Research output per year
Research output per year
- 22 results
Search results
-
2024
Heterogeneous machine learning ensembles for predicting train delays
Al Ghamdi, M., Parr, G. & Wang, W., Jun 2024, In: IEEE Transactions on Intelligent Transportation Systems. 25, 6, p. 5138-5153 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)20 Downloads (Pure) -
2023
Novel methods for imputing missing values in water level monitoring data
Khampuengson, T. & Wang, W., Jan 2023, In: Water Resources Management. 37, 2, p. 851-878 28 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Citations (Scopus)29 Downloads (Pure) -
2022
Decision level ensemble method for classifying multi-media data
Alyahyan, S. & Wang, W., Apr 2022, In: Wireless Networks. 28, 3, p. 1219–1227 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)56 Downloads (Pure) -
Deep reinforcement learning ensemble for detecting anomaly in telemetry water level data
Khampuengson, T. & Wang, W., 13 Aug 2022, In: Water. 14, 16, 2492.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Citations (Scopus)24 Downloads (Pure) -
2020
Multiple Imputation Ensembles (MIE) for dealing with missing data
Aleryani, A., Wang, W. & De La Iglesia, B., May 2020, In: SN Computer Science. 1, 3, 134.Research output: Contribution to journal › Article › peer-review
Open AccessFile25 Citations (Scopus)65 Downloads (Pure) -
2019
Clustering ensemble method
Alqurashi, T. & Wang, W., 1 Jun 2019, In: International Journal of Machine Learning and Cybernetics. 10, 6, p. 1227-1246 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile81 Citations (Scopus)38 Downloads (Pure) -
Hybrid expert ensembles for identifying unreliable data in citizen science
Wessels, P., Moran, N., Johnston, A. & Wang, W., May 2019, In: Engineering Applications of Artificial Intelligence. 81, p. 200-212 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)15 Downloads (Pure) -
2017
Determining appropriate approaches for using data in feature selection
Aldehim, G. & Wang, W., Jun 2017, In: International Journal of Machine Learning and Cybernetics. 8, 3, p. 915–928Research output: Contribution to journal › Article › peer-review
Open AccessFile29 Citations (Scopus)17 Downloads (Pure) -
2015
Autoimmune hemolytic anemia after allogeneic hematopoietic stem cell transplantation: Analysis of 533 adult patients who underwent transplantation at King’s College Hospital
Wang, M., Wang, W., Abeywardane, A. & Mijovic, A., Jan 2015, In: Biology of Blood and Marrow Transplantation. 21, 1, p. 60-66 7 p.Research output: Contribution to journal › Article › peer-review
Open Access58 Citations (Scopus) -
Modelling the role of catastrophe, crossover and Katanin in the self organisation of cortical microtubules
Mace, A. & Wang, W., Dec 2015, In: IET Systems Biology. 9, 6, p. 277-284 8 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Retinal vessel segmentation using multi-scale textons derived from keypoints
Zhang, L., Fisher, M. & Wang, W., Oct 2015, In: Computerized Medical Imaging and Graphics. 45, p. 47-56 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile59 Citations (Scopus)18 Downloads (Pure) -
2013
Estimating the predominant number of clusters in a dataset
Al Shaqsi, J. & Wang, W., Jul 2013, In: Intelligent Data Analysis. 17, 4, p. 603-626 24 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
2012
Novel consensus approaches to the reliable ranking of features for seabed imagery classification
Harrison, R., Birchall, R., Mann, D. & Wang, W., Dec 2012, In: International Journal of Neural Systems. 22, 6, 18 p., 1250026.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus) -
Objective and subjective measures of fuel poverty
Waddams Price, C., Brazier, K. & Wang, W., Oct 2012, In: Energy Policy. 49, p. 33-39 7 p.Research output: Contribution to journal › Article › peer-review
149 Citations (Scopus) -
What influences the accuracy of decision tree ensembles?
Richards, G. & Wang, W., Dec 2012, In: Journal of Intelligent Information Systems. 39, 3, p. 627-650 24 p.Research output: Contribution to journal › Article › peer-review
10 Citations (Scopus) -
2009
Degradome expression profiling in human articular cartilage
Swingler, T. E., Waters, J. G., Davidson, R. K., Pennington, C. J., Puente, X. S., Darrah, C., Cooper, A., Donell, S. T., Guile, G. R., Wang, W. & Clark, I. M., 23 Jun 2009, In: Arthritis Research & Therapy. 11, 96.Research output: Contribution to journal › Article › peer-review
Open Access62 Citations (Scopus) -
2007
On diversity and accuracy of homogeneous and heterogeneous ensembles
Bian, S. & Wang, W., 2007, In: International Journal of Hybrid Intelligent Systems. 4, 2, p. 103-128 26 p.Research output: Contribution to journal › Article › peer-review
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2006
Feature salience definition and estimation and its use in feature subset selection
Richards, G., Brazier, K. J. & Wang, W., Jan 2006, In: Intelligent Data Analysis. 10, 1, p. 3-21 19 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
2005
Intelligent ensemble system aids osteoporosis early detection
Wang, W. & Rae, S., 2005, In: WSEAS Transaction on Systems. 4, 4, p. 455-560 106 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
2001
A comparative study of feature-salience ranking techniques
Wang, W., Jones, P. & Partridge, D., Jul 2001, In: Neural Computation. 13, 7, p. 1603-1623 21 p.Research output: Contribution to journal › Article › peer-review
31 Citations (Scopus) -
2000
An effective genetic algorithm for job shop scheduling
Wang, W. & Brunn, P., 1 Apr 2000, In: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 214, 4, p. 293-300 8 p.Research output: Contribution to journal › Article › peer-review
16 Citations (Scopus) -
Assessing the impact of input features in a feedforward network
Wang, W., Jones, P. & Partridge, D., 2000, In: Neural Computing & Applications. 19, 2, p. 101-112 12 p.Research output: Contribution to journal › Article › peer-review
59 Citations (Scopus)