| Learning representations from EEG with deep recurrent-convolutional neural networks P Bashivan, I Rish, M Yeasin, N Codella arXiv preprint arXiv:1511.06448, 2015 | 895 | 2015 |
| Eigen-cam: Class activation map using principal components MB Muhammad, M Yeasin 2020 international joint conference on neural networks (IJCNN), 1-7, 2020 | 411 | 2020 |
| Recognition of facial expressions and measurement of levels of interest from video M Yeasin, B Bullot, R Sharma IEEE Transactions on Multimedia 8 (3), 500-508, 2006 | 323 | 2006 |
| Speech-gesture driven multimodal interfaces for crisis management R Sharma, M Yeasin, N Krahnstoever, I Rauschert, G Cai, I Brewer, ... Proceedings of the IEEE 91 (9), 1327-1354, 2003 | 175 | 2003 |
| Visual understanding of dynamic hand gestures M Yeasin, S Chaudhuri Pattern Recognition 33 (11), 1805-1817, 2000 | 144 | 2000 |
| From facial expression to level of interest: a spatio-temporal approach M Yeasin, B Bullot, R Sharma Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 143 | 2004 |
| Prosody based audio/visual co-analysis for co-verbal gesture recognition R Sharma, M Yeasin, S Kettebekov US Patent 7,321,854, 2008 | 137 | 2008 |
| A real-time framework for natural multimodal interaction with large screen displays N Krahnstoever, S Kettebekov, M Yeasin, R Sharma Proceedings. Fourth IEEE International Conference on Multimodal Interfaces …, 2002 | 122 | 2002 |
| Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity P Bashivan, GM Bidelman, M Yeasin European Journal of Neuroscience 40 (12), 3774-3784, 2014 | 112 | 2014 |
| Low‐voltage fast seizures in humans begin with increased interneuron firing B Elahian, NE Lado, E Mankin, S Vangala, A Misra, K Moxon, I Fried, ... Annals of neurology 84 (4), 588-600, 2018 | 105 | 2018 |
| Prediction of membrane proteins using split amino acid and ensemble classification M Hayat, A Khan, M Yeasin Amino acids 42, 2447-2460, 2012 | 95 | 2012 |
| Multi-modal gender classification using support vector machines (SVMs) R Sharma, M Yeasin, L Walavalkar US Patent App. 10/271,911, 2003 | 89 | 2003 |
| The effectiveness of pedagogical agents’ prompting and feedback in facilitating co-adapted learning with MetaTutor R Azevedo, RS Landis, R Feyzi-Behnagh, M Duffy, G Trevors, JM Harley, ... Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012 | 87 | 2012 |
| Imputation of missing values for electronic health record laboratory data J Li, XS Yan, D Chaudhary, V Avula, S Mudiganti, H Husby, S Shahjouei, ... NPJ digital medicine 4 (1), 147, 2021 | 71 | 2021 |
| Identifying seizure onset zone from electrocorticographic recordings: a machine learning approach based on phase locking value B Elahian, M Yeasin, B Mudigoudar, JW Wheless, A Babajani-Feremi Seizure 51, 35-42, 2017 | 62 | 2017 |
| Semantically linking and browsing PubMed abstracts with gene ontology BC Vanteru, JS Shaik, M Yeasin BMC genomics 9, 1-11, 2008 | 58 | 2008 |
| Design, development and performance evaluation of reconfigured mobile Android phone for people who are blind or visually impaired AS Shaik, G Hossain, M Yeasin Proceedings of the 28th ACM International Conference on Design of …, 2010 | 56 | 2010 |
| Learning representations from EEG with deep recurrent-convolutional neural networks. arXiv 2015 P Bashivan, I Rish, M Yeasin, N Codella arXiv preprint arXiv:1511.06448, 2015 | 55 | 2015 |
| Age-related hearing loss increases full-brain connectivity while reversing directed signaling within the dorsal–ventral pathway for speech GM Bidelman, MS Mahmud, M Yeasin, D Shen, SR Arnott, C Alain Brain Structure and Function 224, 2661-2676, 2019 | 52 | 2019 |
| Eigen-CAM: Visual explanations for deep convolutional neural networks M Bany Muhammad, M Yeasin SN Computer Science 2 (1), 47, 2021 | 51 | 2021 |
