activity
20202022
most citedFeature Selection on Lyme Disease Patient Survey Data

1 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 1 cited

Automatic Infectious Disease Classification Analysis with Concept Discovery

Elena Sizikova, Joshua Vendrow, Xu Cao +13

Automatic infectious disease classification from images can facilitate needed medical diagnoses. Such an approach can identify diseases, like tuberculosis, which remain under-diagn…

cs.LG2021

A Generalized Hierarchical Nonnegative Tensor Decomposition

Joshua Vendrow, Jamie Haddock, Deanna Needell

Nonnegative matrix factorization (NMF) has found many applications including topic modeling and document analysis. Hierarchical NMF (HNMF) variants are able to learn topics at vari…

cs.LG2021★ 1 cited

Analysis of Legal Documents via Non-negative Matrix Factorization Methods

Ryan Budahazy, Lu Cheng, Yihuan Huang +7

The California Innocence Project (CIP), a clinical law school program aiming to free wrongfully convicted prisoners, evaluates thousands of mails containing new requests for assist…

cs.LG2020

On a Guided Nonnegative Matrix Factorization

Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova +1

Fully unsupervised topic models have found fantastic success in document clustering and classification. However, these models often suffer from the tendency to learn less-than-mean…

cs.CY2020★ 1 cited

Feature Selection on Lyme Disease Patient Survey Data

Joshua Vendrow, Jamie Haddock, Deanna Needell +1

Lyme disease is a rapidly growing illness that remains poorly understood within the medical community. Critical questions about when and why patients respond to treatment or stay i…