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2020 – today
- 2022
[j4]David M. Schwartz
, Travis W. Sawyer, Noah Thurston, Jennifer K. Barton, Gregory Ditzler:
Ovarian cancer detection using optical coherence tomography and convolutional neural networks. Neural Comput. Appl. 34(11): 8977-8987 (2022)- [j3]Anne M. Denton, Rahul Gomes, David M. Schwartz, David W. Franzen:
Large-Window Curvature Computations for High-Resolution Digital Elevation Models. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [c4]David M. Schwartz, Gregory Ditzler:
On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance. SSCI 2022: 1334-1341 - 2021
- [c3]David M. Schwartz, Gregory Ditzler:
Bolstering Adversarial Robustness with Latent Disparity Regularization. IJCNN 2021: 1-8 - 2020
- [c2]Connor T. Heaton, David M. Schwartz:
Language Models as Emotional Classifiers for Textual Conversation. ACM Multimedia 2020: 2918-2926 - [i2]Connor T. Heaton, David M. Schwartz:
Language Models as Emotional Classifiers for Textual Conversations. CoRR abs/2008.12360 (2020)
2010 – 2019
- 2019
- [j2]David M. Schwartz, Onur Ozan Koyluoglu:
On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning. Neural Comput. 31(8): 1519-1550 (2019) - 2018
- [j1]Zhengzhong Liang, David M. Schwartz, Gregory Ditzler, Onur Ozan Koyluoglu:
The impact of encoding-decoding schemes and weight normalization in spiking neural networks. Neural Networks 108: 365-378 (2018) - 2017
- [i1]David M. Schwartz, Onur Ozan Koyluoglu:
On the organization of grid and place cells: Neural de-noising via subspace learning. CoRR abs/1712.04602 (2017) - 2013
- [c1]Tim Pifer, David M. Schwartz, Roman Lysecky, Chungman Seo, Bernard P. Zeigler:
Discrete event system specification, synthesis, and optimization of low-power FPGA-based embedded systems. FPT 2013: 98-105
Coauthor Index
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