Normalized K-Means for Noise-Insensitive Multi-Dimensional Feature Learning. - Nicholas Pellegrino; Paul W. Fieguth; Parsin Haji Reza (CoRR, 2022)

Machine Learning Challenges of Biological Factors in Insect Image Data. - Nicholas Pellegrino; Zahra Gharaee; Paul W. Fieguth (CoRR, 2022)

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset. - Zahra Gharaee; ZeMing Gong; Nicholas Pellegrino; Iuliia Zarubiieva; Joakim Bruslund Haurum; Scott C. Lowe; Jaclyn T. A. McKeown; Chris C. Y. Ho; Joschka McLeod; Yi-Yun C. Wei; Jireh Agda; Sujeevan Ratnasingham; et al. (NeurIPS, 2023)

K-Means for noise-insensitive multi-dimensional feature learning. - Nicholas Pellegrino; Paul W. Fieguth; Parsin Haji Reza (Pattern Recognit. Lett., 2023)

BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity. - Zahra Gharaee; Scott C. Lowe; ZeMing Gong; Pablo Millan Arias; Nicholas Pellegrino; Austin T. Wang; Joakim Bruslund Haurum; Iuliia Zarubiieva; Lila Kari; Dirk Steinke; Graham W. Taylor; Paul W. Fieguth; et al. (NeurIPS, 2024)

Particle-Filtering-based Latent Diffusion for Inverse Problems. - Amir Nazemi; Mohammad Hadi Sepanj; Nicholas Pellegrino; Chris Czarnecki; Paul W. Fieguth (CoRR, 2024)

Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review. - Emma Croxford; Yanjun Gao; Nicholas Pellegrino; Karen K. Wong; Graham Wills; Elliot First; Frank J. Liao; Cherodeep Goswami; Brian W. Patterson; Majid Afshar (CoRR, 2024)

Development and validation of the provider documentation summarization quality instrument for large language models. - Emma Croxford; Yanjun Gao; Nicholas Pellegrino; Karen K. Wong; Graham Wills; Elliot First; Miranda Schnier; Kyle Burton; Cris G. Ebby; Jillian Gorskic; Matthew Kalscheur; Samy Khalil; et al. (J. Am. Medical Informatics Assoc., 2025)

Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset. - Anne Fu; Trong Shen; Surain B. Roberts; Weihan Liu; Shruthi Vaidyanathan; Kayley-Jasmin Marchena-Romero; Yuen Yu Phyllis Lam; Kieran Shah; Denise Y. F. Mak; Stephen Chin; Seth J. Stern; Radha Koppula; et al. (J. Am. Medical Informatics Assoc., 2025)