MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine J Chen, J Feng, X Sun, N Wu, Z Yang, S Chen Mathematical Problems in Engineering 2019, 2019 | 104 | 2019 |
Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss X Sun, K Dong, L Ma, R Sutcliffe, F He, S Chen, J Feng Entropy 21 (1), 37, 2019 | 82 | 2019 |
Breast mass classification via deeply integrating the contextual information from multi-view data H Wang, J Feng, Z Zhang, H Su, L Cui, H He, L Liu Pattern Recognition 80, 42-52, 2018 | 76 | 2018 |
Analysis of patient dose in full field digital mammography B Chen, Y Wang, X Sun, W Guo, M Zhao, G Cui, L Hu, P Li, Y Ren, J Feng, ... European journal of radiology 81 (5), 868-872, 2012 | 55 | 2012 |
Breast mass detection in digital mammogram based on gestalt psychology H Wang, J Feng, Q Bu, F Liu, M Zhang, Y Ren, Y Lv Journal of healthcare engineering 2018, 2018 | 51 | 2018 |
Robust point correspondence matching and similarity measuring for 3D models by relative angle-context distributions J Feng, HHS Ip, LY Lai, A Linney Image and Vision Computing 26 (6), 761-775, 2008 | 48 | 2008 |
Sex Determination of Three-Dimensional Skull Based on Improved Backpropagation Neural Network W Yang, X Liu, K Wang, J Hu, G Geng, J Feng Computational and mathematical methods in medicine 2019, 2019 | 47 | 2019 |
Particle Pollution Estimation from Images Using Convolutional Neural Network and Weather Features Q Bo, W Yang, N Rijal, Y Xie, J Feng, J Zhang 2018 25th IEEE International Conference on Image Processing (ICIP), 3433-3437, 2018 | 43 | 2018 |
Deep Convolution Neural Networks for Drug-Drug Interaction Extraction X Sun, J Feng, L Ma, K Dong, X Du 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 41 | 2018 |
Extreme learning machine for multi-label classification X Sun, J Xu, C Jiang, J Feng, SS Chen, F He Entropy 18 (6), 225, 2016 | 40 | 2016 |
Affine-invariant sketch-based retrieval of images HHS Ip, AKY Cheng, WYF Wong, J Feng Proceedings. Computer Graphics International 2001, 55-61, 2001 | 32 | 2001 |
Lung nodules detection in CT images using Gestalt-based algorithm S Qiu, D Wen, Y Cui, J Feng Chinese Journal of Electronics 25 (4), 711-718, 2016 | 24 | 2016 |
Reconstruction and representation of caudal vasculature of zebrafish embryo from confocal scanning laser fluorescence microscopic images J Feng, SH Cheng, PK Chan, HHS Ip Computers in Biology and Medicine 35 (10), 915-931, 2005 | 22 | 2005 |
A multi-resolution statistical deformable model (MISTO) for soft-tissue organ reconstruction J Feng, HHS Ip Pattern Recognition 42 (7), 1543-1558, 2009 | 21 | 2009 |
Clustered microcalcification detection based on a multiple kernel support vector machine with grouped features (GF-SVM) TT Chang, J Feng, HW Liu, HHS Ip 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 19 | 2008 |
Face appearance reconstruction based on a regional statistical craniofacial model (RCSM) Y Zhang, M Zhou, G Geng, J Feng 2010 20th International Conference on Pattern Recognition, 1670-1673, 2010 | 17 | 2010 |
Wi-Fi Based Gesture Recognition Using Deep Transfer Learning Q Bu, G Yang, J Feng, X Ming 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2018 | 16 | 2018 |
Simplified constraints Rank-SVM for multi-label classification J Wang, J Feng, X Sun, SS Chen, B Chen Chinese Conference on Pattern Recognition, 229-236, 2014 | 15 | 2014 |
A 3D geometric deformable model for tubular structure segmentation J Feng, HHS Ip, SH Cheng 10th International Multimedia Modelling Conference, 2004. Proceedings., 174-180, 2004 | 15 | 2004 |
Multiple instance learning based on positive instance selection and bag structure construction Z Li, GH Geng, J Feng, J Peng, C Wen, JL Liang Pattern recognition letters 40, 19-26, 2014 | 12 | 2014 |