| Machine learning for predictive maintenance: A multiple classifier approach GA Susto, A Schirru, S Pampuri, S McLoone, A Beghi IEEE transactions on industrial informatics 11 (3), 812-820, 2014 | 1020 | 2014 |
| Data-driven fault detection and diagnosis for HVAC water chillers A Beghi, R Brignoli, L Cecchinato, G Menegazzo, M Rampazzo, ... Control Engineering Practice 53, 79-91, 2016 | 232 | 2016 |
| A predictive maintenance system for epitaxy processes based on filtering and prediction techniques GA Susto, A Beghi, C De Luca IEEE Transactions on Semiconductor Manufacturing 25 (4), 638-649, 2012 | 127 | 2012 |
| Explainable machine learning in industry 4.0: Evaluating feature importance in anomaly detection to enable root cause analysis M Carletti, C Masiero, A Beghi, GA Susto 2019 IEEE international conference on systems, man and cybernetics (SMC), 21-26, 2019 | 114 | 2019 |
| A PSO-based algorithm for optimal multiple chiller systems operation A Beghi, L Cecchinato, G Cosi, M Rampazzo Applied Thermal Engineering 32, 31-40, 2012 | 108 | 2012 |
| A convolutional autoencoder approach for feature extraction in virtual metrology M Maggipinto, C Masiero, A Beghi, GA Susto Procedia Manufacturing 17, 126-133, 2018 | 103 | 2018 |
| Anomaly detection approaches for semiconductor manufacturing GA Susto, M Terzi, A Beghi Procedia Manufacturing 11, 2018-2024, 2017 | 92 | 2017 |
| A multi-phase genetic algorithm for the efficient management of multi-chiller systems A Beghi, L Cecchinato, M Rampazzo Energy Conversion and Management 52 (3), 1650-1661, 2011 | 89 | 2011 |
| Anomaly detection through on-line isolation forest: An application to plasma etching GA Susto, A Beghi, S McLoone 2017 28th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC …, 2017 | 87 | 2017 |
| A one-class svm based tool for machine learning novelty detection in hvac chiller systems A Beghi, L Cecchinato, C Corazzol, M Rampazzo, F Simmini, GA Susto IFAC Proceedings Volumes 47 (3), 1953-1958, 2014 | 84 | 2014 |
| Matmpc-a matlab based toolbox for real-time nonlinear model predictive control Y Chen, M Bruschetta, E Picotti, A Beghi 2019 18th European Control Conference (ECC), 3365-3370, 2019 | 81 | 2019 |
| Advances in real-time plasma boundary reconstruction: From gaps to snakes A Beghi, A Cenedese IEEE Control Systems Magazine 25 (5), 44-64, 2005 | 80 | 2005 |
| A real time implementation of MPC based Motion Cueing strategy for driving simulators A Beghi, M Bruschetta, F Maran 2012 IEEE 51st IEEE conference on decision and control (CDC), 6340-6345, 2012 | 77 | 2012 |
| Energy efficient control of HVAC systems with ice cold thermal energy storage A Beghi, L Cecchinato, M Rampazzo, F Simmini Journal of process control 24 (6), 773-781, 2014 | 76 | 2014 |
| Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach GA Susto, S Pampuri, A Schirru, A Beghi, G De Nicolao Computers & Operations Research 53, 328-337, 2015 | 73 | 2015 |
| A ring lasers array for fundamental physics A Di Virgilio, M Allegrini, A Beghi, J Belfi, N Beverini, F Bosi, B Bouhadef, ... Comptes Rendus. Physique 15 (10), 866-874, 2014 | 71 | 2014 |
| An MPC approach to the design of motion cueing algorithms for driving simulators M Baseggio, A Beghi, M Bruschetta, F Maran, D Minen 2011 14th international IEEE conference on intelligent transportation …, 2011 | 71 | 2011 |
| Dealing with time-series data in predictive maintenance problems GA Susto, A Beghi 2016 IEEE 21st International Conference on Emerging Technologies and Factory …, 2016 | 69 | 2016 |
| A computer vision-inspired deep learning architecture for virtual metrology modeling with 2-dimensional data M Maggipinto, M Terzi, C Masiero, A Beghi, GA Susto IEEE Transactions on Semiconductor Manufacturing 31 (3), 376-384, 2018 | 65 | 2018 |
| A nonlinear, mpc-based motion cueing algorithm for a high-performance, nine-dof dynamic simulator platform M Bruschetta, F Maran, A Beghi IEEE Transactions on Control Systems Technology 25 (2), 686-694, 2016 | 55 | 2016 |
Gian Antonio SustoAssociate Professor @ University of Padova, Co-founder @ StatwolfBestätigte E-Mail-Adresse bei dei.unipd.it
