Showing 1 - 14 results of 14 for search 'multiple art direction algorithm', query time: 0.31s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

    Revised 1: Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. by Yanis Asloudj (19711636)

    Published 2025
    “…We expect that this work will provide an alternative direction for developing single-cell ensemble clustering algorithms.…”
  6. 6
  7. 7

    Inferred phylogenies for POP66. by Henri Schmidt (17364844)

    Published 2024
    “…Using our phylogeny constrained mutation clustering algorithm, we also find mutation clusters with lower distortion compared to state-of-the-art approaches. …”
  8. 8

    Runtime analysis for B-ALL patient phylogenies. by Henri Schmidt (17364844)

    Published 2024
    “…Using our phylogeny constrained mutation clustering algorithm, we also find mutation clusters with lower distortion compared to state-of-the-art approaches. …”
  9. 9

    ARI and NMI of inferring mutation clusters. by Henri Schmidt (17364844)

    Published 2024
    “…Using our phylogeny constrained mutation clustering algorithm, we also find mutation clusters with lower distortion compared to state-of-the-art approaches. …”
  10. 10

    Inferred phylogenies for CSC28. by Henri Schmidt (17364844)

    Published 2024
    “…Using our phylogeny constrained mutation clustering algorithm, we also find mutation clusters with lower distortion compared to state-of-the-art approaches. …”
  11. 11

    <i>ℓ</i><sub>1</sub> matrix error for B-ALL patient phylogenies. by Henri Schmidt (17364844)

    Published 2024
    “…Using our phylogeny constrained mutation clustering algorithm, we also find mutation clusters with lower distortion compared to state-of-the-art approaches. …”
  12. 12
  13. 13
  14. 14

    Acceleration of Semiempirical Electronic Structure Theory Calculations on Consumer-Grade GPUs Using Mixed-Precision Density Matrix Purification by Pit Steinbach (12795798)

    Published 2025
    “…Going further, we show that our asynchronous GPU implementation enables running multiple SCFs in parallel on a single GPU, which enables us to leverage our implementation for accelerating state-of-the-art conformational sampling procedures that are based on molecular dynamics and metadynamic simulations.…”