Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Michael Truong"'
Publikováno v:
Digital Health, Vol 10 (2024)
Background Risky health behaviors place an enormous toll on public health systems. While relapse prevention support is integrated with most behavior modification programs, the results are suboptimal. Recent advances in artificial intelligence (AI) ap
Externí odkaz:
https://doaj.org/article/0b67f3f174cd4a0380db015a448fba9c
Large Language Models (LLMs) have pushed the frontier of artificial intelligence but are comprised of hundreds of billions of parameters and operations. For faster inference latency, LLMs are deployed on multiple hardware accelerators through various
Externí odkaz:
http://arxiv.org/abs/2411.09510
Autor:
Michael Truong, Madhura S. Rane, Sabina Govere, Sean R. Galagan, Mahomed-Yunus Moosa, Ann Vander Stoep, Connie Celum, Paul K. Drain
Publikováno v:
EClinicalMedicine, Vol 31, Iss , Pp 100621- (2021)
Background: Since mental health may influence HIV care among people living with HIV (PLHIV), we sought to evaluate the impact of anxiety and depression on ART initiation and HIV-related outcomes. Methods: We conducted a prospective cohort study of PL
Externí odkaz:
https://doaj.org/article/d954594671fa4e3dac45924167f50f1b
Semantic Embeddings are a popular way to represent knowledge in the field of zero-shot learning. We observe their interpretability and discuss their potential utility in a safety-critical context. Concretely, we propose to use them to add introspecti
Externí odkaz:
http://arxiv.org/abs/1905.07733
Autor:
Kessler, Tobias, Bernhard, Julian, Buechel, Martin, Esterle, Klemens, Hart, Patrick, Malovetz, Daniel, Le, Michael Truong, Diehl, Frederik, Brunner, Thomas, Knoll, Alois
Although many research vehicle platforms for autonomous driving have been built in the past, hardware design, source code and lessons learned have not been made available for the next generation of demonstrators. This raises the efforts for the resea
Externí odkaz:
http://arxiv.org/abs/1905.02980
By interpreting a traffic scene as a graph of interacting vehicles, we gain a flexible abstract representation which allows us to apply Graph Neural Network (GNN) models for traffic prediction. These naturally take interaction between traffic partici
Externí odkaz:
http://arxiv.org/abs/1903.01254
We consider adversarial examples for image classification in the black-box decision-based setting. Here, an attacker cannot access confidence scores, but only the final label. Most attacks for this scenario are either unreliable or inefficient. Focus
Externí odkaz:
http://arxiv.org/abs/1812.09803
Autor:
Leah Buechley, Alyshia Bustos, Eleonora Edreva, Tyler Fenske, Reuben Fresquez, Samuel Hafer, Aislinn Handey, Michelle Louie, John Ng, Alan Shen, Randi Smith, Amber Sustaita, Michael Truong, Kai Vallon, Kage Micaiah Weiss
Publikováno v:
Symposium on Computational Fabrication.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::008f3cb8bc07402194ddda8a7c0e210a
https://doi.org/10.1145/3559400.3562006
https://doi.org/10.1145/3559400.3562006
Autor:
Michael, Truong, Susan H, Fenton
Publikováno v:
Perspect Health Inf Manag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::652a112c5f6606f68d89ef5bba536e0b
https://pubmed.ncbi.nlm.nih.gov/35692852
https://pubmed.ncbi.nlm.nih.gov/35692852
Publikováno v:
Pothoulakis, G, Nguyen, M T A & Andersen, E S 2022, ' Utilizing RNA origami scaffolds in Saccharomyces cerevisiae for dCas9-mediated transcriptional control ', Nucleic Acids Research, vol. 50, no. 12, pp. 7176-7187 . https://doi.org/10.1093/nar/gkac470
Designer RNA scaffolds constitute a promising tool for synthetic biology, as they can be genetically expressed to perform specific functions in vivo such as scaffolding enzymatic cascades and regulating gene expression through CRISPR-dCas9 applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::257530314992a217de992161d11d4cf3
https://pubmed.ncbi.nlm.nih.gov/35648481
https://pubmed.ncbi.nlm.nih.gov/35648481