Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Michael Persin"'
Autor:
Jeanette Bennett, Benjamin Gordon, Ebony Gaillard, Maria Alessi, Brittany Price, Jenna Kachmarik, Michael Persin, Leslie Snapper, Joseph Marino, Reuben Howden
Publikováno v:
Brain, Behavior, and Immunity. 106:31
Autor:
Michael Persin, Allyson M Coldiron, Michael D. Barnett, Hannah Sasser, Emma Barr, Glover T, Danielle R. Hardesty, Carmen Chek, Thomas D. Parsons
Publikováno v:
Archives of Clinical Neuropsychology. 36:1052-1052
Background/Problem Neuropsychologists are often asked to evaluate patients’ functional capacities, yet traditional neuropsychological tests have limited correspondence with real-world outcomes. The Virtual Environment Grocery store (VEGS) is a virt
Autor:
Lucas G Childers, Danielle R. Hardesty, Nancy Tran, Jenna M. Moore, Michael Persin, Lee D, Michael D. Barnett, Thomas D. Parsons, Cameron Bayer
Publikováno v:
Archives of Clinical Neuropsychology. 36:1223-1223
Objective Virtual reality-based neuropsychological tests offer the ability to capture a variety of data while enabling standardized administration. The purpose of this study was to create an artificial neural network to examine the predictability of
Publikováno v:
Journal of the American Society for Information Science. 47:749-764
Publikováno v:
J, Vol 3, Iss 1, Pp 79-89 (2020)
Some species of fish show highly evolved mechanisms by which they can detect exogenous electric and magnetic fields. The detection of electromagnetic fields has been hypothesized to exist in humans, despite the lack of specialized sensors. In this ex
Externí odkaz:
https://doaj.org/article/fb15d897be5c44178fa4605cf3e380fd
Autor:
Michael Persin
Publikováno v:
SIGIR ’94 ISBN: 9783540198895
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b4e148191260fede4a8befaf20b91cc
https://doi.org/10.1007/978-1-4471-2099-5_35
https://doi.org/10.1007/978-1-4471-2099-5_35
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540581833
ADB
ADB
For large document databases, evaluation of ranked queries can be expensive in cpu time, memory usage, and disk traffic. It has been shown that memory usage can be dramatically reduced by use of a simple filtering heuristic that eliminates most docum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9ffd7e305e8082d9c2c87990c982f8d
https://doi.org/10.1007/3-540-58183-9_53
https://doi.org/10.1007/3-540-58183-9_53