| 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 | 172 | 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 critical review on the impact of built environment on users’ measured brain activity S Azzazy, A Ghaffarianhoseini, A GhaffarianHoseini, N Naismith, ... Architectural Science Review 64 (4), 319-335, 2021 | 55 | 2021 |
| 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 | 54 | 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 | 53 | 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 | 52 | 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 |
| Longitudinal study of Alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model E Capecci, ZG Doborjeh, N Mammone, F La Foresta, FC Morabito, ... 2016 international joint conference on neural networks (ijcnn), 1360-1366, 2016 | 32 | 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 | 28 | 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 | 27 | 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 | 23 | 2020 |
| 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 | 20 | 2021 |
| 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 | 16 | 2023 |
| Personalized spiking neural network models of clinical and environmental factors to predict stroke M Doborjeh, Z Doborjeh, A Merkin, R Krishnamurthi, R Enayatollahi, ... Cognitive Computation 14 (6), 2187-2202, 2022 | 16 | 2022 |
| 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 | 16 | 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, ... Elsevier, 2020 | 16 | 2020 |
| Evaluation of consumers’ preference to the brands of beverage by means of ERP pre-comprehension component M Nazari, ZG Doborjeh, TA Oghaz, JS Fadardi, SAA Yazdi 2014 International Conference on Global Economy, Commerce and Service …, 2014 | 16 | 2014 |
| 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 |
| Personalised modelling with spiking neural networks integrating temporal and static information M Doborjeh, N Kasabov, Z Doborjeh, R Enayatollahi, E Tu, AH Gandomi Neural Networks 119, 162-177, 2019 | 14 | 2019 |
Maryam DoborjehAuckland University of Technology, New ZealandVerified email at aut.ac.nz
