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pro vyhledávání: '"Tekumalla, Ramya"'
Autor:
Tekumalla, Ramya, Banda, Juan M.
The COVID-19 pandemic has presented significant challenges to the healthcare industry and society as a whole. With the rapid development of COVID-19 vaccines, social media platforms have become a popular medium for discussions on vaccine-related topi
Externí odkaz:
http://arxiv.org/abs/2309.06503
Autor:
Tekumalla, Ramya, Banda, Juan M.
Supervised learning algorithms are heavily reliant on annotated datasets to train machine learning models. However, the curation of the annotated datasets is laborious and time consuming due to the manual effort involved and has become a huge bottlen
Externí odkaz:
http://arxiv.org/abs/2209.12614
Autor:
Tekumalla, Ramya, Banda, Juan M.
Social media is often utilized as a lifeline for communication during natural disasters. Traditionally, natural disaster tweets are filtered from the Twitter stream using the name of the natural disaster and the filtered tweets are sent for human ann
Externí odkaz:
http://arxiv.org/abs/2207.04947
Autor:
Tekumalla, Ramya, Banda, Juan M.
Since the classification of COVID-19 as a global pandemic, there have been many attempts to treat and contain the virus. Although there is no specific antiviral treatment recommended for COVID-19, there are several drugs that can potentially help wit
Externí odkaz:
http://arxiv.org/abs/2007.10276
Autor:
Banda, Juan M., Tekumalla, Ramya, Wang, Guanyu, Yu, Jingyuan, Liu, Tuo, Ding, Yuning, Artemova, Katya, Tutubalina, Elena, Chowell, Gerardo
As the COVID-19 pandemic continues its march around the world, an unprecedented amount of open data is being generated for genetics and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data
Externí odkaz:
http://arxiv.org/abs/2004.03688
Autor:
Tekumalla, Ramya, Banda, Juan M.
With the increase in popularity of deep learning models for natural language processing (NLP) tasks, in the field of Pharmacovigilance, more specifically for the identification of Adverse Drug Reactions (ADRs), there is an inherent need for large-sca
Externí odkaz:
http://arxiv.org/abs/2003.13900
Autor:
Tekumalla, Ramya, Banda, Juan M.
Publikováno v:
Genomics & Informatics 2020; 18(2): e16
There has been a dramatic increase in the popularity of utilizing social media data for research purposes within the biomedical community. In PubMed alone, there have been nearly 2,500 publication entries since 2014 that deal with analyzing social me
Externí odkaz:
http://arxiv.org/abs/2003.13894
Autor:
Tekumalla, Ramya1 (AUTHOR), Banda, Juan M.1 (AUTHOR) jbanda@gsu.edu
Publikováno v:
Neural Computing & Applications. Sep2023, Vol. 35 Issue 25, p18161-18169. 9p.
Akademický článek
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Autor:
Tekumalla, Ramya
This repository contains the manuscript of my Ph.D. dissertation. Here is the abstract of the manuscript. Abstract Over the last decade, advances in machine learning have led to an exponential growth in artificial intelligence i.e., machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1761c019cdd2299dd26f5c663c783758