Context-Based Rating Prediction using Collaborative Filtering and Linked Open Data. - Vineet Kumar Sejwal; Muhammad Abulaish (WIMS, 2019)

Trust and Context-based Rating Prediction using Collaborative Filtering: A Hybrid Approach. - Vineet Kumar Sejwal; Muhammad Abulaish (WIMS, 2019)

CRecSys: A Context-Based Recommender System Using Collaborative Filtering and LOD. - Vineet Kumar Sejwal; Muhammad Abulaish; Jahiruddin (IEEE Access, 2020)

CAMO: A context-aware movie ontology generated from LOD and movie databases. - Vineet Kumar Sejwal; Muhammad Abulaish (Multim. Tools Appl., 2021)

HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network. - Shakir Khan; Ashraf Kamal; Mohd Fazil; Mohammed Ali Alshara; Vineet Kumar Sejwal; Reemiah Muneer Alotaibi; Abdul Rauf Baig; Salihah Alqahtani (IEEE Access, 2022)

A hybrid recommendation technique using topic embedding for rating prediction and to handle cold-start problem. - Vineet Kumar Sejwal; Muhammad Abulaish (Expert Syst. Appl., 2022)

BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection. - Shakir Khan; Mohd Fazil; Vineet Kumar Sejwal; Mohammed Ali Alshara; Reemiah Muneer Alotaibi; Ashraf Kamal; Abdul Rauf Baig (J. King Saud Univ. Comput. Inf. Sci., 2022)

BiCapsHate: Attention to the Linguistic Context of Hate via Bidirectional Capsules and Hatebase. - Ashraf Kamal; Tarique Anwar; Vineet Kumar Sejwal; Mohd Fazil (IEEE Trans. Comput. Soc. Syst., 2024)