Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ivan Brugere"'
Autor:
Sean D. Mooney, Yuxin Yao, Amhar Jabeer, Timothy Bergquist, Justin Prosser, Adam B. Wilcox, Thomas Schaffter, Jeffrey G. Jarvik, Jifan Gao, Zafer Aydin, Guanhua Chen, Jason Causey, Justin Guinney, Kevin Bryson, Thomas Yu, Ivan Brugere, Yao Yan, Dustin R. Long, Christoph I. Lee
Publikováno v:
JAMA Network Open
Key Points Question What can be learned from a crowdsourced challenge for the prediction of COVID-19 diagnosis and hospitalization? Findings This diagnostic and prognostic study used a model-to-data approach to implement a continuous benchmarking cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c7f6847058a024b4197f98616176a6f
http://europepmc.org/articles/PMC8506231
http://europepmc.org/articles/PMC8506231
Autor:
Thomas Schaffter, Justin Guinney, Renata Retkute, J.H. Choe, Sean D. Mooney, Łukasz Charzewski, Guanhua Chen, Ivan Brugere, Augustinas Prusokas, Justin Prosser, Alidivinas Prusokas, Jifan Gao, Yao Yan, Sang Hoon Lee, Zofia Nawalany, Inggeol Lee, Sunkyu Kim, Timothy Bergquist, Thomas Yu, Jaewoo Kang, Yonghwa Choi
Applications of machine learning in healthcare are of high interest and have the potential to significantly improve patient care. Yet, the real-world accuracy and performance of these models on different patient subpopulations remains unclear. To add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc4aea7db1477008643afd45d90cfe0d
https://doi.org/10.1101/2021.01.18.21250072
https://doi.org/10.1101/2021.01.18.21250072
Publikováno v:
AIES
Disparate access to resources by different subpopulations is a prevalent issue in societal and sociotechnical networks. For example, urban infrastructure networks may enable certain racial groups to more easily access resources such as high-quality s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14073383f10b78cf3ec7bab0a21f182b
Autor:
Ivan Brugere, Tanya Y. Berger-Wolf
Publikováno v:
WWW (Companion Volume)
Networks are fundamental models for data used in practically every application domain. In most instances, several implicit or explicit choices about the network definition impact the translation of underlying data to a network representation, and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::575533ef06119d406972066864a12874
http://arxiv.org/abs/1710.05207
http://arxiv.org/abs/1710.05207
Publikováno v:
ICDM Workshops
Networks are models representing relationships between entities. Often these relationships are explicitly given, or we must learn a representation which generalizes and predicts observed behavior in underlying individual data (e.g. attributes or labe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64a08523eb168f162ab07a6dd2faae51
http://arxiv.org/abs/1708.06303
http://arxiv.org/abs/1708.06303
Networks represent relationships between entities in many complex systems, spanning from online social interactions to biological cell development and brain connectivity. In many cases, relationships between entities are unambiguously known: are two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73d1411374c394a87b4b2c5e73af430c
Autor:
Ivan Brugere
Publikováno v:
ICDM Workshops
Graphs are a fundamental model to describe complex statistical relationships over many scientific domains. In this context, graphs are commonly used to investigate relational phenomena which are not directly observable. Our work formulates a Latent N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf34d26a31370fed59114f0c32c25251
https://doi.org/10.1109/icdmw.2015.224
https://doi.org/10.1109/icdmw.2015.224
Publikováno v:
Encyclopedia of Social Network Analysis and Mining ISBN: 9781461471639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::592f88b6f7e9f7b84838929c1d3292a6
https://doi.org/10.1007/978-1-4614-6170-8_320
https://doi.org/10.1007/978-1-4614-6170-8_320
Publikováno v:
ICDM Workshops
Efficient time series similarity search is a fundamental operation for data exploration and analysis. While previous work has focused on indexing progressively larger datasets and has proposed data structures with efficient exact search algorithms, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70f265c47fd20dfb6679a24442c841bb
https://doi.org/10.1109/icdmw.2012.27
https://doi.org/10.1109/icdmw.2012.27
Autor:
J.D. Stanley, Vijay Chaudhari, Varun Mithal, Sairam Krishnamurthy, Vipin Kumar, Michael Steinbach, Marc T. Dunham, Albert Cho, Sruthi Reddy Vangala, Christopher Potter, Ashish Garg, Juan Carlos Castilla-Rubio, Ivan Brugere, Teji Abraham, Vikrant Krishna, Yashu Chamber, Steven Klooster, Shyam Boriah
Publikováno v:
IGARSS
Land cover change, especially deforestation, is a priority issue for policymakers at the local, national and international scale. Deforestation's contribution of up to 20% of global green-house gas emissions is already well known; the loss of biodive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edfb3778076e99cb3ca0645a1fdd4968
https://doi.org/10.1109/igarss.2011.6049339
https://doi.org/10.1109/igarss.2011.6049339