9 citations · 12 across the 11 of their papers we have counts for
3 papers · 1 filter
Machine Learning Challenges of Biological Factors in Insect Image Data
Nicholas Pellegrino, Zahra Gharaee, Paul Fieguth
The BIOSCAN project, led by the International Barcode of Life Consortium, seeks to study changes in biodiversity on a global scale. One component of the project is focused on study…
Time-domain feature extraction for target-specificity in Photoacoustic Remote Sensing Microscopy
Nicholas Pellegrino, Benjamin R. Ecclestone, Paul Fieguth +1
Photoacoustic Remote Sensing (PARS) microscopy is an emerging label-free optical absorption imaging modality. PARS operates by capturing nanosecond-scale optical perturbations gene…
K-Means for Noise-Insensitive Multi-Dimensional Feature Learning
Nicholas Pellegrino, Paul Fieguth, Parsin Haji Reza
Many measurement modalities which perform imaging by probing an object pixel-by-pixel, such as via Photoacoustic Microscopy, produce a multi-dimensional feature (typically a time-d…