David M. Schwartz

Orcid: 0000-0001-7548-6373

According to our database1, David M. Schwartz authored at least 10 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Large-Window Curvature Computations for High-Resolution Digital Elevation Models.
IEEE Trans. Geosci. Remote. Sens., 2022

Ovarian cancer detection using optical coherence tomography and convolutional neural networks.
Neural Comput. Appl., 2022

On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
Bolstering Adversarial Robustness with Latent Disparity Regularization.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Language Models as Emotional Classifiers for Textual Conversations.
CoRR, 2020

Language Models as Emotional Classifiers for Textual Conversation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning.
Neural Comput., 2019

2018
The impact of encoding-decoding schemes and weight normalization in spiking neural networks.
Neural Networks, 2018

2017
On the organization of grid and place cells: Neural de-noising via subspace learning.
CoRR, 2017

2013
Discrete event system specification, synthesis, and optimization of low-power FPGA-based embedded systems.
Proceedings of the 2013 International Conference on Field-Programmable Technology, 2013


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