Nicholas Pellegrino

According to our database, Nicholas Pellegrino authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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