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Vineet Kumar Sejwal
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Journal Articles
- 2024
- [j6]Ashraf Kamal, Tarique Anwar, Vineet Kumar Sejwal, Mohd Fazil:
BiCapsHate: Attention to the Linguistic Context of Hate via Bidirectional Capsules and Hatebase. IEEE Trans. Comput. Soc. Syst. 11(2): 1781-1792 (2024) - 2022
- [j5]Shakir Khan, Ashraf Kamal, Mohd Fazil, Mohammed Ali Alshara, Vineet Kumar Sejwal, Reemiah Muneer Alotaibi, Abdul Rauf Baig, Salihah Alqahtani:
HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network. IEEE Access 10: 7881-7894 (2022) - [j4]Vineet Kumar Sejwal, Muhammad Abulaish:
A hybrid recommendation technique using topic embedding for rating prediction and to handle cold-start problem. Expert Syst. Appl. 209: 118307 (2022) - [j3]Shakir Khan, Mohd Fazil, Vineet Kumar Sejwal, Mohammed Ali Alshara, Reemiah Muneer Alotaibi, Ashraf Kamal, Abdul Rauf Baig:
BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection. J. King Saud Univ. Comput. Inf. Sci. 34(7): 4335-4344 (2022) - 2021
- [j2]Vineet Kumar Sejwal, Muhammad Abulaish:
CAMO: A context-aware movie ontology generated from LOD and movie databases. Multim. Tools Appl. 80(5): 7247-7269 (2021) - 2020
- [j1]Vineet Kumar Sejwal, Muhammad Abulaish, Jahiruddin:
CRecSys: A Context-Based Recommender System Using Collaborative Filtering and LOD. IEEE Access 8: 158432-158448 (2020)
Conference and Workshop Papers
- 2019
- [c2]Vineet Kumar Sejwal, Muhammad Abulaish:
Context-Based Rating Prediction using Collaborative Filtering and Linked Open Data. WIMS 2019: 19:1-19:9 - [c1]Vineet Kumar Sejwal, Muhammad Abulaish:
Trust and Context-based Rating Prediction using Collaborative Filtering: A Hybrid Approach. WIMS 2019: 20:1-20:10
Coauthor Index
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