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ORCIDShirley V. Moore
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2020 – today
- 2024
[c8]William Marfo
, Deepak K. Tosh, Shirley V. Moore:
Enhancing Network Anomaly Detection Using Graph Neural Networks. MedComNet 2024: 1-10- [i4]William Marfo, Pablo Moriano, Deepak K. Tosh, Shirley V. Moore:
Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning. CoRR abs/2408.05427 (2024) - 2023
- [i3]William Marfo, Deepak K. Tosh, Shirley V. Moore:
Condition monitoring and anomaly detection in cyber-physical systems. CoRR abs/2301.09030 (2023) - [i2]William Marfo, Deepak K. Tosh, Shirley V. Moore:
Network Anomaly Detection Using Federated Learning. CoRR abs/2303.07452 (2023) - 2022
- [j4]Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - [j3]John Gounley, Madhurima Vardhan, Erik W. Draeger, Pedro Valero-Lara, Shirley V. Moore, Amanda Randles:
Propagation Pattern for Moment Representation of the Lattice Boltzmann Method. IEEE Trans. Parallel Distributed Syst. 33(3): 642-653 (2022) - [c7]Daniel F. Puleri, Sayan Roychowdhury, Peter Balogh, John Gounley, Erik W. Draeger, Jeff Ames, Adebayo Adebiyi, Simbarashe Chidyagwai, Benjamín Hernández, Seyong Lee, Shirley V. Moore, Jeffrey S. Vetter, Amanda Randles:
High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. CLUSTER 2022: 230-242 - [c6]William Marfo, Deepak K. Tosh, Shirley V. Moore:
Network Anomaly Detection Using Federated Learning. MILCOM 2022: 484-489 - [c5]William Marfo, Deepak K. Tosh, Shirley V. Moore:
Condition monitoring and anomaly detection in cyber-physical systems. SoSE 2022: 106-111 - 2020
- [j2]Tiffany M. Mintz, Alexander J. McCaskey, Eugene F. Dumitrescu, Shirley V. Moore, Sarah Powers, Pavel Lougovski:
QCOR: A Language Extension Specification for the Heterogeneous Quantum-Classical Model of Computation. ACM J. Emerg. Technol. Comput. Syst. 16(2): 22:1-22:17 (2020)
2010 – 2019
- 2019
- [i1]Tiffany M. Mintz, Alexander J. McCaskey, Eugene F. Dumitrescu, Shirley V. Moore, Sarah Powers, Pavel Lougovski:
QCOR: A Language Extension Specification for the Heterogeneous Quantum-Classical Model of Computation. CoRR abs/1909.02457 (2019) - 2018
- [j1]Mariam Umar, Shirley V. Moore, Jeremy S. Meredith, Jeffrey S. Vetter, Kirk W. Cameron:
Aspen-based performance and energy modeling frameworks. J. Parallel Distributed Comput. 120: 222-236 (2018) - [c4]Ivy Bo Peng, Jeffrey S. Vetter, Shirley V. Moore, Seyong Lee:
Tuyere: enabling scalable memory workloads for system exploration. HPDC 2018: 180-191 - [c3]Mariam Umar, Shirley V. Moore, Jeffrey S. Vetter, Kirk W. Cameron:
Prometheus: Coherent Exploration of Hardware and Software Optimizations Using Aspen. MASCOTS 2018: 244-250 - 2016
- [c2]W. K. Umayanganie Munipala, Shirley V. Moore:
An evaluation framework for scientific programming productivity: position paper. SE4Science@ICSE 2016: 27-30 - [c1]W. K. Umayanganie Munipala, Shirley V. Moore:
Code Complexity versus Performance for GPU-accelerated Scientific Applications. SE-HPCCSE@SC 2016: 50
Coauthor Index
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