| Hangman BCI: An unsupervised adaptive self-paced brain–computer interface for playing games BAS Hasan, JQ Gan Computers in biology and medicine 42 (5), 598-606, 2012 | 57 | 2012 |
| Electrophysiologic features of SYT2 mutations causing a treatable neuromuscular syndrome RG Whittaker, DN Herrmann, B Bansagi, BAS Hasan, RM Lofra, ... Neurology 85 (22), 1964-1971, 2015 | 56 | 2015 |
| “Hearing faces and seeing voices”: Amodal coding of person identity in the human brain B Awwad Shiekh Hasan, M Valdes-Sosa, J Gross, P Belin Scientific reports 6 (1), 37494, 2016 | 49 | 2016 |
| A filter-dominating hybrid sequential forward floating search method for feature subset selection in high-dimensional space JQ Gan, B Awwad Shiekh Hasan, CSL Tsui International Journal of Machine Learning and Cybernetics 5, 413-423, 2014 | 46 | 2014 |
| Sequential EM for unsupervised adaptive Gaussian mixture model based classifier B Awwad Shiekh Hasan, JQ Gan International Workshop on Machine Learning and Data Mining in Pattern …, 2009 | 46 | 2009 |
| It doesn't matter what you say: FMRI correlates of voice learning and recognition independent of speech content R Zäske, BAS Hasan, P Belin Cortex 94, 100-112, 2017 | 40 | 2017 |
| Multi-objective evolutionary methods for channel selection in brain-computer interfaces: some preliminary experimental results B Awwad Shiekh Hasan, JQ Gan, Q Zhang IEEE Congress on Evolutionary Computation, Barcelona, Spain, 3339-3344, 2010 | 39* | 2010 |
| Gender differences in the temporal voice areas MM Ahrens, B Awwad Shiekh Hasan, BL Giordano, P Belin Frontiers in neuroscience 8, 78129, 2014 | 36 | 2014 |
| Unsupervised movement onset detection from EEG recorded during self-paced real hand movement B Awwad Shiekh Hasan, JQ Gan Medical & biological engineering & computing 48, 245-253, 2010 | 35 | 2010 |
| Unsupervised adaptive GMM for BCI BAS Hasan, JQ Gan 2009 4th International IEEE/EMBS Conference on Neural Engineering, 295-298, 2009 | 26 | 2009 |
| Multi-objective particle swarm optimization for channel selection in brain-computer interfaces BAS Hasan, JQ Gan University of Nottingham, 2009 | 21 | 2009 |
| Conditional random fields as classifiers for three-class motor-imagery brain–computer interfaces BAS Hasan, JQ Gan Journal of neural engineering 8 (2), 025013, 2011 | 18 | 2011 |
| Binary-sdmopso and its application in channel selection for brain-computer interfaces N Al Moubayed, BAS Hasan, JQ Gan, A Petrovski, J McCall 2010 UK Workshop on Computational Intelligence (UKCI), 1-6, 2010 | 18 | 2010 |
| Estimation of internal noise using double passes: Does it matter how the second pass is delivered? BAS Hasan, E Joosten, P Neri Vision research 69, 1-9, 2012 | 17 | 2012 |
| Agree to disagree: When deep learning models with identical architectures produce distinct explanations M Watson, BAS Hasan, N Al Moubayed Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 16 | 2022 |
| Temporal modeling of EEG during self-paced hand movement and its application in onset detection BAS Hasan, JQ Gan Journal of neural engineering 8 (5), 056015, 2011 | 16 | 2011 |
| Adaptive methods exploiting the time structure in EEG for self-paced brain-computer interfaces B Awwad Shiekh Hasan The University of Essex, 2011 | 11 | 2011 |
| Continuous presentation for multi-objective channel selection in brain-computer interfaces N Al Moubayed, BAS Hasan, JQ Gan, A Petrovski, J McCall 2012 IEEE Congress on Evolutionary Computation, 1-7, 2012 | 9 | 2012 |
| A hybrid approach to feature subset selection for brain-computer interface design JQ Gan, B Awwad Shiekh Hasan, CSL Tsui Intelligent Data Engineering and Automated Learning-IDEAL 2011: 12th …, 2011 | 9 | 2011 |
| Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling N Al Moubayed, S McGough, BAS Hasan PeerJ Computer Science 6, e252, 2020 | 8 | 2020 |
John Q GanEssex University, School of Computer Science and Electronic EngineeringVerified email at essex.ac.uk
