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Aytug Onan
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2020 – today
- 2024
- [j30]Aytug Onan
, Kadriye Filiz Balbal
Improving Turkish Text Sentiment Classification Through Task-Specific and Universal Transformations: An Ensemble Data Augmentation Approach. IEEE Access 12: 4413-4458 (2024) - [j29]Arbi Haza Nasution
ChatGPT Label: Comparing the Quality of Human-Generated and LLM-Generated Annotations in Low-Resource Language NLP Tasks. IEEE Access 12: 71876-71900 (2024) - [j28]Vahide Bulut
Obtaining the optimal shortest path between two points on a quasi-developable Bézier-type surface using the Geodesic-based Q-learning algorithm. Eng. Appl. Artif. Intell. 136: 108821 (2024) - [j27]Aytug Onan
FuzzyTP-BERT: Enhancing extractive text summarization with fuzzy topic modeling and transformer networks. J. King Saud Univ. Comput. Inf. Sci. 36(6): 102080 (2024) - [j26]Aytug Onan
DeepExtract: Semantic-driven extractive text summarization framework using LLMs and hierarchical positional encoding. J. King Saud Univ. Comput. Inf. Sci. 36(8): 102178 (2024) - 2023
- [j25]Aytug Onan
GTR-GA: Harnessing the power of graph-based neural networks and genetic algorithms for text augmentation. Expert Syst. Appl. 232: 120908 (2023) - [j24]Mahmut Agrali
DeepChestNet: Artificial intelligence approach for COVID-19 detection on computed tomography images. Int. J. Imaging Syst. Technol. 33(3): 776-788 (2023) - [j23]Aytug Onan
Hierarchical graph-based text classification framework with contextual node embedding and BERT-based dynamic fusion. J. King Saud Univ. Comput. Inf. Sci. 35(7): 101610 (2023) - [j22]Aytug Onan
SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization. J. King Saud Univ. Comput. Inf. Sci. 35(7): 101611 (2023) - [i1]Sila Ovgu Korkut, Oznur Oztunc Kaymak, Aytug Onan, Erman Ulker, Femin Yalcin:
A Roadmap of Emerging Trends Discovery in Hydrology: A Topic Modeling Approach. CoRR abs/2310.15943 (2023) - 2022
- [j21]Gül Cihan Habek, Mansur Alp Toçoglu
Bi-Directional CNN-RNN Architecture with Group-Wise Enhancement and Attention Mechanisms for Cryptocurrency Sentiment Analysis. Appl. Artif. Intell. 36(1) (2022) - [j20]Aytug Onan:
Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification. J. King Saud Univ. Comput. Inf. Sci. 34(5): 2098-2117 (2022) - [c16]Özkan Çayli, Volkan Kiliç, Aytug Onan, Wenwu Wang:
Auxiliary Classifier based Residual RNN for Image Captioning. EUSIPCO 2022: 1126-1130 - [c15]Özge Taylan Moral, Volkan Kiliç, Aytug Onan, Wenwu Wang:
Automated Image Captioning with Multi-layer Gated Recurrent Unit. EUSIPCO 2022: 1160-1164 - 2021
- [j19]Aytug Onan
A Term Weighted Neural Language Model and Stacked Bidirectional LSTM Based Framework for Sarcasm Identification. IEEE Access 9: 7701-7722 (2021) - [j18]Aytug Onan
Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach. Comput. Appl. Eng. Educ. 29(3): 572-589 (2021) - [j17]Aytug Onan
Weighted word embeddings and clustering-based identification of question topics in MOOC discussion forum posts. Comput. Appl. Eng. Educ. 29(4): 675-689 (2021) - [j16]Aytug Onan
Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks. Concurr. Comput. Pract. Exp. 33(23) (2021) - [c14]Rumeysa Keskin, Özge Taylan Moral, Volkan Kiliç
Multi-GRU Based Automated Image Captioning for Smartphones. SIU 2021: 1-4 - 2020
- [j15]Aytug Onan
Mining opinions from instructor evaluation reviews: A deep learning approach. Comput. Appl. Eng. Educ. 28(1): 117-138 (2020) - [j14]Aytug Onan
Satire identification in Turkish news articles based on ensemble of classifiers. Turkish J. Electr. Eng. Comput. Sci. 28(2): 1086-1106 (2020) - [c13]Aytug Onan:
Sentiment Analysis in Turkish Based on Weighted Word Embeddings. SIU 2020: 1-4
2010 – 2019
- 2019
- [j13]Aytug Onan
Two-Stage Topic Extraction Model for Bibliometric Data Analysis Based on Word Embeddings and Clustering. IEEE Access 7: 145614-145633 (2019) - [j12]Aytug Onan
Consensus Clustering-Based Undersampling Approach to Imbalanced Learning. Sci. Program. 2019: 5901087:1-5901087:14 (2019) - [c12]Aytug Onan
Topic-Enriched Word Embeddings for Sarcasm Identification. CSOC (1) 2019: 293-304 - [c11]Aytug Onan
Deep Learning Based Sentiment Analysis on Product Reviews on Twitter. Innovate-Data 2019: 80-91 - [c10]Mansur Alp Toçoglu
Satire Detection in Turkish News Articles: A Machine Learning Approach. Innovate-Data 2019: 107-117 - 2018
- [j11]Aytug Onan
Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling. Comput. Math. Methods Medicine 2018: 2497471:1-2497471:22 (2018) - [j10]Aytug Onan
An ensemble scheme based on language function analysis and feature engineering for text genre classification. J. Inf. Sci. 44(1): 28-47 (2018) - [c9]Aytug Onan
Semantic Query Suggestion Based on Optimized Random Forests. CSOS (2) 2018: 91-102 - [c8]Aytug Onan
Ensemble learning based feature selection with an application to text classification. SIU 2018: 1-4 - [c7]Aytug Onan
Review spam detection based on psychological and linguistic features. SIU 2018: 1-4 - 2017
- [j9]Aytug Onan
A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification. Inf. Process. Manag. 53(4): 814-833 (2017) - [j8]Aytug Onan
A feature selection model based on genetic rank aggregation for text sentiment classification. J. Inf. Sci. 43(1): 25-38 (2017) - [j7]Aytug Onan
An improved ant algorithm with LDA-based representation for text document clustering. J. Inf. Sci. 43(2): 275-292 (2017) - [j6]Aytug Onan
Hybrid supervised clustering based ensemble scheme for text classification. Kybernetes 46(2): 330-348 (2017) - [c6]Aytug Onan
Sarcasm Identification on Twitter: A Machine Learning Approach. CSOC (1) 2017: 374-383 - [c5]Aytug Onan
A machine learning based approach to identify geo-location of Twitter users. ICC 2017: 69:1-69:6 - 2016
- [b1]Aytug Onan:
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). Ege University, Turkey, 2016 - [j5]Aytug Onan
Ensemble of keyword extraction methods and classifiers in text classification. Expert Syst. Appl. 57: 232-247 (2016) - [j4]Aytug Onan
A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification. Expert Syst. Appl. 62: 1-16 (2016) - [j3]Aytug Onan, Serdar Korukoglu, Hasan Bulut:
LDA-based Topic Modelling in Text Sentiment Classification: An Empirical Analysis. Int. J. Comput. Linguistics Appl. 7(1): 101-119 (2016) - [j2]Aytug Onan
Classifier and feature set ensembles for web page classification. J. Inf. Sci. 42(2): 150-165 (2016) - [c4]Aytug Onan
Exploring Performance of Instance Selection Methods in Text Sentiment Classification. CSOC (1) 2016: 167-179 - 2015
- [j1]Aytug Onan
A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer. Expert Syst. Appl. 42(20): 6844-6852 (2015) - [c3]Aytug Onan
On the Performance of Ensemble Learning for Automated Diagnosis of Breast Cancer. CSOC (1) 2015: 119-129 - [c2]Aytug Onan
Artificial Immune System Based Web Page Classification. CSOC (2) 2015: 189-199 - [c1]Aytug Onan
Ensemble methods for opinion mining. SIU 2015: 212-215
Coauthor Index
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last updated on 2024-12-10 21:47 CET by the dblp team
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