Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Bisakha Ray"'
Publikováno v:
Cancer Informatics, Vol 16 (2017)
The amounts and types of available multimodal tumor data are rapidly increasing, and their integration is critical for fully understanding the underlying cancer biology and personalizing treatment. However, the development of methods for effectively
Externí odkaz:
https://doaj.org/article/bc3de742b9ea4cc989631cc2923f3e2e
Autor:
Bisakha Ray, Sergio Escalera, Michèle Sebag, Evelyne Viegas, Alexander Statnikov, Mehreen Saeed, Isabelle Guyon, Marc Boullé, Lisheng Sun-Hosoya, Hugo Jair Escalante, Wei-Wei Tu, Damir Jajetic, Zhengying Liu
Publikováno v:
Automated Machine Learning ISBN: 9783030053178
Automated Machine Learning
Automated Machine Learning
The ChaLearn AutoML Challenge (The authors are in alphabetical order of last name, except the first author who did most of the writing and the second author who produced most of the numerical analyses and plots.) (NIPS 2015 – ICML 2016) consisted o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f80d74fa8e747770c33f687151728562
https://doi.org/10.1007/978-3-030-05318-5_10
https://doi.org/10.1007/978-3-030-05318-5_10
Autor:
Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Javier Orlandi, Bisakha Ray, Jordi Soriano
This book illustrates the thrust of the scientific community to use machine learning concepts for tackling a complex problem: given time series of neuronal spontaneous activity, which is the underlying connectivity between the neurons in the network?
Autor:
Rumi Chunara, Bisakha Ray
Publikováno v:
Online Journal of Public Health Informatics
Objective To evaluate prediction of laboratory diagnosis of acute respiratory infection (ARI) from participatory data using machine learning models. Introduction ARIs have epidemic and pandemic potential. Prediction of presence of ARIs from individua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2656f956fc5d50294b710d3eeefbe16
https://doi.org/10.5210/ojphi.v9i1.7650
https://doi.org/10.5210/ojphi.v9i1.7650
Autor:
Isabelle Guyon, Javier G. Orlandi, Demian Battaglia, Bisakha Ray, Jordi Soriano, Vincent Lemaire
Publikováno v:
The Springer Series on Challenges in Machine Learning ISBN: 9783319530697
Neural Connectomics Challenge
Neural Connectomics Challenge
This book illustrates the thrust of the scientific community to use machine learning concepts for tackling a complex problem: given time series of neuronal spontaneous activity, which is the underlying connectivity between the neurons in the network?
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1920ec96e3fb5ca5ef5f19304a48662f
https://doi.org/10.1007/978-3-319-53070-3
https://doi.org/10.1007/978-3-319-53070-3
Publikováno v:
Journal of Biomedical Informatics
Graphical abstract
Highlights • Using multiple linked data sources for network inference is common in many domains. • Infectious disease transmission is a key area for multimodal network models. • We identify challenges in existing multimo
Highlights • Using multiple linked data sources for network inference is common in many domains. • Infectious disease transmission is a key area for multimodal network models. • We identify challenges in existing multimo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1748cc0c1603e4fb0c953accb92e3a47
https://pubmed.ncbi.nlm.nih.gov/27612975
https://pubmed.ncbi.nlm.nih.gov/27612975
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2015
Brain science is a frontier research area with great promise for understanding, preventing, and treating multiple diseases affecting millions of patients. Its key task of reconstructing neuronal brain connectivity poses unique Big Data Analysis chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c57ed9aee3b62fcd80a8e4373ce45c3a
https://pubmed.ncbi.nlm.nih.gov/26958304
https://pubmed.ncbi.nlm.nih.gov/26958304
Autor:
Bisakha Ray
Publikováno v:
ICHI
There are several publicly accessible patient forums where patients can post questions related to their health conditions. The objective of this study was to develop a query-retrieval system that can mine such forums and identify existing questions m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3441c6bf90612a7ab8c5188f10309cc6
https://doi.org/10.1109/ichi.2015.100
https://doi.org/10.1109/ichi.2015.100
Publikováno v:
ICHI
A lack of recruitment of appropriate subjects plagues most clinical research trials. One barrier is an efficient way to identify eligible subjects. Researchers worked to harness computing power to improve automated identification of potential subject
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::391be9a935e980bae4670408e0a345b4
https://doi.org/10.1109/ichi.2015.9
https://doi.org/10.1109/ichi.2015.9
Autor:
Marge Benham-Hutchins, Dmitriy Shin, Mark A. Hoffman, Radhakrishnan Nagarajan, Matthew K. Breitenstein, Paul Avillach, Shyam Visweswaran, Xia Jiang, Zhongming Zhao, Erin L. Crowgey, John E. Mattison, Jessica D. Tenenbaum, Subha Madhavan, Bisakha Ray, Robert R. Freimuth
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
The recent announcement of the Precision Medicine Initiative by President Obama has brought precision medicine (PM) to the forefront for healthcare providers, researchers, regulators, innovators, and funders alike. As technologies continue to evolve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d382d1e4bc4a7a57137fbcfdf2e3fb16
https://pubmed.ncbi.nlm.nih.gov/27107452
https://pubmed.ncbi.nlm.nih.gov/27107452