Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms B Trawiński, M Smętek, Z Telec, T Lasota International Journal of Applied Mathematics and Computer Science 22 (4 …, 2012 | 204 | 2012 |
Comparison of bagging, boosting and stacking ensembles applied to real estate appraisal M Graczyk, T Lasota, B Trawiński, K Trawiński Intelligent Information and Database Systems: Second International …, 2010 | 166 | 2010 |
Comparative analysis of premises valuation models using KEEL, RapidMiner, and WEKA M Graczyk, T Lasota, B Trawiński Computational Collective Intelligence. Semantic Web, Social Networks and …, 2009 | 84 | 2009 |
On employing fuzzy modeling algorithms for the valuation of residential premises E Lughofer, B Trawiński, K Trawiński, O Kempa, T Lasota Information Sciences 181 (23), 5123-5142, 2011 | 65 | 2011 |
Investigation of evolutionary optimization methods of TSK fuzzy model for real estate appraisal D Król, T Lasota, B Trawiński, K Trawiński International Journal of Hybrid Intelligent Systems 5 (3), 111-128, 2008 | 50 | 2008 |
Valuing environmental amenities in peri-urban areas: Evidence from Poland M Sylla, T Lasota, S Szewrański Sustainability 11 (3), 570, 2019 | 45 | 2019 |
Investigation of bagging ensembles of genetic neural networks and fuzzy systems for real estate appraisal O Kempa, T Lasota, Z Telec, B Trawiński Intelligent Information and Database Systems: Third International Conference …, 2011 | 41 | 2011 |
Nonparametric statistical analysis of machine learning algorithms for regression problems M Graczyk, T Lasota, Z Telec, B Trawiński Knowledge-Based and Intelligent Information and Engineering Systems: 14th …, 2010 | 39 | 2010 |
Investigation of the eTS Evolving Fuzzy Systems Applied to Real Estate Appraisal. T Lasota, Z Telec, B Trawinski, K Trawinski J. Multiple Valued Log. Soft Comput. 17 (2-3), 229-253, 2011 | 37 | 2011 |
Comparison of data driven models for the valuation of residential premises using KEEL T Lasota, J Mazurkiewicz, B Trawiński, K Trawiński International Journal of Hybrid Intelligent Systems 7 (1), 3-16, 2010 | 30 | 2010 |
Comparison of mamdani and TSK fuzzy models for real estate appraisal D Król, T Lasota, B Trawiński, K Trawiński Knowledge-Based Intelligent Information and Engineering Systems: 11th …, 2007 | 29 | 2007 |
A multi-agent system to assist with real estate appraisals using bagging ensembles T Lasota, Z Telec, B Trawiński, K Trawiński Computational Collective Intelligence. Semantic Web, Social Networks and …, 2009 | 28 | 2009 |
Fuzzy system model to assist with real estate appraisals D Król, T Lasota, W Nalepa, B Trawiński New Trends in Applied Artificial Intelligence: 20th International Conference …, 2007 | 27 | 2007 |
Empirical comparison of resampling methods using genetic fuzzy systems for a regression problem T Lasota, Z Telec, G Trawiński, B Trawiński Intelligent Data Engineering and Automated Learning-IDEAL 2011: 12th …, 2011 | 26 | 2011 |
Exploration of bagging ensembles comprising genetic fuzzy models to assist with real estate appraisals T Lasota, Z Telec, B Trawiński, K Trawiński Intelligent Data Engineering and Automated Learning-IDEAL 2009: 10th …, 2009 | 24 | 2009 |
Analysis of bagging ensembles of fuzzy models for premises valuation M Krzystanek, T Lasota, Z Telec, B Trawiński Intelligent Information and Database Systems: Second International …, 2010 | 22 | 2010 |
Investigation of random subspace and random forest methods applied to property valuation data T Lasota, T Łuczak, B Trawiński Computational Collective Intelligence. Technologies and Applications: Third …, 2011 | 17 | 2011 |
Evaluation of fuzzy system ensemble approach to predict from a data stream B Trawiński, M Smętek, T Lasota, G Trawiński Intelligent Information and Database Systems: 6th Asian Conference, ACIIDS …, 2014 | 15 | 2014 |
Investigation of rotation forest method applied to property price prediction T Lasota, T Łuczak, B Trawiński Artificial Intelligence and Soft Computing: 11th International Conference …, 2012 | 14 | 2012 |
Empirical comparison of bagging ensembles created using weak learners for a regression problem K Bańczyk, O Kempa, T Lasota, B Trawiński Intelligent Information and Database Systems: Third International Conference …, 2011 | 14 | 2011 |