| 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 | 17 | 2018 |
| 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 | 11 | 2021 |
| Optimal query selection using multi-armed bandits A Koçanaoğulları, YM Marghi, M Akçakaya, D Erdoğmuş IEEE signal processing letters 25 (12), 1870-1874, 2018 | 9 | 2018 |
| On analysis of active querying for recursive state estimation A Koçanaoğulları, D Erdoğmuş, M Akçakaya IEEE signal processing letters 25 (6), 743-747, 2018 | 9 | 2018 |
| 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 | 3 | 2019 |
| Bcipy: A python framework for brain-computer interface research T Memmott, A Kocanaogullari, D Erdogmus, S Bedrick, B Peters, ... 7th International BCI meeting, 2018 | 3 | 2018 |
| Incorporating temporal dependency on erp based bci A Koçanaoğullari, F Quivira, D Erdoğmuş 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 3 | 2018 |
| 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 | 2 | 2019 |
| 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 | 1 | 2021 |
| A dereverberation formulation based on sparsity A Koçanaoğulları, İ Bayram 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 1 | 2015 |
| 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 |
Deniz ErdogmusProfessor of ECE, Northeastern University確認したメール アドレス: ece.neu.edu
