Sandjai Bhulai

Volledige naam

Dr. S. Bhulai

E-mail

S.Bhulai@cwi.nl

Telefoon

+31 20 592 4380

Kamer

M327

Afdeling(en)

Stochastics

Functie(s)

Researcher - Vrije Universiteit

Sandjai Bhulai

Salmi, S., Mérelle, S., Gilissen, R., van der Mei, R., & Bhulai, S. (2024). The most effective interventions for classification model development to predict chat outcomes based on the conversation content in online suicide prevention chats: Machine learning approach. JMIR Mental Health, 11, e57362:1–e57362:11. doi:10.2196/57362
van de Bijl, E., Klein, J., Pries, J., Bhulai, S., Hoogendoorn, M., & van der Mei, R. (2024). The dutch draw: Constructing a universal baseline for binary classification problems. Journal of Applied Probability, 1–19. doi:10.1017/jpr.2024.52
Gansekoele, A., Balalsoukas-Slimming, A., Brusse, T., Hoogendoorn, M., Bhulai, S., & van der Mei, R. (2024). A machine learning approach for simultaneous demapping of QAM and APSK constellations. In Proceedings of IEEE International Conference on Machine Learning for Communication and Networking (pp. 13–18). doi:10.1109/ICMLCN59089.2024.10624805
Salmi, S., van der Mei, R., Mérelle, S., & Bhulai, S. (2024). Topic modeling for conversations for mental health helplines with utterance embedding. Telematics and Informatics Reports, 13, 100126:1–100126:7. doi:10.1016/j.teler.2024.100126
Gansekoele, A., Bot, T., van der Mei, R., Bhulai, S., & Hoogendoorn, M. (2023). Unveiling the potential: Harnessing deep metric learning to circumvent video streaming encryption. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 163–170). doi:10.1109/WI-IAT59888.2023.00028
Pries, J., Bhulai, S., & van der Mei, R. (2023). Active pairwise distance learning for efficient labeling of large datasets by human experts. Applied Intelligence. doi:10.1007/s10489-023-04516-5
Berkelmans, G., Gilissen, R., Bhulai, S., van der Mei, R., & Schweren, L. (2023). Bij welke sociaal-demografische groepen komt suïcide het meest voor?. Tijdschrift voor Gezondheidswetenschappen, 101, 3–8. doi:10.1007/s12508-023-00398-7
de Boer, T., Mérelle, S., Bhulai, S., Gilissen, R., & van der Mei, R. (2023). Forecasting call and chat volumes at online helplines for mental health. BMC Public Health, 23(1). doi:10.1186/s12889-023-15887-2
Berkelmans, G., Schweren, L., Bhulai, S., van der Mei, R., & Gilissen, R. (2023). Identifying populations at ultra-high risk of suicide using a novel machine learning method. Comprehensive Psychiatry, 123. doi:10.1016/j.comppsych.2023.152380
Pries, J., van de Bijl, E., Klein, J., Bhulai, S., & van der Mei, R. (2023). The optimal input-independent baseline for binary classification: The Dutch Draw. Statistica Neerlandica. doi:10.1111/stan.12297