Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Robin D. Morris"'
Autor:
Sarah V. Clark, Theodore D. Satterthwaite, Tricia Z. King, Robin D. Morris, Elaheh Zendehrouh, Jessica A. Turner
Publikováno v:
Developmental Cognitive Neuroscience, Vol 56, Iss , Pp 101129- (2022)
Posterior cerebellar lobules are active during executive function (EF) tasks and are functionally connected to EF-associated cortical networks such as the fronto-parietal network (FPN) and cingulo-opercular network (CON). Despite evidence that EF and
Externí odkaz:
https://doaj.org/article/8cfe29d2036d4a569c2901e4f3fb63d6
Autor:
Noam Siegelman, Jay G. Rueckl, Jason Chor Ming Lo, Devin M. Kearns, Robin D. Morris, Donald L. Compton
Publikováno v:
Journal of experimental psychology. Learning, memory, and cognition. 48(6)
Statistical views of reading highlight the link between proficient literacy and the assimilation of various regularities embedded in writing systems, including those in the mapping between print and meaning. Still, orthographic-semantic (O-S) regular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb696c18e85250aa89809667f12e93ca
https://pubmed.ncbi.nlm.nih.gov/35084923
https://pubmed.ncbi.nlm.nih.gov/35084923
Autor:
Maureen W. Lovett, Jan C. Frijters, Karen A. Steinbach, Maria De Palma, Léa Lacerenza, Maryanne Wolf, Rose A. Sevcik, Robin D. Morris
Publikováno v:
Learning and Individual Differences. 100:102224
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::528451cea1b0e1c40e03441269e54e16
https://doi.org/10.1016/j.lindif.2022.102224
https://doi.org/10.1016/j.lindif.2022.102224
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 62:3-24
Summary This work is concerned with the vulnerability of spaceborne microelectronics to single-event upset, which is a change of state caused by high-energy charged particles in the solar wind or the cosmic ray environment striking a sensitive node.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ff6231d30e23fa8384dd88842b2518
https://doi.org/10.1111/j.1467-9876.2012.01052.x
https://doi.org/10.1111/j.1467-9876.2012.01052.x
Autor:
Robin D. Morris
Publikováno v:
TechTrends. 55:42-46
The impact of Web 3.0, also known as the Semantic Web, on online learning is yet to be determined as the Semantic Web and its technologies continue to develop. Online instructors must have a rudimentary understanding of Web 3.0 to prepare for the nex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9a6d2e62cc0c7e37a900d0796b3f423
https://doi.org/10.1007/s11528-011-0469-9
https://doi.org/10.1007/s11528-011-0469-9
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 46:4062-4074
Process models are widely used tools, both for studying fundamental processes themselves and as elements of larger system studies. A radiative transfer model (RTM) simulates the interaction of light with a medium. We are interested in RTMs that model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdfca71b560071b0748e1e1c959e8020
https://doi.org/10.1109/tgrs.2008.2002026
https://doi.org/10.1109/tgrs.2008.2002026
Publikováno v:
IEEE Transactions on Signal Processing. 55:1927-1939
A fundamental problem when locating sensors in a network is to estimate the distance between pairs of sensors. This paper considers a variety of time-of-arrival and phase-shift approaches that use bidirectional signaling to bypass the need for accura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23cbb8c64b1d1e30974954d6b10ae7d9
https://doi.org/10.1109/tsp.2006.889406
https://doi.org/10.1109/tsp.2006.889406
Publikováno v:
MMSP
Deep Neural Networks (DNN) are now the state-of-the-art for many image and object recognition tasks, as illustrated by their performance on standard benchmarks. The success of DNNs is attributed to their ability to learn rich mid-level image represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdde2c402cf42b9cd50b7e5e6f9712f2
https://doi.org/10.1109/mmsp.2015.7340859
https://doi.org/10.1109/mmsp.2015.7340859
Autor:
Jing Zhou, Narayan Bhamidipati, Robin D. Morris, Vladan Radosavljevic, Nemanja Djuric, Mihajlo Grbovic
Publikováno v:
WWW (Companion Volume)
We address the problem of hate speech detection in online user comments. Hate speech, defined as an "abusive speech targeting specific group characteristics, such as ethnicity, religion, or gender", is an important problem plaguing websites that allo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dcc0fa172653bccb54e3554894b40f2
https://doi.org/10.1145/2740908.2742760
https://doi.org/10.1145/2740908.2742760
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 13:275-285
This paper presents and compares two methods of tracking the beat in musical performances, one based on a Bayesian decision framework and the other a gradient strategy. The techniques can be applied directly to a digitized performance (i.e., a soundf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da27f9c8228d77863438d2297a2a9cfa
https://doi.org/10.1109/tsa.2004.841053
https://doi.org/10.1109/tsa.2004.841053