Showing results 37 to 56 of 61
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| Issue Date | Title | Author(s) |
| 2018-06-01 | A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue | Ding, W; Lin, CT; Prasad, M; Cao, Z; Wang, J |
| 2013-08-01 | Local discriminative distance metrics ensemble learning | Mu, Y; Ding, W; Tao, D |
| 2011-01 | Measurable Realistic Image-based 3D Mapping | Liu, W; Wang, J; Ding, W; Almagbile, A |
| 2021-11-27 | Memory augmented convolutional neural network and its application in bioimages | Ding, W; Ming, Y; Wang, YK; Lin, CT |
| 2023-11-08 | MGRW-Transformer: Multigranularity Random Walk Transformer Model for Interpretable Learning. | Ding, W; Geng, Y; Huang, J; Ju, H; Wang, H; Lin, C-T |
| 2018-01-01 | A Modified Distance Dynamics Model for Improvement of Community Detection | Meng, T; Cai, L; He, T; Chen, L; Deng, Z; Ding, W; Cao, Z |
| 2018-01-10 | Multiagent-consensus-MapReduce-based attribute reduction using co-evolutionary quantum PSO for big data applications | Ding, W; Lin, CT; Chen, S; Zhang, X; Hu, B |
| 2021 | Multigranulation Super-Trust Model for Attribute Reduction | Ding, W; Pedrycz, W; Triguero, I; Cao, Z; Lin, CT |
| 2018-01-01 | A multimodel fusion engine for filtering webpages | Deng, Z; He, T; Ding, W; Cao, Z |
| 2018-08-16 | Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce | Ding, W; Lin, CT; Pedrycz, W |
| 2011-09-01 | One-class learning and concept summarization for data streams | Zhu, X; Ding, W; Yu, PS; Zhang, C |
| 2013-04-02 | Online feature selection with streaming features | Wu, X; Yu, K; Ding, W; Wang, H; Zhu, X |
| 2016-10-01 | Online learning from trapezoidal data streams | Zhang, Q; Zhang, P; Long, G; Ding, W; Zhang, C; Wu, X |
| 2023-07-01 | Optimization of biological enzymes combined with Fe<sup>2+</sup>-activated advanced oxidation process for waste activated sludge conditioning using the response surface method | Kang, X; Li, C; Ding, W; Ma, Y; Zhou, X; Gao, S; Chen, C; Liu, W; He, Z; Li, X; Jiang, G |
| 2022-04 | Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread. | Liu, D; Ding, W; Dong, ZS; Pedrycz, W |
| 2019-09-01 | Ozone disinfection of chlorine-resistant bacteria in drinking water | Ding, W; Jin, W; Cao, S; Zhou, X; Wang, C; Jiang, Q; Huang, H; Tu, R; Han, SF; Wang, Q |
| 2020-04-01 | Random forest with self-paced bootstrap learning in lung cancer prognosis | Wang, Q; Zhou, Y; Ding, W; Zhang, Z; Muhammad, K; Cao, Z |
| 2017-12-06 | A review of clustering techniques and developments | Saxena, A; Prasad, M; Gupta, A; Bharill, N; Patel, OP; Tiwari, A; Er, MJ; Ding, W; Lin, CT |
| 2021-03-01 | Role of extracellular polymeric substances in anaerobic granular sludge: Assessing dewaterability during Fe(II)-peroxydisulfate conditioning and granulation processes | Ding, W; Jin, W; Zhou, X; Yang, Q; Chen, C; Wang, Q |
| 2012-12-01 | Self-Taught Active Learning from crowds | Fang, M; Zhu, X; Li, B; Ding, W; Wu, X |
