Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Devleena Das"'
Autor:
Ana Isabel Salazar Puerta, PhD, Jon Stranan, MS, Hallie Harris, MS, Nada Khattab, MD, Mana Saffari, MD PhD, Will Lawrence, PhD, Devleena Das, PhD, Jordan Moore, PhD, Dave Arnold, MD, Amy Moore, MD, Daniel Gallego Perez, PhD
Publikováno v:
Plastic and Reconstructive Surgery, Global Open, Vol 12, Iss S4, Pp 27-28 (2024)
Externí odkaz:
https://doaj.org/article/118c3ac000fe4c19ac5ca42b85f72d12
Autor:
Luke R. Lemmerman, Daniel Gallego-Perez, Raghavendra G. Mirmira, Devleena Das, Natalia Higuita-Castro
Publikováno v:
Trends Endocrinol Metab
Traditional methods for diabetes management require constant and tedious glucose monitoring and insulin injections, impacting quality of life. The global diabetic population is expected to increase to 439 million, with approximately USD 490 billion i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fa09924673b99adbe9a3cf635e48590
https://doi.org/10.1016/j.tem.2020.02.001
https://doi.org/10.1016/j.tem.2020.02.001
Intelligent decision support (IDS) systems leverage artificial intelligence techniques to generate recommendations that guide human users through the decision making phases of a task. However, a key challenge is that IDS systems are not perfect, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::867f5a72347ec29ebd40c068915d30ab
http://arxiv.org/abs/2201.04204
http://arxiv.org/abs/2201.04204
Learned knowledge graph representations supporting robots contain a wealth of domain knowledge that drives robot behavior. However, there does not exist an inference reconciliation framework that expresses how a knowledge graph representation affects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2718bb3b339549cb82e268108b71b92
Autor:
Esmaeil Seraj, Kin Man Lee, Zulfiqar Zaidi, Qingyu Xiao, Zhaoxin Li, Arthur Nascimento, Sanne van Waveren, Pradyumna Tambwekar, Rohan Paleja, Devleena Das, Matthew Gombolay
This monograph embarks on a comprehensive exploration of approaches, evaluation methods, and ethical considerations in explainable and interactive systems for robotic applications, distinctly focusing on intelligent systems that are specifically desi
Publikováno v:
HRI
With the growing capabilities of intelligent systems, the integration of robots in our everyday life is increasing. However, when interacting in such complex human environments, the occasional failure of robotic systems is inevitable. The field of ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7af415d8e8b5729107a1d694d0da5d8f
http://arxiv.org/abs/2101.01625
http://arxiv.org/abs/2101.01625
Autor:
Devleena Das, Yasutaka Nishimura, Rajan P. Vivek, Naoto Takeda, Sean T. Fish, Thomas Plötz, Sonia Chernova
Smart home environments are designed to provide services that help improve the quality of life for the occupant via a variety of sensors and actuators installed throughout the space. Many automated actions taken by a smart home are governed by the ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d29cc42428abb5e431669fa9d4272caf
Autor:
Niven R. Narain, Diego Hernández-Saavedra, Katherine R. Wright, Revati S. Dewal, Silvia Duarte-Sanmiguel, Valerie Bussberg, Eaman Abay, Bret H. Goodpaster, Peter J. Arts, Adam C. Lehnig, Mark T. Ziolo, Lisa A. Baer, Richard E. Pratley, Subha V. Raman, Fanchao Yi, Vikram Shettigar, Paul M. Coen, E. Douglas Lewandowski, Devleena Das, Kelsey M. Pinckard, Steven R. Smith, Lauren M. Sparks, Pablo Vidal, Michael A. Kiebish, Loren E. Wold, Kristin I. Stanford, Daniel Gallego-Perez
Publikováno v:
Circulation. 143(2)
Background: Brown adipose tissue (BAT) is an important tissue for thermogenesis, making it a potential target to decrease the risks of obesity, type 2 diabetes, and cardiovascular disease, and recent studies have also identified BAT as an endocrine o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41864b35f604d76ec365882013249fca
https://pubmed.ncbi.nlm.nih.gov/33428434
https://pubmed.ncbi.nlm.nih.gov/33428434
Autor:
Sonia Chernova, Devleena Das
Publikováno v:
IUI
Machine learning (ML) systems across many application areas are increasingly demonstrating performance that is beyond that of humans. In response to the proliferation of such models, the field of Explainable AI (XAI) has sought to develop techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c809101d4ab2531c4dae39ec13a1db8
https://doi.org/10.1145/3377325.3377512
https://doi.org/10.1145/3377325.3377512
Autor:
Michael R. Go, Heather M. Powell, Andre F. Palmer, Daniel Gallego-Perez, Jordan T. Moore, Xiangming Gu, Ludmila Diaz-Starokozheva, Devleena Das, Natalia Higuita-Castro, Ian L. Valerio, Luke R. Lemmerman
Publikováno v:
Cell Mol Bioeng
BACKGROUND: Tissue ischemia contributes to necrosis and infection. While angiogenic cell therapies have emerged as a promising strategy against ischemia, current approaches to cell therapies face multiple hurdles. Recent advances in nuclear reprogram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c1e5e5ef2ca40278da9eb55892b6b7c
https://pubmed.ncbi.nlm.nih.gov/33184576
https://pubmed.ncbi.nlm.nih.gov/33184576