| Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications N Kasabov, NM Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ... Neural Networks 78, 1-14, 2016 | 166 | 2016 |
| Artificial intelligence: a systematic review of methods and applications in hospitality and tourism Z Doborjeh, N Hemmington, M Doborjeh, N Kasabov International Journal of Contemporary Hospitality Management 34 (3), 1154-1176, 2022 | 142 | 2022 |
| Mapping, learning, visualization, classification, and understanding of fMRI data in the NeuCube evolving spatiotemporal data machine of spiking neural networks NK Kasabov, MG Doborjeh, ZG Doborjeh IEEE transactions on neural networks and learning systems 28 (4), 887-899, 2016 | 83 | 2016 |
| A spiking neural network methodology and system for learning and comparative analysis of EEG data from healthy versus addiction treated versus addiction not treated subjects MG Doborjeh, GY Wang, NK Kasabov, R Kydd, B Russell IEEE transactions on biomedical engineering 63 (9), 1830-1841, 2015 | 78 | 2015 |
| Modelling peri-perceptual brain processes in a deep learning spiking neural network architecture Z Gholami Doborjeh, N Kasabov, M Gholami Doborjeh, A Sumich Scientific reports 8 (1), 8912, 2018 | 51 | 2018 |
| Attentional bias pattern recognition in spiking neural networks from spatio-temporal EEG data Z Gholami Doborjeh, MG Doborjeh, N Kasabov Cognitive Computation 10, 35-48, 2018 | 51 | 2018 |
| New algorithms for encoding, learning and classification of fMRI data in a spiking neural network architecture: A case on modeling and understanding of dynamic cognitive processes N Kasabov, L Zhou, MG Doborjeh, ZG Doborjeh, J Yang IEEE Transactions on Cognitive and Developmental Systems 9 (4), 293-303, 2016 | 51 | 2016 |
| Spiking neural network modelling approach reveals how mindfulness training rewires the brain Z Doborjeh, M Doborjeh, T Taylor, N Kasabov, GY Wang, R Siegert, ... Scientific reports 9 (1), 6367, 2019 | 49 | 2019 |
| Classification and segmentation of fMRI spatio-temporal brain data with a NeuCube evolving spiking neural network model MG Doborjeh, E Capecci, N Kasabov 2014 IEEE symposium on evolving and autonomous learning systems (EALS), 73-80, 2014 | 38 | 2014 |
| Design methodology and selected applications of evolving spatio-temporal data machines in the NeuCube neuromorphic framework N Kasabov, N Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ... Neural Networks 78 (2016)), 1-14, 2016 | 34 | 2016 |
| Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data MG Doborjeh, N Kasabov, ZG Doborjeh Evolving systems 9, 195-211, 2018 | 29 | 2018 |
| Deep learning of eeg data in the neucube brain-inspired spiking neural network architecture for a better understanding of depression D Shah, GY Wang, M Doborjeh, Z Doborjeh, N Kasabov Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 26 | 2019 |
| A state-of-art review of digital technologies for the next generation of tinnitus therapeutics GD Searchfield, PJ Sanders, Z Doborjeh, M Doborjeh, R Boldu, K Sun, ... Frontiers in digital health 3, 724370, 2021 | 25 | 2021 |
| Interpretability of spatiotemporal dynamics of the brain processes followed by mindfulness intervention in a brain-inspired spiking neural network architecture Z Doborjeh, M Doborjeh, M Crook-Rumsey, T Taylor, GY Wang, D Moreau, ... Sensors 20 (24), 7354, 2020 | 21 | 2020 |
| Dynamic 3D clustering of spatio-temporal brain data in the NeuCube spiking neural network architecture on a case study of fMRI data MG Doborjeh, N Kasabov Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 18 | 2015 |
| Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia M Doborjeh, Z Doborjeh, A Merkin, H Bahrami, A Sumich, ... Neural Networks 144, 522-539, 2021 | 17 | 2021 |
| Prediction of tinnitus masking benefit within a case series using a spiking neural network model M Durai, P Sanders, Z Doborjeh, M Doborjeh, A Wendt, N Kasabov, ... Progress in Brain Research 260, 129-165, 2021 | 16 | 2021 |
| Prediction of acoustic residual inhibition of tinnitus using a brain-inspired spiking neural network model PJ Sanders, ZG Doborjeh, MG Doborjeh, NK Kasabov, GD Searchfield Brain Sciences 11 (1), 52, 2021 | 15 | 2021 |
| New avenue for the geriatric depression scale: Rasch transformation enhances reliability of assessment AG Merkin, ON Medvedev, PS Sachdev, L Tippett, R Krishnamurthi, ... Journal of Affective Disorders 264, 7-14, 2020 | 15 | 2020 |
| Prediction of tinnitus treatment outcomes based on EEG sensors and TFI score using deep learning M Doborjeh, X Liu, Z Doborjeh, Y Shen, G Searchfield, P Sanders, ... Sensors 23 (2), 902, 2023 | 14 | 2023 |
Prof. Nikola Kasabov, LFIEEE, FRSNZ,...Auckland University of Technology; IICT Bulgarian Academy of Sciences; knowledgeengineering.aiVerified email at aut.ac.nz
