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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

A cross-platform Docker solution to mitigate WebRTC IP address leaks in Linux, macOS, and Windows. GPL-3.0-or-later.

GitLab repository mirror of the main repository: https://github.com/snowpackvipn/preventing-webrtc-ip-address-leaks. SoftwareHeritage: swh:1:dir:13dd58fbbff37434ad0432da7ca69c84ea4eb9a4.

http://public.algo-prog.info/journees-franciliennes-de-programmation.org/

TRACFM : Next POI Recommendation using Mixed Transition and Collaborative Filtering Models

Just a test with gitlab

Coriolis VLSI CAD Tools

EPIQUE: Exploring the Evolution of Science with Pivot Topic Graphs

Special version of the M4RI library for the PPAR class.

Coriolis VLSI CAD Tools

Coriolis VLSI CAD Tools

Example plain HTML site using GitLab Pages: https://pages.gitlab.io/plain-html

Example Hugo site using GitLab Pages: https://pages.gitlab.io/hugo

Coriolis VLSI CAD Tools