| 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 | 118 | 2013 |
| 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 | 88 | 2017 |
| MIMO radar detection and adaptive design under a phase synchronization mismatch M Akçakaya, A Nehorai IEEE Transactions on Signal Processing 58 (10), 4994-5005, 2010 | 74 | 2010 |
| MIMO radar sensitivity analysis for target detection M Akcakaya, A Nehorai Radar Conference (RADAR), 2011 IEEE, 2011 | 73 | 2011 |
| 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 | 64 | 2023 |
| 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 | 61 | 2014 |
| 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 | 56 | 2018 |
| Adaptive MIMO radar design and detection in compound-Gaussian clutter M Akcakaya, A Nehorai IEEE Transactions on Aerospace and Electronic Systems 47 (3), 2200-2207, 2011 | 55 | 2011 |
| 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 | 51 | 2020 |
| 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 | 44 | 2015 |
| 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 | 38 | 2018 |
| Biologically inspired coupled antenna array for direction-of-arrival estimation M Akcakaya, CH Muravchik, A Nehorai IEEE transactions on signal processing 59 (10), 4795-4808, 2011 | 38 | 2011 |
| Performance analysis of the Ormia ochracea’s coupled ears M Akcakaya, A Nehorai The Journal of the Acoustical Society of America 124 (4), 2100-2105, 2008 | 38 | 2008 |
| Classification active learning based on mutual information J Sourati, M Akcakaya, JG Dy, TK Leen, D Erdogmus Entropy 18 (2), 51, 2016 | 33 | 2016 |
| Common spatial pattern and wavelet decomposition for motor imagery EEG-fTCD brain-computer interface A Khalaf, E Sejdic, M Akcakaya Journal of Neuroscience Methods 320, 98-106, 2019 | 32 | 2019 |
| Asymptotic analysis of objectives based on fisher information in active learning J Sourati, M Akcakaya, TK Leen, D Erdogmus, JG Dy Journal of Machine Learning Research 18 (34), 1-41, 2017 | 31 | 2017 |
| Automated pain assessment in children using electrodermal activity and video data fusion via machine learning BT Susam, NT Riek, M Akcakaya, X Xu, VR de Sa, H Nezamfar, D Diaz, ... IEEE Transactions on Biomedical Engineering 69 (1), 422-431, 2021 | 29 | 2021 |
| Recursive bayesian coding for bcis M Higger, F Quivira, M Akcakaya, M Moghadamfalahi, H Nezamfar, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (6 …, 2016 | 28 | 2016 |
| A probabilistic active learning algorithm based on fisher information ratio J Sourati, M Akcakaya, D Erdogmus, TK Leen, JG Dy IEEE transactions on pattern analysis and machine intelligence 40 (8), 2023-2029, 2017 | 27 | 2017 |
| Analysis of multimodal physiological signals within and between individuals to predict psychological challenge vs. threat A Khalaf, M Nabian, M Fan, Y Yin, J Wormwood, E Siegel, KS Quigley, ... Expert Systems with Applications 140, 112890, 2020 | 26* | 2020 |
Deniz ErdogmusProfessor of ECE, Northeastern UniversityПодтвержден адрес электронной почты в домене ece.neu.edu
