Artykuły udostępnione publicznie: - Murat AkcakayaWięcej informacji
Niedostępne w żadnym miejscu: 11
A Bayesian framework for intent detection and stimulation selection in SSVEP BCIs
M Higger, M Akcakaya, H Nezamfar, G LaMountain, U Orhan, ...
IEEE Signal Processing Letters 22 (6), 743-747, 2014
Upoważnienia: US National Institutes of Health
EEG-based functional connectivity to analyze motor recovery after stroke: a pilot study
S Eldeeb, M Akcakaya, M Sybeldon, S Foldes, E Santarnecchi, ...
Biomedical Signal Processing and Control 49, 419-426, 2019
Upoważnienia: US National Institutes of Health
Sparse recovery for clutter identification in radar measurements
M Kelsey, S Sen, Y Xiang, A Nehorai, M Akcakaya
Compressive Sensing VI: From Diverse Modalities to Big Data Analytics 10211 …, 2017
Upoważnienia: US Department of Energy, US Department of Defense
Dictionary learning and sparse recovery for electrodermal activity analysis
M Kelsey, A Dallal, S Eldeeb, M Akcakaya, I Kleckner, C Gerard, ...
Compressive Sensing V: From Diverse Modalities to Big Data Analytics 9857 …, 2016
Upoważnienia: US National Science Foundation
Active learning for efficient querying from a human oracle with noisy response in a language-model assisted brain computer interface
M Moghadamfalahi, J Sourati, M Akcakaya, H Nezamfar, M Haghighi, ...
2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015
Upoważnienia: US National Institutes of Health
An adaptive proportional BCI-controller for linear dynamic systems
GE Yazdi, H Nezamfar, M Moghadamfalahi, M Akcakaya, B Shafai, ...
2018 World Automation Congress (WAC), 1-5, 2018
Upoważnienia: US National Science Foundation, US National Institutes of Health
Assessing subsets of analytes in context of detecting laboratory errors
J Sourati, SC Kazmierczak, M Akçakaya, JG Dy, TK Leen, D Erdogmus
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Upoważnienia: US National Science Foundation
Dirichlet Priors for MAP Inference of Protein Conformation Abundances from SAXS
AE Onuk, M Akcakaya, J Bardhan, D Erdogmus, DH Brooks, L Makowski
Journal of Signal Processing Systems 90, 167-174, 2018
Upoważnienia: US National Science Foundation, US National Institutes of Health
Utilization of temporal trial dependency in erp based bcis
U Orhan, D Fernandez-Canellas, M Akcakaya, DH Brooks, D Erdogmus
2014 48th Asilomar Conference on Signals, Systems and Computers, 26-30, 2014
Upoważnienia: US National Institutes of Health
Active Recursive Bayesian State Estimation for Big Biological Data 1
M Moghadamfalahi, M Akcakaya, D Erdogmus
Signal Processing and Machine Learning for Biomedical Big Data, 115-132, 2018
Upoważnienia: US National Science Foundation, US National Institutes of Health, US …
Maximum a posteriori estimation of relative abundances of protein conformations
AE Onuk, M Akcakaya, J Bardhan, D Erdogmus, DH Brooks, L Makowski
2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015
Upoważnienia: US National Institutes of Health
Dostępne w jakimś miejscu: 71
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
SS Al-Zaiti, C Martin-Gill, JK Zègre-Hemsey, Z Bouzid, Z Faramand, ...
Nature Medicine 29 (7), 1804-1813, 2023
Upoważnienia: US National Institutes of Health
Noninvasive brain–computer interfaces for augmentative and alternative communication
M Akcakaya, B Peters, M Moghadamfalahi, AR Mooney, U Orhan, B Oken, ...
IEEE reviews in biomedical engineering 7, 31-49, 2013
Upoważnienia: US National Institutes of Health
Simple, transparent, and flexible automated quality assessment procedures for ambulatory electrodermal activity data
IR Kleckner, RM Jones, O Wilder-Smith, JB Wormwood, M Akcakaya, ...
IEEE Transactions on Biomedical Engineering 65 (7), 1460-1467, 2017
Upoważnienia: US Department of Defense, US National Institutes of Health
Automated pain assessment using electrodermal activity data and machine learning
BT Susam, M Akcakaya, H Nezamfar, D Diaz, X Xu, VR de Sa, KD Craig, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Upoważnienia: US National Institutes of Health
Moving towards a real-time system for automatically recognizing stereotypical motor movements in individuals on the autism spectrum using wireless accelerometry
MS Goodwin, M Haghighi, Q Tang, M Akcakaya, D Erdogmus, S Intille
Proceedings of the 2014 ACM international joint conference on pervasive and …, 2014
Upoważnienia: US National Institutes of Health
Automated control of transactive hvacs in energy distribution systems
B Liu, M Akcakaya, TE McDermott
IEEE Transactions on Smart Grid 12 (3), 2462-2471, 2020
Upoważnienia: US Department of Energy
Language-model assisted brain computer interface for typing: A comparison of matrix and rapid serial visual presentation
M Moghadamfalahi, U Orhan, M Akcakaya, H Nezamfar, M Fried-Oken, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 23 (5 …, 2015
Upoważnienia: US National Institutes of Health
Automated pain detection in facial videos of children using human-assisted transfer learning
X Xu, KD Craig, D Diaz, MS Goodwin, M Akcakaya, BT Susam, JS Huang, ...
International Workshop on Artificial Intelligence in Health, 162-180, 2018
Upoważnienia: US National Science Foundation, US National Institutes of Health
Classification active learning based on mutual information
J Sourati, M Akcakaya, JG Dy, TK Leen, D Erdogmus
Entropy 18 (2), 51, 2016
Upoważnienia: US National Science Foundation, US National Institutes of Health
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