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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:

Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection
Joaquín Derrac, Chris Cornelis, Salvador García, et al.
Information Sciences (2011) Vol. 186, Iss. 1, pp. 73-92
Closed Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Feature selection in machine learning: A new perspective
Jie Cai, Jiawei Luo, Shulin Wang, et al.
Neurocomputing (2018) Vol. 300, pp. 70-79
Closed Access | Times Cited: 1686
A Historical Account of Types of Fuzzy Sets and Their Relationships
Humberto Bustince, Edurne Barrenechea, Miguel Pagola, et al.
IEEE Transactions on Fuzzy Systems (2015) Vol. 24, Iss. 1, pp. 179-194
Open Access | Times Cited: 433
MRPR: A MapReduce solution for prototype reduction in big data classification
Isaac Triguero, Daniel Peralta, Jaume Bacardit, et al.
Neurocomputing (2014) Vol. 150, pp. 331-345
Open Access | Times Cited: 220
Feature selection for classification with Spearman’s rank correlation coefficient-based self-information in divergence-based fuzzy rough sets
Jiefang Jiang, Xianyong Zhang, Zhong Yuan
Expert Systems with Applications (2024) Vol. 249, pp. 123633-123633
Closed Access | Times Cited: 25
A random forest classifier for lymph diseases
Ahmad Taher Azar, Hanaa Ismail Elshazly, Aboul Ella Hassanien, et al.
Computer Methods and Programs in Biomedicine (2013) Vol. 113, Iss. 2, pp. 465-473
Closed Access | Times Cited: 199
Approximations and uncertainty measures in incomplete information systems
Jianhua Dai, Qing Xu
Information Sciences (2012) Vol. 198, pp. 62-80
Closed Access | Times Cited: 138
Entropy measures and granularity measures for set-valued information systems
Jianhua Dai, Haowei Tian
Information Sciences (2013) Vol. 240, pp. 72-82
Closed Access | Times Cited: 125
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects
Joaquín Derrac, Salvador García, Francisco Herrera
Information Sciences (2013) Vol. 260, pp. 98-119
Closed Access | Times Cited: 119
Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation
Antonio‐Javier Gallego, Jorge Calvo-Zaragoza, Jose J. Valero-Mas, et al.
Pattern Recognition (2017) Vol. 74, pp. 531-543
Open Access | Times Cited: 105
Efficient k-nearest neighbor search based on clustering and adaptive k values
Antonio‐Javier Gallego, Juan Ramón Rico-Juan, Jose J. Valero-Mas
Pattern Recognition (2021) Vol. 122, pp. 108356-108356
Open Access | Times Cited: 55
Fine-Tuning Fuzzy KNN Classifier Based on Uncertainty Membership for the Medical Diagnosis of Diabetes
Hanaa Salem, Mahmoud Y. Shams, Omar M. Elzeki, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 950-950
Open Access | Times Cited: 42
Feature subset selection by gravitational search algorithm optimization
Xiaohong Han, Xiaoming Chang, Long Quan, et al.
Information Sciences (2014) Vol. 281, pp. 128-146
Closed Access | Times Cited: 81
Uncertainty measurement for incomplete interval-valued information systems based on α-weak similarity
Jianhua Dai, Bingjie Wei, Xiaohong Zhang, et al.
Knowledge-Based Systems (2017) Vol. 136, pp. 159-171
Closed Access | Times Cited: 76
Uncertainty measurement for interval-valued information systems
Jianhua Dai, Wentao Wang, Ju‐Sheng Mi
Information Sciences (2013) Vol. 251, pp. 63-78
Closed Access | Times Cited: 75
Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets
Joaquín Derrac, Francisco Chiclana, Salvador García, et al.
Information Sciences (2015) Vol. 329, pp. 144-163
Closed Access | Times Cited: 74
A fuzzy rough set-based feature selection method using representative instances
Xiao Zhang, Changlin Mei, Degang Chen, et al.
Knowledge-Based Systems (2018) Vol. 151, pp. 216-229
Closed Access | Times Cited: 66
K-nearest neighbors rule combining prototype selection and local feature weighting for classification
Xin Zhang, Hongshan Xiao, Ruize Gao, et al.
Knowledge-Based Systems (2022) Vol. 243, pp. 108451-108451
Closed Access | Times Cited: 30
A novel intuitionistic fuzzy rough instance selection and attribute reduction with kernelized intuitionistic fuzzy C-means clustering to handle imbalanced datasets
Anoop Kumar Tiwari, Abhigyan Nath, Rakesh Kumar Pandey, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124087-124087
Closed Access | Times Cited: 6
METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems
María José Gacto, Marta Galende, Rafael Alcalá, et al.
Information Sciences (2014) Vol. 276, pp. 63-79
Closed Access | Times Cited: 66
Hybridising harmony search with a Markov blanket for gene selection problems
Salam Salameh Shreem, Salwani Abdullah, Mohd Zakree Ahmad Nazri
Information Sciences (2013) Vol. 258, pp. 108-121
Closed Access | Times Cited: 63
A novel and better fitness evaluation for rough set based minimum attribute reduction problem
Dongyi Ye, Zhaojiong Chen, Shenglan Ma
Information Sciences (2012) Vol. 222, pp. 413-423
Closed Access | Times Cited: 62
Improving kNN multi-label classification in Prototype Selection scenarios using class proposals
Jorge Calvo-Zaragoza, Jose J. Valero-Mas, Juan Ramón Rico-Juan
Pattern Recognition (2014) Vol. 48, Iss. 5, pp. 1608-1622
Closed Access | Times Cited: 61
Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey
Sarah Vluymans, Lynn D’eer, Yvan Saeys, et al.
Fundamenta Informaticae (2015) Vol. 142, Iss. 1-4, pp. 53-86
Closed Access | Times Cited: 50
Instance and Feature Selection Using Fuzzy Rough Sets: A Bi-Selection Approach for Data Reduction
Xiao Zhang, Changlin Mei, Jinhai Li, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 6, pp. 1981-1994
Closed Access | Times Cited: 24
Rough sets in the Soft Computing environment
Rafael Bello, José Luís Verdegay
Information Sciences (2012) Vol. 212, pp. 1-14
Closed Access | Times Cited: 57
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