output
20062025
most citedA Highly Magnified Star at Redshift 6.2

134 citations

6 papers

cs.CL2025★ 3 cited

A Robust Classification Method using Hybrid Word Embedding for Early Diagnosis of Alzheimer's Disease

Yangyang Li

Early detection of Alzheimer's Disease (AD) is greatly beneficial to AD patients, leading to early treatments that lessen symptoms and alleviating financial burden of health care.…

astro-ph.GA2022★ 134 cited

A Highly Magnified Star at Redshift 6.2

Brian Welch, Dan Coe, Jose M. Diego +26

Galaxy clusters magnify background objects through strong gravitational lensing. Typical magnifications for lensed galaxies are factors of a few but can also be as high as tens or…

eess.SY2017

Stochastic Flow Models with Delays and Applications to Multi-Intersection Traffic Light Control

Rui Chen, Christos G. Cassandras

We extend Stochastic Flow Models (SFMs), used for a large class of discrete event and hybrid systems, by including the delays which typically arise in flow movement. We apply this…

math.OC2016

Solving A Class of Discrete Event Simulation-based Optimization Problems Using "Optimality in Probability"

Jianfeng Mao, Christos G. Cassandras

We approach a class of discrete event simulation-based optimization problems using optimality in probability, an approach which yields what is termed a "champion solution". Compare…

math.CO2012★ 18 cited

Counting matrices over finite fields with support on skew Young diagrams and complements of Rothe diagrams

Aaron J. Klein, Joel Brewster Lewis, Alejandro H. Morales

We consider the problem of finding the number of matrices over a finite field with a certain rank and with support that avoids a subset of the entries. These matrices are a q-analo…

astro-ph2006★ 19 cited

Initial Results from the USNO Dispersed Fourier Transform Spectrograph

Arsen R. Hajian, Bradford B. Behr, Andrew T. Cenko +15

We have designed and constructed a ``dispersed Fourier Transform Spectrometer'' (dFTS), consisting of a conventional FTS followed by a grating spectrometer. By combining these two…