activity
20152025
most citedA Multi-Agent Dual Dialogue System to Support Mental Health Care Providers

2 citations · 3 across the 4 of their papers we have counts for

collaborators

9 papers

cs.SI2025★ 1 cited

Evaluation of A National Digitally-Enabled Health Promotion Campaign for Mental Health Awareness using Social Media Platforms Tik Tok, Facebook, Instagram, and YouTube

Samantha Bei Yi Yan, Dinesh Visva Gunasekeran, Caitlyn Tan +7

Mental health disorders rank among the 10 leading contributors to the global burden of diseases, yet persistent stigma and care barriers delay early intervention. This has inspired…

cs.HC2024★ 2 cited

A Multi-Agent Dual Dialogue System to Support Mental Health Care Providers

Onno P. Kampman, Ye Sheng Phang, Stanley Han +9

We introduce a general-purpose, human-in-the-loop dual dialogue system to support mental health care professionals. The system, co-designed with care providers, is conceptualized t…

q-fin.ST2024

Modelling financial volume curves with hierarchical Poisson processes

Creighton Heaukulani, Abhinav Pandey, Lancelot F. James

Modeling the trading volume curves of financial instruments throughout the day is of key interest in financial trading applications. Predictions of these so-called volume profiles…

cs.HC2020

HOPES -- An Integrative Digital Phenotyping Platform for Data Collection, Monitoring and Machine Learning

Xuancong Wang, Nikola Vouk, Creighton Heaukulani +4

We describe the development of, and early experiences with, comprehensive Digital Phenotyping platform: Health Outcomes through Positive Engagement and Self-Empowerment (HOPES). HO…

math.PR2019

Black-box constructions for exchangeable sequences of random multisets

Creighton Heaukulani, Daniel M. Roy

We develop constructions for exchangeable sequences of point processes that are rendered conditionally-i.i.d. negative binomial processes by a (possibly unknown) random measure cal…

stat.ML2019

Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes

Creighton Heaukulani, Mark van der Wilk

We implement gradient-based variational inference routines for Wishart and inverse Wishart processes, which we apply as Bayesian models for the dynamic, heteroskedastic covariance…