On the Performance of Ensemble Learning for Automated Diagnosis of Breast Cancer. - Aytug Onan (CSOC (1), 2015)

Artificial Immune System Based Web Page Classification. - Aytug Onan (CSOC (2), 2015)

Ensemble methods for opinion mining. - Aytug Onan; Serdar Korukoglu (SIU, 2015)

A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer. - Aytug Onan (Expert Syst. Appl., 2015)

Exploring Performance of Instance Selection Methods in Text Sentiment Classification. - Aytug Onan; Serdar Korukoglu (CSOC (1), 2016)

Ensemble of keyword extraction methods and classifiers in text classification. - Aytug Onan; Serdar Korukoglu; Hasan Bulut (Expert Syst. Appl., 2016)

A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification. - Aytug Onan; Serdar Korukoglu; Hasan Bulut (Expert Syst. Appl., 2016)

LDA-based Topic Modelling in Text Sentiment Classification: An Empirical Analysis. - Aytug Onan; Serdar Korukoglu; Hasan Bulut (Int. J. Comput. Linguistics Appl., 2016)

Classifier and feature set ensembles for web page classification. - Aytug Onan (J. Inf. Sci., 2016)

Görüş sınıflandırma için makine öğrenmesi algoritmalarına dayalı bir yöntem tasarımı ve gerçekleştirimi (The design and implementation of a method for opinion classification based on machine learning algorithms) - Aytug Onan (2016)

Sarcasm Identification on Twitter: A Machine Learning Approach. - Aytug Onan (CSOC (1), 2017)

A machine learning based approach to identify geo-location of Twitter users. - Aytug Onan (ICC, 2017)

A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification. - Aytug Onan; Serdar Korukoglu; Hasan Bulut (Inf. Process. Manag., 2017)

An improved ant algorithm with LDA-based representation for text document clustering. - Aytug Onan; Hasan Bulut; Serdar Korukoglu (J. Inf. Sci., 2017)

A feature selection model based on genetic rank aggregation for text sentiment classification. - Aytug Onan; Serdar Korukoglu (J. Inf. Sci., 2017)

Hybrid supervised clustering based ensemble scheme for text classification. - Aytug Onan (Kybernetes, 2017)

Semantic Query Suggestion Based on Optimized Random Forests. - Aytug Onan (CSOS (2), 2018)

Ensemble learning based feature selection with an application to text classification. - Aytug Onan (SIU, 2018)

Review spam detection based on psychological and linguistic features. - Aytug Onan (SIU, 2018)

Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling. - Aytug Onan (Comput. Math. Methods Medicine, 2018)

An ensemble scheme based on language function analysis and feature engineering for text genre classification. - Aytug Onan (J. Inf. Sci., 2018)

Topic-Enriched Word Embeddings for Sarcasm Identification. - Aytug Onan (CSOC (1), 2019)

Deep Learning Based Sentiment Analysis on Product Reviews on Twitter. - Aytug Onan (Innovate-Data, 2019)

Satire Detection in Turkish News Articles: A Machine Learning Approach. - Mansur Alp Toçoglu; Aytug Onan (Innovate-Data, 2019)

Two-Stage Topic Extraction Model for Bibliometric Data Analysis Based on Word Embeddings and Clustering. - Aytug Onan (IEEE Access, 2019)

Consensus Clustering-Based Undersampling Approach to Imbalanced Learning. - Aytug Onan (Sci. Program., 2019)

Sentiment Analysis in Turkish Based on Weighted Word Embeddings. - Aytug Onan (SIU, 2020)

Mining opinions from instructor evaluation reviews: A deep learning approach. - Aytug Onan (Comput. Appl. Eng. Educ., 2020)

Satire identification in Turkish news articles based on ensemble of classifiers. - Aytug Onan; Mansur Alp Toçoglu (Turkish J. Electr. Eng. Comput. Sci., 2020)

Multi-GRU Based Automated Image Captioning for Smartphones. - Rumeysa Keskin; Özge Taylan Moral; Volkan Kiliç; Aytug Onan (SIU, 2021)

A Term Weighted Neural Language Model and Stacked Bidirectional LSTM Based Framework for Sarcasm Identification. - Aytug Onan; Mansur Alp Toçoglu (IEEE Access, 2021)

Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach. - Aytug Onan (Comput. Appl. Eng. Educ., 2021)

Weighted word embeddings and clustering-based identification of question topics in MOOC discussion forum posts. - Aytug Onan; Mansur Alp Toçoglu (Comput. Appl. Eng. Educ., 2021)

Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks. - Aytug Onan (Concurr. Comput. Pract. Exp., 2021)

Auxiliary Classifier based Residual RNN for Image Captioning. - Özkan Çayli; Volkan Kiliç; Aytug Onan; Wenwu Wang 001 (EUSIPCO, 2022)

Automated Image Captioning with Multi-layer Gated Recurrent Unit. - Özge Taylan Moral; Volkan Kiliç; Aytug Onan; Wenwu Wang 001 (EUSIPCO, 2022)

Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification. - Aytug Onan (J. King Saud Univ. Comput. Inf. Sci., 2022)

Bi-Directional CNN-RNN Architecture with Group-Wise Enhancement and Attention Mechanisms for Cryptocurrency Sentiment Analysis. - Gül Cihan Habek; Mansur Alp Toçoglu; Aytug Onan (Appl. Artif. Intell., 2022)

A Roadmap of Emerging Trends Discovery in Hydrology: A Topic Modeling Approach. - Sila Ovgu Korkut; Oznur Oztunc Kaymak; Aytug Onan; Erman Ulker; Femin Yalçin (CoRR, 2023)

DeepChestNet: Artificial intelligence approach for COVID-19 detection on computed tomography images. - Mahmut Agrali; Volkan Kilic; Aytug Onan; Esra Meltem Koç; Ali Murat Koc; Rasit Eren Büyüktoka; Türker Acar; Zehra Adibelli (Int. J. Imaging Syst. Technol., 2023)

Hierarchical graph-based text classification framework with contextual node embedding and BERT-based dynamic fusion. - Aytug Onan (J. King Saud Univ. Comput. Inf. Sci., 2023)

SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization. - Aytug Onan (J. King Saud Univ. Comput. Inf. Sci., 2023)

GTR-GA: Harnessing the power of graph-based neural networks and genetic algorithms for text augmentation. - Aytug Onan (Expert Syst. Appl., 2023)

ChatGPT Label: Comparing the Quality of Human-Generated and LLM-Generated Annotations in Low-Resource Language NLP Tasks. - Arbi Haza Nasution; Aytug Onan (IEEE Access, 2024)

Improving Turkish Text Sentiment Classification Through Task-Specific and Universal Transformations: An Ensemble Data Augmentation Approach. - Aytug Onan; Kadriye Filiz Balbal (IEEE Access, 2024)

Obtaining the optimal shortest path between two points on a quasi-developable Bézier-type surface using the Geodesic-based Q-learning algorithm. - Vahide Bulut; Aytug Onan; Betul Senyayla (Eng. Appl. Artif. Intell., 2024)

FuzzyTP-BERT: Enhancing extractive text summarization with fuzzy topic modeling and transformer networks. - Aytug Onan; Hesham Alhumyani (J. King Saud Univ. Comput. Inf. Sci., 2024)

DeepExtract: Semantic-driven extractive text summarization framework using LLMs and hierarchical positional encoding. - Aytug Onan; Hesham Alhumyani (J. King Saud Univ. Comput. Inf. Sci., 2024)

Exploring Text Similarity in Human and AI-Generated Scientific Abstracts: A Comprehensive Analysis. - Tugba Çelikten; Aytug Onan (IEEE Access, 2025)

Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets. - Arbi Haza Nasution; Aytug Onan; Yohei Murakami; Winda Monika; Anggi Hanafiah (IEEE Access, 2025)

Multi-Layer Gated Recurrent Unit-Based Recurrent Neural Network for Image Captioning. - Özkan Çayli; Volkan Kiliç; Aytug Onan; Wenwu Wang 001 (Int. J. Pattern Recognit. Artif. Intell., 2025)

Topic modeling through rank-based aggregation and LLMs: An approach for AI and human-generated scientific texts. - Tugba Çelikten; Aytug Onan (Knowl. Based Syst., 2025)

Medcongtm: Interpretable multi-label clinical code prediction with dual-view graph contrastive topic modeling. - Tugba Çelikten; Aytug Onan (Knowl. Based Syst., 2025)

A2CEM: A contrastive embedding framework for adversarial robustness in large language models. - Ahmet Emre Ergun; Aytug Onan (Knowl. Based Syst., 2025)

Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language Models. - Zahra Khalila; Arbi Haza Nasution; Winda Monika; Aytug Onan; Yohei Murakami; Yasir Bin Ismail Radi; Noor Mohammad Osmani (CoRR, 2025)

Can You Detect the Difference? - Ismail Tarim; Aytug Onan (CoRR, 2025)