Follow
Cagatay Catal
Cagatay Catal
Professor in Computer Science
Verified email at qu.edu.qa - Homepage
Title
Cited by
Cited by
Year
Crop Yield Prediction using Machine Learning: A Systematic Literature Review
CC Thomas van Klompenburg, Ayalew Kassahun
Computers and Electronics in Agriculture 177, 2020
10822020
A systematic review of software fault prediction studies
C Catal, B Diri
Expert systems with applications 36 (4), 7346-7354, 2009
7272009
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
4372019
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
4332009
Software fault prediction: A literature review and current trends
C Catal
Expert systems with applications 38 (4), 4626-4636, 2011
4302011
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
2952015
A sentiment classification model based on multiple classifiers
C Catal, M Nangir
Applied Soft Computing 50, 135-141, 2017
2762017
Systematic reviews in sentiment analysis: a tertiary study
A Ligthart, C Catal, B Tekinerdogan
Artificial intelligence review, 1-57, 2021
2412021
Automation of systematic literature reviews: A systematic literature review
R Van Dinter, B Tekinerdogan, C Catal
Information and Software Technology 136, 106589, 2021
2412021
Test case prioritization: a systematic mapping study
C Catal, D Mishra
Software Quality Journal 21, 445-478, 2013
2272013
Machine learning applications in production lines: A systematic literature review
Z Kang, C Catal, B Tekinerdogan
Computers & Industrial Engineering 149, 106773, 2020
2142020
Predictive maintenance using digital twins: A systematic literature review
R van Dinter, B Tekinerdogan, C Catal
Information and Software Technology 151, 107008, 2022
1902022
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
185*2020
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
1462021
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
1362011
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
1242009
Precision nutrition: A systematic literature review
D Kirk, C Catal, B Tekinerdogan
Computers in Biology and Medicine 133, 104365, 2021
1152021
Performance evaluation metrics for software fault prediction studies
C Catal
Acta Polytechnica Hungarica 9 (4), 193-206, 2012
1112012
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
1042018
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
982019
The system can't perform the operation now. Try again later.
Articles 1–20