstract ] [url] [BibTeX]  
G.M. Di Nunzio, A. Fabris, G. Silvello, G.A. Susto. Incentives for Item Duplication under Fair Ranking Policies. European Conference on Information Retrieval (ECIR) 2021, 2021   [BibTeX]  
M. Viola, L. Brunelli, G.A. Susto. Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach. Italian Workshop on Artificial Intelligence and Applications for Business and Industries, 2021   [BibTeX]  
M. Barbiero, A. Rossi, L. Schenato. LQR Temperature Control in smart building via real-time weather forecasting. Proceedings of IEEE Mediterranean Conference (MED'21), 2021   [BibTeX]  
D. Marcato, G. Arena, D. Bortolato, F. Gelain, V. Martinelli, E. Munaron, M. Roetta, G. Savarese, G.A. Susto. Machine Learning-based Anomaly Detection for Particle Accelerators. 5th IEEE Conference on Control Technology and Applications (CCTA), 2021    [ abstract ] [BibTeX]  
I. Zorzan, S. Del Favero, A. Giarretta, R. Manganelli, B. Di Camillo, L. Schenato. Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response. BMC Bioinformatics, vol. 22(558), 2021    [url] [BibTeX]  
A. Fabris, A. Purpura, G. Silvello, G.A. Susto. Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. Proceedings of the 2021 Italian Information Retrieval Workshop, 2021   [BibTeX]  
B. Elaamery, M. Pesavento, T. Aldovini, N. Lissandrini, G. Michieletto, A. Cenedese. Model Predictive Control for Cooperative Transportation with Feasibility-Aware Policy. Robotics, vol. 10(3), pp. 84, 2021    [ abstract ] [url] [BibTeX]  
N. Dal Fabbro, M. Rossi, G. Pillonetto, L. Schenato, G. Piro. Model-free radio map estimation in massive MIMO systems via semi-parametric Gaussian regression. IEEE Wireless Communications Letters, 2021    [url] [BibTeX]  
C. Favaretto, S. Spadone, C. Sestieri, V. Betti, A. Cenedese, S. Della Penna, M. Corbetta. Multi-band MEG signatures of BOLD connectivity reorganization during visuospatial attention. Neuroimage, 2021    [ abstract ] [url] [BibTeX]  
A. Purpura, K. Buchner, G. Silvello, G.A. Susto. Neural Feature Selection for Learning to Rank. Proceedings of the European Conference on Information Retrieval, 2021   [BibTeX]  
N. Rossello, M. Pezzutto, L. Schenato, I. Castagliuolo, E. Garone. On the effect of the number of tests and their time of application in tracing policies against COVID-19. Proceeding of 11th IFAC Symposium on Biological and Medical Systems (BMS'21), 2021   [BibTeX]  
L. Varotto, A. Cenedese. Online and Adaptive Parking Availability Mapping: An Uncertainty-Aware Active Sensing Approach for Connected Vehicles. IEEE Intelligent Vehicles (IV2021) - workshop on Online Map Validation and Road Model Creation, pp. 31--36, 2021    [ abstract ] [url] [BibTeX]  
L. Ballotta, M. Jovanovic, L. Schenato. Optimal Network Topology of Multi-Agent Systems subject to Computation and Communication Latency. Proceedings of IEEE Mediterranean Conference (MED'21), 2021   [BibTeX]  
L. Mancin, I. Rollo, J.F. Mota, F. Piccini, M. Carletti, G.A. Susto, G. Valle, A. Paoli. Optimizing Microbiota Profiles for Athletes: Dream or Reality?. Exercise and sport sciences reviews, vol. 49(1), pp. 42--49, 2021    [ abstract ] [url] [BibTeX]  
L. Varotto, A. Cenedese, A. Cavallaro. Probabilistic Radio-Visual Active Sensing for Search and Tracking. European Control Conference (ECC2021), pp. 417--422, 2021    [ abstract ] [url] [BibTeX]  
L. Varotto, A. Cenedese. Probabilistic RF-Assisted Camera Wake-Up through Self-Supervised Gaussian Process Regression. Mediterranean Conference on Control and Automation (MED2021), 2021    [ abstract ] [url] [BibTeX]  
L. Varotto, A. Cenedese. RaViPAS - Radio-Visual Probabilistic Active Sensing. R2T2: Robotics Research for Tomorrow's Technology, 2021    [url] [BibTeX]  
M. Pezzutto, N. Rossello, L. Schenato, E. Garone. Smart Testing and Selective Quarantine for the Control of Epidemics. Annual Reviews in Control, 2021    [url] [BibTeX]  
L. Varotto, A. Cenedese. Transmitter Discovery through Radio-Visual Probabilistic Active Sensing. 25th International Conference on Methods and Models in Automation and Robotics (MMAR 2021), 2021    [ abstract ] [url] [BibTeX]  
L. Frau, G.A. Susto, T. Barbariol, E. Feltresi. Uncertainty estimation for Machine Learning models in Multiphase flow Applications. Informatics, vol. 8(3), 2021    [ abstract ] [BibTeX]  
A. Fabris, L. Parolini, S. Schneider, A. Cenedese. Use of probabilistic graphical methods for online map validation. IEEE Intelligent Vehicles (IV2021) - workshop on Online Map Validation and Road Model Creation, pp. 43--48, 2021    [ abstract ] [url] [BibTeX]