| Obstructed flow field designs for improved performance in vanadium redox flow batteries B Akuzum, YC Alparslan, NC Robinson, E Agar, EC Kumbur Journal of Applied Electrochemistry 49, 551-561, 2019 | 48 | 2019 |
| Adversarial attacks on convolutional neural networks in facial recognition domain Y Alparslan, K Alparslan, J Keim-Shenk, S Khade, R Greenstadt arXiv preprint arXiv:2001.11137, 2020 | 16 | 2020 |
| Adversarial attacks against neural networks in audio domain: Exploiting principal components K Alparslan, Y Alparslan, M Burlick arXiv preprint arXiv:2007.07001, 2020 | 11 | 2020 |
| Regularization and Sparsity for Adversarial Robustness and Stable Attribution D Schwartz, Y Alparslan, E Kim International Symposium on Visual Computing, 3-14, 2020 | 10 | 2020 |
| Towards evaluating driver fatigue with robust deep learning models K Alparslan, Y Alparslan, M Burlick arXiv preprint arXiv:2007.08453, 2020 | 9 | 2020 |
| Perfecting the Crime Machine Y Alparslan, I Panagiotou, W Livengood, R Kane, A Cohen arXiv preprint arXiv:2001.09764, 2020 | 8 | 2020 |
| Towards searching efficient and accurate neural network architectures in binary classification problems Y Alparslan, EJ Moyer, IM Isozaki, D Schwartz, A Dunlop, S Dave, E Kim 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 4 | 2021 |
| Extreme volatility prediction in stock market: When gamestop meets long short-term memory networks Y Alparslan, E Kim arXiv preprint arXiv:2103.01121, 2021 | 4 | 2021 |
| Towards Evaluating Gaussian Blurring in Perceptual Hashing as a Facial Image Filter Y Alparslan, K Alparslan, M Kshettry, L Kratz arXiv preprint arXiv:2002.00140, 2020 | 4 | 2020 |
| ATRAS: Adversarially trained robust architecture search Y Alparslan, E Kim arXiv preprint arXiv:2106.06917, 2021 | 3 | 2021 |
| Evaluating online and offline accuracy traversal algorithms for k-complete neural network architectures Y Alparslan, EJ Moyer, E Kim arXiv preprint arXiv:2101.06518, 2021 | 3 | 2021 |
| Convoluted Stock Market: Using Convolution Operation for Stock Market Prediction Y Alparslan, E Kim Preprints, 2021 | 1 | 2021 |
| Robust SleepNets Y Alparslan, E Kim arXiv preprint arXiv:2102.12555, 2021 | 1 | 2021 |
| 2021 Drexel Society of Artificial Intelligence Research Conference EJ Moyer, YC Alparslan arXiv preprint arXiv:2110.05263, 2021 | | 2021 |
| Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network E Moyer, J Winchell, I Isozaki, Y Alparslan, M Halac, E Kim arXiv preprint arXiv:2104.08969, 2021 | | 2021 |
| Adversarial Attacks and Robustness in Deep Learning Models and Applications YC Alparslan Drexel University, 2021 | | 2021 |
Edward KimAssociate Professor of Computer Science, Drexel UniversityDirección de correo verificada de drexel.edu
