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ORCIDChris J. Michael 0001
Person information
- affiliation: U.S. Naval Research Lab, Stennis Space Center, MS
- affiliation: Louisiana State University, Department of Electrical and Computer Engineering, Baton Rouge, LA, USA
Other persons with the same name
- Chris J. Michael — disambiguation page
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2020 – today
- 2023
[c13]Brendan Young, Derek T. Anderson, James M. Keller, Fred Petry, Chris J. Michael:
Generative Neural Net for Spatial Concept-to-Image. AIPR 2023: 1-7- [c12]Brendan Young, Derek T. Anderson, James M. Keller, Fred Petry, Chris J. Michael, Blake Ruprecht:
Human-Oriented Fuzzy Set Based Explanations of Spatial Concepts. FUZZ 2023: 1-7 - [c11]Steven M. Dennis, Christopher J. Michael:
Optimization of a Human-Machine Team for Geographic Region Digitization. HCI (6) 2023: 444-460 - 2022
- [c10]Daniel T. Murphy, Elias Ioup, Christopher J. Michael, Md. Tamjidul Hoque, Mahdi Abdelguerfi:
Multi-Channel Residual Learning for Marine Mammal Vocalization Classification. IGARSS 2022: 2566-2569 - 2021
- [c9]Deniz Gurevin, Chris J. Michael, Omer Khan:
An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks. HPEC 2021: 1-7 - 2020
- [c8]Roozbeh Karimi, David M. Koppelman, Chris J. Michael:
Fast GPU Graph Contraction by Combining Efficient Shallow Searches and Post-Culling. HPEC 2020: 1-7
2010 – 2019
- 2019
- [j2]Corey Maryan, Md. Tamjidul Hoque
, Christopher J. Michael, Elias Ioup, Mahdi Abdelguerfi:
Machine learning applications in detecting rip channels from images. Appl. Soft Comput. 78: 84-93 (2019) - [c7]Christopher J. Michael, Steven M. Dennis, Corey Maryan, Samuel Irving, Margaret L. Palmsten:
A General Framework for Human-Machine Digitization of Geographic Regions from Remotely Sensed Imagery. SIGSPATIAL/GIS 2019: 259-268 - [c6]Roozbeh Karimi, David M. Koppelman, Chris J. Michael:
GPU road network graph contraction and SSSP query. ICS 2019: 250-260 - [c5]Masab Ahmad, Halit Dogan, Christopher J. Michael, Omer Khan:
HeteroMap: A Runtime Performance Predictor for Efficient Processing of Graph Analytics on Heterogeneous Multi-Accelerators. ISPASS 2019: 268-281 - [c4]Samuel Irving, Sui Chen, Lu Peng, Costas Busch, Maurice Herlihy, Christopher J. Michael:
CUDA-DTM: Distributed Transactional Memory for GPU Clusters. NETYS 2019: 183-199 - [c3]Chris J. Michael, Joseph P. Macker, Frederick E. Petry:
Towards Generalizing Stochastic Spatiotemporal Graphs for Analyzing Least-Cost Path Stability. SSDBM 2019: 189-192 - 2017
- [j1]Masab Ahmad, Christopher J. Michael, Omer Khan:
Efficient Situational Scheduling of Graph Workloads on Single-Chip Multicores and GPUs. IEEE Micro 37(1): 30-40 (2017) - 2014
- [c2]David M. Koppelman, Chris J. Michael:
Discovering barriers to efficient execution, both obvious and subtle, using instruction-level visualization. VPA@SC 2014: 36-41 - 2010
- [c1]Chris J. Michael, David M. Koppelman:
The effects on branch prediction when utilizing control independence. IPDPS Workshops 2010: 1-4
Coauthor Index
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