Výsledky vyhledávání - "Connor Short"

Correction for Ferrero et al., 'Antibody-Based Inhibition of Pathogenic New World Hemorrhagic Fever Mammarenaviruses by Steric Occlusion of the Human Transferrin Receptor 1 Apical Domain'

Autor: Sol Ferrero, Maria D. Flores, Connor Short, Cecilia A. Vazquez, Lars E. Clark, James Ziegenbein, Samantha Zink, Daniel Fuentes, Cristian Payes, María V. Batto, Michael Collazo, Cybele C. García, Jonathan Abraham, Sandra M. Cordo, Jose A. Rodriguez, Gustavo Helguera

Publikováno v: Journal of Virology. 96

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3f8ddc4efb8996de5851c15f8978536
https://doi.org/10.1128/jvi.02163-21

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Akademický článek

Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida

Autor: Debarshi Datta, Safiya George Dalmida, Laurie Martinez, David Newman, Javad Hashemi, Taghi M. Khoshgoftaar, Connor Shorten, Candice Sareli, Paula Eckardt

Publikováno v: Frontiers in Digital Health, Vol 5 (2023)

IntroductionThe SARS-CoV-2 (COVID-19) pandemic has created substantial health and economic burdens in the US and worldwide. As new variants continuously emerge, predicting critical clinical events in the context of relevant individual risks is a prom

Externí odkaz: https://doaj.org/article/cb5d183f05ea4f0da3018a0b724810f0

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Akademický článek

Text Data Augmentation for Deep Learning

Autor: Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht

Publikováno v: Journal of Big Data, Vol 8, Iss 1, Pp 1-34 (2021)

Abstract Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. In this survey, we consider how the Data Augmentation training strategy can aid in its development. We begin with the major motifs of Data Augmen

Externí odkaz: https://doaj.org/article/797a271024d345ae951759374b9042e2

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Akademický článek

Deep Learning applications for COVID-19

Autor: Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht

Publikováno v: Journal of Big Data, Vol 8, Iss 1, Pp 1-54 (2021)

Abstract This survey explores how Deep Learning has battled the COVID-19 pandemic and provides directions for future research on COVID-19. We cover Deep Learning applications in Natural Language Processing, Computer Vision, Life Sciences, and Epidemi

Externí odkaz: https://doaj.org/article/d4a02804c5ad4d3dbd22238da4508cdb

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Akademický článek

A survey on Image Data Augmentation for Deep Learning

Autor: Connor Shorten, Taghi M. Khoshgoftaar

Publikováno v: Journal of Big Data, Vol 6, Iss 1, Pp 1-48 (2019)

Abstract Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a network learns a funct

Externí odkaz: https://doaj.org/article/677e4d78a94b48aa897a5c41858b1562

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