OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Comparing two genetic overproduce-and-choose strategies for fuzzy rule-based multiclassification systems generated by bagging and mutual information-based feature selection
Óscar Cordón, Arnaud Quirin
International Journal of Hybrid Intelligent Systems (2010) Vol. 7, Iss. 1, pp. 45-64
Closed Access | Times Cited: 21

Showing 21 citing articles:

Comparison of Bagging, Boosting and Stacking Ensembles Applied to Real Estate Appraisal
Magdalena Graczyk, Tadeusz Lasota, Bogdan Trawiński, et al.
Lecture notes in computer science (2010), pp. 340-350
Closed Access | Times Cited: 117

A new machine learning ensemble model for class imbalance problem of screening enhanced oil recovery methods
Mohsen Pirizadeh, Nafiseh Alemohammad, Mohammad Manthouri, et al.
Journal of Petroleum Science and Engineering (2020) Vol. 198, pp. 108214-108214
Closed Access | Times Cited: 53

A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-Based Multiclassifiers
Krzysztof Trawiński, Óscar Cordón, Luciano Sánchez, et al.
IEEE Transactions on Fuzzy Systems (2013) Vol. 21, Iss. 5, pp. 950-965
Closed Access | Times Cited: 41

ON DESIGNING FUZZY RULE-BASED MULTICLASSIFICATION SYSTEMS BY COMBINING FURIA WITH BAGGING AND FEATURE SELECTION
Krzysztof Trawiński, Óscar Cordón, Arnaud Quirin
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2011) Vol. 19, Iss. 04, pp. 589-633
Closed Access | Times Cited: 30

A Study on the Use of Multiobjective Genetic Algorithms for Classifier Selection in FURIA-based Fuzzy Multiclassifiers
Krzysztof ski, Óscar Cordón, Arnaud Quirin
International Journal of Computational Intelligence Systems (2012) Vol. 5, Iss. 2, pp. 231-231
Open Access | Times Cited: 28

An efficient multi-objective evolutionary fuzzy system for regression problems
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
International Journal of Approximate Reasoning (2013) Vol. 54, Iss. 9, pp. 1434-1451
Open Access | Times Cited: 26

Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?
Krzysztof Trawiński, Óscar Cordón, Arnaud Quirin, et al.
Knowledge-Based Systems (2013) Vol. 54, pp. 3-21
Closed Access | Times Cited: 24

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

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

Fuzzy classification using the data envelopment analysis
Parag C. Pendharkar
Knowledge-Based Systems (2012) Vol. 31, pp. 183-192
Closed Access | Times Cited: 17

A hierarchical learning model for inferring the labels of points of interest with unbalanced data distribution
Wenhao Yu, Jiaxin Chen, Wei Cheng
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102751-102751
Open Access | Times Cited: 7

A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2011), pp. 1286-1293
Closed Access | Times Cited: 10

An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems
Ahmad Mozaffari, Alireza Fathi, Saeed Behzadipour
International Journal of Intelligent Computing and Cybernetics (2014) Vol. 7, Iss. 1, pp. 38-78
Closed Access | Times Cited: 8

A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion
Óscar Cordón, Krzysztof Trawiński
Lecture notes in computer science (2013), pp. 36-58
Closed Access | Times Cited: 7

On the Combination of Accuracy and Diversity Measures for Genetic Selection of Bagging Fuzzy Rule-Based Multiclassification Systems
Krzysztof Trawiński, Arnaud Quirin, Óscar Cordón
(2009), pp. 121-127
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

Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets
Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi
(2010), pp. 1-8
Closed Access | Times Cited: 6

Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases
Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben
International Journal of Hybrid Intelligent Systems (2013) Vol. 10, Iss. 2, pp. 43-55
Closed Access | Times Cited: 4

Bi-criteria Genetic Selection of Bagging Fuzzy Rule-based Multiclassification Systems
Krzysztof Trawiński, Arnaud Quirin, Óscar Cordón
European Society for Fuzzy Logic and Technology Conference (2009), pp. 1514-1519
Closed Access | Times Cited: 3

Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems
Luciano Sánchez, Óscar Cordón, Arnaud Quirin, et al.
(2010) Vol. 11, pp. 75-80
Closed Access | Times Cited: 2

Page 1

Scroll to top