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Gregory Ditzler

Showing results (1-10 of 10) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|May 16, 2017
A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset SelectionGregory Ditzler, Robi Polikar, Gail Rosen, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 21, 2015
A bootstrap based Neyman-Pearson test for identifying variable importanceGregory Ditzler, Robi Polikar, Gail Rosen
IEEE Transactions on Nanobioscience|August 29, 2015
Multi-Layer and Recursive Neural Networks for Metagenomic ClassificationGregory Ditzler, Robi Polikar, Gail Rosen
IEEE Journal of Biomedical and Health Informatics|April 6, 2023
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise RemovalHuayu Li, Gregory Ditzler, Janet Roveda, et al.
Biodata Mining|February 19, 2019
Approximate kernel reconstruction for time-varying networksGregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 8, 2024
Knowledge distillation under ideal joint classifier assumptionHuayu Li, Xiwen Chen, Gregory Ditzler, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 28, 2018
The impact of encoding-decoding schemes and weight normalization in spiking neural networksZhengzhong Liang, David Schwartz, Gregory Ditzler, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 14, 2017
Extensions to Online Feature Selection Using Bagging and BoostingGregory Ditzler, Joseph LaBarck, James Ritchie, et al.
BMC Bioinformatics|November 6, 2015
Fizzy: feature subset selection for metagenomicsGregory Ditzler, J Calvin Morrison, Yemin Lan, et al.
Neural Computing & Applications|January 31, 2022
Ovarian cancer detection using optical coherence tomography and convolutional neural networksDavid Schwartz, Travis W Sawyer, Noah Thurston, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|May 16, 2017
A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset SelectionGregory Ditzler, Robi Polikar, Gail Rosen, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 21, 2015
A bootstrap based Neyman-Pearson test for identifying variable importanceGregory Ditzler, Robi Polikar, Gail Rosen
IEEE Transactions on Nanobioscience|August 29, 2015
Multi-Layer and Recursive Neural Networks for Metagenomic ClassificationGregory Ditzler, Robi Polikar, Gail Rosen
IEEE Journal of Biomedical and Health Informatics|April 6, 2023
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise RemovalHuayu Li, Gregory Ditzler, Janet Roveda, et al.
Biodata Mining|February 19, 2019
Approximate kernel reconstruction for time-varying networksGregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 8, 2024
Knowledge distillation under ideal joint classifier assumptionHuayu Li, Xiwen Chen, Gregory Ditzler, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 28, 2018
The impact of encoding-decoding schemes and weight normalization in spiking neural networksZhengzhong Liang, David Schwartz, Gregory Ditzler, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 14, 2017
Extensions to Online Feature Selection Using Bagging and BoostingGregory Ditzler, Joseph LaBarck, James Ritchie, et al.
BMC Bioinformatics|November 6, 2015
Fizzy: feature subset selection for metagenomicsGregory Ditzler, J Calvin Morrison, Yemin Lan, et al.
Neural Computing & Applications|January 31, 2022
Ovarian cancer detection using optical coherence tomography and convolutional neural networksDavid Schwartz, Travis W Sawyer, Noah Thurston, et al.
Pageof 1