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ORCIDWenjia Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j24]Ada Che
, Wenjia Wang, Xiaohu Mu, Yipei Zhang, Jianguang Feng:
Tabu-Based Adaptive Large Neighborhood Search for Multi-Depot Petrol Station Replenishment With Open Inter-Depot Routes. IEEE Trans. Intell. Transp. Syst. 24(1): 316-330 (2023)- [i19]Jing Zhang, Chi Zhang, Wenjia Wang, Bing-Yi Jing:
APAC: Authorized Probability-controlled Actor-Critic For Offline Reinforcement Learning. CoRR abs/2301.12130 (2023) - [i18]Jiajun Ma, Tianyang Hu, Wenjia Wang:
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning. CoRR abs/2301.12189 (2023) - 2022
- [j23]Xiaodong Yang, Wenjia Wang, Caifen Wang:
Security analysis and improvement of a privacy-preserving authentication scheme in VANET. Int. J. Inf. Sec. 21(6): 1361-1371 (2022) - [j22]Wenjia Wang, Xiaowei Yue, Benjamin Haaland, C. F. Jeff Wu:
Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process. SIAM/ASA J. Uncertain. Quantification 10(2): 619-650 (2022) - [j21]Saleh Alyahyan, Wenjia Wang:
Decision level ensemble method for classifying multi-media data. Wirel. Networks 28(3): 1219-1227 (2022) - [c74]Rui Tuo, Wenjia Wang:
Uncertainty Quantification for Bayesian Optimization. AISTATS 2022: 2862-2884 - [c73]Wenjia Wang, Zhongsheng Hou:
Model-free Adaptive Parking Control for Four-Wheel Vehicle. ASCC 2022: 2150-2156 - [c72]Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu:
HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling. ECCV (7) 2022: 557-577 - [c71]Wenjia Wang, Yate Ge, Hang Yu, Xu Lu, XueChen Li, Yao Cheng, Xiaohua Sun:
Intertwining History and Places: The Design of TongSEE Location-Based Augmented Reality Application for History Learning. HCI (17) 2022: 153-169 - [c70]Cheng Chi, Yiwen Zhang, Yate Ge, Wenjia Wang, Jianuo Li, Xiaohua Sun:
Participatory Design Fictions with Mixed Reality: A User Study Framework for Future Smart Cockpit. HCI (45) 2022: 440-459 - [c69]Wenjia Wang, Jiale Wang, Xiaowei Zhang:
Heterogeneous Interactive Attention Network for Human Parsing. SMC 2022: 2195-2200 - [i17]Yangyang Wu, Jun Wang, Xiaoye Miao, Wenjia Wang, Jianwei Yin:
Differentiable and Scalable Generative Adversarial Models for Data Imputation. CoRR abs/2201.03202 (2022) - [i16]Chunmeng Liu, Enze Xie, Wenjia Wang, Wenhai Wang, Guangyao Li, Ping Luo:
WegFormer: Transformers for Weakly Supervised Semantic Segmentation. CoRR abs/2203.08421 (2022) - [i15]Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu:
HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling. CoRR abs/2204.13686 (2022) - [i14]Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang:
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. CoRR abs/2205.14814 (2022) - [i13]Kexin Shi, Yun Zhang, Bingyi Jing, Wenjia Wang:
Soft BPR Loss for Dynamic Hard Negative Sampling in Recommender Systems. CoRR abs/2211.13912 (2022) - [i12]Xuanyu Shi, Shiyao Xie, Wenjia Wang, Ting Chen, Jian Du:
An automated approach to extracting positive and negative clinical research results. CoRR abs/2212.03464 (2022) - 2021
- [j20]Hao Tan, Jiahao Sun, Wenjia Wang, Chunpeng Zhu:
User Experience & Usability of Driving: A Bibliometric Analysis of 2000-2019. Int. J. Hum. Comput. Interact. 37(4): 297-307 (2021) - [j19]Wenjia Wang, Yi-Hui Zhou:
Eigenvector-based sparse canonical correlation analysis: Fast computation for estimation of multiple canonical vectors. J. Multivar. Anal. 185: 104781 (2021) - [c68]Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng:
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. AISTATS 2021: 829-837 - [c67]Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo:
Segmenting Transparent Objects in the Wild with Transformer. IJCAI 2021: 1194-1200 - [i11]Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo:
Trans2Seg: Transparent Object Segmentation with Transformer. CoRR abs/2101.08461 (2021) - [i10]Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li:
Understanding Square Loss in Training Overparametrized Neural Network Classifiers. CoRR abs/2112.03657 (2021) - 2020
- [j18]Rui Tuo, Wenjia Wang:
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs. J. Mach. Learn. Res. 21: 187:1-187:38 (2020) - [j17]Aliya Aleryani, Wenjia Wang, Beatriz de la Iglesia:
Multiple Imputation Ensembles (MIE) for Dealing with Missing Data. SN Comput. Sci. 1(3): 134 (2020) - [c66]Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai:
Scene Text Image Super-Resolution in the Wild. ECCV (10) 2020: 650-666 - [c65]Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo:
Segmenting Transparent Objects in the Wild. ECCV (13) 2020: 696-711 - [c64]Mostafa Al Ghamdi, Gerard Parr, Wenjia Wang:
Weighted Ensemble Methods for Predicting Train Delays. ICCSA (1) 2020: 586-600 - [c63]Wenjia Wang, Qixing Zhang, Jie Luo, Ranran Zhao, Yongming Zhang:
Smoke Injection Height of Wildfire Event Based on Multi-Source Remote Sensing Data in Yunnan Province, China. IGARSS 2020: 5497-5500 - [c62]Thakolpat Khampuengson, Anthony J. Bagnall, Wenjia Wang:
Developing Ensemble Methods for Detecting Anomalies in Water Level Data. SGAI Conf. 2020: 145-151 - [i9]Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo:
Segmenting Transparent Objects in the Wild. CoRR abs/2003.13948 (2020) - [i8]Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai:
Scene Text Image Super-Resolution in the Wild. CoRR abs/2005.03341 (2020) - [i7]Wenjia Wang, Tianyang Hu, Cong Lin, Guang Cheng:
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. CoRR abs/2007.02486 (2020) - [i6]Cheolhei Lee, Jianguo Wu, Wenjia Wang, Xiaowei Yue:
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly. CoRR abs/2011.10861 (2020)
2010 – 2019
- 2019
- [j16]Yougang Sun, Junqi Xu, Haiyan Qiang, Wenjia Wang, Guobin Lin:
Hopf bifurcation analysis of maglev vehicle-guideway interaction vibration system and stability control based on fuzzy adaptive theory. Comput. Ind. 108: 197-209 (2019) - [j15]Pieter Wessels, Nick Moran, Alison Johnston, Wenjia Wang:
Hybrid expert ensembles for identifying unreliable data in citizen science. Eng. Appl. Artif. Intell. 81: 200-212 (2019) - [j14]Tahani Alqurashi, Wenjia Wang:
Clustering ensemble method. Int. J. Mach. Learn. Cybern. 10(6): 1227-1246 (2019) - [j13]Tahani Alqurashi, Wenjia Wang:
Correction to: A novel adaptive clustering ensemble method. Int. J. Mach. Learn. Cybern. 10(6): 1247 (2019) - [j12]Wenjia Wang, Benjamin Haaland:
Controlling Sources of Inaccuracy in Stochastic Kriging. Technometrics 61(3): 309-321 (2019) - [c61]Wenjia Wang, Yu Shen:
Scene Text Detection Via Cascade FPN and Channel Enhancement. BigMM 2019: 155-161 - [c60]Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé:
Thompson Sampling for m-top Exploration. BNAIC/BENELEARN 2019 - [c59]Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen:
Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network. ICCV 2019: 8439-8448 - [c58]Jiahong Wu, He Zheng, Bo Zhao, Yixin Li, Baoming Yan, Rui Liang, Wenjia Wang, Shipei Zhou, Guosen Lin, Yanwei Fu, Yizhou Wang, Yonggang Wang:
Large-Scale Datasets for Going Deeper in Image Understanding. ICME 2019: 1480-1485 - [c57]Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé:
Bayesian Anytime m-top Exploration. ICTAI 2019: 1422-1428 - [c56]Wenjia Wang, Junxuan Chen, Jie Zhao, Ying Chi, Xuansong Xie, Li Zhang, Xian-Sheng Hua:
Automated Segmentation Of Pulmonary Lobes Using Coordination-Guided Deep Neural Networks. ISBI 2019: 1353-1357 - [c55]Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang:
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation. MMMI@MICCAI 2019: 51-58 - [c54]Alia Algurashi, Wenjia Wang:
Hybrid Feature Selection Method for Improving File Fragment Classification. SGAI Conf. 2019: 379-391 - [i5]Wenjia Wang, Junxuan Chen, Jie Zhao, Ying Chi, Xuansong Xie, Li Zhang, Xian-Sheng Hua:
Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks. CoRR abs/1904.09106 (2019) - [i4]Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen:
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network. CoRR abs/1908.05900 (2019) - [i3]Wenjia Wang, Enze Xie, Peize Sun, Wenhai Wang, Lixun Tian, Chunhua Shen, Ping Luo:
TextSR: Content-Aware Text Super-Resolution Guided by Recognition. CoRR abs/1909.07113 (2019) - [i2]Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang:
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation. CoRR abs/1911.01062 (2019) - 2018
- [j11]Benjamin Haaland, Wenjia Wang, Vaibhav Maheshwari:
A Framework for Controlling Sources of Inaccuracy in Gaussian Process Emulation of Deterministic Computer Experiments. SIAM/ASA J. Uncertain. Quantification 6(2): 497-521 (2018) - [c53]Aliya Aleryani, Wenjia Wang, Beatriz de la Iglesia:
Dealing with Missing Data and Uncertainty in the Context of Data Mining. HAIS 2018: 289-301 - [c52]Saleh Alyahyan, Wenjia Wang:
Generalised Decision Level Ensemble Method for Classifying Multi-media Data. SGAI Conf. 2018: 326-339 - 2017
- [j10]Ghadah Aldehim, Wenjia Wang:
Determining appropriate approaches for using data in feature selection. Int. J. Mach. Learn. Cybern. 8(3): 915-928 (2017) - [c51]Saleh Alyahyan, Wenjia Wang:
Feature Level Ensemble Method for Classifying Multi-media Data. SGAI Conf. 2017: 235-249 - [i1]Jiahong Wu, He Zheng, Bo Zhao, Yixin Li, Baoming Yan, Rui Liang, Wenjia Wang, Shipei Zhou, Guosen Lin, Yanwei Fu, Yizhou Wang, Yonggang Wang:
AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding. CoRR abs/1711.06475 (2017) - 2016
- [c50]Saleh Alyahyan, Majed Farrash, Wenjia Wang:
Heterogeneous Ensemble for Imaginary Scene Classification. KDIR 2016: 197-204 - 2015
- [j9]Lei Zhang, Mark Fisher, Wenjia Wang:
Retinal vessel segmentation using multi-scale textons derived from keypoints. Comput. Medical Imaging Graph. 45: 47-56 (2015) - [c49]Wensen Huang, Wenjia Wang, Jianbo Gao, Qinglin Li:
Dynamical evolution of an internet social network: A case study on an event of protecting plane trees in Nanjing, China. BESC 2015: 13-17 - [c48]Tahani Alqurashi, Wenjia Wang:
A new consensus function based on dual-similarity measurements for clustering ensemble. DSAA 2015: 1-9 - [c47]Aalaa Mojahed, Joao H. Bettencourt-Silva, Wenjia Wang, Beatriz de la Iglesia:
Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF). MLDM 2015: 251-265 - [c46]Majed Farrash, Wenjia Wang:
An Algorithm for Identifying the Learning Patterns in Big Data. TrustCom/BigDataSE/ISPA (2) 2015: 48-55 - 2014
- [j8]Maybin K. Muyeba, Keeley A. Crockett, Wenjia Wang, John A. Keane:
A hybrid heuristic approach for attribute-oriented mining. Decis. Support Syst. 57: 139-149 (2014) - [c45]Alex Mace, Wenjia Wang:
Modelling the role of spontaneous and collision induced catastrophe in the self organisation of cortical microtubules. BIBM 2014: 8-13 - [c44]Lei Zhang, Mark Fisher, Wenjia Wang:
Comparative performance of texton based vascular tree segmentation in retinal images. ICIP 2014: 952-956 - [c43]Ghadah Aldehim, Beatriz de la Iglesia, Wenjia Wang:
Heuristic Ensemble of Filters for Reliable Feature Selection. ICPRAM 2014: 175-182 - [c42]Tahani Alqurashi, Wenjia Wang:
Object-Neighbourhood Clustering Ensemble Method. IDEAL 2014: 142-149 - [c41]Lei Zhang, Mark Fisher, Wenjia Wang:
Retinal Vessel Segmentation using Gabor Filter and Textons. MIUA 2014: 155-160 - [c40]Ghadah Aldehim, Wenjia Wang:
Reliability and Effectiveness of Cross-Validation in Feature Selection. SGAI Conf. 2014: 179-184 - [c39]Tahani Alqurashi, Wenjia Wang:
A Graph based Methodology for Web Structure Mining - with a Case Study on the Webs of UK Universities. WIMS 2014: 40:1-40:11 - 2013
- [j7]Jamil Alshaqsi, Wenjia Wang:
Estimating the predominant number of clusters in a dataset. Intell. Data Anal. 17(4): 603-626 (2013) - [c38]Majed Farrash, Wenjia Wang:
How data partitioning strategies and subset size influence the performance of an ensemble? IEEE BigData 2013: 42-49 - [c37]Wenjia Wang, Zhuoran Zhang:
Maximum torque control of hybrid excitation synchronous machine drives based on field current self-optimizing method. IECON 2013: 2977-2982 - [c36]Yiruo Dai, Wenjia Wang, Yukihiro Kawamata:
Complex ground plane detection based on V-disparity map in off-road environment. Intelligent Vehicles Symposium 2013: 1137-1142 - 2012
- [j6]Richard Harrison, Roger Birchall, Dave Mann, Wenjia Wang:
Novel Consensus Approaches to the Reliable Ranking of Features for Seabed Imagery Classification. Int. J. Neural Syst. 22(6) (2012) - [j5]Graeme Richards, Wenjia Wang:
What influences the accuracy of decision tree ensembles? J. Intell. Inf. Syst. 39(3): 627-650 (2012) - [c35]Wenjia Wang, Dingwei Wang:
A Trust Model Composed of Multi-trust Path in Online Auction. CIT 2012: 733-738 - [c34]Jianfei Huang, Yifa Tang, Wenjia Wang, Jiye Yang:
A Compact Difference Scheme for Time Fractional Diffusion Equation with Neumann Boundary Conditions. AsiaSim (1) 2012: 273-284 - [c33]Jamil Alshaqsi, Wenjia Wang:
A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set. ICMLA (2) 2012: 569-573 - [c32]Khaled Alotaibi, Victor J. Rayward-Smith, Wenjia Wang, Beatriz de la Iglesia:
Non-linear Dimensionality Reduction for Privacy-Preserving Data Classification. SocialCom/PASSAT 2012: 694-701 - 2011
- [c31]Richard Harrison, Valerie Bellec, Dave Mann, Wenjia Wang:
A new approach to the automated mapping of pockmarks in multi-beam bathymetry. ICIP 2011: 2777-2780 - [c30]Alex Mace, Roberto Sommariva, Zoë Fleming, Wenjia Wang:
Adaptive K-Means for Clustering Air Mass Trajectories. IDEAL 2011: 1-8 - [c29]Richard Harrison, Roger Birchall, Dave Mann, Wenjia Wang:
A Novel Ensemble of Distance Measures for Feature Evaluation: Application to Sonar Imagery. IDEAL 2011: 327-336 - [c28]Qiao Li, Alexander J. MacGregor, Wenjia Wang:
Novel Data Mining Approaches for Detecting Quantitative Trait Loci of Bone Mineral Density in Genome-Wide Linkage Analysis. IDEAL 2011: 498-509 - [c27]Richard Harrison, Francesco Bianconi, Richard W. Harvey, Wenjia Wang:
A Texture Analysis Approach to Identifying Sabellaria Spinulosa Colonies in Sidescan Sonar Imagery. IMVIP 2011: 58-63 - [c26]Wenjia Wang, Dingwei Wang:
A Comprehensive Trust Model with Multi-participant Viewpoints in Online Auctions. IPTC 2011: 91-95 - [e1]Hujun Yin, Wenjia Wang, Victor J. Rayward-Smith:
Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings. Lecture Notes in Computer Science 6936, Springer 2011, ISBN 978-3-642-23877-2 [contents] - 2010
- [c25]Jamil Alshaqsi, Wenjia Wang:
A clustering ensemble method for clustering mixed data. IJCNN 2010: 1-8 - [c24]Geoffrey R. Guile, Wenjia Wang:
Factors affecting boosting ensemble performance on DNA microarray data. IJCNN 2010: 1-7 - [c23]Wenjia Wang:
Heterogeneous Bayesian ensembles for classifying spam emails. IJCNN 2010: 1-8 - [c22]Yuhe Zhang, Man Li, Wenjia Wang:
Enhancement of real-time traffic data in navigation clients. ITSC 2010: 1283-1288 - [c21]Man Li, Wenjia Wang, Yuhe Zhang:
Research on driver experience based route planning method. Intelligent Vehicles Symposium 2010: 78-82
2000 – 2009
- 2009
- [c20]Qiao Li, Wenjia Wang, Alexander J. MacGregor, George Smith:
A Hybrid Method of Multidimensional Scaling and Clustering for Determining Genetic Influence on Phenotypes. ADMA 2009: 520-527 - 2008
- [c19]Wenjia Wang:
Some fundamental issues in ensemble methods. IJCNN 2008: 2243-2250 - [c18]Geoffrey R. Guile, Wenjia Wang:
Relationship between depth of decision trees and boosting performance. IJCNN 2008: 2267-2274 - [c17]Geoffrey R. Guile, Wenjia Wang:
Boosting for feature selection for microarray data analysis. IJCNN 2008: 2559-2563 - [c16]Wenjia Wang, Phuong Thanh Cao-Thai:
Novel position-coded methods for mining web access patterns. ISI 2008: 194-196 - [c15]Man Li, Wenjia Wang:
Analysis and Optimization of Statistical Data in Beijing for Traffic Information Services. ITSC 2008: 128-133 - 2007
- [j4]Shun Bian, Wenjia Wang:
On diversity and accuracy of homogeneous and heterogeneous ensembles. Int. J. Hybrid Intell. Syst. 4(2): 103-128 (2007) - [c14]Geoffrey R. Guile, Wenjia Wang:
Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis. IJCNN 2007: 430-435 - [c13]Bo Liu, Wenjia Wang:
Travel Time Enabled Bus Route Navigation System Experiment in Beijing. ITSC 2007: 425-430 - 2006
- [j3]Graeme Richards, Karl J. Brazier, Wenjia Wang:
Feature salience definition and estimation and its use in feature subset selection. Intell. Data Anal. 10(1): 3-21 (2006) - [c12]Shun Bian, Wenjia Wang:
Investigation on Diversity in Homogeneous and Heterogeneous Ensembles. IJCNN 2006: 3078-3085 - [c11]Graeme Richards, Wenjia Wang:
Investigations on the Characteristics of Random Decision Tree Ensembles. IJCNN 2006: 5140-5147 - 2005
- [c10]Graeme Richards, Karl J. Brazier, Wenjia Wang:
A Fast Wrapper Method for Feature Subset Selection. Artificial Intelligence and Applications 2005: 54-59 - [c9]Shun Bian, Wenjia Wang:
Improving Classification for Microarray Data Sets by Constructing Synthetic Data. CIS (1) 2005: 809-814 - [c8]Graeme Richards, Karl J. Brazier, Wenjia Wang:
The Definition and Estimation of Feature Salience in Databases. Databases and Applications 2005: 7-12 - 2004
- [c7]Reda Younsi, Wenjia Wang:
A New Artificial Immune System Algorithm for Clustering. IDEAL 2004: 58-64 - [c6]Karl J. Brazier, Graeme Richards, Wenjia Wang:
Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles. IDEAL 2004: 333-338 - 2002
- [c5]Wenjia Wang:
Quantifying Relevance of Input Features. IDEAL 2002: 588-594 - 2001
- [j2]Wenjia Wang, Phillis Jones, Derek Partridge:
A Comparative Study of Feature-Salience Ranking Techniques. Neural Comput. 13(7): 1603-1623 (2001) - [c4]Derek Partridge, Wenjia Wang, Phillis Jones:
Efficient and Effective Feature Selection in the Presence of Feature Interaction and Noise. ICAPR 2001: 196-201 - 2000
- [j1]Wenjia Wang, Phillis Jones, Derek Partridge:
Assessing the Impact of Input Features in a Feedforward Neural Network. Neural Comput. Appl. 9(2): 101-112 (2000) - [c3]Wenjia Wang, Phillis Jones, Derek Partridge:
Identification of Feature-Salience. IJCNN (5) 2000: 559-564 - [c2]