Wenjia Wang

Search results

• 2022

  The Potential of Artificial Intelligence in Phase-Measuring Bathymetric Sonar Data Processing

  Milner, B., Wang, W., Websdale, D., Gutierrez, F. & Dowdeswell, R., 1 Apr 2022.

  Research output: Contribution to conference › Paper › peer-review
• 2015

  An Algorithm for Identifying the Learning Patterns in Big Data

  Farrash, M. & Wang, W., 20 Aug 2015, p. 48-55. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  1 Citation (Scopus)

• A New Consensus Function based on Dual-Similarity Measurements for Clustering Ensemble

  Alqurashi, T. & Wang, W., Oct 2015.

  Research output: Contribution to conference › Paper › peer-review

  10 Citations (Scopus)

• Weighted Heuristic Ensemble of Filters

  Aldehim, G. & Wang, W., 10 Nov 2015, p. 609-615. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  3 Citations (Scopus)

  15 Downloads (Pure)
• 2014

  A Graph based Methodology for Web Structure Mining: with a Case Study on the Webs of UK Universities

  Alqurashi, T. & Wang, W., Jun 2014.

  Research output: Contribution to conference › Paper › peer-review

• Heuristic Ensemble of Filters for Reliable Feature Selection

  Aldehim, G., De La Iglesia, B. & Wang, W., May 2014.

  Research output: Contribution to conference › Paper › peer-review

  2 Citations (Scopus)

• Object-Neighbourhood based Clustering Ensemble Method

  Alqurashi, T. & Wang, W., 10 Sep 2014.

  Research output: Contribution to conference › Paper › peer-review

• Reliability and Effectiveness of Cross-validation in Feature Selection

  Aldehim, G. & Wang, W., Dec 2014, p. 179-184. 6 p.

  Research output: Contribution to conference › Paper › peer-review

• Retinal vessel segmentation using Gabor Filter and Textons

  Zhang, L., Fisher, M. & Wang, W., 2014, p. 155-160. 6 p.

  Research output: Contribution to conference › Paper › peer-review

  File
  50 Citations (Scopus)

  15 Downloads (Pure)
• 2013

  Autoimmune haemolytic anaemia after allogeneic haematopoietic stem cell transplantation: analysis of 555 transplant patients at King’s College Hospital

  Wang, M., Wang, W. & Abeywardane, A., Apr 2013.

  Research output: Contribution to conference › Paper › peer-review

• How data partitioning strategies influence the performance of ensemble in big data mining?

  Wang, W. & Farrash, M., Oct 2013.

  Research output: Contribution to conference › Paper › peer-review

• Locating blood vessels in retinal images using unified Textons

  Zhang, L., Fisher, M. & Wang, W., Jul 2013, p. 213-218. 6 p.

  Research output: Contribution to conference › Paper › peer-review
• 2008

  Boosting for feature selection for microarray data analysis

  Guile, G. & Wang, W., 2008, p. 2560-2564. 5 p.

  Research output: Contribution to conference › Paper

  2 Citations (Scopus)

• Novel Position coded methods for mining and ranking web access patterns

  Wang, W. & Cao-Thai, P., 2008.

  Research output: Contribution to conference › Paper

• Relationships between depth of decision tree and boosting performance

  Guile, G. & Wang, W., 2008, p. 2268-2275. 8 p.

  Research output: Contribution to conference › Paper

• Some fundamental issues in ensemble methods

  Wang, W., 2008, p. 2244-2251. 8 p.

  Research output: Contribution to conference › Paper

  Open Access

  File
  49 Citations (Scopus)

  50 Downloads (Pure)
• 2007

  Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis

  Guile, G. R. & Wang, W., 2007, p. 430-435. 6 p.

  Research output: Contribution to conference › Paper
  5 Citations (Scopus)
• 2006

  Investigation on Diversity in Homogeneous and Heterogeneous Ensembles

  Bian, S. & Wang, W., 2006, p. 3078-3085. 8 p.

  Research output: Contribution to conference › Paper
  7 Citations (Scopus)

• Investigations on the Characteristics of Random Decision Tree Ensembles

  Richards, G. & Wang, W., Jul 2006, p. 5140-5147. 8 p.

  Research output: Contribution to conference › Paper
  1 Citation (Scopus)
• 2005

  The Definition and Estimation of Feature Salience in Databases

  Richards, G., Brazier, K. & Wang, W., Feb 2005, p. 7-12. 6 p.

  Research output: Contribution to conference › Paper
• 2002

  Predicting osteoporosis from risk factors with data mining ensembles

  Rae, S. & Wang, W., May 2002.

  Research output: Contribution to conference › Paper
• 2001

  Hybrid Ensembles and Coincident-Failure Diversity

  Wang, W., Partridge, D. & Etherington, J., Jul 2001, p. 2376-2381. 6 p.

  Research output: Contribution to conference › Paper
  25 Citations (Scopus)

• Identifying Salient Risk Factors by Clamping Neural Networks

  Wang, W., Sep 2001, p. 62-66. 5 p.

  Research output: Contribution to conference › Paper
• 2000

  Artificial intelligence techniques for software system enhancement

  Partridge, D., Wang, W. & Jones, P., 2000, p. 724-729. 6 p.

  Research output: Contribution to conference › Paper

• Identification of Feature-Salience

  Wang, W., Jones, P. & Partridge, D., Jul 2000, p. 559-564. 6 p.

  Research output: Contribution to conference › Paper

• Multiversion systems of neural networks and decision trees

  Wang, W. & Partridge, D., May 2000, p. 13-19. 7 p.

  Research output: Contribution to conference › Paper