Chris J. Michael

Affiliations:
  • U.S. Naval Research Lab, Stennis Space Center, MS
  • Louisiana State University, Department of Electrical and Computer Engineering, Baton Rouge, LA, USA


According to our database1, Chris J. Michael authored at least 15 papers between 2010 and 2023.

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Bibliography

2023
Optimization of a Human-Machine Team for Geographic Region Digitization.
Proceedings of the Human Interface and the Management of Information, 2023

Human-Oriented Fuzzy Set Based Explanations of Spatial Concepts.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Generative Neural Net for Spatial Concept-to-Image.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022
Multi-Channel Residual Learning for Marine Mammal Vocalization Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020
Fast GPU Graph Contraction by Combining Efficient Shallow Searches and Post-Culling.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019
Machine learning applications in detecting rip channels from images.
Appl. Soft Comput., 2019

Towards Generalizing Stochastic Spatiotemporal Graphs for Analyzing Least-Cost Path Stability.
Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

CUDA-DTM: Distributed Transactional Memory for GPU Clusters.
Proceedings of the Networked Systems - 7th International Conference, 2019

HeteroMap: A Runtime Performance Predictor for Efficient Processing of Graph Analytics on Heterogeneous Multi-Accelerators.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

GPU road network graph contraction and SSSP query.
Proceedings of the ACM International Conference on Supercomputing, 2019

A General Framework for Human-Machine Digitization of Geographic Regions from Remotely Sensed Imagery.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2017
Efficient Situational Scheduling of Graph Workloads on Single-Chip Multicores and GPUs.
IEEE Micro, 2017

2014
Discovering barriers to efficient execution, both obvious and subtle, using instruction-level visualization.
Proceedings of the First Workshop on Visual Performance Analysis, 2014

2010
The effects on branch prediction when utilizing control independence.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010


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