Aziz Koçanaoğulları
Aziz Koçanaoğulları
Harvard Medical School
確認したメール アドレス: childrens.harvard.edu
タイトル
引用先
引用先
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
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
92018
Optimal query selection using multi-armed bandits
A Koçanaoğulları, YM Marghi, M Akçakaya, D Erdoğmuş
IEEE signal processing letters 25 (12), 1870-1874, 2018
82018
BciPy: brain–computer interface software in Python
T Memmott, A Koçanaoğulları, M Lawhead, D Klee, S Dudy, M Fried-Oken, ...
Brain-Computer Interfaces, 1-18, 2021
32021
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
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
22019
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
Bcipy: A python framework for brain-computer interface research
T Memmott, A Kocanaogullari, D Erdogmus, S Bedrick, B Peters, ...
7th International BCI meeting, 2018
22018
A dereverberation formulation based on sparsity
A Koçanaoğulları, İ Bayram
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
12015
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
2021
Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer
A Kocanaogullari, N Smedemark-Margulies, M Akcakaya, D Erdogmus
IEEE Signal Processing Letters, 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 inference using R\'enyi information measures
YM Marghi, A Kocanaogullari, M Akcakaya, D Erdogmus
arXiv preprint arXiv:2004.03139, 2020
2020
Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using -Divergence
YM Marghi, A Kocanaogullari, M Akcakaya, D Erdogmus
arXiv preprint arXiv:2004.03139, 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 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
A dereverberation formulation employing phase information
A Koçanaoğulları, İ Bayram
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
2016
A Minimization Formulation for Source Separation with a Microphone Array
İ Bayram, A Koçanaoğulları
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
2015
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