Elisabeth Giem

University of California, Riverside — United States

Computer Science · Physical Sciences

7h-index606citations18works0.02yr avg
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Research Topics

Rough Sets and Fuzzy Logic(7), Data Mining Algorithms and Applications(5), Distributed systems and fault tolerance(4), Software System Performance and Reliability(3), Cloud Computing and Resource Management(2)

Publications18 total

FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs
IEEE Transactions on Parallel and Distributed Systems·2023· 2 cited
Resilient Kokkos: Resilient Execution Spaces.
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2022Open Access
GRRS: Accurate and Efficient Neighborhood Rough Set for Feature Selection
IEEE Transactions on Knowledge and Data Engineering·2022· 30 cited
An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation
IEEE Transactions on Knowledge and Data Engineering·2022· 58 cited
An Efficient and Adaptive Granular-Ball Generation Method in Classification Problem
IEEE Transactions on Neural Networks and Learning Systems·2022· 105 cited
Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach
HAL (Le Centre pour la Communication Scientifique Directe)·2022Open Access
Integrating process, control-flow, and data resiliency layers - Using a hybrid Fenix/Kokkosa approach.
2022Open Access
Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach
2022· 3 citedOpen Access
Resilient Execution Spaces: Challenges of Large-Scale Software Research During Quarantine.
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2022Open Access
Kokkos Resilience.
2022Open Access
Online Fault Tolerance with Kokkos Resilient Execution Spaces.
2022Open Access
An Efficient and Adaptive Granular-ball Generation Method in Classification Problem
arXiv (Cornell University)·2022Open Access
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation
arXiv (Cornell University)·2021· 1 citedOpen Access
mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework
IEEE Transactions on Neural Networks and Learning Systems·2021· 45 cited
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection
arXiv (Cornell University)·2020Open Access
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification
IEEE Transactions on Knowledge and Data Engineering·2020· 215 cited
A Fast Adaptive k-means with No Bounds
IEEE Transactions on Pattern Analysis and Machine Intelligence·2020· 137 cited
FT-iSort
2019· 10 citedOpen Access

Frequent Co-authors

Guoyin Wang(9), Shuyin Xia(8), Zizhong Chen(7), Xinbo Gao(7), Keita Teranishi(5), Deyu Meng(3), Matthew Whitlock(3), Nicolás Morales(3), George Bosilca(3), Aurélien Bouteiller(3), Bogdan Nicolae(3), Vivek Sarkar(3), Xiaochuan Dai(2), Xinyu Bai(2), Yujia Zhai(2), Kai Zhao(2), Matthew Whitlock(2), Hao Zhang(1), Wenhua Li(1), Daowan Peng(1)