Grace Y. Wang

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Modeling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network Approach.
Big Data Cogn. Comput.
Mojgan Hafezi Fard, Krassie Petrova, Nikola Kirilov Kasabov, Grace Y. Wang
2024 — conf
Sentiment Analysis for Detection of Depressive Users on Social Networks.
BESC
Christopher Wigell, Xiaohui Tao, Lin Li, Grace Y. Wang, Ji Zhang, Yuan Sun
2023 J jnl
Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning.
Sensors
Maryam Doborjeh, Xiaoxu Liu, Zohreh Gholami Doborjeh, Yuanyuan Shen, Grant Searchfield, Philip J. Sanders, Grace Y. Wang, Alexander Sumich, Wei Qi Yan
2022 J jnl
Ensemble plasticity and network adaptability in SNNs.
CoRR
Mahima Milinda Alwis Weerasinghe, David Parry, Grace Y. Wang, Jacqueline Whalley
2021 J jnl
Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network.
Sensors
Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Molood Barati, Grace Y. Wang
2021 J jnl
Incorporating Structural Plasticity Approaches in Spiking Neural Networks for EEG Modelling.
IEEE Access
Mahima Milinda Alwis Weerasinghe, Josafath Israel Espinosa Ramos, Grace Y. Wang, Dave Parry
2020 J jnl
Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.
Sensors
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
2019 — conf
Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression.
ICONIP (3)
Dhvani Shah, Grace Y. Wang, Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov
2016 J jnl
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.
Maryam Gholami Doborjeh, Grace Y. Wang, Nikola K. Kasabov, Robert Kydd, Bruce Russell
2016 J jnl
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.
Neural Networks
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
2015 J jnl
Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment.
Neural Networks
Elisa Capecci, Nikola K. Kasabov, Grace Y. Wang