Zobrazeno 1 - 10
of 253
pro vyhledávání: '"James A. Hendler"'
Autor:
Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Jamie McCusker, Jade S. Franklin, Miao Qi, Kristin P. Bennett, Ching-Hua Chen, James A. Hendler, Deborah L. McGuinness
Publikováno v:
Journal of Biomedical Semantics, Vol 14, Iss 1, Pp 1-21 (2023)
Abstract Background Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommendations are typically
Externí odkaz:
https://doaj.org/article/cc6c7847463844f48a407c9bd6e833e9
Autor:
Bhanushee Sharma, Vijil Chenthamarakshan, Amit Dhurandhar, Shiranee Pereira, James A. Hendler, Jonathan S. Dordick, Payel Das
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Explainable machine learning for molecular toxicity prediction is a promising approach for efficient drug development and chemical safety. A predictive ML model of toxicity can reduce experimental cost and time while mitigating ethical conce
Externí odkaz:
https://doaj.org/article/90011f1b0e144c0483392cab2a7862e4
Semiautomated process for generating knowledge graphs for marginalized community doctoral-recipients
Publikováno v:
International Journal of Web Information Systems. 18:413-431
Purpose This paper aims to describe the “InDO: Institute Demographic Ontology” and demonstrates the InDO-based semiautomated process for both generating and extending a knowledge graph to provide a comprehensive resource for marginalized US gradu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5ff2333dac402177a2f89bcc9d8ac05
https://doi.org/10.1108/ijwis-02-2022-0046
https://doi.org/10.1108/ijwis-02-2022-0046
As the World Wide Web continues to expand, it becomes increasingly difficult for users to obtain information efficiently. Because most search engines read format languages such as HTML or SGML, search results reflect formatting tags more than actual
Foreign language acquisition via artificial intelligence and extended reality: design and evaluation
Autor:
James A. Hendler, Hui Su, Yalun Zhou, Houming Zhu, Rahul R. Divekar, Yue Chen, Jonas Braasch, Jaimie Drozdal, Samuel Chabot
Publikováno v:
Computer Assisted Language Learning. 35:2332-2360
Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin to in...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ddc2067f5754345055a9b8bf5e77750
https://doi.org/10.1080/09588221.2021.1879162
https://doi.org/10.1080/09588221.2021.1879162
Publikováno v:
Topics in Cognitive Science. 11:914-917
Nunez et al.'s (2019) negative assessment of the field of cognitive science derives from evaluation criteria that fail to reflect the true nature of the field. In reality, the field is thriving on both the research and educational fronts, and it show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78f74c72b561ef8a0ca5a155c0186a0e
https://doi.org/10.1111/tops.12458
https://doi.org/10.1111/tops.12458
Autor:
Bassem Makni, James A. Hendler
Publikováno v:
Semantic Web. 10:823-862
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccafefa8e64c756af53726f29079239c
https://doi.org/10.3233/sw-190363
https://doi.org/10.3233/sw-190363
Publikováno v:
Data Intelligence, Vol 1, Iss 1, Pp 1-5 (2019)
This journal has at least two major purposes that we hope embrace. First, it will embrace the traditional role of a journal in helping to facilitate the communication of research and best practices in scientific data sharing, especially across discip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dde2cc96b6532167a5e2c418fbb1eabe
https://www.mitpressjournals.org/doi/abs/10.1162/dint_e_00001
https://www.mitpressjournals.org/doi/abs/10.1162/dint_e_00001
Autor:
Prasanna Date, Malik Magdon-Ismail, Christopher D. Carothers, John E. Mitchell, James A. Hendler
Publikováno v:
ICRC
Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large amount of memory owing to double precision floating point learning parameters. Beyond the Moo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e60bcf968da1711d8c104813c4cda630
https://doi.org/10.1109/icrc2020.2020.00018
https://doi.org/10.1109/icrc2020.2020.00018
Publikováno v:
IEEE Transactions on Computational Social Systems. 5:807-815
Virtual worlds present a natural test bed to observe and study the social behaviors of people at a large scale. Analyzing the rich “big data” generated by the activities of players in a virtual world enables us to better understand the online soc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76a474dc28550773342a8634240d11ab
https://doi.org/10.1109/tcss.2018.2862897
https://doi.org/10.1109/tcss.2018.2862897