11 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
7 papers
Gene set proximity analysis: expanding gene set enrichment analysis through learned geometric embeddings
Henry Cousins, Taryn Hall, Yinglong Guo +4
Gene set analysis methods rely on knowledge-based representations of genetic interactions in the form of both gene set collections and protein-protein interaction (PPI) networks. E…
Modeling differential rates of aging using routine laboratory data; Implications for morbidity and health care expenditure
Alix Jean Santos, Xavier Eugenio Asuncion, Camille Rivero-Co +4
Aging is a multidimensional process where phenotypes change at varying rates. Longitudinal studies of aging typically involve following a cohort of individuals over the course of s…
Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy
James Mou, Jun Li
Inspired by the progress of the End-to-End approach [1], this paper systematically studies the effects of Number of Filters of convolutional layers on the model prediction accuracy…
Classification of pediatric pneumonia using chest X-rays by functional regression
Md Nazmul Islam
An accurate and prompt diagnosis of pediatric pneumonia is imperative for successful treatment intervention. One approach to diagnose pneumonia cases is using radiographic data. In…
A Preferential Attachment Model for the Stellar Initial Mass Function
Jessi Cisewski-Kehe, Grant Weller, Chad Schafer
Accurate specification of a likelihood function is becoming increasingly difficult in many inference problems in astronomy. As sample sizes resulting from astronomical surveys cont…
Enhanced Multiuser Superposition Transmission through Structured Modulation
Dong Fang, Yu-Chih Huang, Giovanni Geraci +2
The 5G air interface, namely, dynamic multiple access (MA) based on multiuser superposition transmission (MUST) and orthogonal multiple access (OMA), may require complicated schedu…
Similarity Function Tracking using Pairwise Comparisons
Kristjan Greenewald, Stephen Kelley, Brandon Oselio +1
Recent work in distance metric learning has focused on learning transformations of data that best align with specified pairwise similarity and dissimilarity constraints, often supp…