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ORCIDCraig Michoski
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- affiliation: The University of Texas at Austin, USA
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Journal Articles
- 2024
[j15]Dongyang Kuang
, Craig Michoski:
Attention with kernels for EEG-based emotion classification. Neural Comput. Appl. 36(10): 5251-5266 (2024)- 2023
- [j14]Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo:
From gram to attention matrices: a monotonicity constrained method for eeg-based emotion classification. Appl. Intell. 53(18): 20690-20709 (2023) - [j13]Dongyang Kuang, Craig Michoski:
SEER-net: Simple EEG-based Recognition network. Biomed. Signal Process. Control. 83: 104620 (2023) - 2020
- [j12]Craig Michoski, Milos Milosavljevic, Todd Oliver, David R. Hatch:
Solving differential equations using deep neural networks. Neurocomputing 399: 193-212 (2020) - [j11]Danial Faghihi, Varis Carey, Craig Michoski, Robert Hager, Saloman Janhunen, Choong-Seock Chang, Robert D. Moser:
Moment preserving constrained resampling with applications to particle-in-cell methods. J. Comput. Phys. 409: 109317 (2020) - 2019
- [j10]Maximilian H. Bremer, Kazbek Kazhyken, Hartmut Kaiser, Craig Michoski, Clint Dawson:
Performance Comparison of HPX Versus Traditional Parallelization Strategies for the Discontinuous Galerkin Method. J. Sci. Comput. 80(2): 878-902 (2019) - [j9]Ali Samii, Kazbek Kazhyken, Craig Michoski, Clint Dawson:
A Comparison of the Explicit and Implicit Hybridizable Discontinuous Galerkin Methods for Nonlinear Shallow Water Equations. J. Sci. Comput. 80(3): 1936-1956 (2019) - 2017
- [j8]Craig Michoski, Alen Alexanderian, C. Paillet, Ethan J. Kubatko, Clint Dawson:
Stability of Nonlinear Convection-Diffusion-Reaction Systems in Discontinuous Galerkin Methods. J. Sci. Comput. 70(2): 516-550 (2017) - 2016
- [j7]Craig Michoski, Clint Dawson, Ethan J. Kubatko, Damrongsak Wirasaet, S. R. Brus, Joannes J. Westerink:
A Comparison of Artificial Viscosity, Limiters, and Filters, for High Order Discontinuous Galerkin Solutions in Nonlinear Settings. J. Sci. Comput. 66(1): 406-434 (2016) - [j6]Ali Samii, Nishant Panda, Craig Michoski, Clint Dawson:
A Hybridized Discontinuous Galerkin Method for the Nonlinear Korteweg-de Vries Equation. J. Sci. Comput. 68(1): 191-212 (2016) - 2015
- [j5]Damrongsak Wirasaet, S. R. Brus, Craig Michoski, Ethan J. Kubatko, Joannes J. Westerink, Clint Dawson:
Artificial boundary layers in discontinuous Galerkin solutions to shallow water equations in channels. J. Comput. Phys. 299: 597-612 (2015) - 2014
- [j4]Craig Michoski, D. Meyerson, Tobin Isaac, F. Waelbroeck:
Discontinuous Galerkin methods for plasma physics in the scrape-off layer of tokamaks. J. Comput. Phys. 274: 898-919 (2014) - 2011
- [j3]Craig Michoski, Chris Mirabito, Clint Dawson, Damrongsak Wirasaet, Ethan J. Kubatko, Joannes J. Westerink:
Adaptive hierarchic transformations for dynamically p-enriched slope-limiting over discontinuous Galerkin systems of generalized equations. J. Comput. Phys. 230(22): 8028-8056 (2011) - 2010
- [j2]Craig Michoski, J. A. Evans, Phillip G. Schmitz, Alexis F. Vasseur:
A discontinuous Galerkin method for viscous compressible multifluids. J. Comput. Phys. 229(6): 2249-2266 (2010) - 2009
- [j1]Craig Michoski, J. A. Evans, Phillip G. Schmitz, Alexis F. Vasseur:
Quantum hydrodynamics with trajectories: The nonlinear conservation form mixed/discontinuous Galerkin method with applications in chemistry. J. Comput. Phys. 228(23): 8589-8608 (2009)
Conference and Workshop Papers
- 2022
- [c3]Dongyang Kuang, Craig Michoski:
KAM - A Kernel Attention Module for Emotion Classification with EEG Data. iMIMIC@MICCAI 2022: 93-103 - [c2]Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo:
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data. MILLanD@MICCAI 2022: 218-228 - 2017
- [c1]Nicholas Malaya, Damon McDougall, Craig Michoski, Myoungkyu Lee, Christopher S. Simmons:
Experiences Porting Scientific Applications to the Intel (KNL) Xeon Phi Platform. PEARC 2017: 40:1-40:8
Informal and Other Publications
- 2024
- [i5]Dongyang Kuang, Xinyue Song, Craig Michoski:
Emotion Classification from Multi-Channel EEG Signals Using HiSTN: A Hierarchical Graph-based Spatial-Temporal Approach. CoRR abs/2408.15255 (2024) - 2022
- [i4]Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo:
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data. CoRR abs/2208.08155 (2022) - [i3]Dongyang Kuang, Craig Michoski:
KAM - a Kernel Attention Module for Emotion Classification with EEG Data. CoRR abs/2208.08161 (2022) - 2019
- [i2]Craig Michoski, Milos Milosavljevic, Todd Oliver, David R. Hatch:
Solving Irregular and Data-enriched Differential Equations using Deep Neural Networks. CoRR abs/1905.04351 (2019) - 2018
- [i1]Zhao Zhang, Lei Huang, Uri Manor, Linjing Fang, Gabriele Merlo, Craig Michoski, John Cazes, Niall Gaffney:
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning. CoRR abs/1809.10799 (2018)
Coauthor Index
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