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Sergül Aydöre
Sergül Aydöre
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Title
Cited by
Cited by
Year
A note on the phase locking value and its properties
S Aydore, D Pantazis, RM Leahy
Neuroimage 74, 231-244, 2013
2232013
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
582009
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
242009
Romark: A robust watermarking system using adversarial training
B Wen, S Aydore
arXiv preprint arXiv:1910.01221, 2019
182019
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
112020
Robust variational autoencoder
H Akrami, AA Joshi, J Li, S Aydore, RM Leahy
arXiv preprint arXiv:1905.09961, 2019
102019
DropCluster: A structured dropout for convolutional networks
L Chen, P Gautier, S Aydore
arXiv preprint arXiv:2002.02997, 2020
82020
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
72019
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
62021
Dynamic local regret for non-convex online forecasting
S Aydore, T Zhu, DP Foster
Advances in Neural Information Processing Systems 32, 2019
52019
Adversarial Robustness with Non-uniform Perturbations
E Erdemir, J Bickford, L Melis, S Aydore
Advances in Neural Information Processing Systems 34, 2021
42021
Robust Variational Autoencoder for Tabular Data with Beta Divergence
H Akrami, S Aydore, RM Leahy, AA Joshi
arXiv preprint arXiv:2006.08204, 2020
32020
Using feature grouping as a stochastic regularizer for high-dimensional noisy data
S Aydore, B Thirion, O Grisel, G Varoquaux
CoRR, 2018
32018
A robust variational autoencoder using beta divergence
H Akrami, AA Joshi, J Li, S Aydöre, RM Leahy
Knowledge-Based Systems 238, 107886, 2022
22022
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
22012
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
12021
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression
H Akrami, AA Joshi, S Aydore, RM Leahy
arXiv preprint arXiv:2010.09042, 2020
12020
A local regret in nonconvex online learning
S Aydore, L Dicker, D Foster
arXiv preprint arXiv:1811.05095, 2018
12018
Wheeze detection in respiratory sounds via statistical signal modeling
S Aydöre
University of Bogaziçi at the Graduate Program in Electrical and Electronics …, 2009
12009
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
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