Nicholas Pellegrino

According to our database, Nicholas Pellegrino authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Particle-Filtering-based Latent Diffusion for Inverse Problems.

Amir Nazemi, Mohammad Hadi Sepanj, Nicholas Pellegrino, Chris Czarnecki, Paul W. Fieguth

CoRR, 2024

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, Angel X. Chang

CoRR, 2024

2023

K-Means for noise-insensitive multi-dimensional feature learning.

Nicholas Pellegrino, Paul W. Fieguth, Parsin Haji Reza

Pattern Recognit. Lett., 2023

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, Dirk Steinke, Angel X. Chang, Graham W. Taylor, Paul W. Fieguth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Machine Learning Challenges of Biological Factors in Insect Image Data.

Nicholas Pellegrino, Zahra Gharaee, Paul W. Fieguth

CoRR, 2022

Normalized K-Means for Noise-Insensitive Multi-Dimensional Feature Learning.

Nicholas Pellegrino, Paul W. Fieguth, Parsin Haji Reza

CoRR, 2022