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2020 – today
- 2023
[j6]Yunbo Tang, Dan Chen, Jia Wu
, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine:
Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data. Neural Networks 163: 272-285 (2023)- [j5]Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine:
Corrigendum to "Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data" [Neural Networks 163 (2023) 272-285]. Neural Networks 164: 575 (2023) - [j4]Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine:
Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. IEEE J. Biomed. Health Informatics 27(1): 538-549 (2023) - [j3]Chenglong Dai, Jia Wu, Jessica J. M. Monaghan, Guanghui Li, Hao Peng, Stefanie I. Becker, David McAlpine:
Semi-Supervised EEG Clustering With Multiple Constraints. IEEE Trans. Knowl. Data Eng. 35(8): 8529-8544 (2023) - 2022
- [j2]Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks 154: 56-67 (2022) - [i4]Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis. CoRR abs/2203.10093 (2022) - [i3]Zhe Liu, Yun Li, Lina Yao, Jessica J. M. Monaghan, David McAlpine:
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis. CoRR abs/2205.03230 (2022) - [i2]Yun Li, Zhe Liu, Lina Yao, Molly Lucas, Jessica J. M. Monaghan, Yu Zhang:
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus. CoRR abs/2205.03231 (2022)
2010 – 2019
- 2019
- [j1]Dalin Zhang, Lina Yao, Kaixuan Chen, Jessica Monaghan:
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis. IEEE Signal Process. Lett. 26(5): 715-719 (2019) - [i1]Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine:
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. CoRR abs/1905.04149 (2019) - 2016
- [c3]Tobias Goehring, Xin Yang, Jessica J. M. Monaghan, Stefan Bleeck:
Speech enhancement for hearing-impaired listeners using deep neural networks with auditory-model based features. EUSIPCO 2016: 2300-2304 - [c2]Federico Bolner, Tobias Goehring, Jessica Monaghan, Bas van Dijk, Jan Wouters, Stefan Bleeck:
Speech enhancement based on neural networks applied to cochlear implant coding strategies. ICASSP 2016: 6520-6524 - 2010
- [c1]Roy D. Patterson, Thomas C. Walters, Jessica Monaghan, Christian Feldbauer, Toshio Irino:
Auditory speech processing for scale-shift covariance and its evaluation in automatic speech recognition. ISCAS 2010: 3813-3816
Coauthor Index
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