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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:

An interpretable classification rule mining algorithm
Alberto Cano, Amelia Zafra, Sebastián Ventura
Information Sciences (2013) Vol. 240, pp. 1-20
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Explainable artificial intelligence: A survey
Filip Karlo Došilović, Mario Brčić, Nikica Hlupić
(2018), pp. 0210-0215
Closed Access | Times Cited: 865
Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory
Wanli Xing, Rui Guo, Eva Petakovic, et al.
Computers in Human Behavior (2014) Vol. 47, pp. 168-181
Closed Access | Times Cited: 273
Early dropout prediction using data mining: a case study with high school students
Carlos Márquez‐Vera, Alberto Cano, Cristóbal Romero, et al.
Expert Systems (2015) Vol. 33, Iss. 1, pp. 107-124
Closed Access | Times Cited: 271
Explainable Artificial Intelligence Applications in NLP, Biomedical, and Malware Classification: A Literature Review
Sherin Mary Mathews
Advances in intelligent systems and computing (2019), pp. 1269-1292
Closed Access | Times Cited: 128
Classification of Explainable Artificial Intelligence Methods through Their Output Formats
Giulia Vilone, Luca Longo
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 3, pp. 615-661
Open Access | Times Cited: 98
Machine Learning in Precision Agriculture: A Survey on Trends, Applications and Evaluations Over Two Decades
Sarah Condran, Michael Bewong, Md Zahidul Islam, et al.
IEEE Access (2022) Vol. 10, pp. 73786-73803
Open Access | Times Cited: 59
A survey on graphic processing unit computing for large‐scale data mining
Alberto Cano
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 80
A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers
Filip Rudziński
Applied Soft Computing (2015) Vol. 38, pp. 118-133
Closed Access | Times Cited: 71
Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations
Alberto Cano, John D. Leonard
IEEE Transactions on Learning Technologies (2019) Vol. 12, Iss. 2, pp. 198-211
Closed Access | Times Cited: 71
On cognitive preferences and the plausibility of rule-based models
Johannes Fürnkranz, Tomáš Kliegr, Heiko Paulheim
Machine Learning (2019) Vol. 109, Iss. 4, pp. 853-898
Open Access | Times Cited: 65
Data Mining and Machine Learning Retention Models in Higher Education
Tatiana Cardona, Elizabeth A. Cudney, Roger W. Hoerl, et al.
Journal of College Student Retention Research Theory & Practice (2020) Vol. 25, Iss. 1, pp. 51-75
Closed Access | Times Cited: 53
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone, Luca Longo
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 51
Designing rule-based fuzzy systems for classification in medicine
Marco Pota, Massimo Esposito, Giuseppe De Pietro
Knowledge-Based Systems (2017) Vol. 124, pp. 105-132
Closed Access | Times Cited: 54
Sampling scheme-based classification rule mining method using decision tree in big data environment
Chenxia Jin, Fachao Li, Shijie Ma, et al.
Knowledge-Based Systems (2022) Vol. 244, pp. 108522-108522
Closed Access | Times Cited: 26
Predictive Modelling of Student Dropout Using Ensemble Classifier Method in Higher Education
Nindhia Hutagaol, Suharjito Suharjito
Advances in Science Technology and Engineering Systems Journal (2019) Vol. 4, Iss. 4, pp. 206-211
Open Access | Times Cited: 33
Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers
Bin Qin, Yusuke Nojima, Hisao Ishibuchi, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 11, pp. 3441-3455
Closed Access | Times Cited: 31
LoRMIkA: Local rule-based model interpretability with k-optimal associations
Dilini Rajapaksha, Christoph Bergmeir, Wray Buntine
Information Sciences (2020) Vol. 540, pp. 221-241
Open Access | Times Cited: 29
An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming
Giorgia Nadizar, Luigi Rovito, Andrea De Lorenzo, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 4, Iss. 1, pp. 1-30
Closed Access | Times Cited: 3
Biologically Plausible Fuzzy-Knowledge-Out and Its Induced Wide Learning of Interpretable TSK Fuzzy Classifiers
Bin Qin, Fu-Lai Chung, Shitong Wang
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 7, pp. 1276-1290
Closed Access | Times Cited: 26
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems
Yashesh Dhebar, Kalyanmoy Deb
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 11, pp. 5573-5584
Open Access | Times Cited: 26
Mining Sequential Learning Trajectories With Hidden Markov Models For Early Prediction of At-Risk Students in E-Learning Environments
Anika Gupta, Deepak Garg, Parteek Kumar
IEEE Transactions on Learning Technologies (2022) Vol. 15, Iss. 6, pp. 783-797
Closed Access | Times Cited: 14
REMAP: Using Rule Mining and Multi-objective Search for Dynamic Test Case Prioritization
Dipesh Pradhan, Shuai Wang, Shaukat Ali, et al.
(2018), pp. 46-57
Closed Access | Times Cited: 25
Learning a Formula of Interpretability to Learn Interpretable Formulas
Marco Virgolin, Andrea De Lorenzo, Eric Medvet, et al.
Lecture notes in computer science (2020), pp. 79-93
Closed Access | Times Cited: 20
Parametric interpretability of growth kinetics equations in a process model for the life cycle of Lobesia botrana
Estefanía Aguirre-Zapata, Hernán Álvarez, Carla Vanina Dagatti, et al.
Ecological Modelling (2023) Vol. 482, pp. 110407-110407
Closed Access | Times Cited: 6
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation
Márcio P. Basgalupp, Rodrigo C. Barros, André C. P. L. F. de Carvalho, et al.
Information Sciences (2013) Vol. 258, pp. 160-181
Closed Access | Times Cited: 22
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