Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Ram D Sriram"'
Autor:
Peter Bajcsy, Soweon Yoon, Stephen J. Florczyk, Nathan A. Hotaling, Mylene Simon, Piotr M. Szczypinski, Nicholas J. Schaub, Carl G. Simon, Mary Brady, Ram D. Sriram
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-23 (2017)
Abstract Background Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and three types of scaffolds (i.e., spun coat, large mi
Externí odkaz:
https://doaj.org/article/ad192240447c4879b02b94b2cf098b2e
Autor:
Tejaswi Tammareddy, Walid Keyrouz, Ram D. Sriram, Harish C. Pant, Antonio Cardone, Jeffery B. Klauda
Publikováno v:
The journal of physical chemistry. B. 126(27)
The cyclin-dependent kinase (CDK5) forms a stable complex with its activator p25, leading to the hyperphosphorylation of tau proteins and to the formation of plaques and tangles that are considered to be one of the typical causes of Alzheimer's disea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::614fbc3d102027ca64a29e198915d893
https://pubmed.ncbi.nlm.nih.gov/35771127
https://pubmed.ncbi.nlm.nih.gov/35771127
Autor:
Talapady N. Bhat, John Elliot, Ram D. Sriram, Ira Monarch, Jonah Tash, Eswaran Subrahmanian, Jacob Collard
Publikováno v:
Journal of the Indian Institute of Science
This short paper describes a web resource-the NIST CORD-19 Web Resource-for community explorations of the COVID-19 Open Research Dataset (CORD-19). The tools for exploration in the web resource make use of the NIST-developed Root- and Rule-based meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb961eb5fa35f4b11eb108a244fb90c9
https://doi.org/10.1007/s41745-020-00193-2
https://doi.org/10.1007/s41745-020-00193-2
Autor:
Ram D. Sriram, S. Sethu K. Reddy
Publikováno v:
Clinics in Geriatric Medicine. 36:513-525
Diabetes mellitus has become a global threat, especially in the emerging economies. In the United States, there are about 24 million people with diabetes mellitus. Diabetes represents a trove of physiologic and sociologic data that are only superfici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65f987f1cad2fba06ed581db52178672
https://doi.org/10.1016/j.cger.2020.04.009
https://doi.org/10.1016/j.cger.2020.04.009
Autor:
Donna M. Fritzsche, David Whitten, Janet Singer, John F. Sowa, Ram D. Sriram, Ravi Sharma, Gary Berg-Cross, Kenneth Baclawski, Mike Bennett, Mark Underwood
Publikováno v:
Applied Ontology. 15:91-107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46f4691e7fe30d01b49e4eb35a6628d1
https://doi.org/10.3233/ao-200226
https://doi.org/10.3233/ao-200226
Automatic emotion recognition plays a key role in computer-human interaction as it has the potential to enrich the next-generation artificial intelligence with emotional intelligence. It finds applications in customer and/or representative behavior a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb58cde3b2429b362346f76d63ff9591
http://arxiv.org/abs/2202.08974
http://arxiv.org/abs/2202.08974
Publikováno v:
ICMI
Automatic speech emotion recognition (SER) is a challenging task that plays a crucial role in natural human-computer interaction. One of the main challenges in SER is data scarcity, i.e., insufficient amounts of carefully labeled data to build and fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9355688b15111f058a2128f25c192a66
https://doi.org/10.1145/3462244.3481003
https://doi.org/10.1145/3462244.3481003
In this paper we analyze elements of the Unified Modeling Language (UML), specifically the class diagram, and propose an simplified alternative language based on a branch of mathematics called category theory (CT). We argue that modeling in CT provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a02d9b5dcb3fcfbb614ed8e07dba644
https://doi.org/10.6028/nist.ir.8358
https://doi.org/10.6028/nist.ir.8358
This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly complex problems, several challenges have imped