Construction and validation of a game-based intelligence assessment in minecraft. - Heinrich Peters; Andrew Kyngdon; David Stillwell (Comput. Hum. Behav., 2021)

Predicting Future Location Categories of Users in a Large Social Platform. - Raiyan Abdul Baten; Yozen Liu; Heinrich Peters; Francesco Barbieri; Neil Shah; Leonardo Neves; Maarten W. Bos (ICWSM, 2023)

Large Language Models Can Infer Psychological Dispositions of Social Media Users. - Heinrich Peters; Sandra C. Matz (CoRR, 2023)

Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python. - Heinrich Peters; Michael Parrott (CoRR, 2023)

Generalizable Error Modeling for Search Relevance Data Annotation Tasks. - Heinrich Peters; Alireza Hashemi; James Rae (CoRR, 2023)

Context-Aware Prediction of User Engagement on Online Social Platforms. - Heinrich Peters; Yozen Liu; Francesco Barbieri; Raiyan Abdul Baten; Sandra C. Matz; Maarten W. Bos (CoRR, 2023)

Sensory substitution can improve decision-making. - Heinrich Peters; Sandra C. Matz; Moran Cerf (Comput. Hum. Behav., 2023)

Social media use is predictable from app sequences: Using LSTM and transformer neural networks to model habitual behavior. - Heinrich Peters; Joseph B. Bayer; Sandra C. Matz; Yikun Chi; Sumer S. Vaid; Gabriella M. Harari (Comput. Hum. Behav., 2024)

Large Language Models Can Infer Personality from Free-Form User Interactions. - Heinrich Peters; Moran Cerf; Sandra C. Matz (CoRR, 2024)

Do Large Language Models Understand Verbal Indicators of Romantic Attraction? - Sandra C. Matz; Heinrich Peters; Paul W. Eastwick; Moran Cerf; Eli J. Finkel (CoRR, 2024)

Modeling User Engagement on Online Social Platforms - A Context-Aware Machine Learning Approach - Heinrich Peters (2024)

Generalizable Error Modeling for Human Data Annotation: Evidence From an Industry-Scale Search Data Annotation Program. - Heinrich Peters; Alireza Hashemi; James Rae (ACM J. Data Inf. Qual., 2024)