Results 1 to 10 of about 7,118,076 (333)

FinLex: An effective use of word embeddings for financial lexicon generation

Journal of Finance and Data Science, 2022
We present a simple and effective methodology for the generation of lexicons (word lists) that may be used in natural language scoring applications. In particular, in the finance industry, word lists have become ubiquitous for sentiment scoring.
Sanjiv R. Das, Michele Donini, Muhammad Bilal Zafar, John He, Krishnaram Kenthapadi   +4 more
doaj   +1 more source

Bounding the Number of Minimal Transversals in Tripartite 3-Uniform Hypergraphs [PDF]

Discrete Mathematics & Theoretical Computer Science, 2023
We focus on the maximum number of minimal transversals in 3-partite 3-uniform hypergraphs on n vertices. Those hypergraphs (and their minimal transversals) are commonly found in database applications.
Alexandre Bazin, Laurent Beaudou, Giacomo Kahn, Kaveh Khoshkhah   +3 more
doaj   +1 more source

Development and integration of VGG and dense transfer-learning systems supported with diverse lung images for discovery of the Coronavirus identity

Informatics in Medicine Unlocked, 2022
The contagious SARS-CoV-2 has had a tremendous impact on the life and health of many communities. It was first rampant in early 2019 and so far, 539 million cases of COVID-19 have been reported worldwide.
Wael Abdulsalam Hamwi, Muhammad Mazen Almustafa   +1 more
doaj   +1 more source

LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction

Scientific Reports, 2022
Proteins perform many essential functions in biological systems and can be successfully developed as bio-therapeutics. It is invaluable to be able to predict their properties based on a proposed sequence and structure. In this study, we developed a novel
Zichen Wang, Steven A. Combs, Ryan Brand, Miguel Romero Calvo, Panpan Xu, George Price, Nataliya Golovach, Emmanuel O. Salawu, Colby J. Wise, Sri Priya Ponnapalli, Peter M. Clark   +10 more
doaj   +1 more source

Brain webs for brane webs

Physics Letters B, 2022
We propose a new technique for classifying 5d Superconformal Field Theories arising from brane webs in Type IIB String Theory, using technology from Machine Learning to identify different webs giving rise to the same theory. We concentrate on webs with three external legs, for which the problem is analogous to that of classifying sets of 7-branes ...
Arias-Tamargo, G., He, Y-H., Heyes, E., Hirst, E., Rodriguez-Gomez, D.   +4 more
openaire   +6 more sources

Full Diacritization of the Arabic Text to Improve Screen Readers for the Visually Impaired

Advances in Human-Computer Interaction, 2022
This paper aims to find the relationship between the full diacritization of the Arabic text and the quality of the speech synthesized in screen readers and presents a new methodology to develop screen readers for the visually impaired, focusing on ...
Batool Abuali, Mohamad-Bassam Kurdy
doaj   +1 more source

A knowledge graph of clinical trials ( $$\mathop {\mathtt {CTKG}}\limits$$ CTKG )

Scientific Reports, 2022
Effective and successful clinical trials are essential in developing new drugs and advancing new treatments. However, clinical trials are very expensive and easy to fail.
Ziqi Chen, Bo Peng, Vassilis N. Ioannidis, Mufei Li, George Karypis, Xia Ning   +5 more
doaj   +1 more source

Medical abortion at 13 or more weeks gestation provided through telemedicine: A retrospective review of services

Contraception: X, 2021
Objectives: To evaluate medical abortion effectiveness and safety in women at 13 or more weeks gestation provided care through Women on Web's telemedicine service.
Nathalie Kapp, Kathryn Andersen, Risa Griffin, Amalia Puri Handayani, Marlies Schellekens, Rebecca Gomperts   +5 more
doaj   +1 more source

Recommendations to Improve Downloads of Large Earth Observation Data

Data Science Journal, 2018
With the volume of Earth observation data expanding rapidly, cloud computing is quickly changing the way these data are processed, analyzed, and visualized.
Rahul Ramachandran, Christopher Lynnes, Kathleen Baynes, Kevin Murphy, Jamie Baker, Jamie Kinney, Ariel Gold, Jed Sundwall, Mark Korver, Allison Lieber, William Vambenepe, Matthew Hancher, Rebecca Moore, Tyler Erickson, Josh Henretig, Brant Zwiefel, Heather Patrick-Ahlstrom, Matthew J. Smith   +17 more
doaj   +1 more source

You Don’t Need Labeled Data for Open-Book Question Answering

Applied Sciences, 2021
Open-book question answering is a subset of question answering (QA) tasks where the system aims to find answers in a given set of documents (open-book) and common knowledge about a topic.
Sia Gholami, Mehdi Noori
doaj   +1 more source