Cagatay Catal
Cagatay Catal
Professor in Computer Science
Verified email at - Homepage
Cited by
Cited by
Crop Yield Prediction using Machine Learning: A Systematic Literature Review
CC Thomas van Klompenburg, Ayalew Kassahun
Computers and Electronics in Agriculture 177, 2020
A systematic review of software fault prediction studies
C Catal, B Diri
Expert systems with applications 36 (4), 7346-7354, 2009
Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem
C Catal, B Diri
Information Sciences 179 (8), 1040-1058, 2009
Software fault prediction: A literature review and current trends
C Catal
Expert systems with applications 38 (4), 4626-4636, 2011
Analysis of transfer learning for deep neural network based plant classification models
A Kaya, AS Keceli, C Catal, HY Yalic, H Temucin, B Tekinerdogan
Computers and electronics in agriculture 158, 20-29, 2019
On the use of ensemble of classifiers for accelerometer-based activity recognition
C Catal, S Tufekci, E Pirmit, G Kocabag
Applied Soft Computing 37, 1018-1022, 2015
A sentiment classification model based on multiple classifiers
C Catal, M Nangir
Applied Soft Computing 50, 135-141, 2017
Test case prioritization: a systematic mapping study
C Catal, D Mishra
Software Quality Journal 21, 445-478, 2013
Systematic reviews in sentiment analysis: a tertiary study
A Ligthart, C Catal, B Tekinerdogan
Artificial Intelligence Review, 1-57, 2021
Automation of systematic literature reviews: A systematic literature review
R Van Dinter, B Tekinerdogan, C Catal
Information and Software Technology 136, 106589, 2021
Machine learning applications in production lines: A systematic literature review
Z Kang, C Catal, B Tekinerdogan
Computers & Industrial Engineering 149, 106773, 2020
Closing the Gap Between Software Engineering Education and Industrial Needs
MF Vahid Garousi, Gorkem Giray, Eray Tuzun, Cagatay Catal
IEEE Software 37 (2), 68-77, 2020
Predictive maintenance using digital twins: A systematic literature review
R van Dinter, B Tekinerdogan, C Catal
Information and Software Technology 151, 107008, 2022
Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm
C Catal, U Sevim, B Diri
Expert Systems with Applications 38 (3), 2347-2353, 2011
Design of a reference architecture for developing smart warehouses in industry 4.0
M Van Geest, B Tekinerdogan, C Catal
Computers in industry 124, 103343, 2021
Clustering and metrics thresholds based software fault prediction of unlabeled program modules
C Catal, U Sevim, B Diri
2009 Sixth international conference on information technology: new …, 2009
Performance evaluation metrics for software fault prediction studies
C Catal
Acta Polytechnica Hungarica 9 (4), 193-206, 2012
Precision nutrition: A systematic literature review
D Kirk, C Catal, B Tekinerdogan
Computers in Biology and Medicine 133, 104365, 2021
Empirical analysis of change metrics for software fault prediction
GR Choudhary, S Kumar, K Kumar, A Mishra, C Catal
Computers & Electrical Engineering 67, 15-24, 2018
Aligning education for the life sciences domain to support digitalization and industry 4.0
C Catal, B Tekinerdogan
Procedia computer science 158, 99-106, 2019
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