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2020 – today
- 2024
[j6]Wenda He, Xiangrui Cai
, Yu-Ping Lai, Xiaojie Yuan:
ESVI-GaMM: A fast network intrusion detection approach based on the Bayesian gamma mixture model. Inf. Sci. 678: 121001 (2024)- 2023
- [j5]Shenghao Zhou, Ze Chen, Qi Li, Mengjun Gu, Zhoucheng Bao, Wenda He, Weiguo Sheng:
A Multi-Objective Evolutionary Algorithm With Hierarchical Clustering-Based Selection. IEEE Access 11: 2557-2569 (2023) - 2021
- [c14]Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng:
Robust Adaptive-weighting Multi-view Classification. CIKM 2021: 3117-3121 - [c13]Wenda He, Raymond Y. K. Lau:
A Hybrid Deep Learning Model for Emotion Detection in Emotion-sensitive Robo-advisors. IDSTA 2021: 93-98 - [c12]Xueqin Lu, Wenda He, Qingqing Lu, Yan Tang:
Hybrid Filter-wrapper Feature Selection Using Water Wave Optimization for Financial Crisis Prediction in Enterprises. ISKE 2021: 193-199 - 2020
- [j4]Mingce Chen, Wenda He, Dong Wei, Chai Hu, Jiashuo Shi, Xinyu Zhang, Haiwei Wang, Changsheng Xie:
Depth-of-Field-Extended Plenoptic Camera Based on Tunable Multi-Focus Liquid-Crystal Microlens Array. Sensors 20(15): 4142 (2020)
2010 – 2019
- 2018
- [j3]Yu-Ping Lai, Wenda He, Yuan Ping, Jinshuai Qu, Xiufeng Zhang:
Variational Bayesian Inference for Infinite Dirichlet Mixture Towards Accurate Data Categorization. Wirel. Pers. Commun. 102(3): 2307-2329 (2018) - 2016
- [c11]Wenda He, Sam Harvey, Arne Juette, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Segmentation and Density Classification: A Fractal Inspired Approach. Digital Mammography / IWDM 2016: 359-366 - 2015
- [j2]Wenda He, Peter Hogg, Arne Juette, Erika R. E. Denton, Reyer Zwiggelaar:
Breast image pre-processing for mammographic tissue segmentation. Comput. Biol. Medicine 67: 61-73 (2015) - [c10]Wenda He, Arne Juette, Erica R. E. Denton, Reyer Zwiggelaar:
Novel multiresolution mammographic density segmentation using pseudo 3D features and adaptive cluster merging. Image Processing 2015: 94133I - 2014
- [c9]Wenda He, Minnie Kibiro, Arne Juette, Erika R. E. Denton, Reyer Zwiggelaar:
A Revisit on Correlation between Tabár and Birads Based Risk Assessment Schemes with Full Field Digital Mammography. Digital Mammography / IWDM 2014: 327-333 - [c8]Wenda He, Minnie Kibiro, Arne Juette, Erika R. E. Denton, Peter Hogg, Reyer Zwiggelaar:
A Novel Image Enhancement Methodology for Full Field Digital Mammography. Digital Mammography / IWDM 2014: 650-657 - [c7]Wenda He, Erika R. E. Denton, Reyer Zwiggelaar:
A Study on Mammographic Image Modelling and Classification Using Multiple Databases. Digital Mammography / IWDM 2014: 696-701 - [c6]Wenda He, Minnie Kibiro, Arne Juette, Peter Hogg, Erika R. E. Denton, Reyer Zwiggelaar:
A Novel Breast Image Preprocessing For Full Field Digital Mammographic Segmentation and Risk Classification. MIUA 2014: 79-84 - 2013
- [c5]Wenda He, Reyer Zwiggelaar:
Breast Parenchymal Pattern Analysis in Digital Mammography: Associations between Tabár and Birads Tissue Compositions. CAIP (2) 2013: 386-393 - 2012
- [c4]Wenda He, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Segmentation and Risk Classification Using a Novel Binary Model Based Bayes Classifier. Digital Mammography / IWDM 2012: 40-47 - 2011
- [j1]Wenda He, Erika R. E. Denton, Kirsten Stafford, Reyer Zwiggelaar:
Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments. Biomed. Signal Process. Control. 6(3): 321-329 (2011) - 2010
- [c3]Wenda He, Reyer Zwiggelaar:
Image classification: A novel texture signature approach. ICIP 2010: 2725-2728 - [c2]Wenda He, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Image Segmentation and Risk Classification Using a Novel Texture Signature Based Methodology. Digital Mammography / IWDM 2010: 526-533
2000 – 2009
- 2008
- [c1]Wenda He, Izzati Muhimmah, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Segmentation Based on Texture Modelling of Tabár Mammographic Building Blocks. Digital Mammography / IWDM 2008: 17-24
Coauthor Index
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