Dr ALI Hassan
Dr ALI Hassan
Associate Professor, CEME, National University of Sciences & Technology, Pakistan
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Cited by
Cited by
EMD-based temporal and spectral features for the classification of EEG signals using supervised learning
F Riaz, A Hassan, S Rehman, IK Niazi, K Dremstrup
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (1), 28-35, 2015
On acoustic emotion recognition: compensating for covariate shift
A Hassan, R Damper, M Niranjan
IEEE Transactions on Audio, Speech, and Language Processing 21 (7), 1458-1468, 2013
Texture classification using rotation-and scale-invariant gabor texture features
F Riaz, A Hassan, S Rehman, U Qamar
IEEE Signal Processing Letters 20 (6), 607-610, 2013
Classification of emotional speech using 3DEC hierarchical classifier
A Hassan, RI Damper
Speech Communication 54 (7), 903-916, 2012
Multi-class and hierarchical SVMs for emotion recognition
A Hassan, RI Damper
Eleventh Annual Conference of the International Speech Communication Association, 2010
Detecting melanoma in dermoscopy images using scale adaptive local binary patterns
F Riaz, A Hassan, MY Javed, MT Coimbra
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
Artificial neural network based classification of lungs nodule using hybrid features from computerized tomographic images
S Akram, M Younus Javed, U Qamar, A Khanum, A Hassan
Applied Mathematics & Information Sciences 9 (1), 183-195, 2015
Content-Adaptive Region-Based Color Texture Descriptors for Medical Images
F Riaz, A Hassan, R Nisar, M Dinis-Ribeiro, M Coimbra
IEEE Journal of Biomedical and Health Informatics, 2015
Pulmonary Nodules Detection and Classification Using Hybrid Features from Computerized Tomographic Images
S Akram, M Javed, U Akram, U Qamar, A Hassan
Journal of Medical Imaging and Health Informatics, 2015
Pervasive blood pressure monitoring using Photoplethysmogram (PPG) sensor
F Riaz, MA Azad, J Arshad, M Imran, A Hassan, S Rehman
Future Generation Computer Systems 98, 120-130, 2019
Convolutional neural network based image segmentation: a review
H Ajmal, S Rehman, U Farooq, QU Ain, F Riaz, A Hassan
Pattern Recognition and Tracking XXIX 10649, 191-203, 2018
Emotion recognition from speech using extended feature selection and a simple classifier
A Hassan, RI Damper
Tenth Annual Conference of the International Speech Communication Association, 2009
Efficient Prediction and Classification of Epileptic Seizures using EEG data based on Univariate Linear Features
S Usman, A Hassan, F Riaz, Q Chaudry
Proceedings of 9th International Conference on Computer and Electrical …, 2016
Self-Paced Online vs. Cue-Based Offline Brain–Computer Interfaces for Inducing Neural Plasticity
M Jochumsen, MS Navid, RW Nedergaard, N Signal, U Rashid, A Hassan, ...
Brain sciences 9 (6), 127, 2019
Self-organizing hierarchical particle swarm optimization of correlation filters for object recognition
S Tehsin, S Rehman, MOB Saeed, F Riaz, A Hassan, M Abbas, R Young, ...
IEEE Access 5, 24495-24502, 2017
Daily sound recognition for elderly people using ensemble methods
A Shaukat, M Ahsan, A Hassan, F Riaz
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International …, 2014
A Survey of Deep Learning and Traditional Approaches for EEG Signal Processing and Classification
M Iftikhar, SA Khan, A Hassan
2018 IEEE 9th Annual Information Technology, Electronics and Mobile …, 2018
On automatic emotion classification using acoustic features
A Hassan
University of Southampton, 2012
Gaussian mixture model based probabilistic modeling of images for medical image segmentation
F Riaz, S Rehman, M Ajmal, R Hafiz, A Hassan, NR Aljohani, R Nawaz, ...
IEEE Access 8, 16846-16856, 2020
Movement intention detection in adolescents with cerebral palsy from single-trial EEG
M Jochumsen, M Shafique, A Hassan, IK Niazi
Journal of neural engineering 15 (6), 066030, 2018
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