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Maryam Gholami Doborjeh
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2020 – today
- 2023
- [j16]Mark Crook-Rumsey
, Christina J. Howard
, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Josafath Israel Espinosa Ramos, Nikola K. Kasabov, Alexander Sumich
:
Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment. Cogn. Comput. 15(4): 1273-1299 (2023) - [j15]Maryam Gholami Doborjeh, Xiaoxu Liu, Zohreh Gholami Doborjeh, Yuanyuan Shen, Grant Searchfield, Philip J. Sanders
, Grace Y. Wang
, Alexander Sumich
, Wei Qi Yan
:
Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning. Sensors 23(2): 902 (2023) - [j14]Munish Rathee
, Boris Bacic
, Maryam Gholami Doborjeh:
Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review. Sensors 23(12): 5656 (2023) - [j13]Nikola K. Kasabov
, Yongyao Tan, Maryam Gholami Doborjeh, Enmei Tu
, Jie Yang
, Wilson Wen Bin Goh, Jimmy Lee
:
Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data. IEEE Trans. Fuzzy Syst. 31(12): 4542-4552 (2023) - [c11]Sugam Budhraja
, Balkaran Singh, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Samuel Tan, Edmund Lai, Wilson Wen Bin Goh, Nikola K. Kasabov:
Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis. IJCNN 2023: 1-8 - 2022
- [j12]Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Alexander Merkin, Rita Krishnamurthi, Reza Enayatollahi, Valery Feigin, Nikola K. Kasabov:
Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. Cogn. Comput. 14(6): 2187-2202 (2022) - [e1]Laurence A. F. Park
, Heitor Murilo Gomes
, Maryam Gholami Doborjeh
, Yee Ling Boo
, Yun Sing Koh
, Yanchang Zhao
, Graham Williams
, Simeon Simoff
:
Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings. Communications in Computer and Information Science 1741, Springer 2022, ISBN 978-981-19-8745-8 [contents] - 2021
- [j11]Grant D. Searchfield
, Philip J. Sanders
, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Roger Boldu, Kevin Sun, Amit Barde:
A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics. Frontiers Digit. Health 3: 724370 (2021) - [j10]Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Alexander Merkin, Helena Bahrami, Alexander Sumich, Rita Krishnamurthi, Oleg N. Medvedev
, Mark Crook-Rumsey, Catherine Morgan, Ian J. Kirk
, Perminder S. Sachdev
, Henry Brodaty, Kristan Kang, Wei Wen, Valery Feigin, Nikola K. Kasabov:
Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. Neural Networks 144: 522-539 (2021) - [j9]Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov
, Molood Barati, Grace Y. Wang
:
Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network. Sensors 21(14): 4900 (2021) - [c10]Wael Alzhrani, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov:
Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture. IJCNN 2021: 1-9 - 2020
- [j8]Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Mark Crook-Rumsey, Tamasin Taylor, Grace Y. Wang
, David Moreau, Christian U. Krägeloh
, Wendy Wrapson
, Richard J. Siegert, Nikola K. Kasabov
, Grant Searchfield
, Alexander Sumich
:
Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture. Sensors 20(24): 7354 (2020) - [c9]Sugam Budhraja, Basabdatta Sen Bhattacharya
, Simon Durrant, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
:
Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j7]Maryam Gholami Doborjeh, Nikola K. Kasabov
, Zohreh Gholami Doborjeh, Reza Enayatollahi, Enmei Tu, Amir H. Gandomi
:
Personalised modelling with spiking neural networks integrating temporal and static information. Neural Networks 119: 162-177 (2019) - [c8]Dhvani Shah, Grace Y. Wang
, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov
:
Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression. ICONIP (3) 2019: 195-206 - 2018
- [j6]Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
:
Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data. Cogn. Comput. 10(1): 35-48 (2018) - [j5]Maryam Gholami Doborjeh, Nikola K. Kasabov
, Zohreh Gholami Doborjeh:
Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data. Evol. Syst. 9(3): 195-211 (2018) - [c7]Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
:
EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes. IJCNN 2018: 1-7 - 2017
- [j4]Nikola K. Kasabov
, Lei Zhou, Maryam Gholami Doborjeh
, Zohreh Gholami Doborjeh, Jie Yang:
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. IEEE Trans. Cogn. Dev. Syst. 9(4): 293-303 (2017) - [j3]Nikola K. Kasabov
, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh:
Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(4): 887-899 (2017) - [c6]Yuma Omori, Hideaki Kawano, Akinori Seo, Zohreh Gholami Doborjeh, Nikola K. Kasabov
, Maryam Gholami Doborjeh:
EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube. ICONIP (4) 2017: 596-601 - 2016
- [j2]Nikola K. Kasabov
, Nathan Matthew Scott, Enmei Tu, Stefan Marks
, Neelava Sengupta, Elisa Capecci
, Muhaini Othman
, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio N. Hartono, Josafath Israel Espinosa Ramos
, Lei Zhou, Fahad Bashir Alvi, Grace Y. Wang
, Denise Taylor
, Valery Feigin
, Sergei Gulyaev
, Mahmoud S. Mahmoud
, Zeng-Guang Hou, Jie Yang:
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks 78: 1-14 (2016) - [j1]Maryam Gholami Doborjeh, Grace Y. Wang
, Nikola K. Kasabov
, Robert Kydd, Bruce Russell
:
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. IEEE Trans. Biomed. Eng. 63(9): 1830-1841 (2016) - [c5]Hideaki Kawano, Akinori Seo, Zohreh Gholami Doborjeh, Nikola K. Kasabov
, Maryam Gholami Doborjeh:
Analysis of Similarity and Differences in Brain Activities Between Perception and Production of Facial Expressions Using EEG Data and the NeuCube Spiking Neural Network Architecture. ICONIP (4) 2016: 221-227 - [c4]Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
:
Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine. ICONIP (4) 2016: 645-653 - [c3]Maryam Gholami Doborjeh, Nikola K. Kasabov
:
Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system. IJCNN 2016: 1373-1378 - 2015
- [c2]Maryam Gholami Doborjeh, Nikola K. Kasabov
:
Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data. ICONIP (4) 2015: 191-198 - 2014
- [c1]Maryam Gholami Doborjeh, Elisa Capecci
, Nikola K. Kasabov
:
Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model. EALS 2014: 73-80
Coauthor Index
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last updated on 2024-08-05 21:15 CEST by the dblp team
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