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Gordon Erlebacher
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2020 – today
- 2023
- [j12]Eric Dolores-Cuenca
, José Antonio Arciniega-Nevarez
Polychrony as Chinampas. Algorithms 16(4): 193 (2023) - [c17]Kevin Mueller, Anke Meyer-Baese, Gordon Erlebacher:
Combining graph neural networks and ROI-based convolutional neural networks to infer individualized graphs for Alzheimer's prediction. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - 2022
- [c16]Kevin Mueller, Anke Meyer-Baese, Gordon Erlebacher:
Multimodal region-based transformer for the classification and prediction of Alzheimer's disease. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - 2021
- [i3]Eric Dolores-Cuenca, José Antonio Arciniega-Nevarez, Anh Nguyen, Yitong Zou, Nathan Crock, Gordon Erlebacher, Jose L. Mendoza-Cortes
Polychrony as Chinampas. CoRR abs/2103.15265 (2021) - 2020
- [c15]Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher:
The Generalization-Stability Tradeoff In Neural Network Pruning. NeurIPS 2020
2010 – 2019
- 2019
- [i2]Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher:
The Generalization-Stability Tradeoff in Neural Network Pruning. CoRR abs/1906.03728 (2019) - 2018
- [j11]Evan Cresswell-Clay, Nathan Crock, Joël Tabak, Gordon Erlebacher:
A Compartmental Model to Investigate Local and Global Ca2+ Dynamics in Astrocytes. Frontiers Comput. Neurosci. 12: 94 (2018) - [c14]Mario Harper, David Balbuena, Justin Larson, Camilo Ordonez, Gordon Erlebacher, Emmanuel G. Collins Jr., Jonathan E. Clark:
Model Refinement for Terrain Responsive Planning on a Dynamic Running Quadruped. ISER 2018: 645-654 - [i1]Brian R. Bartoldson, Adrian Barbu, Gordon Erlebacher:
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks. CoRR abs/1805.01930 (2018) - 2014
- [c13]Gordon Erlebacher, Erik Saule, Natasha Flyer, Evan F. Bollig
Acceleration of derivative calculations with application to radial basis function: finite-differences on the intel mic architecture. ICS 2014: 263-272 - 2012
- [j10]Evan F. Bollig
Solution to PDEs using radial basis function finite-differences (RBF-FD) on multiple GPUs. J. Comput. Phys. 231(21): 7133-7151 (2012) - [j9]Qin Li, Jianwei Ma, Gordon Erlebacher:
A New Reweighted Algorithm With Support Detection for Compressed Sensing. IEEE Signal Process. Lett. 19(7): 419-422 (2012) - 2011
- [j8]Ji Shen, Qin Li, Gordon Erlebacher:
Hybrid No-Reference Natural Image Quality Assessment of Noisy, Blurry, JPEG2000, and JPEG Images. IEEE Trans. Image Process. 20(8): 2089-2098 (2011) - 2010
- [j7]Yenan Qu, Gordon Erlebacher, Evan F. Bollig
Toolkits for automatic web service and GUI generation: KWATT. Concurr. Comput. Pract. Exp. 22(12): 1703-1719 (2010) - [j6]Dimitri Komatitsch
Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs. Comput. Sci. Res. Dev. 25(1-2): 75-82 (2010) - [j5]Dimitri Komatitsch
High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster. J. Comput. Phys. 229(20): 7692-7714 (2010)
2000 – 2009
- 2009
- [j4]Dimitri Komatitsch
Porting a high-order finite-element earthquake modeling application to NVIDIA graphics cards using CUDA. J. Parallel Distributed Comput. 69(5): 451-460 (2009) - [c12]Ji Shen, Qin Li, Gordon Erlebacher:
Curvelet based no-reference objective image Quality Assessment. PCS 2009: 1-4 - 2007
- [j3]Mehmet A. Nacar, Mehmet S. Aktas
VLab: collaborative Grid services and portals to support computational material science. Concurr. Comput. Pract. Exp. 19(12): 1717-1728 (2007) - 2006
- [c11]Gordon Erlebacher, Janet S. Peterson:
The School of Computational Science at Florida State University. International Conference on Computational Science (2) 2006: 177-184 - [c10]Ravi Ananthuni, Bijaya Karki, Evan F. Bollig, Cesar R. S. da Silva, Gordon Erlebacher:
A Web-Based Visualization and Reposition Scheme for Scientific Data. MSV 2006: 311-317 - 2005
- [c9]Daniel Weiskopf
Particle and Texture Based Spatiotemporal Visualization of Time-Dependent Vector Fields. IEEE Visualization 2005: 639-646 - [p2]Daniel Weiskopf
Overview of Flow Visualization. The Visualization Handbook 2005: 261-278 - [p1]Gordon Erlebacher, Bruno Jobard, Daniel Weiskopf:
Flow Textures: High-Resolution Flow Visualization. The Visualization Handbook 2005: 279-293 - 2004
- [c8]Garret Sobczyk, Gordon Erlebacher:
Hybrid Matrix Geometric Algebra. IWMM/GIAE 2004: 191-206 - 2003
- [c7]Curt Hesher, Anuj Srivastava, Gordon Erlebacher:
A novel technique for face recognition using range imaging. ISSPA (2) 2003: 201-204 - [c6]Daniel Weiskopf
A Texture-Based Framework for Spacetime-Coherent Visualization of Time-Dependent Vector Fields. IEEE Visualization 2003: 107-114 - 2002
- [j2]Bruno Jobard, Gordon Erlebacher, M. Yousuff Hussaini:
Lagrangian-Eulerian Advection of Noise and Dye Textures for Unsteady Flow Visualization. IEEE Trans. Vis. Comput. Graph. 8(3): 211-222 (2002) - [c5]Gordon Erlebacher, David A. Yuen, Fabien Dubuffet
Case Study: Visualization and Analysis of High Rayleigh Number - 3D Convection in the Earth's Mantle. IEEE Visualization 2002: 493-496 - [c4]Josh Grant, Gordon Erlebacher, James F. O'Brien:
Case Study: Visualizing Ocean Flow Vertical Motions using Lagrangian-Eulerian Time Surfaces. IEEE Visualization 2002: 529-532 - [c3]Daniel Weiskopf, Gordon Erlebacher, Matthias Hopf, Thomas Ertl:
Hardware-Accelerated Langrangian-Eulerian Texture Advection for 2D Flow. VMV 2002: 77-84 - 2001
- [c2]Bruno Jobard, Gordon Erlebacher, M. Yousuff Hussaini:
Lagrangian-Eulerian Advection for Unsteady Flow Visualization. IEEE Visualization 2001: 53-60 - 2000
- [c1]Bruno Jobard, Gordon Erlebacher, M. Yousuff Hussaini:
Hardware-accelerated texture advection for unsteady flow visualization. IEEE Visualization 2000: 155-162
1990 – 1999
- 1995
- [j1]Thomas Eidson, Gordon Erlebacher:
Implementation of a fully balanced periodic tridiagonal solver on a parallel distributed memory architecture. Concurr. Pract. Exp. 7(4): 273-302 (1995)
Coauthor Index
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