| An automated system for epilepsy detection using EEG brain signals based on deep learning approach I Ullah, M Hussain, H Aboalsamh Expert Systems with Applications 107, 61-71, 2018 | 552 | 2018 |
| Passive detection of image forgery using DCT and local binary pattern A Alahmadi, M Hussain, H Aboalsamh, G Muhammad, G Bebis, ... Signal, Image and Video Processing 11, 81-88, 2017 | 147 | 2017 |
| Splicing image forgery detection based on DCT and Local Binary Pattern AA Alahmadi, M Hussain, H Aboalsamh, G Muhammad, G Bebis 2013 IEEE Global Conference on Signal and Information Processing, 253-256, 2013 | 107 | 2013 |
| Emotion detection using electroencephalography signals and a zero-time windowing-based epoch estimation and relevant electrode identification S Gannouni, A Aledaily, K Belwafi, H Aboalsamh Scientific Reports 11 (1), 7071, 2021 | 100 | 2021 |
| A comparison of different Gabor feature extraction approaches for mass classification in mammography S Khan, M Hussain, H Aboalsamh, G Bebis Multimedia Tools and Applications 76, 33-57, 2017 | 100 | 2017 |
| Gender recognition from face images with local wld descriptor I Ullah, M Hussain, G Muhammad, H Aboalsamh, G Bebis, AM Mirza 2012 19th international conference on systems, signals and image processing …, 2012 | 88 | 2012 |
| Optimized Gabor features for mass classification in mammography S Khan, M Hussain, H Aboalsamh, H Mathkour, G Bebis, M Zakariah Applied Soft Computing 44, 267-280, 2016 | 68 | 2016 |
| Arabic question answering system: a survey TH Alwaneen, AM Azmi, HA Aboalsamh, E Cambria, A Hussain Artificial Intelligence Review 55 (1), 207-253, 2022 | 50 | 2022 |
| Cross-sensor fingerprint matching method based on orientation, gradient, and gabor-hog descriptors with score level fusion H Alshehri, M Hussain, HA Aboalsamh, MA Al Zuair IEEE Access 6, 28951-28968, 2018 | 49 | 2018 |
| Evaluating learning management systems for University medical education AI Albarrak, HA Aboalsamh, M Abouzahra 2010 International conference on education and management technology, 672-677, 2010 | 49 | 2010 |
| Automatic diabetic retinopathy diagnosis using adaptive fine-tuned convolutional neural network F Saeed, M Hussain, HA Aboalsamh IEEE Access 9, 41344-41359, 2021 | 48 | 2021 |
| Evaluation of image forgery detection using multi-scale weber local descriptors M Hussain, S Qasem, G Bebis, G Muhammad, H Aboalsamh, H Mathkour International Journal on Artificial Intelligence Tools 24 (4), 1540016, 2015 | 46 | 2015 |
| Survey on botnet: Its architecture, detection, prevention and mitigation I Ullah, N Khan, HA Aboalsamh 2013 10th IEEE International Conference on Networking, Sensing and Control …, 2013 | 46 | 2013 |
| Rhythm-based heartbeat duration normalization for atrial fibrillation detection MS Islam, N Ammour, N Alajlan, H Aboalsamh Computers in biology and medicine 72, 160-169, 2016 | 42 | 2016 |
| Race classification from face images using local descriptors G Muhammad, M Hussain, F Alenezy, G Bebis, AM Mirza, H Aboalsamh International Journal on Artificial Intelligence Tools 21 (05), 1250019, 2012 | 42 | 2012 |
| Comparison between WLD and LBP descriptors for non-intrusive image forgery detection M Hussain, SQ Saleh, H Aboalsamh, G Muhammad, G Bebis 2014 IEEE International Symposium on Innovations in Intelligent Systems and …, 2014 | 40 | 2014 |
| Short text classification for Arabic social media tweets SM Alzanin, AM Azmi, HA Aboalsamh Journal of King Saud University-Computer and Information Sciences 34 (9 …, 2022 | 32 | 2022 |
| Real-word errors in Arabic texts: A better algorithm for detection and correction AM Azmi, MN Almutery, HA Aboalsamh IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (8), 1308 …, 2019 | 32 | 2019 |
| A dynamic and self-adaptive classification algorithm for motor imagery EEG signals K Belwafi, S Gannouni, H Aboalsamh, H Mathkour, A Belghith Journal of neuroscience methods 327, 108346, 2019 | 31 | 2019 |
| Gender recognition using fusion of local and global facial features AM Mirza, M Hussain, H Almuzaini, G Muhammad, H Aboalsamh, G Bebis Advances in Visual Computing: 9th International Symposium, ISVC 2013 …, 2013 | 28 | 2013 |
Muhammad HussainProfessor, Department of Computer Science, King Saud UniversityVerified email at ksu.edu.sa
