Discrete event system specification, synthesis, and optimization of low-power FPGA-based embedded systems. - Tim Pifer; David M. Schwartz; Roman Lysecky; Chungman Seo; Bernard P. Zeigler (FPT, 2013)

On the organization of grid and place cells: Neural de-noising via subspace learning. - David M. Schwartz; Onur Ozan Koyluoglu (CoRR, 2017)

The impact of encoding-decoding schemes and weight normalization in spiking neural networks. - Zhengzhong Liang; David M. Schwartz; Gregory Ditzler; Onur Ozan Koyluoglu (Neural Networks, 2018)

On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning. - David M. Schwartz; Onur Ozan Koyluoglu (Neural Comput., 2019)

Language Models as Emotional Classifiers for Textual Conversation. - Connor T. Heaton; David M. Schwartz (ACM Multimedia, 2020)

Language Models as Emotional Classifiers for Textual Conversations. - Connor T. Heaton; David M. Schwartz (CoRR, 2020)

Bolstering Adversarial Robustness with Latent Disparity Regularization. - David M. Schwartz; Gregory Ditzler (IJCNN, 2021)

On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance. - David M. Schwartz; Gregory Ditzler (SSCI, 2022)

Ovarian cancer detection using optical coherence tomography and convolutional neural networks. - David M. Schwartz; Travis W. Sawyer; Noah Thurston; Jennifer K. Barton; Gregory Ditzler (Neural Comput. Appl., 2022)

Large-Window Curvature Computations for High-Resolution Digital Elevation Models. - Anne M. Denton; Rahul Gomes; David M. Schwartz; David W. Franzen (IEEE Trans. Geosci. Remote. Sens., 2022)