- Lianhe Cui. A label learning approach using competitive population optimization algorithm feature selection to improve multi-label classification algorithms. J. King Saud Univ. Comput. Inf. Sci., 36(6):102083, 2024.
- Zoran Gligoric, Ömer Faruk Görçün, Milos Gligoric 0002, Dragan Pamucar, Vladimir Simic, Hande Küçükönder. Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework. J. King Saud Univ. Comput. Inf. Sci., 36(5):102079, 2024.
- Makera Moayad Aziz, Azuraliza Abu Bakar, Mohd Ridzwan Yaakub. CoreNLP dependency parsing and pattern identification for enhanced opinion mining in aspect-based sentiment analysis. J. King Saud Univ. Comput. Inf. Sci., 36(5):102035, 2024.
- Nteziriza Nkerabahizi Josbert, Min Wei, Ping Wang 0008, Ahsan Rafiq. A look into smart factory for Industrial IoT driven by SDN technology: A comprehensive survey of taxonomy, architectures, issues and future research orientations. J. King Saud Univ. Comput. Inf. Sci., 36(5):102069, 2024.
- Francisco de Arriba Pérez, Silvia García-Méndez, Francisco J. González-Castaño, Jaime González-González. Corrigendum to "Explainable machine learning multi-label classification of Spanish legal judgements" [J. King Saud Univ. - Comput. Inf. Sci. 34 (2022) 10180-10192]. J. King Saud Univ. Comput. Inf. Sci., 36(2):101966, February 2024.
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- Xin Li, Xin Liu. Accelerated analysis on the triple momentum method for a two-layer ReLU neural network. J. King Saud Univ. Comput. Inf. Sci., 36(4):102016, 2024.
- Fouzia E. Alzhrani, Kawther Saeedi, Liping Zhao 0001. A process-aware framework to support Process Mining from blockchain applications. J. King Saud Univ. Comput. Inf. Sci., 36(2):101956, February 2024.
- Yao Wang, Yujia Huo, Changxiao Yang, Xingchen Huang, Dawen Xia, Fujian Feng. Knowledge ontology enhanced model for explainable knowledge tracing. J. King Saud Univ. Comput. Inf. Sci., 36(5):102065, 2024.
- Ghada Al-Mukhaini, Mohammed Anbar, Selvakumar Manickam, Taief Alaa Alamiedy, Ammar Al Momani. A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks. J. King Saud Univ. Comput. Inf. Sci., 36(1):101866, January 2024.