A novel focal tversky loss function with improved attention u-net for lesion segmentation N Abraham, NM Khan 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 963 | 2019 |
Towards Alzheimer's disease classification through transfer learning M Hon, NM Khan 2017 IEEE International conference on bioinformatics and biomedicine (BIBM …, 2017 | 334 | 2017 |
DLIME: A deterministic local interpretable model-agnostic explanations approach for computer-aided diagnosis systems MR Zafar, NM Khan arXiv preprint arXiv:1906.10263, 2019 | 223 | 2019 |
Deterministic local interpretable model-agnostic explanations for stable explainability MR Zafar, N Khan Machine Learning and Knowledge Extraction 3 (3), 525-541, 2021 | 192 | 2021 |
Transfer learning with intelligent training data selection for prediction of Alzheimer’s disease NM Khan, N Abraham, M Hon IEEE Access 7, 72726-72735, 2019 | 185 | 2019 |
A novel SVM+ NDA model for classification with an application to face recognition NM Khan, R Ksantini, IS Ahmad, B Boufama Pattern Recognition 45 (1), 66-79, 2012 | 113 | 2012 |
Systems and methods for a shared mixed reality experience L Guan, K Matthew, S Krishna, JRT Bond, N Dong, NM Khan, X Nan, Y He, ... US Patent 9,940,897, 2018 | 111 | 2018 |
Trends in heart-rate variability signal analysis S Ishaque, N Khan, S Krishnan Frontiers in Digital Health 3, 639444, 2021 | 110 | 2021 |
ECG heartbeat classification using multimodal fusion Z Ahmad, A Tabassum, L Guan, NM Khan IEEE Access 9, 100615-100626, 2021 | 104 | 2021 |
Deep clustering with a dynamic autoencoder N Mrabah, NM Khan, R Ksantini, Z Lachiri arXiv preprint arXiv:1901.07752, 2019 | 93* | 2019 |
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019) N Abraham, NM Khan IEEE, 2019 | 83 | 2019 |
A multi-stream graph convolutional networks-hidden conditional random field model for skeleton-based action recognition K Liu, L Gao, NM Khan, L Qi, L Guan IEEE Transactions on Multimedia 23, 64-76, 2020 | 60 | 2020 |
Human Action Recognition Using Deep Multilevel Multimodal ( ) Fusion of Depth and Inertial Sensors Z Ahmad, N Khan IEEE Sensors Journal 20 (3), 1445-1455, 2019 | 59 | 2019 |
Physiological signal analysis and classification of stress from virtual reality video game S Ishaque, A Rueda, B Nguyen, N Khan, S Krishnan 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 51 | 2020 |
Covariance-guided one-class support vector machine NM Khan, R Ksantini, IS Ahmad, L Guan Pattern Recognition 47 (6), 2165-2177, 2014 | 51 | 2014 |
Facial expression recognition under partial occlusion from virtual reality headsets based on transfer learning B Houshmand, NM Khan 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 70-75, 2020 | 46 | 2020 |
CNN-based multistage gated average fusion (MGAF) for human action recognition using depth and inertial sensors Z Ahmad, N Khan IEEE Sensors Journal 21 (3), 3623-3634, 2020 | 45 | 2020 |
Inertial sensor data to image encoding for human action recognition Z Ahmad, N Khan IEEE Sensors Journal 21 (9), 10978-10988, 2021 | 39 | 2021 |
A machine intelligence approach to virtual ballet training P Muneesawang, NM Khan, M Kyan, RB Elder, N Dong, G Sun, H Li, ... IEEE MultiMedia 22 (4), 80-92, 2015 | 36 | 2015 |
A survey on physiological signal-based emotion recognition Z Ahmad, N Khan Bioengineering 9 (11), 688, 2022 | 35 | 2022 |