Creighton Heaukulani
Creighton Heaukulani
MOH Office for Healthcare Transformation (MOHT), Ministry of Health, Singapore
Verified email at - Homepage
Cited by
Cited by
Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks
C Heaukulani, Z Ghahramani
ICML (2013), 2013
HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning
X Wang, N Vouk, C Heaukulani, T Buddhika, W Martanto, J Lee, ...
Journal of Medical Internet Research 23 (3), e23984, 2021
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
C Heaukulani, M van der Wilk
NeurIPS (2019), 2019
The combinatorial structure of beta negative binomial processes
C Heaukulani, DM Roy
Bernoulli 22 (4), 2301-2324, 2016
Gibbs-type Indian buffet processes
C Heaukulani, DM Roy
Bayesian Analysis 15 (3), 683--710, 2020
Beta diffusion trees and hierarchical feature allocations
C Heaukulani, DA Knowles, Z Ghahramani
ICML (2014); Extended version: arXiv:1408.3378, 2014
Evaluating the utility of digital phenotyping to predict health outcomes in schizophrenia: protocol for the HOPE-S observational study
NAA Rashid, W Martanto, Z Yang, X Wang, C Heaukulani, N Vouk, ...
BMJ open 11 (10), e046552, 2021
Bayesian inference on random simple graphs with power law degree distributions
J Lee, C Heaukulani, Z Ghahramani, LF James, S Choi
ICML (2017), 2017
Association between wrist wearable digital markers and clinical status in Schizophrenia
W Martanto, YY Koh, Z Yang, C Heaukulani, X Wang, NAA Rashid, A Sim, ...
General hospital psychiatry 70, 134-136, 2021
Variational inference for neural network matrix factorization and its application to stochastic blockmodeling
O Kampman, C Heaukulani
ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data, 2019
Generalized IBPs, random multisets, and tree-structured feature allocations
C Heaukulani
University of Cambridge, 2015
Perceived Usability, User Preferences and Impact of a Workplace Digital Mental Wellness Platform “Mindline at Work”: A Mixed Methods Study
S Yoon, H Goh, XC Low, JH Weng, C Heaukulani
Black-box constructions for exchangeable sequences of random multisets
C Heaukulani, DM Roy
arXiv preprint arXiv:1908.06349, 2019
Latent Dirichlet Reallocation for Term Swapping
C Heaukulani, J Le Roux, JR Hershey
International Workshop on Statistical Machine Learning for Speech Processing …, 2012
Mental Wellness Self-Care in Singapore With mindline. sg: A Tutorial on the Development of a Digital Mental Health Platform for Behavior Change
JH Weng, Y Hu, C Heaukulani, C Tan, JK Chang, YS Phang, ...
Journal of Medical Internet Research 26, e44443, 2024
Modelling financial volume curves with hierarchical Poisson processes
C Heaukulani, A Pandey, LF James
arXiv preprint arXiv:2406.19402, 2024
Deploying AI Methods for Mental Health in Singapore: From Mental Wellness to Serious Mental Health Conditions.
C Heaukulani, YS Phang, JH Weng, J Lee, RJT Morris
ML4CMH@ AAAI, 84-93, 2024
Perceptions of a Digital Mental Health Platform Among Participants With Depressive Disorder, Anxiety Disorder, and Other Clinically Diagnosed Mental Disorders in Singapore …
YS Phang, C Heaukulani, W Martanto, R Morris, MM Tong, R Ho
JMIR Human Factors 10, e42167, 2023
Supplementary Material: Bayesian inference on random simple graphs with power law degree distributions
J Lee, C Heaukulani, Z Ghahramani, LF James, S Choi
ICML (2017), 2017
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