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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Analysis of Bagging Ensembles of Fuzzy Models for Premises Valuation
Marek Krzystanek, Tadeusz Lasota, Zbigniew Telec, et al.
Lecture notes in computer science (2010), pp. 330-339
Closed Access | Times Cited: 22

Showing 22 citing articles:

Comparison of expert algorithms with machine learning models for real estate appraisal
Bogdan Trawiński, Zbigniew Telec, Jacek Krasnoborski, et al.
(2017), pp. 51-54
Closed Access | Times Cited: 31
Investigation of Bagging Ensembles of Genetic Neural Networks and Fuzzy Systems for Real Estate Appraisal
Olgierd Kempa, Tadeusz Lasota, Zbigniew Telec, et al.
Lecture notes in computer science (2011), pp. 323-332
Closed Access | Times Cited: 32
Selection of Heterogeneous Fuzzy Model Ensembles Using Self-adaptive Genetic Algorithms
Magdalena Smętek, Bogdan Trawiński
New Generation Computing (2011) Vol. 29, Iss. 3, pp. 309-327
Closed Access | Times Cited: 24
Empirical Comparison of Resampling Methods Using Genetic Fuzzy Systems for a Regression Problem
Tadeusz Lasota, Zbigniew Telec, Grzegorz Trawiński, et al.
Lecture notes in computer science (2011), pp. 17-24
Closed Access | Times Cited: 24
Investigation of Rotation Forest Method Applied to Property Price Prediction
Tadeusz Lasota, Tomasz Łuczak, Bogdan Trawiński
Lecture notes in computer science (2012), pp. 403-411
Closed Access | Times Cited: 11
Investigation of Random Subspace and Random Forest Methods Applied to Property Valuation Data
Tadeusz Lasota, Tomasz Łuczak, Bogdan Trawiński
Lecture notes in computer science (2011), pp. 142-151
Closed Access | Times Cited: 10
Comparison of Ensemble Learning Models with Expert Algorithms Designed for a Property Valuation System
Bogdan Trawiński, Tadeusz Lasota, Olgierd Kempa, et al.
Lecture notes in computer science (2017), pp. 317-327
Closed Access | Times Cited: 10
Evaluation of Neural Network Ensemble Approach to Predict from a Data Stream
Zbigniew Telec, Bogdan Trawiński, Tadeusz Lasota, et al.
Lecture notes in computer science (2014), pp. 472-482
Closed Access | Times Cited: 10
A Method for Merging Similar Zones to Improve Intelligent Models for Real Estate Appraisal
Tadeusz Lasota, Edward Sawiłow, Bogdan Trawiński, et al.
Lecture notes in computer science (2015), pp. 472-483
Closed Access | Times Cited: 8
An Approach to Property Valuation Based on Market Segmentation with Crisp and Fuzzy Clustering
Adrian Malinowski, Mateusz Piwowarczyk, Zbigniew Telec, et al.
Lecture notes in computer science (2018), pp. 534-548
Closed Access | Times Cited: 8
Empirical Comparison of Bagging Ensembles Created Using Weak Learners for a Regression Problem
Karol Bańczyk, Olgierd Kempa, Tadeusz Lasota, et al.
Lecture notes in computer science (2011), pp. 312-322
Closed Access | Times Cited: 7
Enhancing Intelligent Property Valuation Models by Merging Similar Cadastral Regions of a Municipality
Tadeusz Lasota, Edward Sawiłow, Zbigniew Telec, et al.
Lecture notes in computer science (2015), pp. 566-577
Closed Access | Times Cited: 6
Empirical Comparison of Resampling Methods Using Genetic Neural Networks for a Regression Problem
Tadeusz Lasota, Zbigniew Telec, Grzegorz Trawiński, et al.
Lecture notes in computer science (2011), pp. 213-220
Closed Access | Times Cited: 6
Application of Mixture of Experts to Construct Real Estate Appraisal Models
Magdalena Graczyk, Tadeusz Lasota, Zbigniew Telec, et al.
Lecture notes in computer science (2010), pp. 581-589
Closed Access | Times Cited: 5
Comparative Analysis of Ensembles Created Using Diversity Measures of Regressors
Mateusz Piwowarczyk, Patient Zihishire Muke, Zbigniew Telec, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2020), pp. 2207-2214
Closed Access | Times Cited: 5
Comparison of Ensemble Approaches: Mixture of Experts and AdaBoost for a Regression Problem
Tadeusz Lasota, Bartosz Londzin, Zbigniew Telec, et al.
Lecture notes in computer science (2014), pp. 100-109
Closed Access | Times Cited: 4
A Multi-Agent System to Assist with Property Valuation Using Heterogeneous Ensembles of Fuzzy Models
Magdalena Graczyk, Tadeusz Lasota, Zbigniew Telec, et al.
Lecture notes in computer science (2010), pp. 420-429
Closed Access | Times Cited: 3
An Attempt to Use Self-Adapting Genetic Algorithms to Optimize Fuzzy Systems for Predicting from a Data Stream
Tadeusz Lasota, Magdalena Smętek, Bogdan Trawiński, et al.
Advances in intelligent systems and computing (2014), pp. 81-90
Closed Access | Times Cited: 2
Machine Learning Models for Real Estate Appraisal Constructed Using Spline Trend Functions
Mateusz Jarosz, Marcin Kutrzyński, Tadeusz Lasota, et al.
Lecture notes in computer science (2020), pp. 636-648
Closed Access | Times Cited: 1
A Method for Building Heterogeneous Ensembles of Regression Models Based on a Genetic Algorithm
Bartosz Kardas, Mateusz Piwowarczyk, Zbigniew Telec, et al.
Lecture notes in computer science (2020), pp. 357-372
Closed Access | Times Cited: 1
Application of Self-adapting Genetic Algorithms to Generate Fuzzy Systems for a Regression Problem
Tadeusz Lasota, Magdalena Smętek, Zbigniew Telec, et al.
Lecture notes in computer science (2014), pp. 49-61
Closed Access
Application of Evolving Fuzzy Systems to Construct Real Estate Prediction Models
Martin Grześlowski, Zbigniew Telec, Bogdan Trawiński, et al.
Lecture notes in computer science (2015), pp. 606-616
Closed Access
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