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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:

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

Showing 1-25 of 28 citing articles:

Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies
Mikel Elkano, Mikel Galar, José Sanz, et al.
IEEE Transactions on Fuzzy Systems (2014) Vol. 23, Iss. 5, pp. 1562-1580
Open Access | Times Cited: 147
Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification
Michela Antonelli, Dario Bernardo, Hani Hagras, et al.
IEEE Transactions on Fuzzy Systems (2016) Vol. 25, Iss. 2, pp. 249-264
Open Access | Times Cited: 101
A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
Information Sciences (2014) Vol. 283, pp. 36-54
Closed Access | Times Cited: 62
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
Generating diverse and accurate classifier ensembles using multi-objective optimization
Shenkai Gu, Yaochu Jin
(2014), pp. 9-15
Closed Access | Times Cited: 35
Evolutionary fuzzification of RIPPER for regression: Case study of stock prediction
Shahrokh Asadi
Neurocomputing (2018) Vol. 331, pp. 121-137
Closed Access | Times Cited: 28
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
Development of an evolutionary fuzzy expert system for estimating future behavior of stock price
Farhad Mehmanpazir, Shahrokh Asadi
Journal of industrial engineering international (2016) Vol. 13, Iss. 1, pp. 29-46
Open Access | Times Cited: 25
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
Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification
Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh, et al.
International Journal of Fuzzy Systems (2018) Vol. 20, Iss. 6, pp. 1938-1955
Closed Access | Times Cited: 17
moGrams: A Network-Based Methodology for Visualizing the Set of Nondominated Solutions in Multiobjective Optimization
Krzysztof Trawiński, Manuel Chica, David P. Pancho, et al.
IEEE Transactions on Cybernetics (2017) Vol. 48, Iss. 2, pp. 474-485
Open Access | Times Cited: 12
Transactions on Fuzzy Systems
Chin-Chin Lin
Soft Computing (2014) Vol. 21, Iss. 2, pp. 17-17
Closed Access | Times Cited: 10
Static Classifier Selection with Interval Weights of Base Classifiers
Robert Burduk, Krzysztof Walkowiak
Lecture notes in computer science (2015), pp. 494-502
Closed Access | Times Cited: 9
Explainable Internet Traffic Classification
Christian Callegari, Pietro Ducange, Michela Fazzolari, et al.
Applied Sciences (2021) Vol. 11, Iss. 10, pp. 4697-4697
Open Access | Times Cited: 9
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
INDUCING FUZZY REGRESSION TREE FORESTS USING ARTIFICIAL IMMUNE SYSTEMS
Fathi Gasir, Keeley Crockett, Zuhair Bandar
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2012) Vol. 20, Iss. supp02, pp. 133-157
Closed Access | Times Cited: 6
Study on Fuzzy Classifier Based on Genetic Algorithm Optimization
Qian Gao, Naibao He
Lecture notes in electrical engineering (2016), pp. 725-731
Closed Access | Times Cited: 4
Ensemble Selection Based on Discriminant Functions in Binary Classification Task
Paulina Baczyńska, Robert Burduk
Lecture notes in computer science (2015), pp. 61-68
Closed Access | Times Cited: 3
The Krypteia ensemble: Designing classifier ensembles using an ancient Spartan military tradition
Javier Fumanal-Idocin, Óscar Cordón, Humberto Bustince
Information Fusion (2022) Vol. 90, pp. 283-297
Open Access | Times Cited: 3
moGrams: a network-based methodology for visualizing the set of non-dominated solutions in multiobjective optimization
Krzysztof Trawiński, Manuel Chica, David P. Pancho, et al.
arXiv (Cornell University) (2015)
Closed Access | Times Cited: 2
Robustness threshold methodology for multicriteria based ranking using imprecise data
Bastien Rizzon, Sylvie Galichet, Vincent Clivillé
(2014), pp. 1-8
Closed Access | Times Cited: 1
Two stage ensemble selection algorithm
Paulina Baczyńska, Robert Burduk
Applied Computer Science (2015) Vol. 9, Iss. 1, pp. 3-8
Closed Access | Times Cited: 1
A network-based approach for diversity visualization of fuzzy classifier ensembles
Krzysztof Trawiński, Óscar Cordón
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2016), pp. 923-930
Closed Access | Times Cited: 1
Method of Static Classifiers Selection Using the Weights of Base Classifiers
Robert Burduk
Advances in intelligent systems and computing (2015), pp. 85-94
Closed Access | Times Cited: 1
Adopting Relational Reinforcement Learning in Covering Algorithms for Numeric and Noisy Environments
Hebah ElGibreen, Mehmet Sabih Aksoy
International Journal of Computational Intelligence Systems (2016) Vol. 9, Iss. 3, pp. 572-572
Open Access
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