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Reporitory of past Ph.D. dissertations

Publications Lists     [ all BibTeX ]  

Publications of keyword: Deep Learning
2020
M. Maggipinto, M. Terzi, G.A. Susto. Beta-Variational Classifiers Under Attack. IFAC World Congress, 2020   [BibTeX]  
M. Terzi, G.A. Susto, P. Chaudhari. Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. Engineering Applications of Artificial Intelligence, vol. 91, 2020    [ abstract ] [url] [BibTeX]  
N. Gentner, M. Carletti, G.A. Susto, A. Kyek, Y. Yang. Enhancing Scalability of Virtual Metrology: a Deep Learning-based Approach for Domain Adaptation. Winter Simulation Conference, 2020    [ abstract ] [BibTeX]  
R. Fantinel, A. Cenedese. Multistep hybrid learning: CNN driven by spatial–temporal features for faults detection on metallic surfaces. Journal of Electronic Imaging, vol. 4, pp. 29, 2020    [ abstract ] [url] [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, vol. 38, pp. 233-240, 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, vol. 38, pp. 248-255, 2019    [ abstract ] [BibTeX]  
2017
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]