フォロー
Aziz Koçanaoğulları
Aziz Koçanaoğulları
ADI - Analog Garage
確認したメール アドレス: analog.com
タイトル
引用先
引用先
Digital image decomposition and contrast enhancement using high-dimensional model representation
B Tunga, A Koçanaoğulları
Signal, Image and Video Processing 12 (2), 299-306, 2018
172018
BciPy: brain–computer interface software in python
T Memmott, A Koçanaoğulları, M Lawhead, D Klee, S Dudy, M Fried-Oken, ...
Brain-Computer Interfaces 8 (4), 137-153, 2021
112021
Optimal query selection using multi-armed bandits
A Koçanaoğulları, YM Marghi, M Akçakaya, D Erdoğmuş
IEEE signal processing letters 25 (12), 1870-1874, 2018
92018
On analysis of active querying for recursive state estimation
A Koçanaoğulları, D Erdoğmuş, M Akçakaya
IEEE signal processing letters 25 (6), 743-747, 2018
92018
An active recursive state estimation framework for brain-interfaced typing systems
A Koçanaoğulları, Y M. Marghi, M Akçakaya, D Erdoğmuş
Brain-Computer Interfaces 6 (4), 149-161, 2019
32019
Bcipy: A python framework for brain-computer interface research
T Memmott, A Kocanaogullari, D Erdogmus, S Bedrick, B Peters, ...
7th International BCI meeting, 2018
32018
Incorporating temporal dependency on erp based bci
A Koçanaoğullari, F Quivira, D Erdoğmuş
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
32018
A history-based stopping criterion in recursive bayesian state estimation
YM Marghi, A Koçanaoğulları, M Akçakaya, D Erdoğmuş
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
22019
Stopping criterion design for recursive Bayesian classification: analysis and decision geometry
A Kocanaogullari, M Akcakaya, D Erdogmus
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
12021
A dereverberation formulation based on sparsity
A Koçanaoğulları, İ Bayram
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
12015
Methodology and preliminary data on feasibility of a neurofeedback protocol to improve visual attention to letters in mild Alzheimer's disease
D Galvin-McLaughlin, D Klee, T Memmott, B Peters, J Wiedrick, ...
Contemporary Clinical Trials Communications 28, 100950, 2022
2022
Active recursive Bayesian inference using Rényi information measures
YM Marghi, A Koçanaoğulları, M Akçakaya, D Erdoğmuş
Pattern Recognition Letters 154, 90-98, 2022
2022
Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys
A Koçanaoğulları, C Ariyurek, O Afacan, S Kurugol
IEEE Access 10, 4102-4111, 2021
2021
Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer
A Koçanaoğulları, N Smedemark-Margulies, M Akcakaya, D Erdoğmuş
IEEE Signal Processing Letters 28, 867-871, 2021
2021
System for training descriptor with active sample selection
A Kocanaogullari, E Cansizoglu, RI Corcodel
US Patent 10,810,468, 2020
2020
Optimal modality selection using information transfer rate for event related potential driven brain computer interfaces
A Koçanaoğulları, M Akçakaya, B Oken, D Erdoğmuş
Proceedings of the 13th ACM International Conference on PErvasive …, 2020
2020
Active Recursive Bayesian Classification (Querying and Stopping) for Event Related Potential Driven Brain Computer Interface Systems
A Koçanaogullari
Northeastern University, 2020
2020
Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using α-Divergence.
YM Marghi, A Kocanaogullari, M Akçakaya, D Erdogmus
CoRR, 2020
2020
Active Descriptor Learning for Feature Matching
A Kocanaogullari, E Ataer-Cansizoglu
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
2018
Yankılaşım Gidermek İçin Seyreklik Tabanlı Düzenlemeler
A Koçanaoğulları
Fen Bilimleri Enstitüsü, 2016
2016
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20