| A note on the phase locking value and its properties S Aydore, D Pantazis, RM Leahy Neuroimage 74, 231-244, 2013 | 223 | 2013 |
| Classification of respiratory signals by linear analysis S Aydore, I Sen, YP Kahya, MK Mihcak 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 58 | 2009 |
| On temporal connectivity of PFC via Gauss-Markov modeling of fNIRS signals S Aydore, MK Mihcak, K Ciftci, A Akin IEEE transactions on biomedical engineering 57 (3), 761-768, 2009 | 24 | 2009 |
| Romark: A robust watermarking system using adversarial training B Wen, S Aydore arXiv preprint arXiv:1910.01221, 2019 | 18 | 2019 |
| Brain lesion detection using a robust variational autoencoder and transfer learning H Akrami, AA Joshi, J Li, S Aydore, RM Leahy 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 786-790, 2020 | 11 | 2020 |
| Robust variational autoencoder H Akrami, AA Joshi, J Li, S Aydore, RM Leahy arXiv preprint arXiv:1905.09961, 2019 | 10 | 2019 |
| DropCluster: A structured dropout for convolutional networks L Chen, P Gautier, S Aydore arXiv preprint arXiv:2002.02997, 2020 | 8 | 2020 |
| Feature grouping as a stochastic regularizer for high-dimensional structured data S Aydore, B Thirion, G Varoquaux International Conference on Machine Learning, 385-394, 2019 | 7 | 2019 |
| Differentially private query release through adaptive projection S Aydore, W Brown, M Kearns, K Kenthapadi, L Melis, A Roth, AA Siva International Conference on Machine Learning, 457-467, 2021 | 6 | 2021 |
| Dynamic local regret for non-convex online forecasting S Aydore, T Zhu, DP Foster Advances in Neural Information Processing Systems 32, 2019 | 5 | 2019 |
| Adversarial Robustness with Non-uniform Perturbations E Erdemir, J Bickford, L Melis, S Aydore Advances in Neural Information Processing Systems 34, 2021 | 4 | 2021 |
| Robust Variational Autoencoder for Tabular Data with Beta Divergence H Akrami, S Aydore, RM Leahy, AA Joshi arXiv preprint arXiv:2006.08204, 2020 | 3 | 2020 |
| Using feature grouping as a stochastic regularizer for high-dimensional noisy data S Aydore, B Thirion, O Grisel, G Varoquaux CoRR, 2018 | 3 | 2018 |
| A robust variational autoencoder using beta divergence H Akrami, AA Joshi, J Li, S Aydöre, RM Leahy Knowledge-Based Systems 238, 107886, 2022 | 2 | 2022 |
| Phase synchrony in multivariate Gaussian data with applications to cortical networks S Aydore, D Pantazis, RM Leahy 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1547-1550, 2012 | 2 | 2012 |
| Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection H Akrami, A Joshi, S Aydore, R Leahy International Conference on Information Processing in Medical Imaging, 689-700, 2021 | 1 | 2021 |
| Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression H Akrami, AA Joshi, S Aydore, RM Leahy arXiv preprint arXiv:2010.09042, 2020 | 1 | 2020 |
| A local regret in nonconvex online learning S Aydore, L Dicker, D Foster arXiv preprint arXiv:1811.05095, 2018 | 1 | 2018 |
| Wheeze detection in respiratory sounds via statistical signal modeling S Aydöre University of Bogaziçi at the Graduate Program in Electrical and Electronics …, 2009 | 1 | 2009 |
| Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection H Akrami, A Joshi, S Aydore, R Leahy arXiv preprint arXiv:2109.09374, 2021 | | 2021 |
Ata AkinAcıbadem UniversityVerified email at acibadem.edu.tr
Ata AkinAcıbadem UniversityVerified email at acibadem.edu.tr