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Maryam Gholami Doborjeh
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2020 – today
- 2026
[e14]Mufti Mahmud
, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15292, Springer 2026, ISBN 978-981-96-6593-8 [contents]- [e13]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15295, Springer 2026, ISBN 978-981-96-6602-7 [contents] - [e12]Tadahiro Taniguchi, Andrew Chi-Sing Leung, Tadashi Kozuno, Junichiro Yoshimoto, Mufti Mahmud, Maryam Doborjeh, Kenji Doya:
Neural Information Processing - 32nd International Conference, ICONIP 2025, Okinawa, Japan, November 20-24, 2025, Proceedings, Part II. Lecture Notes in Computer Science 16310, Springer 2026, ISBN 978-981-95-4377-9 [contents] - [e11]Tadahiro Taniguchi, Andrew Chi-Sing Leung, Tadashi Kozuno, Junichiro Yoshimoto, Mufti Mahmud, Maryam Doborjeh, Kenji Doya:
Neural Information Processing - 32nd International Conference, ICONIP 2025, Okinawa, Japan, November 20-24, 2025, Proceedings, Part IV. Lecture Notes in Computer Science 16312, Springer 2026, ISBN 978-981-95-4383-0 [contents] - 2025
- [j19]Juveria Afreen, Mahsa Mohaghegh, Maryam Doborjeh:
Systematic literature review on bias mitigation in generative AI. AI Ethics 5(5): 4789-4841 (2025) - [c18]Maryam Doborjeh, Zohreh Doborjeh, Nikola K. Kasabov:
Novel Neuron-Stability Weighted Dynamic Evolving Spiking Neural Network (NSW-DeSNN) for Classification of fMRI Data. ICONIP (2) 2025: 600-609 - [c17]Zohreh Doborjeh, Balkaran Singh, Alexander Sumich, Maryam Doborjeh, Wilson Wen Bin Goh, Nikola K. Kasabov:
Genetic Predictors of Social and Cognitive Outcomes in People with Ultra-High-Risk of Psychosis Using Spiking Neural Networks. IJCNN 2025: 1-7 - [e10]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15286, Springer 2025, ISBN 978-981-96-6575-4 [contents] - [e9]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15287, Springer 2025, ISBN 978-981-96-6578-5 [contents] - [e8]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15288, Springer 2025, ISBN 978-981-96-6581-5 [contents] - [e7]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15289, Springer 2025, ISBN 978-981-96-6584-6 [contents] - [e6]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15290, Springer 2025, ISBN 978-981-96-6587-7 [contents] - [e5]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15291, Springer 2025, ISBN 978-981-96-6590-7 [contents] - [e4]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15293, Springer 2025, ISBN 978-981-96-6598-3 [contents] - [e3]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15294, Springer 2025, ISBN 978-981-96-6601-0 [contents] - [e2]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi-Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15296, Springer 2025, ISBN 978-981-96-6605-8 [contents] - 2024
- [c16]Maryam Doborjeh, Zien Huang, Zohreh Doborjeh:
Integrating Multimodal Spatiotemporal Brain Data with Spiking Neural Networks. BI (2) 2024: 137-147 - [c15]Zohreh Doborjeh, Daniel lavin, Kirsty Hunter, Nadja Heym, Bryony Heasman, Maryam Doborjeh, Nikola K. Kasabov, Glen Gibson, Alexander Sumich:
Neurocomputational Modelling of EEG Connectivity: Links Between Depression, Inflammation, and Gut-Microbiome. BI (1) 2024: 164-178 - [c14]Balkaran Singh, Sugam Budhraja, Maryam Doborjeh, Zohreh Doborjeh, Edmund M.-K. Lai, Nikola K. Kasabov:
Izhikevich Neurons in NeuCube for Longitudinal Data Classification. ICONIP (11) 2024: 48-60 - [c13]Alexander Sumich, Zohreh Doborjeh, Nadja Heym, Aroha Scott, Kirsty Hunter, Tony Burgess, Julie French, Mustafa Sarkar, Maryam Doborjeh, Nikola K. Kasabov:
Calming the Mind: Spiking Neural Networks Reveal How Havening Touch to Reduce Persistent Distress Attenuates Left Temporal Electroencephalographic Connectivity. ICONIP (11) 2024: 61-71 - [c12]Saul Garnell, Mehmet Kerem Türkcan, Maryam Doborjeh, Brian H. Smith, Paul Szyszka:
Loosely Coupled Oscillators as a Correlate of Behavioral Control Circuits Within the Central Complex of the Fruit Fly. ICONIP (1) 2024: 226-240 - 2023
- [j18]Sugam Budhraja, Maryam Doborjeh, Balkaran Singh, Samuel Tan, Zohreh Gholami Doborjeh, Edmund M.-K. Lai, Alexander Merkin, Jimmy Lee, Wilson Wen Bin Goh, Nikola K. Kasabov:
Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data. Briefings Bioinform. 24(6) (2023) - [j17]Mark Crook-Rumsey, Christina J. Howard, Zohreh Gholami Doborjeh, Maryam 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) - [j16]Maryam 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) - [j15]Munish Rathee, Boris Bacic, Maryam Doborjeh:
Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review. Sensors 23(12): 5656 (2023) - [j14]Cosimo Ieracitano, Mufti Mahmud, Maryam Doborjeh, Aimé Lay-Ekuakille:
Editorial Topical Collection: "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images". Sensors 23(24): 9722 (2023) - [j13]Nikola K. Kasabov, Yongyao Tan, Maryam 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 Doborjeh, Zohreh Gholami Doborjeh, Samuel Tan, Edmund M.-K. 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 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 Doborjeh, Yee Ling Boo, Yun Sing Koh, Yanchang Zhao, Graham J. 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 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 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 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 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 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 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 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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