Takip et
Tadeusz Lasota
Tadeusz Lasota
Uniwersytet Przyrodniczy we Wrocławiu
upwr.edu.pl üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
2042012
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
1662010
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
842009
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
652011
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
502008
Valuing environmental amenities in peri-urban areas: Evidence from Poland
M Sylla, T Lasota, S Szewrański
Sustainability 11 (3), 570, 2019
442019
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
412011
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
392010
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
372011
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
302010
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
292007
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
282009
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
272007
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
262011
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
242009
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
222010
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
172011
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
152014
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
142012
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
142011
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20