| Syntactic neural model for authorship attribution F Jafariakinabad, S Tarnpradab, KA Hua The Thirty-Third International Flairs Conference, 2020 | 39* | 2020 |
| Style-aware Neural Model with Application in Authorship Attribution F Jafariakinabad, KA Hua 18th IEEE International Conference on Machine Learning Applications(ICMLA 2019), 2019 | 26 | 2019 |
| A self-supervised representation learning of sentence structure for authorship attribution F Jafariakinabad, KA Hua ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-16, 2022 | 16 | 2022 |
| Improving Online Forums Summarization via Unifying Hierarchical Attention Networks with Convolutional Neural Networks S Tarnpradab, F Jafariakinabad, KA Hua ArXiv, abs/2103.13587, 2021 | 7* | 2021 |
| Maximal Sequence Mining Approach for Topic Detection from Microblog Streams F Jafariakinabad, KA Hua 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016 | 7 | 2016 |
| Unifying lexical, syntactic, and structural representations of written language for authorship attribution F Jafariakinabad, KA Hua SN Computer Science 2 (6), 481, 2021 | 6 | 2021 |
| Fault-Tolerant Network-Server Architecture for Time-Critical Web Applications K Akpinar, F Jafariakinabad, KA Hua, O Nakhila, J Ye, C Zou 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th …, 2017 | 3 | 2017 |
| Machine Learning Techniques for Topic Detection and Authorship Attribution in Textual Data F Jafariakinabad | 1 | 2021 |
Kien HuaProfessor of CS, University of Central FloridaVerified email at cs.ucf.edu
