| Ensemble neural network approach for accurate load forecasting in a power system K Siwek, S Osowski, R Szupiluk International Journal of Applied Mathematics and Computer Science 19 (2 …, 2009 | 104 | 2009 |
| Self adaptive independent component analysis for sub-Gaussian and super-Gaussian mixtures with unknown number of sources and additive noise A Cichocki, I Sabala, S Choi, B Orsier, R Szupiluk Proc. NOLTA 97, 731-734, 1997 | 61 | 1997 |
| ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ASSESSMENT K Gajowniczek, T Ząbkowski, R Szupiluk Metody Ilościowe w Badaniach Ekonomicznych 15 (2), 382-391, 2014 | 28 | 2014 |
| Model improvement by the statistical decomposition R Szupiluk, P Wojewnik, T Zabkowski Artificial Intelligence and Soft Computing-ICAISC 2004: 7th International …, 2004 | 26 | 2004 |
| Dekompozycje wielowymiarowe w agregacji predykcyjnych modeli data mining R Szupiluk Szkoła Główna Handlowa. Oficyna Wydawnicza, 2013 | 19 | 2013 |
| Grade analysis for energy usage patterns segmentation based on smart meter data T Ząbkowski, K Gajowniczek, R Szupiluk 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 234-239, 2015 | 16 | 2015 |
| Prediction improvement via smooth component analysis and neural network mixing R Szupiluk, P Wojewnik, T Ząbkowski International Conference on Artificial Neural Networks, 133-140, 2006 | 16 | 2006 |
| Blind signal separation using second order statistics R Szupiluk, A Cichocki Proceedings of SPETO, 485-488, 2001 | 15 | 2001 |
| Smooth component analysis as ensemble method for prediction improvement R Szupiluk, P Wojewnik, T Ząbkowski International Conference on Independent Component Analysis and Signal …, 2007 | 11 | 2007 |
| Noise detection for ensemble methods R Szupiluk, P Wojewnik, T Zabkowski International Conference on Artificial Intelligence and Soft Computing, 471-478, 2010 | 10 | 2010 |
| Smooth component analysis and MSE decomposition for ensemble methods in multi-agent environment R Szupiluk, P Wojewnik, T Zabkowski Int. J. Innov. Comput. Inf. Control 10 (4), 1435-1445, 2014 | 9 | 2014 |
| Blind source separation for improved load forecasting on individual household level K Gajowniczek, T Zabkowski, R Szupiluk Proceedings of the 9th International Conference on Computer Recognition …, 2016 | 6 | 2016 |
| Combining Forecasts with Blind Signal Separation Methods in Electric Load Prediction Framework. R Szupiluk, P Wojewnik, T Zabkowski, A Niepodleglosci, PT Cyfrowa, ... Artificial Intelligence and Applications, 439-444, 2006 | 6 | 2006 |
| Blind source separation for improved load forecasting in the power system K Siwek, S Osowski, R Szupiluk, P Wojewnik, T Zabkowski Proceedings of the 2005 European Conference on Circuit Theory and Design …, 2005 | 6 | 2005 |
| The noise identification method based on divergence analysis in ensemble methods context R Szupiluk, P Wojewnik, T Zabkowski Adaptive and Natural Computing Algorithms: 10th International Conference …, 2011 | 3 | 2011 |
| Noise Detection for Latent Component Classification in Ensemble Method R Szupiluk Przegląd Elektrotechniczny 86 (1), 144-146, 2010 | 3 | 2010 |
| Metodyka i praktyka filtracji opartej na ślepej separacji sygnałów R Szupiluk, P Rubach Roczniki Kolegium Analiz Ekonomicznych/Szkoła Główna Handlowa, 183-195, 2019 | 2 | 2019 |
| Extreme Value Model for Volatility Measure in Machine Learning Ensemble R Szupiluk, P Rubach Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 2 | 2018 |
| Analysis of financial time series morphology with amuse algorithm and its extensions R Szupiluk, T Ząbkowski, T Soboń Acta Physica Polonica A 129 (5), 1018-1022, 2016 | 2 | 2016 |
| Blind signal separation methods for integration of neural networks results R Szupiluk, P Wojewnik, T Zabkowski 2006 9th International Conference on Information Fusion, 1-6, 2006 | 2 | 2006 |
Krzysztof SiwekWarsaw University of TechnologyZweryfikowany adres z pw.edu.pl
