By Mr Yonchanok Khaokaew

Journal articles

Khaokaew Y; Xue H; Salim FD, 2024, 'MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings', Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 8, http://dx.doi.org/10.1145/3643514

Khaokaew Y; Holcombe-James I; Rahaman MS; Liono J; Trippas JR; Spina D; Bailey P; Belkin NJ; Bennett PN; Ren Y; Sanderson M; Scholer F; White RW; Salim FD, 2022, 'Imagining future digital assistants at work: A study of task management needs', International Journal of Human Computer Studies, 168, http://dx.doi.org/10.1016/j.ijhcs.2022.102905

Khaokaew Y; Anusas-Amornkul T; Meesublak K, 2015, 'Intrusion Detection System Based on Hybrid Feature Selection and Support Vector Machine (HFS-SVM)', Applied Mechanics and Materials, 781, pp. 125 - 128, http://dx.doi.org/10.4028/www.scientific.net/amm.781.125

Conference Papers

Kong R; Anderson T; Scotch M; Heslop DJ; Khaokaew Y; Xue H; Xiong L; Macintyre CR; Salim FD; Züfle A, 2025, 'Simulated Infectious Diseases Datasets with Controlled Data Bias', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 5551 - 5559, http://dx.doi.org/10.1145/3711896.3737401

dela Cruz FZ; Salim FD; Khaokaew Y; Chan J, 2024, 'CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework', in Recsys 2024 Proceedings of the 18th ACM Conference on Recommender Systems, pp. 924 - 928, http://dx.doi.org/10.1145/3640457.3688170

Khaokaew Y; Xue H; Rahaman MS; Salim FD, 2024, 'WorkR: Occupation Inference for Intelligent Task Assistance', in Iswc 2024 Proceedings of the 2024 ACM International Symposium on Wearable Computers, pp. 118 - 124, http://dx.doi.org/10.1145/3675095.3676622

Khaokaew Y; Salim FD; Xue H, 2023, 'Understanding Mobile Information Needs and Behaviours', in Ubicomp Iswc 2023 Adjunct Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing, pp. 210 - 214, http://dx.doi.org/10.1145/3594739.3610760

Khaokaew Y; Rahaman MS; White RW; Salim FD, 2021, 'CoSEM: Contextual and Semantic Embedding for App Usage Prediction', in International Conference on Information and Knowledge Management Proceedings, pp. 3137 - 3141, http://dx.doi.org/10.1145/3459637.3482076

Khaokaew Y; Anusas-amornkul T, 2016, 'A performance comparison of feature selection techniques with SVM for network anomaly detection', in 2016 4th International Symposium on Computational and Business Intelligence (ISCBI), IEEE, pp. 85 - 89, presented at 2016 4th International Symposium on Computational and Business Intelligence (ISCBI), 05 September 2016 - 07 September 2016, http://dx.doi.org/10.1109/iscbi.2016.7743263

Khaokaew Y; Pukkawanna S, 2012, 'Time series anomaly detection using recessive subsequence', in The International Conference on Information Network 2012, IEEE, pp. 329 - 333, presented at 2012 International Conference on Information Networking (ICOIN), 01 February 2012 - 03 February 2012, http://dx.doi.org/10.1109/icoin.2012.6164419

Preprints

Khaokaew Y; Salim FD; Züfle A; Xue H; Anderson T; MacIntyre CR; Scotch M; Heslop DJ, 2025, Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare, http://arxiv.org/abs/2504.08260v2

Chen B; Wongso W; Li Z; Khaokaew Y; Xue H; Salim F, 2025, COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition, http://arxiv.org/abs/2503.07259v1

Khaokaew Y; Xue H; Rahaman MS; Salim FD, 2024, WorkR: Occupation Inference for Intelligent Task Assistance, http://dx.doi.org/10.48550/arxiv.2407.18518

Cruz FZD; Salim FD; Khaokaew Y; Chan J, 2024, CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework, http://dx.doi.org/10.48550/arxiv.2406.03109

Khaokaew Y; Ji K; Nguyen TH; Kegalle H; Alaofi M; Xue H; Salim FD, 2023, ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality, http://dx.doi.org/10.48550/arxiv.2310.16242

Khaokaew Y; Xue H; Salim FD, 2023, MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings, http://dx.doi.org/10.48550/arxiv.2309.08648

Khaokaew Y; Holcombe-James I; Rahaman MS; Liono J; Trippas JR; Spina D; Belkin N; Bailey P; Bennett PN; Ren Y; Sanderson M; Scholer F; White RW; Salim FD, 2022, Imagining Future Digital Assistants at Work: A Study of Task Management Needs, http://arxiv.org/abs/2208.03443v1

Khaokaew Y; Rahaman MS; White RW; Salim FD, 2021, CoSEM: Contextual and Semantic Embedding for App Usage Prediction, http://dx.doi.org/10.48550/arxiv.2108.11561

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