Machine learning activation energies of chemical reactions

T Lewis‐Atwell, PA Townsend… - Wiley Interdisciplinary …, 2022 - Wiley Online Library
Application of machine learning (ML) to the prediction of reaction activation barriers is a new
and exciting field for these algorithms. The works covered here are specifically those in …

[PDF][PDF] Machine learning and big data in the impact literature. A bibliometric review with scientific map** in web of science

JL Belmonte, A Segura-Robles, AJ Moreno-Guerrero… - Symmetry, 2020 - researchgate.net
Combined use of machine learning and large data allows us to analyze data and find
explanatory models that would not be possible with traditional techniques, which is basic …

Get out the vote: Determining support or opposition from Congressional floor-debate transcripts

M Thomas, B Pang, L Lee - ar** in Web of Science
J López Belmonte, A Segura-Robles… - Symmetry, 2020 - mdpi.com
Combined use of machine learning and large data allows us to analyze data and find
explanatory models that would not be possible with traditional techniques, which is basic …

[HTML][HTML] Enhancing optimized personalized therapy in clinical decision support system using natural language processing

BN Hiremath, MM Patil - Journal of King Saud University-Computer and …, 2022 - Elsevier
Sentiment analysis is the process of identifying and categorising the opinions expressed by
human utterances through computational techniques using natural language processing …