| Bearing fault prognostics using Rényi entropy based features and Gaussian process models P Boškoski, M Gašperin, D Petelin, Đ Juričić Mechanical Systems and Signal Processing 52, 327-337, 2015 | 125 | 2015 |
| Evolving Gaussian process models for prediction of ozone concentration in the air D Petelin, A Grancharova, J Kocijan Simulation modelling practice and theory 33, 68-80, 2013 | 77 | 2013 |
| GP-DEMO: differential evolution for multiobjective optimization based on Gaussian process models M Mlakar, D Petelin, T Tušar, B Filipič European Journal of Operational Research 243 (2), 347-361, 2015 | 76 | 2015 |
| Control system with evolving Gaussian process models D Petelin, J Kocijan 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS), 178-184, 2011 | 39 | 2011 |
| Bearing fault prognostics based on signal complexity and Gaussian process models P Boškoski, M Gašperin, D Petelin 2012 IEEE Conference on Prognostics and Health Management, 1-8, 2012 | 37 | 2012 |
| Optimization of Gaussian process models with evolutionary algorithms D Petelin, B Filipič, J Kocijan Adaptive and Natural Computing Algorithms: 10th International Conference …, 2011 | 36 | 2011 |
| Evolving Gaussian process models for predicting chaotic time-series D Petelin, J Kocijan 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2014 | 22 | 2014 |
| Output-error model training for Gaussian process models J Kocijan, D Petelin Adaptive and Natural Computing Algorithms: 10th International Conference …, 2011 | 18 | 2011 |
| On-line Gaussian process model for the prediction of the ozone concentration in the air D Petelin, J Kocijan, A Grancharova Comptes Rendus de l Academie Bulgare des Sciences 64 (1), 117-124, 2011 | 13 | 2011 |
| Financial modeling using Gaussian process models D Petelin, J Šindelář, J Přikryl, J Kocijan Proceedings of the 6th IEEE International Conference on Intelligent Data …, 2011 | 10 | 2011 |
| Gaussian processes for machine learning D Petelin International Journal of Neural Systems 14 (6), 3011-3015, 2006 | 10 | 2006 |
| Regressor selection for ozone prediction J Kocijan, M Hančič, D Petelin, MZ Božnar, P Mlakar Simulation Modelling Practice and Theory 54, 101-115, 2015 | 9 | 2015 |
| Adaptive importance sampling for Bayesian inference in Gaussian process models D Petelin, M Gasperin, V Smídl IFAC Proceedings Volumes 47 (3), 5011-5016, 2014 | 8 | 2014 |
| Accelerated learning of Gaussian process models B Musizza, D Petelin, J Kocijan Proceedings of the 7th EUROSIM Congress on Modelling and Simulation EUROSIM …, 2010 | 7 | 2010 |
| Evolving Gaussian process models D Petelin, J Kocijan Proceedings of the IEEE Symposium Series on Computational Intelligence 2011, 2011 | 5 | 2011 |
| Ozone forecasting using an online updating Gaussian-process model D Petelin, P Mlakar, MZ Božnar, B Grašič, J Kocijan International Journal of Environment and Pollution 57 (3-4), 111-122, 2015 | 4 | 2015 |
| Closed-loop control with Evolving Gaussian process models J Kocijan, D Petelin Complex Systems: Relationships between Control, Communications and Computing …, 2016 | 3 | 2016 |
| Signal complexity and gaussian process models approach for bearing remaining useful life estimation P Boškoski, M Gašperin, D Petelin Advances in Condition Monitoring of Machinery in Non-Stationary Operations …, 2014 | 3 | 2014 |
| Sprotno učenje modelov na podlagi Gaussovih procesov D Petelin Univerza v Ljubljani, 2009 | 2 | 2009 |
| Streaming-data selection for Gaussian-process modelling D Petelin, J Kocijan Towards Advanced Data Analysis by Combining Soft Computing and Statistics …, 2013 | 1 | 2013 |
