Publications

📚 Publications

International Journal Papers (Indexed in SCI, SCI-Expanded, or SSCI)

• Durak, H. Y., Egin, F., & Onan, A. (2026). Enhancing Text Summarization with AI: A Multi-Agent System and Human Comparison in Educational Contexts. Thinking Skills and Creativity, 101944.
• Çelikten, T., & Onan, A. (2025). Benchmarking Large Language Models for Biomedical Literature Summarization: Abstractive vs. Extractive Paradigms. IEEE Access.
• Onan, A., & Alhumyani, H. (2025). CodeDiffuSe: A Masked Diffusion Framework for Structure-Aware Code Completion and Repair. Journal of King Saud University- Computer and Information Sciences.
• Çelikten, T., & Onan, A. (2025). MedConGTM: Interpretable Multi-Label Clinical Code Prediction with Dual-View Graph Contrastive Topic Modeling. Knowledge-Based Systems.
• Ergün, A.E., & Onan, A. (2025). A2CEM: A Contrastive Embedding Framework for Adversarial Robustness in Large Language Models. Knowledge-Based Systems.
• Çelikten, T., & Onan, A. (2025). Exploring Text Similarity in Human and AI-Generated Scientific Abstracts: A Comprehensive Analysis. IEEE Access.
• Ergün, A.E., & Onan, A. (2025). Adversarial Prompt Detection in Large Language Models: A Classification-Driven Approach. CMC- Computers, Materials & Continua.
• Uslu, N.A., & Onan, A. (2025). Exploring Students’ Emotions Toward Programming: Analysing Sentiments Using Concurrent Conversion Mixed Methods. Education and Information Technologies.
• Nasution, A.H., Onan, A., Murakami, Y., Winda, M., & Angghi, H. (2025). Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets. IEEE Access.
• Çelikten, T., & Onan, A. (2025). Topic Modeling through Rank-Based Aggregation and LLMs: An Approach for AI and Human-Generated Scientific Texts. Knowledge-Based Systems.
• Yildiz-Durak, H., Egin, F., & Onan, A. (2025). A comparison of human-written versus AI-generated text in discussions at educational settings: Investigating features for ChatGPT, Gemini and BingAI. European Journal of Education, 60(1).
• Egin, F., Onan, A., & Yildiz-Durak, H. (2025). Let’s Talk about EdTech! A Topic modeling analysis of AI Tools and Preservice Teachers’ Perspectives. European Journal of Education, 60(1).
• Çelikten, A., Bulut, H., & Onan, A. (2025). Biyomedikal literatürden solunum yolu hastalıkları ve semptom ilişkilerinin çıkarılması için semantik benzerlik temelli bir yaklaşım. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 40(1), 121-134.
• Çaylı, Ö., Kılıç, V., Onan, A., & Wang, W. (2024). Multi-layer Gated Recurrent Unit based Recurrent Neural Network for Image Captioning. International Journal of Pattern Recognition and Artificial Intelligence.
• Onan, A., & Alhumyani, H. (2024). Knowledge-Enhanced Transformer Graph Summarization (KETGS): Integrating Entity and Discourse Relations for Advanced Extractive Text Summarization. Mathematics, 12(23), 3638.
• Çelikten, T., & Onan, A. (2024). HybridGAD: Identification of AI-Generated Radiology Abstracts Based on a Novel Hybrid Model with Attention Mechanism. CMC-Computers, Materials & Continua, 80(2), 3351-3377.
• Bulut, V., Onan, A., & Şenyayla, B. (2024). Obtaining The Optimal Shortest Path Between Two Points on a Quasi-Developable Bézier-Type Surface Using The Geodesic-Based Q-Learning Algorithm. Engineering Applications of Artificial Intelligence, 136, 108821.
• Yildiz-Durak, H., & Onan, A. (2024). Predicting the use of chatbot systems in education: a comparative approach using PLS-SEM and machine learning algorithms. Current Psychology, 1-19.
• Onan, A., & Alhumyani, H. A. (2024). DeepExtract: Semantic-driven extractive text summarization framework using LLMs and hierarchical positional encoding. Journal of King Saud University-Computer and Information Sciences, 36(8), 102178.
• Onan, A., & Alhumyani, H. (2024). FuzzyTP-BERT: Enhancing Extractive Text Summarization with Fuzzy Topic Modeling and Transformer Networks. Journal of King Saud University- Computer and Information Sciences, 36(6), 102080.
• Onan, A., & Alhumyani, H. (2024). Contextual Hypergraph Networks for Enhanced Extractive Summarization: Introducing the Multi-element Contextual Hypergraph Extractive Summarizer (MCHES), Applied Sciences, 14(11), 4671.
• Nasution, A.H., & Onan, A. (2024). ChatGPT Label: Comparing the Quality of Human-Generated and LLM-Generated Annotations in Low-resource Language NLP Tasks. IEEE Access, 12, 71876–71900.
• Onan, A., & Balbal, K. (2024). Improving Turkish text sentiment classification through task-specific and universal transformations: an ensemble data augmentation approach. IEEE Access, 12, 4413-4458.
• Onan, A. (2023). GTR-GA: Harnessing The Power of Graph-Based Neural Networks and Genetic Algorithms for Text Augmentation. Expert Systems with Applications, 232, 1-20.
• Onan, A. (2023). SRL-ACO: A Text Augmentation Framework Based on Semantic Role Labeling and Ant Colony Optimization. Journal of King Saud University- Computer and Information Sciences, 35(7), 1-18.
• Ağralı, M., Kılıç, V., Onan, A., Koç, E.M., Koç, A.M., Büyüktoka, R., Acar, T., & Adıbelli, Z. (2023). DeepChestNet: Artificial intelligence approach for COVID-19 detection on computed tomography images. International Journal of Imaging Systems and Technology, 33(3), 776-788.
• Onan, A. (2023). Hierarchical Graph-based Text Classification Framework with Contextual Node Embedding and BERT-based Dynamic Fusion. Journal of King Saud University- Computer and Information Science, 35(7), 1-18.
• Onan, A. (2022). Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification. Journal of King Saud University-Computer and Information Sciences, 34(5), 2098-2117.
• Habek, G., Toçoğlu, M.A., & Onan, A. (2022). Bi-Directional CNN-RNN Architecture with Group-Wise Enhancement and Attention Mechanisms for Cryptocurrency Sentiment Analysis. Applied Artificial Intelligence, 36(1), 1-26.
• Onan, A., & Toçoğlu, M.A. (2021) A Term-weighted neural language model and stacked bidirectional LSTM based framework for sarcasm identification, IEEE Access, 9, 7701-7722.
• Onan, A. (2021). Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks, Concurrency and Computation- Practice and Experience, 33(23).
• Onan, A., & Toçoğlu, M. A. (2021). Weighted word embeddings and clustering based identification of question topics in MOOC discussion forum posts, Computer Applications in Engineering Education, 29(4), 675-689.
• Onan, A. (2021). Sentiment analysis on massive open online course evaluations: a text mining and deep learning approach, Computer Applications in Engineering Education, 29(3), 572-589.
• Bulut, H., Onan, A., & Korukoğlu, S. (2020). An improved ant-based algorithm based on heaps merging and fuzzy c-means for clustering cancer gene expression data, Sādhanā, 45(1), 1-17.
• Onan, A., & Toçoğlu MA. (2020). Satire identification in Turkish news articles based on ensemble of classifiers, Turkish Journal of Electrical Engineering & Computer Sciences, 28, 1086-1106.
• Onan, A. (2020). Mining opinions from instructor evaluation reviews: a deep learning approach, Computer Applications in Engineering Education, 28(1), 117-138.
• Onan, A. (2019). Two-stage topic extraction model for bibliometric data analysis based on word embeddings and clustering, IEEE Access, 7(1), 145614-145633.
• Onan, A. (2019). Consensus clustering based approach to imbalanced learning, Scientific Programming, 2019, 1-14.
• Onan, A. (2018). Biomedical text categorization based on ensemble pruning and optimized topic modelling. Computational and Mathematical Methods in Medicine, 2018, 1-22.
• Onan, A. (2018). An ensemble scheme based on language function analysis and feature engineering for text genre classification. Journal of Information Science, 44(1), 28-47.
• Onan, A., Korukoğlu, S., & Bulut, H. (2017). A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification. Information Processing & Management, 53(4), 814-833.
• Onan, A., Bulut, H., & Korukoglu, S. (2017). An improved ant algorithm with LDA-based representation for text document clustering. Journal of Information Science, 43(2), 275-292.
• Onan, A. (2017). Hybrid supervised clustering-based ensemble scheme for text classification. Kybernetes, 46(2), 330-348.
• Onan, A., & Korukoğlu, S. (2017). A feature selection model based on genetic rank aggregation for text sentiment classification. Journal of Information Science, 43(1), 25-38.
• Onan, A. (2016). Classifier and feature set ensembles for web page classification. Journal of Information Science, 42(2), 150-165.
• Onan, A., Korukoğlu, S., & Bulut, H. (2016). Ensemble of keyword extraction methods and classifiers in text classification. Expert Systems with Applications, 57, 232-247.
• Onan, A., Korukoğlu, S., & Bulut, H. (2016). A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification. Expert Systems with Applications, 62, 1-16.
• Onan, A., Bal, V., & Yanar Bayam, B. (2016). The Use of Data Mining for Strategic Management: A Case Study on Mining Association Rules in Student Information System. Croatian Journal of Education: Hrvatski časopis za odgoj i eğitim, 18(1), 41-70.
• Onan, A. (2015). A Stochastic Gradient Descent Based SVM with Fuzzy-Rough Feature Selection and Instance Selection for Breast Cancer Diagnosis. Journal of Medical Imaging and Health Informatics, 5(6), 1233-1239.
• Onan, A. (2015). A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer. Expert Systems with Applications, 42(20), 6844-6852.

International Journal Papers (Indexed in Emerging Sources Citation Index-ESCI)

• Yildiz-Durak, H., & Onan, A. (2025). A systematic review of AI-based feedback in educational settings. Journal of Computational Social Science.
• Nasution, A.H., Monika, W., Onan, A., & Murakami, Y. (2025). Benchmarking 21 Open-Source Large Language Models for Phishing Link Detection with Prompt Engineering, Information.
• Khalila, Z., Nasution, A. H., Monika, W., Onan, A., Murakami, Y., Radi, Y.B.I., & Osmani, N.M. (2025). Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language Models. International Journal of Advanced Computer Science and Applications (IJACSA), 16(2).

Other International Journal Papers

• Baghdadi, P., Korukoğlu, S., Bilici, M.A., Onan, A. (2025). The Potential of Energy-Based RBM and xLSTM for Real Time Predictive Analytics in Credit Card Fraud Detection. Journal of Data Analysis and Information Processing, 13(1).
• Onan, A. (2018). Sentiment analysis on Twitter based on ensemble of psychological and linguistic feature sets. Balkan Journal of Electrical and Computer Engineering, 6(2), 1-9.
• Onan, A., Korukoglu, S., & Bulut, H. (2016). LDA-based Topic Modelling in Text Sentiment Classification: An Empirical Analysis. Int. J. Comput. Linguistics Appl., 7(1), 101-119.

Book Chapters

• Egin, F., Onan, A., Yildiz-Durak, H. (2025). Evaluation of Large Language Models in Annotating Metaphorical Sentences. In Optimization and Data Science in Industrial Engineering: Second International Conference, ODSIE 2024, Istanbul, Turkey, November 7–8, 2024, Proceedings (p. 3). Springer Nature.
• Onan, A. (2024). Yapay zeka, büyük dil modelleri ve istem mühendisliği. Yapay Zeka Okuryazarlığı, Nobel.
• Onan, A. (2023). Leveraging synonyms and antonyms for data augmentation in sarcasm identification. Artificial Intelligence Application in Networks and Systems. Springer, Cham.
• Çelikten, A., Onan, A., & Bulut, H. (2023, May). Investigation of Biomedical Named Entity Recognition Methods. In 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering: ICAIAME 2022 (pp. 218-229). Cham: Springer International Publishing.
• Onan, A., Atik, E., & Yalçın, A. (2021). Machine learning approach for automatic categorization of service support requests on university information management system. In Intelligent and Fuzzy Techniques: Smart and Innovative Solutions (pp. 1133-1139). Springer, Cham.
• Toçoğlu, M.A., & Onan, A. (2021). Sentiment analysis on students’ evaluation of higher educational institutions. In Intelligent and Fuzzy Techniques: Smart and Innovative Solutions (pp. 1693-1700). Springer, Cham.
• Çaylı, Ö., Makav, B., Kılıç, V., & Onan, A. (2021). Mobile application based automatic systems. In Intelligent and Fuzzy Techniques: Smart and Innovative Solutions (pp. 1532-1539). Springer, Cham.
• Toçoğlu, M.A., & Onan, A. (2021). Identification of sport news in Turkish news using deep learning architectures. In Progress in Intelligent Decision Science (pp. 3-13). Springer, Cham.
• Onan, A. (2019). Deep learning based sentiment analysis on product reviews on Twitter. In Big Data Innovations and Applications (pp.80-91). Springer, Cham.
• Toçoğlu, M.A., & Onan, A. (2019). Satire detection in Turkish news articles: a machine learning approach. In Big Data Innovations and Applications (pp.107-117). Springer, Cham.
• Onan, A. (2019). Topic-enriched word embeddings for sarcasm identification. In Software Engineering Methods in Intelligent Algorithms (pp. 293-304). Springer, Cham.
• Onan, A. (2019). Semantic query suggestion based on optimized random forests. In Artificial Intelligence and Algorithms in Intelligent Systems (pp. 91-102). Springer, Cham.
• Onan, A. (2017). Sarcasm identification on Twitter: a machine learning approach. In Artificial Intelligence Trends in Intelligent Systems (pp. 374-383). Springer, Cham.
• Onan, A., & Korukoğlu, S. (2016). Exploring performance of instance selection methods in text sentiment classification. In Artificial Intelligence Perspectives in Intelligent Systems (pp. 167-179). Springer, Cham.
• Onan, A. (2015). On the performance of ensemble learning for automated diagnosis of breast cancer. In Artificial Intelligence Perspectives and Applications (pp. 119-129). Springer, Cham.
• Onan, A. (2015). Artificial immune system based web page classification. In Software engineering in intelligent systems (pp. 189-199). Springer, Cham.

National Refereed Journal Papers

• Şendur, S., Koyuncuoğlu, H.C., & Onan, A. (2025). Unveiling the Hidden Biases of AI: Exploring Professions and Gender Perception in Claude and Gemini Models, Turkish Journal of Science and Technology.
• Baştürk, B., & Onan, A. (2025). Machine Learning Based Identification of LLM Generated Scientific Research Article Abstracts, MAKÜ BBBF Scientific Journal of Mehmet Akif Ersoy University.
• Eğin, F., Onan, A., Uslu, N.A., Yılmaz, G., & Borandağ, E. (2025). Cultivating Career Interests and STEM Attitudes in High School Students: The Role of Smart Agriculture Applications, DEÜ Buca Eğitim Fakültesi, Fen, Matematik ve Bilgisayar Eğitiminde Yenilikler Dergisi.
• Çetin, P., & Onan, A. (2025). Büyük dil modellerinin Tıp Eğitiminde Soru Yanıtlama Sistemlerinde Kullanımı: Potansiyel, Zorluklar ve Gelecek Yönelimleri, DEÜ Buca Eğitim Fakültesi, Fen, Matematik ve Bilgisayar Eğitiminde Yenilikler Dergisi.
• Baştürk, B., & Onan, A. (2025). Kalp Hastalığı Makale Özetlerinde Gizli Temaları Keşfetme: Konu Modelleme Yaklaşımı, Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi.
• Habek, G.C., & Toçoğlu, M., & Onan, A. (2024). Konu Modelleme Yöntemleri ile Kripto Para Duygu Analizi, Avrupa Bilim ve Teknoloji Dergisi (54), 161-173.
• Uzun, S.D., Onan, A., & Bulut, V. (2024). Tuzlu Suda Metan Hidrat Oluşum Koşullarının Tahmini için Regresyon Algoritmalarının Karşılaştırmalı Analizi, Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 7(5): 2065-2083, 2024.
• Durak, H.Y., & Onan, A. (2023). Eğitimde Chatbot Kullanmaya ve Öğrenmeye Yönelik Davranışsal Niyet Ölçeğinin Türkçeye Uyarlanması. Journal of Ahmet Kelesoglu Education Faculty, 5(3), 1162-1172.
• Uslu, N.A., & Onan, A. (2023). Investigating Computational Identity and Empowerment of The Students Studying Programming: A Text Mining Study. NEÜ Ereği Eğitim Dergisi, 5(1), 29-45.
• Onan, A. (2022). Türkçe Metin Madenciliği için Dikkat Mekanizması Tabanlı Derin Öğrenme Mimarilerinin Değerlendirilmesi. Avrupa Bilim ve Teknoloji Dergisi, (34), 403-407.
• Onan, A. (2022). Türkçe Metin Madenciliği için Çalışan Bellek Bağlantıları Tabanlı Uzun Kısa Süreli Bellek Mimarisi. Avrupa Bilim ve Teknoloji Dergisi, (34), 239-246.
• Karga, K., Toçoğlu, M. A., & Onan, A. (2022). Deep Learning-Based Sentiment Analysis on Education During the COVID-19 Pandemic. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 24(72), 855-868.
• Özdemir, A., Onan, A., & ERGENE, V. Ç. (2022). Machine Learning and Ensemble Learning Based Method Using Online Employee Assessments to Identify and Analyze Job Satisfaction Factors. Avrupa Bilim ve Teknoloji Dergisi, (40), 19-28.
• Uslu, B., ÇAYLI, Ö., KILIÇ, V., & Onan, A. (2022). Resnet based Deep Gated Recurrent Unit for Image Captioning on Smartphone. Avrupa Bilim ve Teknoloji Dergisi, (35), 610-615.
• AYDIN, S., ÇAYLI, Ö., KILIÇ, V., & Onan, A. (2022). Sequence-to-Sequence Video Captioning with Residual Connected Gated Recurrent Units. Avrupa Bilim ve Teknoloji Dergisi, (35), 380-386.
• Onan, A. (2021). Haber metinlerinden sosyo-ekonomik ve epidemiyolojik konuların metin madenciliğine dayalı belirlenmesi. Avrupa Bilim ve Teknoloji Dergisi, 2021.
• Keskin, R., Çaylı, Ö., Moral, Ö.T., Kılıç, V., & Onan, A. (2021). A benchmark for feature-injection architectures in image captioning. Avrupa Bilim ve Teknoloji Dergisi, 31, 461-468.
• Fetiler, B., Çaylı, Ö., Moral, Ö.T., Kılıç, V., & Onan, A. (2021). Video captioning based on multi-layer gated recurrent unit for smartphones. Avrupa Bilim ve Teknoloji Dergisi, 31, 461-468.
• Onan, A. (2021). COVID-19 ile ilgili sosyal medya gönderilerinin metin madenciliği yöntemlerine dayalı olarak zaman-mekansal analizi. Avrupa Bilim ve Teknoloji Dergisi, 2021.
• Göçgün, Ö.F., & Onan, A. (2021). Amazon ürün değerlendirmeleri üzerinde derin öğrenme/makine öğrenmesi tabanlı duygu analizi yapılması. Avrupa Bilim ve Teknoloji Dergisi, 24, 445-448.
• Özdemir, A., Onan, A., & Ergene, V. (2021). İş Tatmini Faktörlerini Belirlemeye Ve Analiz Etmeye Yönelik Olarak Çalışanların Çevrimiçi Değerlendirmelerinin Sınıflandırıcı Topluluklarına Dayalı Analizi. Avrupa Bilim ve Teknoloji Dergisi, 28, 531-538.
• Özdemir, A., Onan, A., & Ergene, V. (2021). Çalışanların Çevrimiçi Değerlendirmelerinin İş Tatmini Faktörlerini Belirlemeye ve Analiz Etmeye Yönelik Olarak Makine Öğrenmesine Dayalı Analizi. Avrupa Bilim ve Teknoloji Dergisi, 28, 526-530.
• Onan, A. (2021). Ensemble of classifiers and term weighting schemes for sentiment analysis in Turkish. Scientific Research Communications, 1(1), 1-12.
• Onan, A. (2020). Evrişimli sinir ağı mimarilerine dayalı Türkçe duygu analizi. Avrupa Bilim ve Teknoloji Dergisi, 2020, 374-380.
• Onan, A., Yalçın, A., & Atik, E. (2020). Üniversite Bilgi Yönetim Sistemi Servis Destek Taleplerinin Konu Modelleme Tabanlı Analizi. Avrupa Bilim ve Teknoloji Dergisi, 2020, 352-359.
• Onan, A. (2018). A clustering based classifier ensemble approach to corporate bankruptcy prediction. Alphanumeric Journal, 6(2), 365-376.
• Onan, A. (2018). Parçacık sürüsü eniyilemesine dayalı yığılmış genelleme yöntemi ve metin sınıflandırma üzerinde uygulanması. Akademik Platform Mühendislik ve Fen Bilimleri Dergisi, 6(2), 131-141.
• Onan, A. (2018). Metin belgesi kümelemede metasezgisel yöntemlere dayalı kümeleme algoritmaları. Akıllı Sistemler ve Uygulamaları Dergisi, 1(2), 206-212.
• Okyay, M.S., Alaybeyoğlu, A., & Onan, A. (2018). Yapay zeka tabanlı akıllı muhasebe Android mobil uygulama tasarımı. Akıllı Sistemler ve Uygulamaları Dergisi, 1(1), 111-116.
• Onan, A., Alaybeyoğlu, A., & Okyay, M.S. (2018). A design and application of Android mobile based smart business accounting software. Sakarya University Journal of Computer and Information Sciences, 1(1), 22-35.
• Onan, A. (2017). Twitter mesajları üzerinde makine öğrenmesi yöntemlerine dayalı duygu analizi. Yönetim Bilişim Sistemleri Dergisi, 3(2), 1-14.
• Onan, A., & Korukoğlu, S. (2016). Makine öğrenmesi yöntemlerinin görüş madenciliğinde kullanılması üzerine bir literatür araştırması. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 22(2), 111-122.
• Onan, A. (2015). Şirket iflaslarının tahmin edilmesinde karar ağacı algoritmalarının karşılaştırmalı başarım analizi. Bilişim Teknolojileri Dergisi, 8(1), 9-19.
• Onan, A. (2014). Promethee Sıralama Yönteminin Konut Projelerinin Değerlendirilmesinde Kullanılması. AKÜ İİBF Dergisi, XVI(1), 17-28.
• Onan, A. (2013). Metasezgisel yöntemler ve uygulama alanları. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 17(2), 113-128.

International Conference Proceedings

• Toprak, A.G., & Onan, A. (2025). Benchmarking Intelligent Large Language Models for Biomedical Text Summarization: A Performance Evaluation. In International Conference on Intelligent and Fuzzy Systems (INFUS 2025).
• Aydoğmuş, B., Yüksel, S., Çelikten, T., Ergün, A.E., & Onan, A. (2025). Beyond Resumes: Multi-Dimensional Analysis Based Job and CV Matching. In International Conference on Intelligent and Fuzzy Systems (INFUS 2025).
• Erkan, E.E., Kömürcü, M.A., Çelikten, T., Ergün, A.E., & Onan, A. (2025). Understanding Large Language Model Performance in Question Answering: A Comparative Analysis of Semantic and Lexical Metrics. In International Conference on Intelligent and Fuzzy Systems (INFUS 2025).
• Çam, B., Kömürcü, M.A., Kaya, M., Ergün, A.E., Çelikten, T., & Onan, A. (2025). Computational Intelligence in Legal NLP: Evaluating Language Models on Turkish Legal Texts. In International Conference on Intelligent and Fuzzy Systems (INFUS 2025).
• Ceran, İ., Kaya, M., Kaçmaz, Y., Ergün, A.E., Çelikten, T., & Onan, A. (2025). A Deep Learning Approach to Sentiment Classification: Insights from Product Review Analysis. In International Conference on Intelligent and Fuzzy Systems (INFUS 2025).
• Efe, A.G., Çelikten, T., Ergün, A.E., & Onan, A. (2025). Predicting Machine Learning Model Performance from Dataset Characteristics. In International Conference on Intelligent and Fuzzy Systems (INFUS 2025).
• Oytaç, D., Ergün, A.E., Çelikten, T., & Onan, A. (2025). EmbedTurk: Leveraging Large Language Models as Text Encoders for Turkish Language. In International Conference on Intelligent and Fuzzy Systems (INFUS 2025).
• Kadıoğlu, M., & Onan, A. (2025). Üretim Endüstrisinde Kritik Hammadde Fiyatlarının Aylık Bazdaki Tahminlemesi İçin Yapay Zekâ Tabanlı Bir Sistem Geliştirilmesi. ICPIS 2025 2nd International Conference on Pioneer and Innovative Studies.
• Eğin, F., Onan, A., & Yildiz Durak, H. (2024). Mecaz Anlamlı Cümle Etiketlemede Büyük Dil Modellerinin Değerlendirilmesi. International Conference on Optimization and Data Science in Industrial Engineering (ODSIE 2024).
• Onan, A., & Celikten, T. (2024). Evaluating the Coherence and Diversity in AI-Generated and Paraphrased Scientific Abstracts: A Fuzzy Topic Modeling Approach. In International Conference on Intelligent and Fuzzy Systems (INFUS 2024).
• Dursun, E.D., & Onan, A. (2024). Benchmarking Retrieval Augmented Generation in Quantitative Finance. In International Conference on Intelligent and Fuzzy Systems (INFUS 2024).
• Erdogan, H., Turhan-Turan, N., & Onan, A. (2024). Comparative Analysis of Large Language Models in Source Code Analysis. In International Conference on Intelligent and Fuzzy Systems (INFUS 2024).
• Şahin, R.C., & Onan, A. (2024). Automating Weight-Based Classification of Turkish Salmon Using YOLOv8 and Deep Learning, 2nd International Conference on Trends in Advanced Research, November 22-23, 2024, Konya, Turkey (ICTAR 2024).
• Onan, A., & Alhumyani, H. (2024). Assessing the Impact of Prompt Strategies on Text Summarization with Large Language Models, In ISCA CAINE 2024- 37th International Conference on Computer Applications in Industry and Engineering, October 21 – 22, 2024
• Büyüker, Z., Onan, A., & Bombar, G. (2024). Makine öğrenmesi yöntemiyle köprü ayağı etrafındaki oyulmanın tahmin edilmesi. 8th International Students Science Congress (ISSC 2024).
• Sendur, S., Koyuncuoglu, H.C., & Onan, A. (2024). Dilin Önyargıları: GPT-4 ile Meslekler Üzerinden Cinsiyet Algılarının Keşfi. In 4th International Conference on Innovative Academic Studies.
• Kuzucu, O., & Onan, A. (2024). Applying Topic Modelling to Unveil Insights from Industrial Maintenance Records. In 3rd International Conference on Engineering, Natural and Social Sciences ICENSOS 2024.
• Öztürk, O., Özer-Kaya, D., & Onan, A. (2023). Comparing the accuracy of machine learning models for accelorometer-based movement measurements. ESMAC 2023.
• Bulut, V., Onan, A., & Şenyayla, B. (2023). Jeodezik-Tabanlı Dijkstra Algoritması Kullanılarak Açılabilir Yüzey Üzerinde İki Nokta Arasındaki Optimal En Kısa Yolun Elde Edilmesi. 1st International Conference on Recent and Innovative Results in Engineering and Technology ICRIRET 2023.
• Durak, H.Y., & Onan, A. (2023). Adaptation of Chatbot Confirmation and Usage Continuance Scale into Turkish. International Conference on Modern and Advanced Research, 77-80.
• Korkut, S.O., Onan, A., Ulker, E., & Yalçın, F. (2023). Optimal Parameter Selection of Latent Dirichlet Allocation to Determine the Emerging Topics in Hydrology Domain. Second International Conference on Computing, IoT and Data Analytics, ICCIDA 2023.
• Durak, H.Y., & Onan, A. (2023). An Examination of Studies on the Use of Chatbot Technology in the Field of Education. 5th International Conference on Applied Engineering and Natural Sciences, ICAENS 2023.
• Durak, H.Y., & Onan, A. (2023). Turkish Adaptation of the Chatbot System, Information and Service Quality Scale. 5th International Conference on Applied Engineering and Natural Sciences, ICAENS 2023.
• Ezgi, A., & Onan, A. (2023). Automatic Knee Osteoarthritis Severity Grading using Deep Neural Networks: Comparative Analysis of Network Architectures and Optimization Functions. 5th International Conference on Applied Engineering and Natural Sciences, ICAENS 2023.
• Göçgün, Ö.F., Yalçın, F., & Onan, A. (2023). Federe Öğrenme Algoritmaları ve Açık Kaynak Çerçeveler. 5th International Conference on Applied Engineering and Natural Sciences, ICAENS 2023.
• Habek, G.C., Toçoğlu, M.A., & Onan, A. (2023). Cryptocurrency Sentiment Analysis using Automatically Labeled Dataset. 3rd International Symposium of Scientific Research and Innovative Studies, ISSRIS 2023.
• Moral, O. T., Kılıç, V., Onan, A., & Wang, W. (2022). Automated Image Captioning with Multi-layer Gated Recurrent Unit. The 30th European Signal Processing Conference, EUSIPCO 2022.
• Caylı, O., Kılıç, V., Onan, A., & Wang, W. (2022). Auxiliary Classifier based Residual RNN for Image Captioning. The 30th European Signal Processing Conference, EUSIPCO 2022.
• Demirci-Uzun, S., Bulut, V., & Onan, A. (2022). Toxicity Identification Using The Neural Network Algorithm. 3rd International Conference on Applied Engineering and Natural Sciences (ICAENS 2022), 2022.
• Demirci-Uzun, S., Bulut, V., & Onan, A. (2022). Decision tree based toxicity identification of metal and metal oxide nanoparticles. Izmir International Conference on Technology and Social Sciences, IICTSS 2022.
• Demirci-Uzun, S., Bulut, V., & Onan, A. (2022). Prediction of toxicity based on linear regression, SVM and GPR machine learning algorithms. International Gobeklitepe Applied Sciences Congress 2022.
• Onan, A. (2021). Identification of Deceptive Opinion Spam Based on Deep Neural Networks. In IAC in Budapest 2021.
• Onan, A. (2021). Spatiotemporal Analysis of Social Media Posts on COVID-19 Based on Topic Modelling. In VIAC2021 - COVID-19.
• Onan, A. (2021). Topic modelling-based identification of socio-economic and epidemiological issues from news documents. In International Academic Conference on Engineering, Transport, IT and AI (IAC-ETITAI 2021).
• Onan, A. (2021). On the performance of classifiers and feature sets for identification of offensive and hateful language on social media. In International Academic Conference on Engineering, Transport, IT and AI (IAC-ETITAI 2021).
• Toçoğlu, M., & Onan, A. (2021). Identification of Medical Forum Posts on Hypertension and Cholesterol Based on Machine Learning. In First International Conference on Computing and Machine Intelligence (ICMI 2021).
• Onan, A. (2021). Haber metinlerinden sosyo-ekonomik ve epidemiyolojik konuların metin madenciliğine dayalı belirlenmesi. In 3rd International Conference on Human-Computer Interaction, Optimization and Robotic Applications (HORA 2021).
• Özdemir, A., Onan, A., & Ergene, V. (2021). İş Tatmini Faktörlerini Belirlemeye Ve Analiz Etmeye Yönelik Olarak Çalışanların Çevrimiçi Değerlendirmelerinin Sınıflandırıcı Topluluklarına Dayalı Analizi. In 1st International Conference on Applied Engineering and Natural Sciences (ICAENS 2021).
• Özdemir, A., Onan, A., & Ergene, V. (2021). Çalışanların Çevrimiçi Değerlendirmelerinin İş Tatmini Faktörlerini Belirlemeye ve Analiz Etmeye Yönelik Olarak Makine Öğrenmesine Dayalı Analizi. In 1st International Conference on Applied Engineering and Natural Sciences (ICAENS 2021).
• Onan, A. (2021). COVID-19 ile ilgili sosyal medya gönderilerinin metin madenciliği yöntemlerine dayalı olarak zaman-mekansal analizi. In 3rd International Conference on Human-Computer Interaction, Optimization and Robotic Applications (HORA 2021).
• Göçgün, Ö.F., & Onan, A. (2021). Amazon ürün değerlendirmeleri üzerinde derin öğrenme/makine öğrenmesi tabanlı duygu analizi yapılması. In 2nd International Conference on Access to Recent Advances in Engineering and Digitalization (ARACONF 2021).
• Onan, A., Atik, E., & Yalçın, A. (2020). Machine learning approach for automatic categorization of service support requests on university information management system. In 2nd International Conference on Intelligent and Fuzzy Systems (INFUS 2020).
• Çaylı, Ö., Makav, B., Kılıç, V., & Onan, A. (2020). Mobile application based automatic caption generation for visually impaired. In 2nd International Conference on Intelligent and Fuzzy Systems (INFUS 2020).
• Toçoğlu, M.A., & Onan, A. (2020). Sentiment analysis on students’ evaluation of higher educational institutions. In 2nd International Conference on Intelligent and Fuzzy Systems (INFUS 2020).
• Toçoğlu, M.A., & Onan, A. (2020). Identification of sport news in Turkish Tweets using deep learning architectures. In International Conference on Intelligent Decision Science (IDS 2020).
• Onan, A. (2020). Evrişimli sinir ağı mimarilerine dayalı Türkçe duygu analizi. In 2nd International Conference on Human-Computer Interaction, Optimization and Robotic Applications (HORA 2020).
• Onan, A., Yalçın, A., & Atik, E. (2020). Üniversite Bilgi Yönetim Sistemi Servis Destek Taleplerinin Konu Modelleme Tabanlı Analizi. In 2nd International Conference on Human-Computer Interaction, Optimization and Robotic Applications (HORA 2020).
• Çaylı, Ö., Makav, B., Kılıç, V., & Onan, A. (2020). Natural language description of images using a smartphone application. In Second International Eurasian Conference on Science, Engineering and Technology (EurasianSciEnTech 2020).
• Onan, A. (2019). Deep learning based sentiment analysis on product reviews on Twitter. In 5th International Conference on Big Data Innovations and Applications (Innovate-Data 2019).
• Toçoğlu, M.A., & Onan, A. (2019). Satire detection in Turkish news articles: a machine learning approach. In 5th International Conference on Big Data Innovations and Applications (Innovate-Data 2019).
• Onan, A. (2019). Türkçe Twitter mesajları üzerinde yarı-öğreticili duygu analizi. In International Design and Engineering Symposium (IDES 2019).
• Onan, A. (2019). Kitlesel açık çevrimiçi ders değerlendirmeleri üzerinde konu modelleme yöntemlerine dayalı duygu analizi. In International Design and Engineering Symposium (IDES 2019).
• Onan, A. (2019). Türkçe metin belgeleri üzerinde küme topluluklarına dayalı kümeleme analizi. In International Design and Engineering Symposium (IDES 2019).
• Leblebici, A., Uncu, B., Onan, A., Baskın, Y., & Olgun, N. (2018). Artificial intelligence methods for risk assessment of neuroblastoma. In 50th Congress of the International Society of Paediatric Oncology (SIOP 2018). (Poster)
• Onan, A. (2018). Gender classification on microblogging platforms: a machine learning approach. In 7th International Conference on Advanced Technologies (ICAT 2018). (Best Presentation Award)
• Onan, A. (2018). Ensemble gene selection analysis scheme on microarray gene expression data. In 7th International Conference on Advanced Technologies (ICAT 2018).
• Onan, A. (2018). Supervised term weighting schemes for opinion spamming. In 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018).
• Onan, A. (2018). On the performance of cluster ensembles for document clustering. In 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018).
• Onan, A. (2018). Öğrencilerin akademik başarılarının tahmin edilmesinde makine öğrenmesi yöntemlerinin başarım analizi. In 8th International Congress of Research in Education (ULEAD 2018).
• Onan, A., Solmaz, M., & Arslan, B. (2018). GEOME3D: Geometrik kavramların eğitimine yönelik görsel eğitim yazılımı. In 8th International Congress of Research in Education (ULEAD 2018).
• Onan, A. (2017). Psycholinguistic feature sets in sentiment analysis on Twitter: an empirical analysis. In International Advanced Researches and Engineering Congress (IAREC 2017).
• Onan, A. (2017). Sentiment analysis on Twitter messages based on machine learning methods. In 4th International Management Information Systems Conference (IMISC 2017).
• Onan, A. (2017). A K-medoids based clustering scheme with an application to document clustering. In 2nd International Conference on Computer Science and Engineering (UBMK 2017).
• Onan, A. (2017). A machine learning based approach to identify geo-location of Twitter users. In Proceedings of the ACM Second International Conference on Internet of Things and Cloud Computing (ICC 2017).
• Onan, A., Korukoğlu, S., & Bulut, H. (2016). LDA-based topic modelling in text sentiment classification: an empirical analysis. In 17th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING 2016).
• Onan, A., & Korukoğlu, S. (2013). Improving performance of glowworm swarm optimization for cluster analysis using k-means. In International Symposium on Computing in Science & Engineering.

National Conference Proceedings

• Binici, R.C., Onan, A., Koch, R., & Schroder, S-M. (2024). Image Inpainting with GANs on LOKI Dataset. ASYU 2024.
• Özdemir, M.A., Güren, O., Cura, O.K, Akan, A., & Onan, A. (2020). Abnormal ECG beat detection based on convolutional neural networks. TIPTEKNO 2020- Tıp Teknolojileri Ulusal Kurultayı.
• Özdemir, M.A., Kısa, H.D., Güren, O., Onan, A., & Akan, A. (2020). EMG based hand gesture recognition using. TIPTEKNO 2020- Tıp Teknolojileri Ulusal Kurultayı.
• Onan, A. (2020). Ağırlıklı kelime vektörü tabanlı Türkçe duygu analizi. SİU 2020- 28. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı.
• Onan, A. (2020). Evrişimli sinir ağı tabanlı Türkçe duygu analizi. SİU 2020- 28. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı. (Poster)
• Onan, A. (2018). Psikolojik ve dilbilimsel özniteliklere dayalı istenmeyen inceleme metni belirleme.SİU 2018- 26. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı.
• Onan, A. (2018). Topluluk öğrenmesine dayalı öznitelik seçimi ve metin sınıflandırmada uygulanması. SİU 2018- 26. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı.
• Onan, A. (2017). Metin belgesi kümelemede metasezgisel yöntemlere dayalı kümeleme algoritmaları. ASYU 2017- Akıllı Sistemlerde Yenilikler ve Uygulamaları Konferansı.
• Okyay, M.S., Alaybeyoğlu, A., & Onan, A. (2017). Yapay zeka tabanlı akıllı muhasebe Android mobil uygulama tasarımı. ASYU 2017- Akıllı Sistemlerde Yenilikler ve Uygulamaları Konferansı.
• Onan, A. (2017). Türkçe Twitter mesajlarında gizli Dirichlet tahsisine dayalı duygu analizi.Akademik Bilişim.
• Onan, A., & Korukoğlu, S. (2016). Metin sınıflandırmada öznitelik seçim yöntemlerinin değerlendirilmesi. Akademik Bilişim.
• Taşcı, E., & Onan, A. (2016). K-en yakın komşu algoritması parametrelerinin sınıflandırma performansı üzerine etkisinin incelenmesi. Akademik Bilişim.
• Onan, A., & Korukoğlu, S. (2015, May). Ensemble methods for opinion mining. In Signal Processing and Communications Applications Conference (SIU), 2015 23th (pp. 212-215). IEEE.
• Onan, A. (2014). Öğrenci bilgi sistemi verileri üzerinde veri madenciliği sınıflandırıcılarına dayalı başarı durumu tahmini. YBS 2014- Yönetim Bilişim Sistemleri Konferansı.