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ORCIDMohd Fazil
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2020 – today
- 2024
[j12]Mohd Fazil
, Angelica Risquez, Claire Halpin:
A Novel Deep Learning Model for Student Performance Prediction Using Engagement Data. J. Learn. Anal. 11(2): 23-41 (2024)- [j11]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) - 2023
- [j10]Mohd Fazil, Shakir Khan, Bader M. Albahlal, Reemiah Muneer Alotaibi, Tamanna Siddiqui, Mohd Asif Shah:
Attentional Multi-Channel Convolution With Bidirectional LSTM Cell Toward Hate Speech Prediction. IEEE Access 11: 16801-16811 (2023) - [c8]Muhammad Abulaish, Anuj Saraswat, Mohd Fazil:
A Multi-Task Learning Framework using Graph Attention Network for User Stance and Rumor Veracity Prediction. ASONAM 2023: 149-153 - [i1]Obaidullah Zaland, Muhammad Abulaish, Mohd Fazil:
A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches. CoRR abs/2303.07196 (2023) - 2022
- [j9]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) - [j8]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) - [j7]Muhammad Abulaish, Mohd Fazil, Mohammed J. Zaki:
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics. ACM Trans. Knowl. Discov. Data 16(4): 70:1-70:30 (2022) - 2021
- [j6]Muhammad Abulaish, Mohd Fazil:
A machine learning approach for socialbot targets detection on Twitter. J. Intell. Fuzzy Syst. 40(3): 4115-4133 (2021) - [j5]Mohd Fazil, Amit Kumar Sah, Muhammad Abulaish:
DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection. IEEE Trans. Inf. Forensics Secur. 16: 4211-4223 (2021) - 2020
- [j4]Mohd Fazil, Muhammad Abulaish:
A socialbots analysis-driven graph-based approach for identifying coordinated campaigns in twitter. J. Intell. Fuzzy Syst. 38(3): 2961-2977 (2020) - [j3]Muhammad Abulaish, Mohd Fazil:
Socialbots: Impacts, Threat-Dimensions, and Defense Challenges. IEEE Technol. Soc. Mag. 39(3): 52-61 (2020) - [c7]Muhammad Abulaish, Mohd Fazil, Tarique Anwar:
A Contextual Semantic-Based Approach for Domain-Centric Lexicon Expansion. ADC 2020: 216-224 - [c6]Mohd Fazil, Amit Kumar Sah, Muhammad Abulaish:
A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN. WI/IAT 2020: 954-959
2010 – 2019
- 2019
- [c5]Muhammad Abulaish, Sielvie Sharma, Mohd Fazil:
A Multi-Attributed Graph-Based Approach for Text Data Modeling and Event Detection in Twitter. COMSNETS 2019: 703-708 - [c4]Muhammad Abulaish, Nikita Kumari, Mohd Fazil, Basanta Singh:
A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter. WI 2019: 466-470 - 2018
- [j2]Muhammad Abulaish, Mohd Fazil:
Modeling Topic Evolution in Twitter: An Embedding-Based Approach. IEEE Access 6: 64847-64857 (2018) - [j1]Mohd Fazil, Muhammad Abulaish:
A Hybrid Approach for Detecting Automated Spammers in Twitter. IEEE Trans. Inf. Forensics Secur. 13(11): 2707-2719 (2018) - [c3]Muhammad Abulaish, Md. Imran Hossain Showrov, Mohd Fazil:
A Layered Approach for Summarization and Context Learning from Microblogging Data. iiWAS 2018: 70-78 - 2017
- [c2]Mohd Fazil, Muhammad Abulaish:
Why a socialbot is effective in Twitter? A statistical insight. COMSNETS 2017: 564-569 - [c1]Mohd Fazil, Muhammad Abulaish:
Identifying active, reactive, and inactive targets of socialbots in Twitter. WI 2017: 573-580
Coauthor Index
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