2 papers
cs.CL2019
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis +2
Applying machine learning algorithms to large-scale, text-based corpora (embeddings) presents a unique opportunity to investigate at scale how human semantic knowledge is organized…
q-bio.NC2016
Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions
Marius Cătălin Iordan, Armand Joulin, Diane M. Beck +1
Inter-subject registration of cortical areas is necessary in functional imaging (fMRI) studies for making inferences about equivalent brain function across a population. However, m…