Fuzzy lexical acquisition of adjectives. - Louis Hickman; Julia M. Taylor; Victor Raskin (NAFIPS/WConSC, 2015)

Direct Object Omission as a Sign of Conceptual Defaultness. - Louis Hickman; Julia M. Taylor; Victor Raskin (FLAIRS, 2016)

Accessing implicit meaning: Towards computational ability to reconstruct textual omissions. - Julia M. Taylor; Victor Raskin; Louis C. Hickman (SMC, 2016)

Studying Politeness across Cultures using English Twitter and Mandarin Weibo. - Mingyang Li; Louis Hickman; Louis Tay; Lyle H. Ungar; Sharath Chandra Guntuku (Proc. ACM Hum. Comput. Interact., 2020)

Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews. - Brandon M. Booth; Louis Hickman; Shree Krishna Subburaj; Louis Tay; Sang Eun Woo; Sidney K. D'Mello (ICMI, 2021)

A Social Media Study on Demographic Differences in Perceived Job Satisfaction. - Koustuv Saha; Asra Yousuf; Louis Hickman; Pranshu Gupta; Louis Tay; Munmun De Choudhury (Proc. ACM Hum. Comput. Interact., 2021)

Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews. - Brandon M. Booth; Louis Hickman; Shree Krishna Subburaj; Louis Tay; Sang Eun Woo; Sidney K. D'Mello (IEEE Signal Process. Mag., 2021)

Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy. - Louis Hickman; Jason Nicholas Kuruzovich; Vincent Ng; Kofi Arhin; Danielle Wilson (CoRR, 2023)

Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation. - Louis Hickman; Christopher Huynh; Jessica Gass; Brandon M. Booth; Jason Kuruzovich; Louis Tay (CoRR, 2024)

Human and LLM-Based Resume Matching: An Observational Study. - Swanand Vaishampayan; Hunter Leary; Yoseph Berhanu Alebachew; Louis Hickman; Brent A Stevenor; Weston Beck; Chris Brown 001 (NAACL (Findings), 2025)