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2020 – today
- 2025
[j91]Rasha Ahmad Husein, Hala Aburajouh, Cagatay Catal
:
Large language models for code completion: A systematic literature review. Comput. Stand. Interfaces 92: 103917 (2025)- [j90]Fida Zubair, Maryam Al-Hitmi, Cagatay Catal:
The use of large language models for program repair. Comput. Stand. Interfaces 93: 103951 (2025) - 2024
- [j89]Anila Sebastian, Hira Naseem, Cagatay Catal:
Unsupervised Machine Learning Approaches for Test Suite Reduction. Appl. Artif. Intell. 38(1) (2024) - [j88]Rahim Sadigov, Elif Yildirim, Büsra Kocaçinar, Fatma Patlar Akbulut, Cagatay Catal:
Deep learning-based user experience evaluation in distance learning. Clust. Comput. 27(1): 443-455 (2024) - [j87]Alper Ozcan, Ahmet Kasif, Ismail Veli Sezgin, Cagatay Catal, Muhammad Sanwal, Hasan Merdun:
Deep learning-based modelling of pyrolysis. Clust. Comput. 27(1): 1089-1108 (2024) - [j86]Ahmet Vedat Tokmak, Akhan Akbulut, Cagatay Catal:
Boosting the visibility of services in microservice architecture. Clust. Comput. 27(3): 3099-3111 (2024) - [j85]Havva Gülay Gürbüz, Bedir Tekinerdogan, Cagatay Catal, Nagehan Pala Er:
Test suite assessment of safety-critical systems using safety tactics and fault-based mutation testing. Clust. Comput. 27(4): 5377-5401 (2024) - [j84]Çigdem Avci Salma, Bedir Tekinerdogan, Cagatay Catal:
Design tactics for tailoring transformer architectures to cybersecurity challenges. Clust. Comput. 27(7): 9587-9613 (2024) - [j83]Ahmet Vedat Tokmak, Akhan Akbulut, Cagatay Catal:
Web service discovery: Rationale, challenges, and solution directions. Comput. Stand. Interfaces 88: 103794 (2024) - [j82]Ngakan Nyoman Kutha Krisnawijaya, Bedir Tekinerdogan, Cagatay Catal, Rik van der Tol:
Reference architecture design for developing data management systems in smart farming. Ecol. Informatics 81: 102613 (2024) - [j81]Ahmet Kasif, Selcuk Sevgen, Alper Ozcan, Cagatay Catal:
Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation. Multim. Tools Appl. 83(10): 30297-30317 (2024) - [j80]Akhan Akbulut, Sara Desouki, Sara AbdelKhaliq, Layal Khantomani, Cagatay Catal:
Design and implementation of a deep learning-empowered m-Health application. Multim. Tools Appl. 83(12): 35995-36011 (2024) - [j79]Begum Ay Ture, Akhan Akbulut, Abdul Halim Zaim, Cagatay Catal:
Stacking-based ensemble learning for remaining useful life estimation. Soft Comput. 28(2): 1337-1349 (2024) - [j78]Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng:
Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 153:1-153:18 (2024) - 2023
- [j77]Paul Mooijman, Cagatay Catal, Bedir Tekinerdogan, Arjen Lommen, Marco Blokland:
The effects of data balancing approaches: A case study. Appl. Soft Comput. 132: 109853 (2023) - [j76]Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal:
Reference architecture for digital twin-based predictive maintenance systems. Comput. Ind. Eng. 177: 109099 (2023) - [j75]Ngakan Nyoman Kutha Krisnawijaya, Bedir Tekinerdogan, Cagatay Catal, Rik van der Tol:
Multi-Criteria decision analysis approach for selecting feasible data analytics platforms for precision farming. Comput. Electron. Agric. 209: 107869 (2023) - [j74]Çigdem Avci Salma, Bedir Tekinerdogan, Cagatay Catal:
Analyzing the performance of long short-term memory architectures for malware detection models. Concurr. Comput. Pract. Exp. 35(6): 1 (2023) - [j73]Cagatay Catal, Alper Ozcan, Emrah Donmez, Ahmet Kasif:
Analysis of cyber security knowledge gaps based on cyber security body of knowledge. Educ. Inf. Technol. 28(2): 1809-1831 (2023) - [j72]Cagatay Catal, Alper Ozcan, Emrah Donmez, Ahmet Kasif:
Correction to: Analysis of cyber security knowledge gaps based on cyber security body of knowledge. Educ. Inf. Technol. 28(2): 2405 (2023) - [j71]Sjoerd Boeschoten, Cagatay Catal, Bedir Tekinerdogan, Arjen Lommen, Marco Blokland:
The automation of the development of classification models and improvement of model quality using feature engineering techniques. Expert Syst. Appl. 213(Part): 118912 (2023) - [j70]Amr Abo-eleneen, Ahammed Palliyali, Cagatay Catal:
The role of Reinforcement Learning in software testing. Inf. Softw. Technol. 164: 107325 (2023) - [j69]Karabo Jenga, Cagatay Catal, Gorkem Kar:
Machine learning in crime prediction. J. Ambient Intell. Humaniz. Comput. 14(3): 2887-2913 (2023) - [j68]Elif Yildirim, Fatma Patlar Akbulut, Cagatay Catal:
Analysis of facial emotion expression in eating occasions using deep learning. Multim. Tools Appl. 82(20): 31659-31671 (2023) - [j67]Alper Ozcan, Cagatay Catal, Emrah Donmez, Behcet Senturk:
A hybrid DNN-LSTM model for detecting phishing URLs. Neural Comput. Appl. 35(7): 4957-4973 (2023) - [j66]Ahmed Makhlouf, Marina Maayah, Nada Abughanam, Cagatay Catal:
The use of generative adversarial networks in medical image augmentation. Neural Comput. Appl. 35(34): 24055-24068 (2023) - [j65]Emran Altamimi, Abdullah Elkawakjy, Cagatay Catal:
Metamorphic relation automation: Rationale, challenges, and solution directions. J. Softw. Evol. Process. 35(1) (2023) - [j64]Raymon van Dinter, Cagatay Catal, Görkem Giray, Bedir Tekinerdogan:
Just-in-time defect prediction for mobile applications: using shallow or deep learning? Softw. Qual. J. 31(4): 1281-1302 (2023) - [j63]Ahmet Metin, Ahmet Kasif, Cagatay Catal:
Temporal fusion transformer-based prediction in aquaponics. J. Supercomput. 79(17): 19934-19958 (2023) - [c16]Mohammed Ahmad Abuhaliqa, Cagatay Catal, Qingzhi Liu:
Securing the Internet of Things Network using a Hierarchical Hyperledger Fabric Model. MetaCom 2023: 775-779 - [c15]Hira Naseem, Cagatay Catal:
Domain Specific Transformers-Based Prioritization of Re-admission for Patients in Healthcare. NLPIR 2023: 51-56 - [d2]Raymon van Dinter, Görkem Ekmekci, Gerdtinus Netten, Sander Rieken, Bedir Tekinerdogan, Cagatay Catal:
A code repository for predictive maintenance on cable joints. Zenodo, 2023
- 2022
- [j62]Daniel Kirk, Cagatay Catal, Bedir Tekinerdogan:
Predicting Plasma Vitamin C Using Machine Learning. Appl. Artif. Intell. 36(1) (2022) - [j61]Alexandros Oikonomidis, Cagatay Catal, Ayalew Kassahun:
Hybrid Deep Learning-based Models for Crop Yield Prediction. Appl. Artif. Intell. 36(1) (2022) - [j60]Büsra Kocaçinar, Bilal Tas, Fatma Patlar Akbulut, Cagatay Catal, Deepti Mishra:
A Real-Time CNN-Based Lightweight Mobile Masked Face Recognition System. IEEE Access 10: 63496-63507 (2022) - [j59]Akhan Akbulut, Feray Gungor, Ela Tarakci, Muhammed Ali Aydin, Abdul Halim Zaim, Cagatay Catal:
Identification of phantom movements with an ensemble learning approach. Comput. Biol. Medicine 150: 106132 (2022) - [j58]Ngakan Nyoman Kutha Krisnawijaya, Bedir Tekinerdogan, Cagatay Catal, Rik van der Tol:
Data analytics platforms for agricultural systems: A systematic literature review. Comput. Electron. Agric. 195: 106813 (2022) - [j57]Ali Seydi Keçeli, Aydin Kaya, Cagatay Catal, Bedir Tekinerdogan:
Deep learning-based multi-task prediction system for plant disease and species detection. Ecol. Informatics 69: 101679 (2022) - [j56]Gülsüm Ece Eksi, Bedir Tekinerdogan, Cagatay Catal:
Software security management in critical infrastructures: a systematic literature review. Turkish J. Electr. Eng. Comput. Sci. 30(4): 1142-1161 (2022) - [j55]Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan:
Product failure detection for production lines using a data-driven model. Expert Syst. Appl. 202: 117398 (2022) - [j54]Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal:
Predictive maintenance using digital twins: A systematic literature review. Inf. Softw. Technol. 151: 107008 (2022) - [j53]Senem Sancar Gozukara, Bedir Tekinerdogan, Cagatay Catal:
Obstacles of On-Premise Enterprise Resource Planning Systems and Solution Directions. J. Comput. Inf. Syst. 62(1): 141-152 (2022) - [j52]Cagatay Catal, Görkem Giray, Bedir Tekinerdogan, Sandeep Kumar, Suyash Shukla:
Applications of deep learning for phishing detection: a systematic literature review. Knowl. Inf. Syst. 64(6): 1457-1500 (2022) - [j51]Cagatay Catal, Görkem Giray, Bedir Tekinerdogan:
Applications of deep learning for mobile malware detection: A systematic literature review. Neural Comput. Appl. 34(2): 1007-1032 (2022) - [j50]Ahmed Alkhateeb, Cagatay Catal, Gorkem Kar, Alok Mishra:
Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review. Sensors 22(4): 1304 (2022) - [j49]Manzura Jorayeva, Akhan Akbulut, Cagatay Catal, Alok Mishra:
Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review. Sensors 22(7): 2551 (2022) - [j48]Manzura Jorayeva, Akhan Akbulut, Cagatay Catal, Alok Mishra:
Deep Learning-Based Defect Prediction for Mobile Applications. Sensors 22(13): 4734 (2022) - [j47]Adeel Ehsan, Cagatay Catal, Alok Mishra:
Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review. Sensors 22(20): 7928 (2022) - [j46]Cengiz Togay, Ahmet Kasif, Cagatay Catal, Bedir Tekinerdogan:
A Firewall Policy Anomaly Detection Framework for Reliable Network Security. IEEE Trans. Reliab. 71(1): 339-347 (2022) - 2021
- [j45]Alexander Ligthart, Cagatay Catal, Bedir Tekinerdogan:
Systematic reviews in sentiment analysis: a tertiary study. Artif. Intell. Rev. 54(7): 4997-5053 (2021) - [j44]Alexander Ligthart, Cagatay Catal, Bedir Tekinerdogan:
Analyzing the effectiveness of semi-supervised learning approaches for opinion spam classification. Appl. Soft Comput. 101: 107023 (2021) - [j43]Raymon van Dinter, Cagatay Catal, Bedir Tekinerdogan:
A Multi-Channel Convolutional Neural Network approach to automate the citation screening process. Appl. Soft Comput. 112: 107765 (2021) - [j42]Daniel Kirk, Cagatay Catal, Bedir Tekinerdogan:
Precision nutrition: A systematic literature review. Comput. Biol. Medicine 133: 104365 (2021) - [j41]Joep Tummers, Bedir Tekinerdogan, Hilde Tobi, Cagatay Catal, Bianca Schalk:
Obstacles and features of health information systems: A systematic literature review. Comput. Biol. Medicine 137: 104785 (2021) - [j40]Maarten van Geest, Bedir Tekinerdogan, Cagatay Catal:
Design of a reference architecture for developing smart warehouses in industry 4.0. Comput. Ind. 124: 103343 (2021) - [j39]Koen van der Schaaf, Bedir Tekinerdogan, Cagatay Catal:
A feature-based approach for guiding the selection of Internet of Things cybersecurity standards using text mining. Concurr. Comput. Pract. Exp. 33(21) (2021) - [j38]Raymon van Dinter, Cagatay Catal, Bedir Tekinerdogan:
A decision support system for automating document retrieval and citation screening. Expert Syst. Appl. 182: 115261 (2021) - [j37]Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal:
Automation of systematic literature reviews: A systematic literature review. Inf. Softw. Technol. 136: 106589 (2021) - [j36]Joep Tummers, Hilde Tobi, Cagatay Catal, Bedir Tekinerdogan:
Designing a reference architecture for health information systems. BMC Medical Informatics Decis. Mak. 21(1): 210 (2021) - [j35]Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan:
Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks. Sensors 21(3): 932 (2021) - [j34]Alper Ozcan, Cagatay Catal, Ahmet Kasif:
Energy Load Forecasting Using a Dual-Stage Attention-Based Recurrent Neural Network. Sensors 21(21): 7115 (2021) - [c14]Thabet Kacem, Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Duminda Wijesekera, Paulo Costa:
ADS-B Attack Classification using Machine Learning Techniques. IV Workshops 2021: 7-12 - 2020
- [j33]Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan:
Machine learning applications in production lines: A systematic literature review. Comput. Ind. Eng. 149: 106773 (2020) - [j32]Ali Seydi Keçeli, Cagatay Catal, Aydin Kaya, Bedir Tekinerdogan:
Development of a recurrent neural networks-based calving prediction model using activity and behavioral data. Comput. Electron. Agric. 170: 105285 (2020) - [j31]Thomas van Klompenburg, Ayalew Kassahun, Cagatay Catal:
Crop yield prediction using machine learning: A systematic literature review. Comput. Electron. Agric. 177: 105709 (2020) - [j30]Alper Özcan, Çagatay Çatal, Cengiz Togay, Bedir Tekinerdogan, Emrah Dönmez:
Assessment of environmental factors affecting software reliability: a survey study. Turkish J. Electr. Eng. Comput. Sci. 28(4): 1841-1858 (2020) - [j29]Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan:
Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model. Sensors 20(11): 3173 (2020) - [j28]Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer:
Closing the Gap Between Software Engineering Education and Industrial Needs. IEEE Softw. 37(2): 68-77 (2020) - [j27]Cagatay Catal, Akhan Akbulut, Berkay Tunali, Erol Ulug, Eren Ozturk:
Evaluation of augmented reality technology for the design of an evacuation training game. Virtual Real. 24(3): 359-368 (2020)
2010 – 2019
- 2019
- [j26]Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Hamdi Yalin Yalic, Hüseyin Temuçin, Bedir Tekinerdogan:
Analysis of transfer learning for deep neural network based plant classification models. Comput. Electron. Agric. 158: 20-29 (2019) - [j25]Akhan Akbulut, Cagatay Catal, Emre Karadeniz, Emre Turgut:
Native Code Generation as a Service. Int. J. Softw. Eng. Knowl. Eng. 29(2): 263-284 (2019) - [j24]Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer:
Aligning software engineering education with industrial needs: A meta-analysis. J. Syst. Softw. 156: 65-83 (2019) - [j23]Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan:
The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models. J. Softw. Evol. Process. 31(9) (2019) - [d1]Desirée Groeneveld, Vahid Garousi, Bedir Tekinerdogan, Cagatay Catal:
Supplementary materials for paper: A domain-specific language for precision agriculture. Zenodo, 2019 - 2018
- [j22]Akhan Akbulut, Cagatay Catal, Burak Yildiz:
On the effectiveness of virtual reality in the education of software engineering. Comput. Appl. Eng. Educ. 26(4): 918-927 (2018) - [j21]Garvit Rajesh Choudhary, Sandeep Kumar, Kuldeep Kumar, Alok Mishra, Cagatay Catal:
Empirical analysis of change metrics for software fault prediction. Comput. Electr. Eng. 67: 15-24 (2018) - [j20]Cagatay Catal, Akhan Akbulut:
Automatic energy expenditure measurement for health science. Comput. Methods Programs Biomed. 157: 31-37 (2018) - [i1]Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer:
Closing the gap between software engineering education and industrial needs. CoRR abs/1812.01954 (2018) - 2017
- [j19]Cagatay Catal, Mehmet Nangir:
A sentiment classification model based on multiple classifiers. Appl. Soft Comput. 50: 135-141 (2017) - [j18]Cagatay Catal, Suat Guldan:
Product review management software based on multiple classifiers. IET Softw. 11(3): 89-92 (2017) - [j17]Cagatay Catal, Serkan Tugul, Basar Akpinar:
Automatic Software Categorization Using Ensemble Methods and Bytecode Analysis. Int. J. Softw. Eng. Knowl. Eng. 27(7): 1129- (2017) - [j16]Cagatay Catal, Min Song, Can Muratli, Erin Hea-Jin Kim, Mestan Ali Tosuner, Yusuf Kayikci:
Cross-Cultural Personality Prediction based on Twitter Data. J. Softw. 12(11): 882-891 (2017) - [c13]Cagatay Catal, Akhan Akbulut, Ecem Ekenoglu, Meltem Alemdaroglu:
Development of a Software Vulnerability Prediction Web Service Based on Artificial Neural Networks. PAKDD (Workshops) 2017: 59-67 - 2016
- [j15]Cagatay Catal, Coskun Bayrak, Ali Bou Nassif, Kemal Polat, Akhan Akbulut:
Special Issue: Soft computing in software engineering. Appl. Soft Comput. 49: 953-955 (2016) - [j14]Zeeshan Anwar, Ali Ahsan, Cagatay Catal:
Neuro-Fuzzy Modeling for Multi-Objective Test Suite Optimization. J. Intell. Syst. 25(2): 123-146 (2016) - [c12]Akhan Akbulut, Cagatay Catal, Ece Demiray, Okan Ozen:
Xamarin Test Bulutu uzerinde Mobil Uygulama Testi. UYMS 2016: 251-259 - 2015
- [j13]Cagatay Catal, Selin Tufekci, Elif Pirmit, Guner Kocabag:
On the use of ensemble of classifiers for accelerometer-based activity recognition. Appl. Soft Comput. 37: 1018-1022 (2015) - 2014
- [j12]Cagatay Catal:
A Comparison of Semi-Supervised Classification Approaches for Software Defect Prediction. J. Intell. Syst. 23(1): 75-82 (2014) - [c11]Çagatay Çatal, Emre SerbetçIoglu, Hasan Alper:
KOAH Hastalarinda Tele Pulmoner Rehabilitasyon için Kinect Temelli Ev Egzersiz Yazılımı. UYMS 2014 - [c10]Gözde Karatas, Çagatay Çatal:
Yalın Yazılım Geliştirme: Sistematik Eşleme Çalışması. UYMS 2014 - 2013
- [j11]Cagatay Catal:
Teaching evidence-based software engineering to master students: a single lecture within a course or an entire semester-long course? ACM SIGSOFT Softw. Eng. Notes 38(2): 1-2 (2013) - [j10]Cagatay Catal, Deepti Mishra:
Test case prioritization: a systematic mapping study. Softw. Qual. J. 21(3): 445-478 (2013) - [c9]Cagatay Catal, Muratcan Atalay:
A Systematic Mapping Study on Architectural Analysis. ITNG 2013: 661-664 - 2012
- [j9]Cagatay Catal:
Software mining and fault prediction. WIREs Data Mining Knowl. Discov. 2(5): 420-426 (2012) - [c8]Cagatay Catal:
The Ten Best Practices for Test Case Prioritization. ICIST 2012: 452-459 - 2011
- [j8]Cagatay Catal, Ugur Sevim, Banu Diri:
Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm. Expert Syst. Appl. 38(3): 2347-2353 (2011) - [j7]Oral Alan, Cagatay Catal:
Thresholds based outlier detection approach for mining class outliers: An empirical case study on software measurement datasets. Expert Syst. Appl. 38(4): 3440-3445 (2011) - [j6]Cagatay Catal:
Software fault prediction: A literature review and current trends. Expert Syst. Appl. 38(4): 4626-4636 (2011) - [j5]Cagatay Catal, Oral Alan, Kerime Balkan:
Class noise detection based on software metrics and ROC curves. Inf. Sci. 181(21): 4867-4877 (2011) - [c7]Cagatay Catal, Mehmet S. Aktas:
A Composite Project Effort Estimation Approach in an Enterprise Software Development Project. SEKE 2011: 331-334
2000 – 2009
- 2009
- [j4]Cagatay Catal, Banu Diri:
Unlabelled extra data do not always mean extra performance for semi-supervised fault prediction. Expert Syst. J. Knowl. Eng. 26(5): 458-471 (2009) - [j3]Cagatay Catal, Banu Diri:
A systematic review of software fault prediction studies. Expert Syst. Appl. 36(4): 7346-7354 (2009) - [j2]Cagatay Catal, Banu Diri:
Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem. Inf. Sci. 179(8): 1040-1058 (2009) - [j1]Cagatay Catal:
Barriers to the adoption of software product line engineering. ACM SIGSOFT Softw. Eng. Notes 34(6): 1-4 (2009) - [c6]Oral Alan, Cagatay Catal:
An outlier detection algorithm based on object-oriented metrics thresholds. ISCIS 2009: 567-570 - [c5]Cagatay Catal, Ugur Sevim, Banu Diri:
Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules. ITNG 2009: 199-204 - 2008
- [b1]Çagatay Çatal:
Yazılım kusur kestirimi probleminde yapay bağışıklık sistemlerinin uygulanması (Application of artificial immune systems in software fault prediction problem). Yıldız Technical University, Turkey, 2008 - [c4]Cagatay Catal, Banu Diri:
A Fault Prediction Model with Limited Fault Data to Improve Test Process. PROFES 2008: 244-257 - [c3]Cagatay Catal, Banu Diri:
A Conceptual Framework to Integrate Fault Prediction Sub-Process for Software Product Lines. TASE 2008: 99-106 - 2007
- [c2]Cagatay Catal, Banu Diri, Bulent Ozumut:
An Artificial Immune System Approach for Fault Prediction in Object-Oriented Software. DepCoS-RELCOMEX 2007: 238-245 - [c1]Cagatay Catal, Banu Diri:
Software Fault Prediction with Object-Oriented Metrics Based Artificial Immune Recognition System. PROFES 2007: 300-314
Coauthor Index
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