Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Neda Hajiakhoond Bidoki"'
Autor:
Ronald F. DeMara, Julie Donnelly, Edwin Nassiff, Jun Xu, Damla Turgut, Salih Safa Bacanli, Neda Hajiakhoond Bidoki
Publikováno v:
Journal of Educational Technology Systems. 48:464-492
This research developed an approach to integrate the complementary benefits of digitized assessments and peer learning. Its basic premise and associated hypotheses are that by using student assessments of correct and incorrect quiz answers using a fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c0cc879f5d1ce44550b532d83e502eb
https://doi.org/10.1177/0047239520901863
https://doi.org/10.1177/0047239520901863
Autor:
Kenneth Kim, C. Josefina Martinez, Nima Aghaeepour, Nilanjan Mukherjee, Han Chen, Bonnie Bock, Neda Hajiakhoond Bidoki, Sean N. Tucker, David R. McIlwain, David Liebowitz, Jiang Sizun, Julien Hedou, Garry P. Nolan, Nikita S. Kolhatkar, Melton Affrime, Brice Gaudilliere, Zainab Rahil, Zach Bjornson, Angelica Trejo, Christian M. Schürch
Publikováno v:
Cell Host Microbe
Developing new influenza vaccines with improved performance and easier administration routes hinges on defining correlates of protection. Vaccine-elicited cellular correlates of protection for influenza in humans have not yet been demonstrated. A pha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18ccb802c6affaf4c91aa166c7326aa6
https://europepmc.org/articles/PMC8665113/
https://europepmc.org/articles/PMC8665113/
Autor:
Ronald DeMara, Damla Turgut, Edwin Nassiff, Salih Safa Bacanli, Neda Hajiakhoond Bidoki, Jun Xu
Publikováno v:
2018 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbe7ea941f9666e46f5bfe3654019e1b
https://doi.org/10.18260/1-2--29841
https://doi.org/10.18260/1-2--29841
Publikováno v:
Machine Learning and Knowledge Extraction
Volume 2
Issue 2
Pages 8-146
Machine Learning and Knowledge Extraction, Vol 2, Iss 8, Pp 125-146 (2020)
Volume 2
Issue 2
Pages 8-146
Machine Learning and Knowledge Extraction, Vol 2, Iss 8, Pp 125-146 (2020)
This paper explores the value of weak-ties in classifying academic literature with the use of graph convolutional neural networks. Our experiments look at the results of treating weak-ties as if they were strong-ties to determine if that assumption i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c417cdfb0e87a5ce049bcfab4c9abe
In this paper we introduce the concept of network semantic segmentation for social network analysis. We consider the GitHub social coding network which has been a center of attention for both researchers and software developers. Network semantic segm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fc81aae737edb5182ecbb428c1a7c3a
http://arxiv.org/abs/1902.05220
http://arxiv.org/abs/1902.05220
Publikováno v:
2018 International Conference on Computational Science and Computational Intelligence (CSCI).
Social coding platforms, such as GitHub, can serve as natural laboratories for studying the diffusion of innovation through tracking the pattern of code adoption by programmers. This paper focuses on the problem of predicting the popularity of softwa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10cbf21f3a04d7d5d48ace2d2a848cd6
https://doi.org/10.1109/csci46756.2018.00241
https://doi.org/10.1109/csci46756.2018.00241
Publikováno v:
Online Social Networks and Media. 16:100070
The aim of our research is to forecast the propagation of information related to cybersecurity threats and software vulnerabilities on social coding platforms such as GitHub. Users on social coding platforms exhibit repetitive behavior patterns that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72cffba203a1661d17f91b032135d194
https://doi.org/10.1016/j.osnem.2020.100070
https://doi.org/10.1016/j.osnem.2020.100070
Publikováno v:
Information
Volume 10
Issue 12
Volume 10
Issue 12
Burst analysis and prediction is a fundamental problem in social network analysis, since user activities have been shown to have an intrinsically bursty nature. Bursts may also be a signal of topics that are of growing real-world interest. Since burs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c2ab958d49423e1aa0dee5fd2b1ce04
https://doi.org/10.3390/info10120394
https://doi.org/10.3390/info10120394
Publikováno v:
2017 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3df0c79299ad96f9f2f0bff9f5ebd29
https://doi.org/10.18260/1-2--28696
https://doi.org/10.18260/1-2--28696
Publikováno v:
ICC
We consider wireless sensor networks that nodes offload data to a central collector node (sink) via wireless communication. Sensed data are associated with a value, decaying in time. In this scenario, we address the problem of finding the path of sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::187e45a499c2a24cb4a3065d116b5612
https://doi.org/10.1109/icc.2018.8422392
https://doi.org/10.1109/icc.2018.8422392