| Diversity in independent component and vector analyses: Identifiability, algorithms, and applications in medical imaging T Adali, M Anderson, GS Fu IEEE Signal Processing Magazine 31 (3), 18-33, 2014 | 264 | 2014 |
| Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting M Sun, A Raju, G Tucker, S Panchapagesan, G Fu, A Mandal, ... 2016 IEEE spoken language technology workshop (SLT), 474-480, 2016 | 141 | 2016 |
| Model Compression Applied to Small-Footprint Keyword Spotting SV George Tucker, Minhua Wu, Ming Sun, Sankaran Panchapagesan, Gengshen Fu Interspeech, 2016 | 108* | 2016 |
| Dynamic wakeword detection G Fu, SNP Vitaladevuni, P McIntyre, S Wu US Patent 10,510,340, 2019 | 103 | 2019 |
| Independent vector analysis: Identification conditions and performance bounds M Anderson, GS Fu, R Phlypo, T Adalı IEEE Transactions on Signal Processing 62 (17), 4399-4410, 2014 | 101 | 2014 |
| Dynamic wakeword detection G Fu, SNP Vitaladevuni, P McIntyre, S Wu US Patent 10,777,189, 2020 | 88 | 2020 |
| Machine learning for medical imaging GS Fu, Y Levin-Schwartz, QH Lin, D Zhang Journal of healthcare engineering 2019, 2019 | 64 | 2019 |
| Blind source separation by entropy rate minimization GS Fu, R Phlypo, M Anderson, XL Li IEEE Transactions on Signal Processing 62 (16), 4245-4255, 2014 | 62 | 2014 |
| Independent vector analysis, the Kotz distribution, and performance bounds M Anderson, GS Fu, R Phlypo, T Adali 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 54 | 2013 |
| A novel approach for assessing reliability of ICA for FMRI analysis W Du, S Ma, GS Fu, VD Calhoun, T Adalı 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 53 | 2014 |
| Complex independent component analysis using three types of diversity: Non-Gaussianity, nonwhiteness, and noncircularity GS Fu, R Phlypo, M Anderson, T Adalı IEEE Transactions on Signal Processing 63 (3), 794-805, 2014 | 51 | 2014 |
| An efficient multivariate generalized Gaussian distribution estimator: Application to IVA Z Boukouvalas, GS Fu, T Adalı 2015 49th annual conference on information sciences and systems (CISS), 1-4, 2015 | 38 | 2015 |
| The role of diversity in complex ICA algorithms for fMRI analysis W Du, Y Levin-Schwartz, GS Fu, S Ma, VD Calhoun, T Adalı Journal of Neuroscience Methods 264, 129-135, 2016 | 35 | 2016 |
| Likelihood estimators for dependent samples and their application to order detection GS Fu, M Anderson, T Adalı IEEE transactions on signal processing 62 (16), 4237-4244, 2014 | 35 | 2014 |
| Performance of complex-valued ICA algorithms for fMRI analysis: Importance of taking full diversity into account W Du, GS Fu, VD Calhoun, T Adali 2014 IEEE International Conference on Image Processing (ICIP), 3612-3616, 2014 | 12 | 2014 |
| Algorithms for Markovian source separation by entropy rate minimization GS Fu, R Phlypo, M Anderson, XL Li, T Adalı 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 11 | 2013 |
| IVA and ICA: Use of diversity in independent decompositions T Adali, M Anderson, G Fu 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 11 | 2012 |
| Tiny-crnn: Streaming wakeword detection in a low footprint setting MO Khursheed, C Jose, R Kumar, G Fu, B Kulis, SK Cheekatmalla 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 9 | 2021 |
| A data-driven solution for abandoned object detection: Advantages of multiple types of diversity S Bhinge, Y Levin-Schwartz, GS Fu, B Pesquet-Popescu, T Adalı 2015 IEEE global conference on signal and information processing (GlobalSIP …, 2015 | 9 | 2015 |
| Metadata-aware end-to-end keyword spotting H Liu, A Abhyankar, Y Mishchenko, T Sénéchal, G Fu, B Kulis, N Stein, ... | 8 | 2020 |
Tulay AdaliDistinguished University Professor, University of Maryland, Baltimore CountyVerified email at umbc.edu