| Speaker identification features extraction methods: A systematic review SS Tirumala, SR Shahamiri, AS Garhwal, R Wang Expert Systems with Applications 90, 250-271, 2017 | 231 | 2017 |
| A systematic review of scholar context-aware recommender systems ZD Champiri, SR Shahamiri, SSB Salim Expert Systems with Applications 42 (3), 1743-1758, 2015 | 176 | 2015 |
| Speech vision: An end-to-end deep learning-based dysarthric automatic speech recognition system SR Shahamiri IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 852-861, 2021 | 116 | 2021 |
| A comparative study on automated software test oracle methods SR Shahamiri, WMNW Kadir, SZ Mohd-Hashim 2009 fourth international conference on software engineering advances, 140-145, 2009 | 112 | 2009 |
| Autism AI: a new autism screening system based on artificial intelligence SR Shahamiri, F Thabtah Cognitive Computation 12 (4), 766-777, 2020 | 104 | 2020 |
| Artificial neural networks as speech recognisers for dysarthric speech: Identifying the best-performing set of MFCC parameters and studying a speaker-independent approach SR Shahamiri, SSB Salim Advanced Engineering Informatics 28 (1), 102-110, 2014 | 92 | 2014 |
| An automated framework for software test oracle SR Shahamiri, WMNW Kadir, S Ibrahim, SZM Hashim Information and Software Technology 53 (7), 774-788, 2011 | 82 | 2011 |
| Least Loss: A simplified filter method for feature selection F Thabtah, F Kamalov, S Hammoud, SR Shahamiri Information Sciences 534, 1-15, 2020 | 65 | 2020 |
| A review on deep learning approaches in speaker identification SS Tirumala, SR Shahamiri Proceedings of the 8th international conference on signal processing systems …, 2016 | 64 | 2016 |
| A multi-views multi-learners approach towards dysarthric speech recognition using multi-nets artificial neural networks SR Shahamiri, SSB Salim IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (5 …, 2014 | 63 | 2014 |
| Real-time frequency-based noise-robust Automatic Speech Recognition using Multi-Nets Artificial Neural Networks: A multi-views multi-learners approach SR Shahamiri, SS Binti Salim Neurocomputing 129, 199-207, 2014 | 61 | 2014 |
| Artificial neural networks as multi-networks automated test oracle SR Shahamiri, WMN Wan-Kadir, S Ibrahim, SZM Hashim Automated Software Engineering 19, 303-334, 2012 | 61 | 2012 |
| Adaptive neuro-fuzzy inference system for evaluating dysarthric automatic speech recognition (ASR) systems: a case study on MVML-based ASR A Asemi, SSB Salim, SR Shahamiri, A Asemi, N Houshangi Soft Computing 23, 3529-3544, 2019 | 29 | 2019 |
| A deep autoencoder approach for speaker identification SS Tirumala, SR Shahamiri Proceedings of the 9th international conference on signal processing systems …, 2017 | 24 | 2017 |
| The role of context for recommendations in digital libraries ZD Champiri, SSB Salim, SR Shahamiri International Journal of Social Science and Humanity 5 (11), 948, 2015 | 24 | 2015 |
| A single-network ANN-based oracle to verify logical software modules SR Shahamiri, WMNW Kadir, S Ibrahim 2010 2nd international conference on software technology and engineering 2 …, 2010 | 21 | 2010 |
| Dysarthric speech transformer: A sequence-to-sequence dysarthric speech recognition system SR Shahamiri, V Lal, D Shah IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 | 18 | 2023 |
| A new classification system for autism based on machine learning of artificial intelligence SR Shahamiri, F Thabtah, N Abdelhamid Technology and Health Care 30 (3), 605-622, 2022 | 18 | 2022 |
| An automated oracle approach to test decision-making structures SR Shahamiri, WMNW Kadir, S bin Ibrahim 2010 3rd International Conference on Computer Science and Information …, 2010 | 17 | 2010 |
| Speech and language processing with deep learning for dementia diagnosis: A systematic review M Shi, G Cheung, SR Shahamiri Psychiatry Research, 115538, 2023 | 11 | 2023 |
Wan Mohd Nasir Wan KadirUniversiti Teknologi MalaysiaVerified email at utm.my
