activity
20182025
most citedAttention-Based LSTM for Psychological Stress Detection from Spoken Language Using Distant Supervision

66 citations · 112 across the 11 of their papers we have counts for

collaborators

11 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.CV2025

Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia

Samuel Cahyawijaya, Holy Lovenia, Joel Ruben Antony Moniz +89

Southeast Asia (SEA) is a region of extraordinary linguistic and cultural diversity, yet it remains significantly underrepresented in vision-language (VL) research. This often resu…

cs.HC2025

Conversational Self-Play for Discovering and Understanding Psychotherapy Approaches

Onno P Kampman, Michael Xing, Charmaine Lim +4

This paper explores conversational self-play with LLMs as a scalable approach for analyzing and exploring psychotherapy approaches, evaluating how well AI-generated therapeutic dia…

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…

cs.CL2024★ 2 cited

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages

Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar +58

Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1,300 indigenous languages and a population of 671 million people. However, prevailing…

cs.LG2022★ 10 cited

Modeling the Machine Learning Multiverse

Samuel J. Bell, Onno P. Kampman, Jesse Dodge +1

Amid mounting concern about the reliability and credibility of machine learning research, we present a principled framework for making robust and generalizable claims: the multiver…

cs.LG2021★ 3 cited

Perspectives on Machine Learning from Psychology's Reproducibility Crisis

Samuel J. Bell, Onno P. Kampman

In the early 2010s, a crisis of reproducibility rocked the field of psychology. Following a period of reflection, the field has responded with radical reform of its scientific prac…

stat.ML2019★ 2 cited

Variational inference for neural network matrix factorization and its application to stochastic blockmodeling

Onno Kampman, Creighton Heaukulani

We consider the probabilistic analogue to neural network matrix factorization (Dziugaite & Roy, 2015), which we construct with Bayesian neural networks and fit with variational inf…

cs.CL2019★ 1 cited

Towards Universal End-to-End Affect Recognition from Multilingual Speech by ConvNets

Dario Bertero, Onno Kampman, Pascale Fung

We propose an end-to-end affect recognition approach using a Convolutional Neural Network (CNN) that handles multiple languages, with applications to emotion and personality recogn…

cs.CL2018★ 66 cited

Attention-Based LSTM for Psychological Stress Detection from Spoken Language Using Distant Supervision

Genta Indra Winata, Onno Pepijn Kampman, Pascale Fung

We propose a Long Short-Term Memory (LSTM) with attention mechanism to classify psychological stress from self-conducted interview transcriptions. We apply distant supervision by a…

cs.AI2018★ 25 cited

Investigating Audio, Visual, and Text Fusion Methods for End-to-End Automatic Personality Prediction

Onno Kampman, Elham J. Barezi, Dario Bertero +1

We propose a tri-modal architecture to predict Big Five personality trait scores from video clips with different channels for audio, text, and video data. For each channel, stacked…