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email:
Yilong.Yang@glasgow.ac.uk
pronouns:
He/him/his
Wolfson Wohl Cancer Research Centre, Bearsden, Glasgow, East Dunbartonshire Council, Scotland, G61 1BD
Yang, Y. , Dasmahapatra, S. and Mahmoodi, S. (2023) ADS_UNet: A nested UNet for histopathology image segmentation. Expert Systems with Applications, 226, 120128. (doi: 10.1016/j.eswa.2023.120128)
Yang, Y. , Wu, Q., Fu, Y. and Chen, X. (2018) Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition. In: Neural Information Processing: 25th International Conference, ICONIP 2018 Siem Reap, Cambodia, December 13–16, 2018 Proceedings, Part VII. Series: Lecture Notes in Computer Science (11307). Springer: Cham, pp. 433-443. ISBN 9783030042387 (doi: 10.1007/978-3-030-04239-4_39)
Yang, Y. , Wu, Q., Qiu, M., Wang, Y. and Chen, X. (2018) Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network. In: 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, 08-13 July 2018, ISBN 9781509060146 (doi: 10.1109/ijcnn.2018.8489331)
Yang, Y. , Dasmahapatra, S. and Mahmoodi, S. (2023) ADS_UNet: A nested UNet for histopathology image segmentation. Expert Systems with Applications, 226, 120128. (doi: 10.1016/j.eswa.2023.120128)
Yang, Y. , Wu, Q., Fu, Y. and Chen, X. (2018) Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition. In: Neural Information Processing: 25th International Conference, ICONIP 2018 Siem Reap, Cambodia, December 13–16, 2018 Proceedings, Part VII. Series: Lecture Notes in Computer Science (11307). Springer: Cham, pp. 433-443. ISBN 9783030042387 (doi: 10.1007/978-3-030-04239-4_39)
Yang, Y. , Wu, Q., Qiu, M., Wang, Y. and Chen, X. (2018) Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network. In: 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, 08-13 July 2018, ISBN 9781509060146 (doi: 10.1109/ijcnn.2018.8489331)
https://orcid.org/0000-0002-2595-7883