Showing results 24 to 43 of 254
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| Issue Date | Title | Author(s) |
| 2014 | Computational models for stuctural analysis of retinal images | Kaba, Djibril |
| 2004 | Consensus clustering and functional interpretation of gene expression data | Swift, S; Tucker, A; Vinciotti, V; Martin, N; Orengo, C; Liu, X; Kellam, P |
| 2016 | A constrained optimization approach to dynamic state estimation for power systems including PMU and missing measurements | Hu, L; Wang, Z; Rahman, I; Liu, X |
| 2004 | The contribution of data mining to information science | Chen, SY; Liu, X |
| 2004 | Copasetic analysis: a framework for the blind analysis of microarray imagery | Fraser, K; O'Neill, P; Wang, Z; Liu, X |
| 2004 | Copasetic analysis: Automated analysis of biological gene expression images | Fraser, K; O'Neill, P; Wang, Z; Liu, X |
| 2005 | Copasetic clustering: Making sense of large-scale images | Fraser, K; O'Neill, P; Wang, Z; Liu, X |
| 2015 | A cross-cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students | Tarhini, A; Hone, KS; Liu, X |
| 1-Aug-2020 | Culture versus Policy: More Global Collaboration to Effectively Combat COVID-19 | Li, J; Guo, K; Viedma, EH; Lee, H; Liu, J; Zhong, N; Autran Monteiro Gomes, LF; Filip, FG; Fang, S-C; Özdemir, MS; Liu, X; Lu, G; Shi, Y |
| 21-Feb-2024 | Deep Learning in Virtual Try-On: A Comprehensive Survey | Islam, T; Miron, A; Liu, X; Li, Y |
| 21-Apr-2020 | Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip | Zeng, N; Li, H; Wang, Z; Liu, W; Liu, S; Alsaadi, FE; Liu, X |
| 2007 | Design of exponential state estimators for neural networks with mixed time delays | Liu, Y; Wang, Z; Liu, X |
| 27-Mar-2023 | Differentiable channel pruning guided via attention mechanism: a novel neural network pruning approach | Cheng, H; Wang, Z; Ma, L; Wei, Z; Alsaadi, FE; Liu, X |
| 15-Jul-2021 | A Discrete Density Approach to Bayesian Quantile and Expectile Regression with Discrete Responses | Liu, X; Hu, X; Yu, K |
| 2007 | Discrete-time recurrent neural networks with time-varying delays: Exponential stability analysis | Liu, Y; Wang, Z; Serrano, A; Liu, X |
| 2011 | Distributed state estimation for discrete-time sensor networks with randomly varying nonlinearities and missing measurements | Liang, J; Wang, Z; Liu, X |
| 2012 | Distributed state estimation for uncertain Markov-type sensor networks with mode-dependent distributed delays | Liang, J; Wang, Z; Liu, X |
| 2012 | Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time delays | Liang, J; Wang, Z; Shen, B; Liu, X |
| 2014 | Diversity comparison of Pareto front approximations in many-objective optimization | Li, M; Yang, S; Liu, X |
| 2016 | Dynamic state estimation for power grids with unconventional measurements | Hu, Liang |
