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Stoltz, Gene
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1

Cross-dataset performance evaluation of deep learning distr..:

Zandamela, Frank ; Ratshidaho, Terence ; Nicolls, Fred..
MATEC Web of Conferences.  370 (2022)  - p. 07002 , 2022
Link: https://doi.org/10.1051/..
 
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2

Acceleration of hidden Markov model fitting using graphical..:

Stoltz, Marnus ; Stoltz, Gene ; Obara, Kazushige..
Computers & Geosciences.  156 (2021)  - p. 104902 , 2021
Link: https://doi.org/10.1016/..
 
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3

Cross-dataset performance evaluation of deep learning distr..:

Zandamela Frank ; Ratshidaho Terence ; Nicolls Fred.
https://www.matec-conferences.org/articles/matecconf/pdf/2022/17/matecconf_rapdasa2022_07002.pdf.  , 2022
Link: https://doi.org/10.1051/..
 
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4

Improving spatial domain based image formation through comp..:

Stoltz, Gene ; Nel, André Leon
http://arxiv.org/abs/2010.00295.  , 2020
Link: http://arxiv.org/abs/201..
 
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5

Performance Estimation of a Real-Time Rosette Imager:

Stoltz, Gene ; Stoltz, Marnus
http://arxiv.org/abs/2009.07176.  , 2020
Link: http://arxiv.org/abs/200..
 
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6

A 1000-fold Acceleration of Hidden Markov Model Fitting usi..:

Stoltz, Marnus ; Stoltz, Gene ; Obara, Kazushige..
http://arxiv.org/abs/2003.03508.  , 2020
Link: http://arxiv.org/abs/200..
 
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7

Performance Estimation of a Real-Time Rosette Imager:

Gene Stoltz ; Marnus Stoltz
doi:10.48550/arxiv.2009.07176.  , 2020
Link: https://doi.org/10.48550..
 
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