Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Russell Greiner"'
Publikováno v:
BIBE
It is critical to know what brain regions are affected by an ischemic stroke, as this enables doctors to make more effective decisions about stroke patient therapy. These regions are often identified by segmenting computed tomography perfusion (CTP)
Publikováno v:
ICSME
Inefficient mobile software kills battery life. Yet, developers lack the tools necessary to detect and solve energy bugs in software. In addition, developers are usually tasked with the creation of software features and triaging existing bugs. This m
Autor:
Russell Greiner, Luke Kumar, Mohomed Shazan Mohomed Jabbar, Shaiful Alam Chowdhury, Varun Sapra, Abram Hindle, Md. Toukir Imam, Karan Aggarwal
Publikováno v:
IGSC
The first challenge to develop an energy efficient application is to measure the application's energy consumption, which requires sophisticated hardware infrastructure and significant amounts of developers' time. Models and tools that estimate softwa
Autor:
Eleni Stroulia, Russell Greiner, Finbarr Timbers, Karan Aggarwal, Tanner Rutgers, Abram Hindle
Publikováno v:
SANER
In previous work by Alipour et al., a methodology was proposed for detecting duplicate bug reports by comparing the textual content of bug reports to subject-specific contextual material, namely lists of software-engineering terms, such as non-functi
Publikováno v:
ICMLA
There is increased interest in using patient-specific information to personalize treatment. Personalized treatment decision rules can be learned using data from standard clinical trials, but such trials are very costly to run. This paper explores the
Autor:
Russell Greiner, Sheehan Khan
Publikováno v:
BIBM
This paper presents the budgeted transcript discovery problem (BTD): deciding how to spend a given research budget collecting data, using a combination of microarrays and PCRs, to discover which transcripts are differentially expressed with respect t
Publikováno v:
ICIP
COnvergence INdex (COIN) filter, a successful tool for cell localization, evaluates the degree of convergence of the gradient vectors within the neighborhood (region of support) toward a pixel of interest. All previous efforts were to increase the ad
Publikováno v:
2013 International Conference on Electrical Information and Communication Technology (EICT).
Native Language Identification (NLI) is the task of identifying the native language of an author of a text written in a second language. Support Vector Machines and Maximum Entropy Learners are the most common methods used to solve this problem, but
Autor:
Sheehan Khan, Russell Greiner
Publikováno v:
ICDM Workshops
This paper explores the challenge of efficiently collecting data to find which genes (from a given set of candidates) are differentially expressed. We consider several algorithms for this task, including some that assume there are only two types of g
Publikováno v:
EMBC
One can find in the literature numerous techniques to reduce noise in Magnetic Resonance Images (MRI). This paper critically reviews modern de-noising algorithms (Gaussian filter, anisotropic diffusion, wavelet, and non-local mean) in terms of their