E-LIB Suche - Ergebnisse für: Kocanaogullari, Deniz

1

0760 Applying machine learning to examine settling down per..:

Hartman, Amy ; Kocanaogullari, Deniz ; Soehner, Adriane..
SLEEP. 46 (2023) Supplement_1 - p. A335-A336 , 2023

2

Detection of Stroke-Induced Visual Neglect and Target Respo..:

Mak, Jennifer ; Kocanaogullari, Deniz ; Huang, Xiaofei...
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30 (2022) - p. 1840-1850 , 2022

Link: https://doi.org/10.1109/..

3

EEG-based Neglect Detection for Stroke Patients:

, In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),

Kocanaogullari, Deniz ; Mak, Jennifer ; Kersey, Jessica... - p. 264-267 , 2020

Link: https://doi.org/10.1109/..

4

Deep Learning For Mri Reconstruction Using A Novel Projecti..:

, In: 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP),

Kocanaogullari, Deniz ; Eksioglu, Ender M. - p. 1-6 , 2019

Link: https://doi.org/10.1109/..

5

Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Lo..:

Gall, Richard ; Kocanaogullari, Deniz ; Akcakaya, Murat..
http://arxiv.org/abs/2307.08501. , 2023

Link: http://arxiv.org/abs/230..

6

Detection of Stroke-Induced Visual Neglect and Target Respo..:

Jennifer Mak ; Deniz Kocanaogullari ; Xiaofei Huang...
https://ieeexplore.ieee.org/document/9814082/. , 2022

Link: https://doi.org/10.1109/..

7

Recursive Estimation of User Intent From Noninvasive Electr..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Smedemark-Margulies, Niklas ; Celik, Basak ; Imbiriba, Tales.. - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

8

Methodology and preliminary data on feasibility of a neurof..:

Galvin-McLaughlin, Deirdre ; Klee, Daniel ; Memmott, Tab...
Contemporary Clinical Trials Communications. 28 (2022) - p. 100950 , 2022

Link: https://doi.org/10.1016/..

9

Active recursive Bayesian inference using Rényi information..:

Marghi, Yeganeh M. ; Koçanaoğulları, Aziz ; Akçakaya, Murat.
Pattern Recognition Letters. 154 (2022) - p. 90-98 , 2022

Link: https://doi.org/10.1016/..

10

Optimal modality selection using information transfer rate ..:

, In: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments,

Koçanaoğulları, Aziz ; Akçakaya, Murat ; Oken, Barry. - p. 1-7 , 2020

Link: https://dl.acm.org/doi/1..

11

An active recursive state estimation framework for brain-in..:

Koçanaoğulları, Aziz ; M. Marghi, Yeganeh ; Akçakaya, Murat.
Brain-Computer Interfaces. 6 (2019) 4 - p. 149-161 , 2019

Link: https://doi.org/10.1080/..

12

Recursive Estimation of User Intent from Noninvasive Electr..:

Smedemark-Margulies, Niklas ; Celik, Basak ; Imbiriba, Tales..
http://arxiv.org/abs/2211.02630. , 2022

Link: http://arxiv.org/abs/221..

13

Active recursive Bayesian inference using R\'enyi informati..:

Marghi, Yeganeh M ; Kocanaogullari, Aziz ; Akcakaya, Murat.
http://arxiv.org/abs/2004.03139. , 2020

Link: http://arxiv.org/abs/200..

14

Stopping Criterion Design for Recursive Bayesian Classifica..:

Kocanaogullari, Aziz ; Akcakaya, Murat ; Erdogmus, Deniz
http://arxiv.org/abs/2007.15568. , 2020

Link: http://arxiv.org/abs/200..

15

On Analysis of Active Querying for Recursive State Estimati..:

Koçanaoğulları, Aziz ; Akçakay, Murat ; Erdoğmuş, Deniz
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927333/. , 2018

Link: http://www.ncbi.nlm.nih...