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Weibo Liu
Weibo Liu
Department of Computer Science, Brunel University London
Verified email at brunel.ac.uk
Title
Cited by
Cited by
Year
A survey of deep neural network architectures and their applications
W Liu, Z Wang, X Liu, N Zeng, Y Liu, FE Alsaadi
Neurocomputing 234, 11-26, 2017
26372017
Facial expression recognition via learning deep sparse autoencoders
N Zeng, H Zhang, B Song, W Liu, Y Li, AM Dobaie
Neurocomputing 273, 643-649, 2018
4422018
A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer’s disease
N Zeng, H Qiu, Z Wang, W Liu, H Zhang, Y Li
Neurocomputing 320, 195-202, 2018
2212018
A switching delayed PSO optimized extreme learning machine for short-term load forecasting
N Zeng, H Zhang, W Liu, J Liang, FE Alsaadi
Neurocomputing 240, 175-182, 2017
1682017
Deep belief networks for quantitative analysis of a gold immunochromatographic strip
N Zeng, Z Wang, H Zhang, W Liu, FE Alsaadi
Cognitive Computation 8 (4), 684-692, 2016
1562016
A novel sigmoid-function-based adaptive weighted particle swarm optimizer
W Liu, Z Wang, Y Yuan, N Zeng, K Hone, X Liu
IEEE transactions on cybernetics 51 (2), 1085-1093, 2019
1202019
Exponential stability of Markovian jumping Cohen–Grossberg neural networks with mixed mode-dependent time-delays
Y Liu, W Liu, MA Obaid, IA Abbas
Neurocomputing 177, 409-415, 2016
1202016
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip
N Zeng, H Li, Z Wang, W Liu, S Liu, FE Alsaadi, X Liu
Neurocomputing 425, 173-180, 2021
1072021
A novel particle swarm optimization approach for patient clustering from emergency departments
W Liu, Z Wang, X Liu, N Zeng, D Bell
IEEE Transactions on Evolutionary Computation 23 (4), 632-644, 2018
1072018
Event-triggered partial-nodes-based state estimation for delayed complex networks with bounded distributed delays
Y Liu, Z Wang, Y Yuan, W Liu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (6), 1088-1098, 2017
952017
A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm.
N Zeng, Z Wang, W Liu, H Zhang, K Hone, X Liu
IEEE Transactions on Cybernetics, 2020
882020
A novel randomised particle swarm optimizer
W Liu, Z Wang, N Zeng, Y Yuan, FE Alsaadi, X Liu
International Journal of Machine Learning and Cybernetics 12 (2), 529-540, 2021
482021
A small-sized object detection oriented multi-scale feature fusion approach with application to defect detection
N Zeng, P Wu, Z Wang, H Li, W Liu, X Liu
IEEE Transactions on Instrumentation and Measurement 71, 1-14, 2022
462022
A PSO-based deep learning approach to classifying patients from emergency departments
W Liu, Z Wang, N Zeng, FE Alsaadi, X Liu
International Journal of Machine Learning and Cybernetics 12 (7), 1939-1948, 2021
262021
An optimally weighted user-and item-based collaborative filtering approach to predicting baseline data for Friedreich’s Ataxia patients
W Yue, Z Wang, W Liu, B Tian, S Lauria, X Liu
Neurocomputing 419, 287-294, 2021
232021
An N-State Markovian Jumping Particle Swarm Optimization Algorithm
IU Rahman, Z Wang, W Liu, B Ye, M Zakarya, X Liu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (11), 6626-6638, 2020
222020
Melt pool segmentation for additive manufacturing: A generative adversarial network approach
W Liu, Z Wang, L Tian, S Lauria, X Liu
Computers & Electrical Engineering 92, 107183, 2021
132021
EEG fading data classification based on improved manifold learning with adaptive neighborhood selection
Z Wan, R Yang, M Huang, W Liu, N Zeng
Neurocomputing 482, 186-196, 2022
112022
A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests
L Tian, Z Wang, W Liu, Y Cheng, FE Alsaadi, X Liu
Cognitive Computation 13 (5), 1263-1273, 2021
82021
An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testing
L Tian, Z Wang, W Liu, Y Cheng, FE Alsaadi, X Liu
Complex & Intelligent Systems 8 (1), 467-476, 2022
72022
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Articles 1–20