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Scalable Algorithms for Data Science Laboratory (SCADS) Scalable Algorithms for Data Science Laboratory (SCADS)
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    • CptS 317: Automata and Formal Languages
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    • Data 424: Data Analytics Capstone
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  • About
  • People
    • Overview
    • Network Analysis
    • AI/ Machine Learning
    • CyberSecurity
    • Bioinformatics
    • Environmental Health
    • Power Grid Analysis
    • Pervasive Computing
    • Parallel Computing
    • Automatic Differentiation
  • SCADS Theses
    • Overview
    • Products
    • Education
  • GAANN Program
  • Software
    • Magazine Articles
    • Journal Papers
    • Conference Papers
    • Book Chapters
    • Volumes Edited
    • Other Publications
  • Teaching
    • CptS 317: Automata and Formal Languages
    • CptS 475/575: Data Science
    • CptS 591: Elements of Network Science
    • Data 424: Data Analytics Capstone
  • Service
  • News
  • Contact Us

Volumes Edited

  1. A.H. Gebremedhin, E. Boman and B. Ucar (Eds.), 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing.
  2. T. Sørevik, F. Manne, R. Moe, and A. H. Gebremedhin (eds.), Applied Parallel Computing. New Paradigms for HPC in Industry and Academia, Para2000, Bergen, Norway, June 18–20, 2000, Proceedings, Lecture Notes in Computer Science 1947, Springer 2001.

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