Elisabeth Giem

Orcid: 0009-0004-3384-6843

According to our database1, Elisabeth Giem authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
An Efficient and Adaptive Granular-Ball Generation Method in Classification Problem.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

2023
FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs.
IEEE Trans. Parallel Distributed Syst., December, 2023

GRRS: Accurate and Efficient Neighborhood Rough Set for Feature Selection.
IEEE Trans. Knowl. Data Eng., September, 2023

An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation.
IEEE Trans. Knowl. Data Eng., August, 2023

2022
mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework.
IEEE Trans. Neural Networks Learn. Syst., 2022

GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification.
IEEE Trans. Knowl. Data Eng., 2022

Ball $k$k-Means: Fast Adaptive Clustering With No Bounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

GBRS: An Unified Model of Pawlak Rough Set and Neighborhood Rough Set.
CoRR, 2022

An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation.
CoRR, 2022

Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021
FT-BLAS: a high performance BLAS implementation with online fault tolerance.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection.
CoRR, 2020

2019
FT-iSort: efficient fault tolerance for introsort.
Proceedings of the International Conference for High Performance Computing, 2019


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