Cagatay Catal

ORCID

Publication Activity (10 Years)

Years Active: 2007-2025
Publications (10 Years): 80

Top Venues

Sensors

Appl. Soft Comput.

Comput. Electron. Agric.

Neural Comput. Appl.

Publications

Rasha Ahmad Husein, Hala Aburajouh, Cagatay Catal
Large language models for code completion: A systematic literature review. Comput. Stand. Interfaces 92 (2025)
Anila Sebastian, Hira Naseem, Cagatay Catal
Unsupervised Machine Learning Approaches for Test Suite Reduction. Appl. Artif. Intell. 38 (1) (2024)
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) (2024)
Ahmet Vedat Tokmak, Akhan Akbulut, Cagatay Catal
Boosting the visibility of services in microservice architecture. Clust. Comput. 27 (3) (2024)
Ahmet Vedat Tokmak, Akhan Akbulut, Cagatay Catal
Web service discovery: Rationale, challenges, and solution directions. Comput. Stand. Interfaces 88 (2024)
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) (2024)
Begum Ay Ture, Akhan Akbulut, Abdul Halim Zaim, Cagatay Catal
Stacking-based ensemble learning for remaining useful life estimation. Soft Comput. 28 (2) (2024)
Ahmet Kasif, Selcuk Sevgen, Alper Ozcan, Cagatay Catal
Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation. Multim. Tools Appl. 83 (10) (2024)
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) (2024)
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 (2024)
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) (2023)
Ahmet Metin, Ahmet Kasif, Cagatay Catal
Temporal fusion transformer-based prediction in aquaponics. J. Supercomput. 79 (17) (2023)
Karabo Jenga, Cagatay Catal, Gorkem Kar
Machine learning in crime prediction. J. Ambient Intell. Humaniz. Comput. 14 (3) (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
Ahmed Makhlouf, Marina Maayah, Nada Abughanam, Cagatay Catal
The use of generative adversarial networks in medical image augmentation. Neural Comput. Appl. 35 (34) (2023)
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) (2023)
Emran Altamimi, Abdullah Elkawakjy, Cagatay Catal
Metamorphic relation automation: Rationale, challenges, and solution directions. J. Softw. Evol. Process. 35 (1) (2023)
Alper Ozcan, Cagatay Catal, Emrah Donmez, Behcet Senturk
A hybrid DNN-LSTM model for detecting phishing URLs. Neural Comput. Appl. 35 (7) (2023)
Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal
Reference architecture for digital twin-based predictive maintenance systems. Comput. Ind. Eng. 177 (2023)
Amr Abo-eleneen, Ahammed Palliyali, Cagatay Catal
The role of Reinforcement Learning in software testing. Inf. Softw. Technol. 164 (2023)
Hira Naseem, Cagatay Catal
Domain Specific Transformers-Based Prioritization of Re-admission for Patients in Healthcare. NLPIR (2023)
Mohammed Ahmad Abuhaliqa, Cagatay Catal, Qingzhi Liu
Securing the Internet of Things Network using a Hierarchical Hyperledger Fabric Model. MetaCom (2023)
Paul Mooijman, Cagatay Catal, Bedir Tekinerdogan, Arjen Lommen, Marco Blokland
The effects of data balancing approaches: A case study. Appl. Soft Comput. 132 (2023)
Elif Yildirim, Fatma Patlar Akbulut, Cagatay Catal
Analysis of facial emotion expression in eating occasions using deep learning. Multim. Tools Appl. 82 (20) (2023)
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) (2022)
Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal
Predictive maintenance using digital twins: A systematic literature review. Inf. Softw. Technol. 151 (2022)
Manzura Jorayeva, Akhan Akbulut, Cagatay Catal, Alok Mishra
Deep Learning-Based Defect Prediction for Mobile Applications. Sensors 22 (13) (2022)
Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan
Product failure detection for production lines using a data-driven model. Expert Syst. Appl. 202 (2022)
Cagatay Catal, Görkem Giray, Bedir Tekinerdogan
Applications of deep learning for mobile malware detection: A systematic literature review. Neural Comput. Appl. 34 (2) (2022)
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) (2022)
Busra Kocacinar, Bilal Tas, Fatma Patlar Akbulut, Cagatay Catal, Deepti Mishra
A Real-Time CNN-Based Lightweight Mobile Masked Face Recognition System. IEEE Access 10 (2022)
Senem Sancar Gozukara, Bedir Tekinerdogan, Cagatay Catal
Obstacles of On-Premise Enterprise Resource Planning Systems and Solution Directions. J. Comput. Inf. Syst. 62 (1) (2022)
Alexandros Oikonomidis, Cagatay Catal, Ayalew Kassahun
Hybrid Deep Learning-based Models for Crop Yield Prediction. Appl. Artif. Intell. 36 (1) (2022)
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 (2022)
Ahmed Alkhateeb, Cagatay Catal, Gorkem Kar, Alok Mishra
Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review. Sensors 22 (4) (2022)
Daniel Kirk, Cagatay Catal, Bedir Tekinerdogan
Predicting Plasma Vitamin C Using Machine Learning. Appl. Artif. Intell. 36 (1) (2022)
Manzura Jorayeva, Akhan Akbulut, Cagatay Catal, Alok Mishra
Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review. Sensors 22 (7) (2022)
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 (2022)
Cengiz Togay, Ahmet Kasif, Cagatay Catal, Bedir Tekinerdogan
A Firewall Policy Anomaly Detection Framework for Reliable Network Security. IEEE Trans. Reliab. 71 (1) (2022)
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 (2022)
Adeel Ehsan, Cagatay Catal, Alok Mishra
Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review. Sensors 22 (20) (2022)
Alexander Ligthart, Cagatay Catal, Bedir Tekinerdogan
Analyzing the effectiveness of semi-supervised learning approaches for opinion spam classification. Appl. Soft Comput. 101 (2021)
Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan
Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks. Sensors 21 (3) (2021)
Raymon van Dinter, Cagatay Catal, Bedir Tekinerdogan
A Multi-Channel Convolutional Neural Network approach to automate the citation screening process. Appl. Soft Comput. 112 (2021)
Joep Tummers, Hilde Tobi, Cagatay Catal, Bedir Tekinerdogan
Designing a reference architecture for health information systems. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Raymon van Dinter, Cagatay Catal, Bedir Tekinerdogan
A decision support system for automating document retrieval and citation screening. Expert Syst. Appl. 182 (2021)
Maarten van Geest, Bedir Tekinerdogan, Cagatay Catal
Design of a reference architecture for developing smart warehouses in industry 4.0. Comput. Ind. 124 (2021)
Thabet Kacem, Aydin Kaya, Ali Seydi Keceli, Cagatay Catal, Duminda Wijesekera, Paulo Costa
ADS-B Attack Classification using Machine Learning Techniques. IV Workshops (2021)
Alexander Ligthart, Cagatay Catal, Bedir Tekinerdogan
Systematic reviews in sentiment analysis: a tertiary study. Artif. Intell. Rev. 54 (7) (2021)
Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal
Automation of systematic literature reviews: A systematic literature review. Inf. Softw. Technol. 136 (2021)
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 (2021)
Alper Ozcan, Cagatay Catal, Ahmet Kasif
Energy Load Forecasting Using a Dual-Stage Attention-Based Recurrent Neural Network. Sensors 21 (21) (2021)
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)
Daniel Kirk, Cagatay Catal, Bedir Tekinerdogan
Precision nutrition: A systematic literature review. Comput. Biol. Medicine 133 (2021)
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 (2020)
Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer
Closing the Gap Between Software Engineering Education and Industrial Needs. IEEE Softw. 37 (2) (2020)
Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan
Machine learning applications in production lines: A systematic literature review. Comput. Ind. Eng. 149 (2020)
Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan
Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model. Sensors 20 (11) (2020)
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) (2020)
Thomas van Klompenburg, Ayalew Kassahun, Cagatay Catal
Crop yield prediction using machine learning: A systematic literature review. Comput. Electron. Agric. 177 (2020)
Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer
Aligning software engineering education with industrial needs: A meta-analysis. J. Syst. Softw. 156 (2019)
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)
Akhan Akbulut, Cagatay Catal, Emre Karadeniz, Emre Turgut
Native Code Generation as a Service. Int. J. Softw. Eng. Knowl. Eng. 29 (2) (2019)
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 (2019)
Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer
Closing the gap between software engineering education and industrial needs. CoRR (2018)
Akhan Akbulut, Cagatay Catal, Burak Yildiz
On the effectiveness of virtual reality in the education of software engineering. Comput. Appl. Eng. Educ. 26 (4) (2018)
Garvit Rajesh Choudhary, Sandeep Kumar, Kuldeep Kumar, Alok Mishra, Cagatay Catal
Empirical analysis of change metrics for software fault prediction. Comput. Electr. Eng. 67 (2018)
Cagatay Catal, Akhan Akbulut
Automatic energy expenditure measurement for health science. Comput. Methods Programs Biomed. 157 (2018)
Cagatay Catal, Mehmet Nangir
A sentiment classification model based on multiple classifiers. Appl. Soft Comput. 50 (2017)
Cagatay Catal, Suat Guldan
Product review management software based on multiple classifiers. IET Softw. 11 (3) (2017)
Akhan Akbulut, Cagatay Catal, Fatma Patlar Akbulut
A cloud-based recommendation service using principle component analysis-scale-invariant feature transform algorithm. Neural Comput. Appl. 28 (10) (2017)
Cagatay Catal, Serkan Tugul, Basar Akpinar
Automatic Software Categorization Using Ensemble Methods and Bytecode Analysis. Int. J. Softw. Eng. Knowl. Eng. 27 (7) (2017)
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) (2017)
Cagatay Catal, Akhan Akbulut, Ecem Ekenoglu, Meltem Alemdaroglu
Development of a Software Vulnerability Prediction Web Service Based on Artificial Neural Networks. PAKDD (Workshops) (2017)
Cagatay Catal, Coskun Bayrak, Ali Bou Nassif, Kemal Polat, Akhan Akbulut
Special Issue: Soft computing in software engineering. Appl. Soft Comput. 49 (2016)
Zeeshan Anwar, Ali Ahsan, Cagatay Catal
Neuro-Fuzzy Modeling for Multi-Objective Test Suite Optimization. J. Intell. Syst. 25 (2) (2016)
Akhan Akbulut, Cagatay Catal, Ece Demiray, Okan Ozen
Xamarin Test Bulutu uzerinde Mobil Uygulama Testi. UYMS (2016)
Cagatay Catal, Selin Tufekci, Elif Pirmit, Guner Kocabag
On the use of ensemble of classifiers for accelerometer-based activity recognition. Appl. Soft Comput. 37 (2015)
Cagatay Catal
A Comparison of Semi-Supervised Classification Approaches for Software Defect Prediction. J. Intell. Syst. 23 (1) (2014)
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) (2013)
Cagatay Catal, Muratcan Atalay
A Systematic Mapping Study on Architectural Analysis. ITNG (2013)
Cagatay Catal, Deepti Mishra
Test case prioritization: a systematic mapping study. Softw. Qual. J. 21 (3) (2013)
Cagatay Catal
The Ten Best Practices for Test Case Prioritization. ICIST (2012)
Cagatay Catal
Software mining and fault prediction. WIREs Data Mining Knowl. Discov. 2 (5) (2012)
Cagatay Catal, Mehmet S. Aktas
A Composite Project Effort Estimation Approach in an Enterprise Software Development Project. SEKE (2011)
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) (2011)
Cagatay Catal, Oral Alan, Kerime Balkan
Class noise detection based on software metrics and ROC curves. Inf. Sci. 181 (21) (2011)
Cagatay Catal
Software fault prediction: A literature review and current trends. Expert Syst. Appl. 38 (4) (2011)
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) (2011)
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) (2009)
Cagatay Catal
Barriers to the adoption of software product line engineering. ACM SIGSOFT Softw. Eng. Notes 34 (6) (2009)
Oral Alan, Cagatay Catal
An outlier detection algorithm based on object-oriented metrics thresholds. ISCIS (2009)
Cagatay Catal, Banu Diri
A systematic review of software fault prediction studies. Expert Syst. Appl. 36 (4) (2009)
Cagatay Catal, Ugur Sevim, Banu Diri
Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules. ITNG (2009)
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) (2009)
Cagatay Catal, Banu Diri
A Conceptual Framework to Integrate Fault Prediction Sub-Process for Software Product Lines. TASE (2008)
Cagatay Catal, Banu Diri
A Fault Prediction Model with Limited Fault Data to Improve Test Process. PROFES (2008)

Cagatay Catal.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Cagatay Catal