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Automatic identification of instructions responsible for numerical instabilities in a source code
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ATEM is a novel framework for studying topic evolution in scientific archives. ATEM is based on dynamic topic modeling and dynamic graph embedding techniques that explore the dynamics of content and citations of documents within a scientific corpus. ATEM explores a new notion of contextual emergence for the discovery of emerging interdisciplinary research topics based on the dynamics of citation links in topic clusters. Our experiments show that ATEM can efficiently detect emerging cross-disciplinary topics within the DBLP archive of over five million computer science articles. paper: https://arxiv.org/abs/2306.02221
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An unofficial LiP6 Beamer template for typesetting slides in LaTeX.
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A usage example of the unofficial LiP6 Beamer theme at https://gitlab.lip6.fr/felsoci/beamerthemelip6.
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Control of accuracy and debugging for C/C++ and Fortran applications
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