| Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks S Tarnpradab, F Liu, KA Hua Florida Artificial Intelligence Research Society Conference (FLAIRS), 288-292, 2017 | 45 | 2017 |
| Syntactic recurrent neural network for authorship attribution F Jafariakinabad, S Tarnpradab, KA Hua arXiv preprint arXiv:1902.09723, 2019 | 29 | 2019 |
| Syntactic neural model for authorship attribution F Jafariakinabad, S Tarnpradab, KA Hua The Thirty-Third International Flairs Conference, 2020 | 10 | 2020 |
| Attention based neural architecture for rumor detection with author context awareness S Tarnpradab, KA Hua 2018 Thirteenth International Conference on Digital Information Management …, 2018 | 10 | 2018 |
| Improving Online Forums Summarization via Hierarchical Unified Deep Neural Network S Tarnpradab, F Jafariakinabad, KA Hua arXiv preprint arXiv:2103.13587, 2021 | 7* | 2021 |
| COMMIT: a multimedia collaboration system for future workplaces with the internet of things K Akpınar, T Ballard, KA Hua, K Li, S Tarnpradab, J Ye Proceedings of the 8th ACM on Multimedia Systems Conference, 349-360, 2017 | 3 | 2017 |
| Neural networks for prediction of stream flow based on snow accumulation S Tarnpradab, K Mehrotra, C Mohan, DG Chandler 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions …, 2014 | 2 | 2014 |
| End-to-End Deep Networks with Hierarchical Attention and Capsule Capabilities for Misinformation Detection on Microblogging Platforms S Tarnpradab, KA Hua SN Computer Science 5 (2), 1-16, 2024 | | 2024 |
| Optimizing Anomaly Detection in Large-scale Logs A Techaviseschai, VC Barroso, S Tarnpradab, P Phunchongharn 2023 14th International Conference on Information and Communication …, 2023 | | 2023 |
| Masked Face Recognition and Identification Using Convolutional Neural Networks P Poonpinij, S Tarnpradab, NN Lumpoon, N Wattanapongsakorn 2023 10th International Conference on Electrical Engineering, Computer …, 2023 | | 2023 |
| An Empirical Study on the Effectiveness of Bi-LSTM-Based Industry Rotation Strategies in Thai Equity Portfolios T Eiamyingsakul, S Tarnpradab, U Taetragool International Conference on Computational Science and Its Applications, 322-333, 2023 | | 2023 |
| Recurrent Neural Networks Methods For Social Media Challenges: Forum Summarization And Rumor Detection S Tarnpradab | | 2022 |
Kien HuaProfessor of CS, University of Central FloridaVerified email at cs.ucf.edu
