PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Munshi, A. A., AlSabban, W. H., Farag, A. T., Rakha, O. E., Al Sallab, A., & Alotaibi, M. (2022). Automated Islamic jurisprudential legal opinions generation using artificial intelligence. Pertanika Journal of Science and Technology, 30(2), 1135-1156. https://doi.org/10.47836/pjst.30.2.16

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• Nayak, S. K., Rout, P. K., Jagadev, A. K., & Swarnkar, T. (2018). Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: A novel searching technique. Connection Science, 30(4), 362-387. https://doi.org/10.1080/09540091.2018.1487384

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• Onan, A. (2018b). Biomedical text categorization based on ensemble pruning and optimized topic modelling. Computational and Mathematical Methods in Medicine, 2018, Article 2497471. https://doi.org/10.1155/2018/2497471

• Onan, A. (2019a). Consensus clustering-based undersampling approach to imbalanced learning. Scientific Programming, 2019, Article 5901087. https://doi.org/10.1155/2019/5901087

• Onan, A. (2019b). Topic-enriched word embeddings for sarcasm identification. In Software Engineering Methods in Intelligent Algorithms: Proceedings of 8th Computer Science Online Conference (pp. 293-304). Springer. https://doi.org/10.1007/978-3-030-19807-7_29

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• Onan, A. (2021a). Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach. Computer Applications in Engineering Education, 29(3), 572-589. https://doi.org/10.1002/cae.22253

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• 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. https://doi.org/10.1016/j.jksuci.2022.02.025

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