| A performance comparison of feature selection techniques with SVM for network anomaly detection Y Khaokaew, T Anusas-amornkul 2016 4th international symposium on computational and business intelligence …, 2016 | 6 | 2016 |
| Imagining future digital assistants at work: A study of task management needs Y Khaokaew, I Holcombe-James, MS Rahaman, J Liono, JR Trippas, ... International Journal of Human-Computer Studies 168, 102905, 2022 | 4 | 2022 |
| Cosem: Contextual and semantic embedding for app usage prediction Y Khaokaew, MS Rahaman, RW White, FD Salim Proceedings of the 30th ACM International Conference on Information …, 2021 | 4 | 2021 |
| Time series anomaly detection using recessive subsequence Y Khaokaew, S Pukkawanna The International Conference on Information Network 2012, 329-333, 2012 | 4 | 2012 |
| MAPLE: Mobile App Prediction Leveraging Large Language model Embeddings Y Khaokaew, H Xue, FD Salim Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2024 | 1 | 2024 |
| Intrusion Detection System based on Hybrid Feature Selection and Support Vector Machine (HFS-SVM) Y Khaokaew, T Anusas-Amornkul, K Meesublak Applied Mechanics and Materials 781, 125-128, 2015 | 1 | 2015 |
| ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality Y Khaokaew, TH Nguyen, K Ji, H Kegalle, M Alaofi arXiv preprint arXiv:2310.16242, 2023 | | 2023 |
| Understanding Mobile Information Needs and Behaviours Y Khaokaew, FD Salim, H Xue Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023 | | 2023 |
Sirikarn Pukkawanna, PhDCybersecurity Advisor, MicrosoftVerified email at microsoft.com
Sirikarn Pukkawanna, PhDCybersecurity Advisor, MicrosoftVerified email at microsoft.com