output
20182023
most citedToward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting

70 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

cs.CL2023★ 2 cited

Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description

Carla Agurto, Guillermo Cecchi, Bo Wen +4

Amyotrophic lateral sclerosis is a fatal disease that not only affects movement, speech, and breath but also cognition. Recent studies have focused on the use of language analysis…

cs.LG2023★ 70 cited

Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting

Hamzeh Ghasemzadeh, Robert E. Hillman, Daryush D. Mehta

This study's first purpose is to provide quantitative evidence that would incentivize researchers to instead use the more robust method of nested cross-validation. The second purpo…

cs.CY2021★ 3 cited

The application of adaptive minimum match k-nearest neighbors to identify at-risk students in health professions education

Anshul Kumar, Taylor DiJohnson, Roger Edwards +1

Purpose: When a learner fails to reach a milestone, educators often wonder if there had been any warning signs that could have allowed them to intervene sooner. Machine learning ca…

cs.CV2018★ 17 cited

A Sparse Non-negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior from MRI

Jonghye Woo, Jerry L. Prince, Maureen Stone +8

Muscle coordination patterns of lingual behaviors are synergies generated by deforming local muscle groups in a variety of ways. Functional units are functional muscle groups of lo…