Results 11 to 20 of about 8,550,305 (373)
Can Large Language Models Transform Computational Social Science? [PDF]
International Conference on Computational Logic, 2023 Large language models (LLMs) are capable of successfully performing many language processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify and explain social phenomena like persuasiveness and political ideology ...
Caleb Ziems +5 more
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AiiDA: Automated Interactive Infrastructure and Database for Computational Science [PDF]
arXiv.org, 2015 Computational science has seen in the last decades a spectacular rise in the scope, breadth, and depth of its efforts. Notwithstanding this prevalence and impact, it is often still performed using the renaissance model of individual artisans gathered in ...
Cepellotti, Andrea +4 more
core +2 more sources
International Journal of STEM Education, 2023 Contemporary science is a field that is becoming increasingly computational. Today’s scientists not only leverage computational tools to conduct their investigations, they often must contribute to the design of the computational tools for their specific ...
Timothy Hurt +8 more
doaj +2 more sources
Materials Cloud, a platform for open computational science. [PDF]
Sci Data, 2020 Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling.
Talirz L +19 more
europepmc +3 more sources
Categorical Data Integration for Computational Science [PDF]
Computational materials science, 2019 Kristopher Brown +2 more
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Reproducible research in computational science. [PDF]
Science, 2011 Peng RD.
europepmc +2 more sources
Machine-Learning Methods for Computational Science and Engineering
De Computis, 2020 The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing.
M. Frank, D. Drikakis, V. Charissis
semanticscholar +1 more source
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering [PDF]
Works, 2019 Machine Learning (ML) has become essential in several industries. In Computational Science and Engineering (CSE), the complexity of the ML lifecycle comes from the large variety of data, scientists' expertise, tools, and workflows.
Renan Souza +12 more
semanticscholar +1 more source
Parameterized Algorithmics for Computational Social Choice: Nine Research Challenges [PDF]
, 2014 Computational Social Choice is an interdisciplinary research area involving Economics, Political Science, and Social Science on the one side, and Mathematics and Computer Science (including Artificial Intelligence and Multiagent Systems) on the other ...
Bredereck, Robert +5 more
core +3 more sources
Frontiers in Physiology, 2018 Sports and exercise today are popular for both amateurs and athletes. However, we continue to seek the best ways to analyze best athlete performances and develop specific tools that may help scientists and people in general to analyze athletic ...
Vanessa H. Pereira +7 more
doaj +1 more source