Michael Houston

Orcid: 0000-0002-1951-084X

According to our database1, Michael Houston authored at least 20 papers between 2003 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model.
IEEE Trans. Instrum. Meas., 2023

Expanding the repertoire of intermuscular coordination patterns and modulating intermuscular connectivity in stroke-affected upper extremity through electromyogram-guided training: a pilot study.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Image Segmentation for High-Density Surface Electromyography Mappings of Pelvic Floor Muscle Activity of Women with Interstitial Cystitis/Bladder Pain Syndrome.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.
CoRR, 2022

2021
Optimizing Input for Gesture Recognition using Convolutional Networks on HD-sEMG Instantaneous Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Altered Muscle Networks in Post-Stroke Survivors.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs.
CoRR, 2019

Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs.
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

Underlying modulators of frontal global field potentials in emotion regulation: an EEG-informed fMRI study.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018
Exascale deep learning for climate analytics.
Proceedings of the International Conference for High Performance Computing, 2018

Mixed Precision Training.
Proceedings of the 6th International Conference on Learning Representations, 2018

2013
PROARTIS: Probabilistically Analyzable Real-Time Systems.
ACM Trans. Embed. Comput. Syst., 2013

2012
Measurement-Based Probabilistic Timing Analysis for Multi-path Programs.
Proceedings of the 24th Euromicro Conference on Real-Time Systems, 2012

2011
A practical visualization strategy for large-scale supernovae CFD simulations.
Proceedings of the SIGGRAPH Asia 2011 Sketches, Hong Kong, December 12-15, 2011, 2011

Large drilling machine control code - Parallelisation and WCET speedup.
Proceedings of the Industrial Embedded Systems (SIES), 2011

2010
Merasa: Multicore Execution of Hard Real-Time Applications Supporting Analyzability.
IEEE Micro, 2010

ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors.
Proceedings of the 19th International Conference on Parallel Architectures and Compilation Techniques, 2010

2008
A portable runtime interface for multi-level memory hierarchies.
PhD thesis, 2008

2003
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware.
Proceedings of the 14th IEEE Visualization Conference, 2003


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