David M. Schwartz

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Spiking Neural Networks

Subspace Learning

Maximum Margin Criterion

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

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 (2022)
David M. Schwartz, Travis W. Sawyer, Noah Thurston, Jennifer Barton, Gregory Ditzler
Ovarian cancer detection using optical coherence tomography and convolutional neural networks. Neural Comput. Appl. 34 (11) (2022)
David M. Schwartz, Gregory Ditzler
On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance. SSCI (2022)
David M. Schwartz, Gregory Ditzler
Bolstering Adversarial Robustness with Latent Disparity Regularization. IJCNN (2021)
Connor T. Heaton, David M. Schwartz
Language Models as Emotional Classifiers for Textual Conversations. CoRR (2020)
Connor T. Heaton, David M. Schwartz
Language Models as Emotional Classifiers for Textual Conversation. ACM Multimedia (2020)
David M. Schwartz, Onur Ozan Koyluoglu
On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning. Neural Comput. 31 (8) (2019)
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 (2018)
David M. Schwartz, Onur Ozan Koyluoglu
On the organization of grid and place cells: Neural de-noising via subspace learning. CoRR (2017)