Zobrazeno 1 - 10
of 125
pro vyhledávání: '"R. Ratto"'
Autor:
Elizabeth A. Pogue, Alexander New, Kyle McElroy, Nam Q. Le, Michael J. Pekala, Ian McCue, Eddie Gienger, Janna Domenico, Elizabeth Hedrick, Tyrel M. McQueen, Brandon Wilfong, Christine D. Piatko, Christopher R. Ratto, Andrew Lennon, Christine Chung, Timothy Montalbano, Gregory Bassen, Christopher D. Stiles
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-8 (2023)
Abstract Discovery of novel materials is slow but necessary for societal progress. Here, we demonstrate a closed-loop machine learning (ML) approach to rapidly explore a large materials search space, accelerating the intentional discovery of supercon
Externí odkaz:
https://doaj.org/article/0f288a1057e2432db4f684a6df63cc72
Publikováno v:
Relaciones de la Sociedad Argentina de Antropología, Vol 46, Iss 2 (2021)
Se presenta un estudio interdisciplinario en la localidad arqueológica de Mishma y su entorno (bolsón de Fiambalá), enfocado en tratar de entender las variaciones ambientales durante el Holoceno tardío. Los objetivos son presentar los principales
Externí odkaz:
https://doaj.org/article/82afaa0136834dfa9725d94b15339545
Autor:
Carlos A. Caceres, Matthew J. Roos, Kyle M. Rupp, Griffin Milsap, Nathan E. Crone, Michael E. Wolmetz, Christopher R. Ratto
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2017)
Dimensionality poses a serious challenge when making predictions from human neuroimaging data. Across imaging modalities, large pools of potential neural features (e.g., responses from particular voxels, electrodes, and temporal windows) have to be r
Externí odkaz:
https://doaj.org/article/44cd86fcba174b11bf0131bf68ca1356
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66d5756ed5c9e7907c6ac72419b601d5
https://doi.org/10.1109/cvprw56347.2022.00421
https://doi.org/10.1109/cvprw56347.2022.00421
Autor:
Christopher R. Ratto, Michael Wolmetz, Ashley J. Llorens, Bart L. Paulhamus, I-Jeng Wang, Kapil D. Katyal
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Recent breakthroughs and rapid progress in AI will impact, if not transform, every mission. JHU/APL developed an AI Technology Roadmap to guide the Laboratory’s contributions to the critical challenges the nation will face developing and implementi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c41fbc131a0346475c4ebd960e24847
https://doi.org/10.1117/12.2593329
https://doi.org/10.1117/12.2593329
Autor:
Izabel Maria R. Ratto
Publikováno v:
Estudos Sociedade e Agricultura, Vol 2, Iss 2 (2013)
O resumo deste artigo não está diponível.
Externí odkaz:
https://doaj.org/article/39fec278c8e64b1cb7b43b3310e84f17
Autor:
Aldana Ameri, Daniela M. Rubira, G.A. Giunta, Roberto R. Favaloro, María F. Renedo, R. Ratto, A.M. Bertolotti, D.O. Absi, Elian F. Giordanino, Liliana E. Favaloro
Publikováno v:
Clinical Transplantation. 34
Background Patients with cardiogenic shock may require hemodynamic stabilization with short-term mechanical circulatory support devices (ST-MCS) such as extracorporeal membrane oxygenation (ECMO) and centrifugal pump (CP) as bridge to transplantion (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aeac0147021922da805328cd5d7549b
https://doi.org/10.1111/ctr.13888
https://doi.org/10.1111/ctr.13888
Autor:
Mark A. Chevillet, Nathan E. Crone, Matthew J. Roos, Michael Wolmetz, Kyle M. Rupp, Griffin Milsap, Christopher R. Ratto, Carlos A. Caceres
Publikováno v:
NeuroImage. 148:318-329
Non-invasive neuroimaging studies have shown that semantic category and attribute information are encoded in neural population activity. Electrocorticography (ECoG) offers several advantages over non-invasive approaches, but the degree to which seman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efb72833dea8e42be71539292cf5b1b5
Publikováno v:
SIGGRAPH Posters
Physics-based models for ocean dynamics and optical raytracing are used extensively for rendering maritime scenes in computer graphics [Darles et al. 2011]. Raytracing models can provide high-fidelity representations of an ocean image with full contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8de1eea30411a7478e7a4de0fab9bae
https://doi.org/10.1145/3306214.3338559
https://doi.org/10.1145/3306214.3338559
Publikováno v:
CISS
Feature selection is a common problem in pattern recognition. Though often motivated by the curse of dimensionality, feature selection also has the added benefit of reducing the cost of extracting features from test data. In this work, sparse probit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45de59bc767b57ae2b37e67071584c71
https://doi.org/10.1109/ciss.2019.8693031
https://doi.org/10.1109/ciss.2019.8693031