Developing sensing circuits and systems capable of perceiving the physical environment is an essential step toward next-generation cyber-physical… Read more
Searching for scientific documents is a pervasive task among researchers. While most academic search engines, such as Google Scholar, search over… Read more
We present an interactive analysis system to support sequential rule mining (SRM) model builders who work in cancer symptom research. SRM is a… Read more
Cancers that depend on the spatial location of the disease affect all ethnicities, and are diagnosed each year in large numbers in the United States… Read more
DASS Andrew Wentzel, Carla Floricel, G. Elisabeta Marai, G. Canahuate (Universite of Iowa,); M. Naser, A. Mohamed, C.D. Fuller, L. Van Dijk (MD Anderson Cancer Center, University of Texas)
March 1, 2021 - Ongoing
DASS is a visual computing system designed to help scientists build machine learning models that classify head and neck cancer patients into groups… Read more
UIC PI: Andrew Johnson, co-PI: Luc Renambot University of Hawaii Manoa PI: Jason Leigh Virginia Polytechnic PI: Chirstopher North NSF Award Number… Read more
The COMPaaS DLV: Composable Platform as a Service Instrument for Deep Learning & Visualization user community consists of faculty from Physics and… Read more
UIC PI: G.E. Marai University of Delaware PI: H. Shatkay Co-PIs: C. Arighi, C. Kambhamettu, C. Wu
September 14, 2017 - August 31, 2021
This collaborative research project led by the colleagues at the University of Delaware aims to develop and advance tools for using image-data… Read more
