Items where Author is "Wang, Wenjia"

AlShaqsi, Jamil, Wang, Wenjia, Drogham, Osama and Alkhawaldeh, Rami S. (2024) Quantitative and qualitative similarity measure for data clustering analysis. Cluster Computing, 27 (10). pp. 14977-15002. ISSN 1386-7857

Alshaqsi, Jamil, Wang, Wenjia and Drogham, Osama (2024) Tri-level robust clustering ensemble (TRCE) algorithm for clustering enhancement with comparative analysis. Engineered Science, 30.

Al Ghamdi, Mostafa, Parr, Gerard ORCID: https://orcid.org/0000-0002-9365-9132 and Wang, Wenjia (2024) Heterogeneous machine learning ensembles for predicting train delays. IEEE Transactions on Intelligent Transportation Systems, 25 (6). pp. 5138-5153. ISSN 1524-9050

Khampuengson, Thakolpat and Wang, Wenjia (2023) Novel methods for imputing missing values in water level monitoring data. Water Resources Management, 37 (2). pp. 851-878. ISSN 0920-4741

Eze, Onyedikachi, Guile, Geoffrey and Wang, Wenjia (2022) Detecting the Faults of Subsea Power Cables of Wind Farms with Boosting Ensemble Methods. In: Proceedings of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). ICECCME, pp. 2492-2497.

Khampuengson, Thakolpat and Wang, Wenjia (2022) Deep reinforcement learning ensemble for detecting anomaly in telemetry water level data. Water, 14 (16). ISSN 2073-4441

Milner, Ben, Wang, Wenjia, Websdale, Danny, Gutierrez, Francisco and Dowdeswell, Richard (2022) The Potential of Artificial Intelligence in Phase-Measuring Bathymetric Sonar Data Processing. In: Mediterranean and Black Sea Hydrographic Conference No 23, 2022-03-29 - 2022-04-01.

Alyahyan, Saleh and Wang, Wenjia (2022) Decision level ensemble method for classifying multi-media data. Wireless Networks, 28 (3). 1219–1227. ISSN 1022-0038

Wood, Justin and Wang, Wenjia (2022) Creating Variant Features to Enhance Covid-19 Predictions with Machine Learning Ensemble.

Khampuengson, Thakolpat, Bagnall, Tony and Wang, Wenjia (2020) Developing Ensemble Methods for Detecting Anomalies in Water Level Data. In: The 22nd International Conference on Big Data Analytics and Knowledge Discovery. Springer, SVK, pp. 145-151. ISBN 9783030637989

Al Ghamdi, Mostafa, Parr, Gerard ORCID: https://orcid.org/0000-0002-9365-9132 and Wang, Wenjia (2020) Weighted Ensemble Methods for Predicting Train Delays. In: Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . UNSPECIFIED, 978-3-030-58798-7, pp. 586-600. ISBN 9783030587987

Aleryani, Aliya, Wang, Wenjia and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2020) Multiple Imputation Ensembles (MIE) for dealing with missing data. SN Computer Science, 1 (3). ISSN 2661-8907

Alqurashi, Tahani and Wang, Wenjia (2019) Clustering ensemble method. International Journal of Machine Learning and Cybernetics, 10 (6). pp. 1227-1246. ISSN 1868-8071

Wessels, Pieter, Moran, Nick, Johnston, Ali and Wang, Wenjia (2019) Hybrid expert ensembles for identifying unreliable data in citizen science. Engineering Applications of Artificial Intelligence, 81. pp. 200-212. ISSN 0952-1976

Algurashi, Alia and Wang, Wenjia (2019) Hybrid Feature Selection Method for Improving File Fragment Classification. In: Artificial Intelligence XXXVI - 39th SGAI International Conference on Artificial Intelligence, AI 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . UNSPECIFIED, pp. 379-391. ISBN 978-3-030-34884-7

Alyahyan, Saleh and Wang, Wenjia (2018) Generalised Decision Level Ensemble Method for Classifying Multi-media Data. In: SGAI 2018: Artificial Intelligence XXXV. Springer, GBR, pp. 326-339. ISBN 978-3-030-04190-8

Alharbi, Najmah, Zhou, Ji and Wang, Wenjia (2018) Automatic Counting of Wheat Spikes from Wheat Growth Images. In: 7th International Conference on Pattern Recognition Applications and Methods. SciTePress – Science and Technology Publications, PRT, pp. 346-355. ISBN 978-989-758-276-9

Aleryani, Aliya, Wang, Wenjia and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2018) Dealing with Missing Data and Uncertainty in the Context of Data Mining. In: Hybrid Artificial Intelligent Systems. Hybrid Artificial Intelligent Systems . Springer, pp. 289-301. ISBN 978-3-319-92638-4

Alyahyan, Saleh and Wang, Wenjia (2017) Feature Level Ensemble Method for Classifying Multi-Media Data. In: International Conference on Innovative Techniques and Applications of Artificial Intelligence. Lecture Notes in Computer Science . Springer, GBR, pp. 235-249. ISBN 978-3-319-71077-8

Aldehim, Ghadah and Wang, Wenjia (2017) Determining appropriate approaches for using data in feature selection. International Journal of Machine Learning and Cybernetics, 8 (3). 915–928. ISSN 1868-808X

Ballard, Chris and Wang, Wenjia (2016) Dynamic ensemble selection methods for heterogeneous data mining. In: 12th World Congress on Intelligent Control and Automation (WCICA), 2016. The Institute of Electrical and Electronics Engineers (IEEE), CHN. ISBN 978-1-4673-8415-5

Alyahyan, Saleh, Farrash, Majed and Wang, Wenjia (2016) Heterogeneous Ensemble for Imaginary Scene Classification. In: Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR. UNSPECIFIED, POL, pp. 197-204. ISBN 978-989-758-203-5

Mace, Alex and Wang, Wenjia (2015) Modelling the role of catastrophe, crossover and Katanin in the self organisation of cortical microtubules. IET Systems Biology, 9 (6). pp. 277-284. ISSN 1751-8849

Aldehim, Ghadah and Wang, Wenjia (2015) Weighted Heuristic Ensemble of Filters. In: SAI Intelligent Systems Conference 2015, 2015-11-10 - 2015-11-11.

Alqurashi, Tahani and Wang, Wenjia (2015) A New Consensus Function based on Dual-Similarity Measurements for Clustering Ensemble. In: IEEE DSAA 2015 (International Conference on Data Science and Advanced Analytics);, 2015-10-19 - 2015-10-21.

Zhang, Lei, Fisher, Mark and Wang, Wenjia (2015) Retinal vessel segmentation using multi-scale textons derived from keypoints. Computerized Medical Imaging and Graphics, 45. pp. 47-56. ISSN 0895-6111

Farrash, Majed and Wang, Wenjia (2015) An Algorithm for Identifying the Learning Patterns in Big Data. In: IEEE Conference on Big Data, 2015-08-20 - 2015-08-22.

Zhang, Lei, Fisher, Mark and Wang, Wenjia (2015) Comparative performance of Texton based vascular tree segmentation in retinal images. In: 2014 IEEE International Conference on Image Processing (ICIP). The Institute of Electrical and Electronics Engineers (IEEE), FRA, pp. 952-956.

Wang, Meng, Wang, Wenjia, Abeywardane, Ayesha and Mijovic, Aleksandar (2015) Autoimmune hemolytic anemia after allogeneic hematopoietic stem cell transplantation: Analysis of 533 adult patients who underwent transplantation at King’s College Hospital. Biology of Blood and Marrow Transplantation, 21 (1). pp. 60-66. ISSN 1523-6536

Mace, Alex and Wang, Wenjia (2015) Modelling the role of catastrophe, crossover and Katanin in the self organisation of cortical microtubules. IET Systems Biology. ISSN 1751-8849 (Submitted)

Mojahed, Aalaa, Bettencourt-Silva, Joao H., Wang, Wenjia and de la Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2015) Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF). In: Machine Learning and Data Mining in Pattern Recognition. Lecture Notes in Computer Science, 9166 . Springer, pp. 251-265. ISBN 978-3-319-21023-0

Aldehim, Ghadah and Wang, Wenjia (2014) Reliability and Effectiveness of Cross-validation in Feature Selection. In: 34th SGAI International Conference on Artificial Intelligence, 2014-12-09 - 2014-12-11, Peterhouse College.

Harrison, Richard, Bianconi, Francesco, Harvey, Richard ORCID: https://orcid.org/0000-0001-9925-8316 and Wang, Wenjia (2014) A Texture Analysis Approach to Identifying Sabellaria Spinulosa Colonies in Sidescan Sonar Imagery. In: 2011 Irish Machine Vision and Image Processing Conference. The Institute of Electrical and Electronics Engineers (IEEE), IRL. ISBN 978-1-4673-0230-2

Alqurashi, Tahani and Wang, Wenjia (2014) Object-Neighbourhood based Clustering Ensemble Method. In: 15th International Conference on Intelligent Data Engineering and Automated Learning, 2014-09-09 - 2014-09-12.

Alqurashi, Tahani and Wang, Wenjia (2014) A Graph based Methodology for Web Structure Mining:with a Case Study on the Webs of UK Universities. In: International Conference on Web Intelligence, Mining and Semantics, 2014-06-02 - 2014-06-05.

Aldehim, Ghadah, De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 and Wang, Wenjia (2014) Heuristic Ensemble of Filters for Reliable Feature Selection. In: International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014), 2014-05-10.

Zhang, Lei, Fisher, Mark and Wang, Wenjia (2014) Retinal vessel segmentation using Gabor Filter and Textons. In: Medical Image Understanding and Analysis (MIUA 2014), 2014-07-09 - 2014-07-11, Royal Holloway College.

Zhang, Lei, Fisher, Mark and Wang, Wenjia (2014) Comparative performance of Texton based vascular tree segmentation in retinal images. In: IEEE Int. Conf. on Image Processing (ICIP'2014), 2014-10-28 - 2014-10-30, Paris.

Wang, Wenjia and Farrash, Majed (2013) How data partitioning strategies influence the performance of ensemble in big data mining? In: IEEE Int. Conference on Big Data, 2013-10-06 - 2013-10-10.

Al Shaqsi, Jamil and Wang, Wenjia (2013) Estimating the predominant number of clusters in a dataset. Intelligent Data Analysis, 17 (4). pp. 603-626. ISSN 1088-467X

Zhang, Lei, Fisher, Mark and Wang, Wenjia (2013) Locating blood vessels in retinal images using unified Textons. In: 17th Annual Conference in Medical Image Understanding and Analysis (MIUA), 2013-07-10.

Wang, M, Wang, Wenjia and Abeywardane, A. (2013) Autoimmune haemolytic anaemia after allogeneic haematopoietic stem cell transplantation: analysis of 555 transplant patients at King’s College Hospital. In: 53rd Annual Scientific Meeting of the British Society for Haematology, 2013-04-20.

Alshaqsi, Jamil and Wang, Wenjia (2013) A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set. In: Proceedings of the 11th International Conference on Machine Learning and Applications (ICMLA). The Institute of Electrical and Electronics Engineers (IEEE), GBR. ISBN 978-1-4673-4651-1

Harrison, Richard, Birchall, Roger, Mann, Dave and Wang, Wenjia (2012) Novel consensus approaches to the reliable ranking of features for seabed imagery classification. International Journal of Neural Systems, 22 (6). ISSN 0129-0657

Richards, Graeme and Wang, Wenjia (2012) What influences the accuracy of decision tree ensembles? Journal of Intelligent Information Systems, 39 (3). pp. 627-650. ISSN 0925-9902

Waddams Price, Catherine, Brazier, Karl and Wang, Wenjia (2012) Objective and subjective measures of fuel poverty. Energy Policy, 49. pp. 33-39. ISSN 0301-4215

Alotaibi, K., Rayward-Smith, V.J., Wang, W. and De La Iglesia, B. ORCID: https://orcid.org/0000-0003-2675-5826 (2012) Non-linear dimensionality reduction for privacy-preserving data classification. In: Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012. UNSPECIFIED, pp. 694-701. ISBN 9780769548487

Harrison, Richard, Birchall, Roger, Mann, Dave and Wang, Wenjia (2011) A Novel Ensemble of Distance Measures for Feature Evaluation: Application to Sonar Imagery. In: Intelligent Data Engineering and Automated Learning - IDEAL 2011. Springer, pp. 327-336. ISBN 978-3-642-23877-2

Li, Qiao, Macgregor, Alexander J. ORCID: https://orcid.org/0000-0003-2163-2325 and Wang, Wenjia (2011) Novel Data Mining Approaches for Detecting Quantitative Trait Loci of Bone Mineral Density in Genome-Wide Linkage Analysis. In: Intelligent Data Engineering and Automated Learning - IDEAL 2011. Springer, pp. 498-510.

Mace, Alex, Sommariva, Roberto, Fleming, Zoe and Wang, Wenjia (2011) Adaptive K-Means for Clustering Air Mass Trajectories. In: Intelligent Data Engineering and Automated Learning - IDEAL 2011. Springer, pp. 1-8.

Swingler, Tracey E., Waters, Jasmine G., Davidson, Rosemary K. ORCID: https://orcid.org/0000-0002-6624-4011, Pennington, Caroline J., Puente, Xose S., Darrah, Clare, Cooper, Adele, Donell, Simon T., Guile, Geoffrey R., Wang, Wenjia and Clark, Ian M. (2009) Degradome expression profiling in human articular cartilage. Arthritis Research & Therapy, 11.

Guile, G. and Wang, W. (2008) Boosting for feature selection for microarray data analysis. In: Proceedings of IEEE WCCI-IJCNN08, 2008-01-01.

Guile, G. and Wang, W. (2008) Relationships between depth of decision tree and boosting performance. In: Proceedings of IEEE WCCI-IJCNN08, 2008-01-01.

Wang, W. (2008) Some fundamental issues in ensemble methods. In: IEEE World Congress on Computational Intelligence, 2008-06-01 - 2008-06-06.

Wang, W. and Cao-Thai, P. (2008) Novel Position coded methods for mining and ranking web access patterns. In: Conference on Intelligence and Security Informatics, 2008-01-01.

Bian, S. and Wang, W. (2007) Ensemble Classification System Implementation for Biomedical Data. In: Life Science Data Mining. Science, Engineering, and Biology Informatics, 2 . World Science Publishers, pp. 239-256. ISBN 978-981-270-064-3

Bian, Shun and Wang, Wenjia (2007) On diversity and accuracy of homogeneous and heterogeneous ensembles. International Journal of Hybrid Intelligent Systems, 4 (2). pp. 103-128. ISSN 1448-5869

Guile, Geoffrey R. and Wang, Wenjia (2007) Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis. In: 2007 International Joint Conference on Neural Networks, 2007-08-12 - 2007-08-17.

Wang, Wenjia (2007) Diversity and Accuracy of Data Mining Ensemble. In: Life Science Data Mining. Science, Engineering, and Biology Informatics, 2 . World Science Publishers, pp. 47-72. ISBN 978-981-270-064-3

Richards, G. and Wang, W. (2006) Investigations on the Characteristics of Random Decision Tree Ensembles. In: International Joint Conference on Neural Networks, 2006-07-16 - 2006-07-21.

Richards, G., Brazier, K. J. and Wang, W. (2006) Feature salience definition and estimation and its use in feature subset selection. Intelligent Data Analysis, 10 (1). pp. 3-21. ISSN 1088-467X

Bian, S. and Wang, W. (2006) Investigation on Diversity in Homogeneous and Heterogeneous Ensembles. In: 2006 International Joint Conference on Neural Networks, 2007-07-16 - 2007-07-21.

Guile, G., Rae, S., Young, A. and Wang, W. (2006) What can we learn from follow-up DEXA scans? Osteoporosis International, 17 (4). p. 422. ISSN 0937-941X

Wang, W., Rae, S. and Richards, G. (2006) Hybrid Data Mining Ensemble for Identifying Osteoporosis Risk Factors and Likelihood. Osteoporosis International, 17. p. 409. ISSN 0937-941X

Richards, G., Brazier, K. and Wang, W. (2005) The Definition and Estimation of Feature Salience in Databases. In: Conference on Databases and Applications, 2005-02-14 - 2005-02-16.

Wang, W. and Rae, S. (2005) Intelligent ensemble system aids osteoporosis early detection. WSEAS Transaction on Systems, 4 (4). pp. 455-560.

Rae, S. and Wang, W. (2002) Predicting osteoporosis from risk factors with data mining ensembles. In: International Osteoporosis Foundation: World Congress on Osteoporosis, 2002-05-10 - 2002-05-14.

Wang, Wenjia (2002) Quantifying Relevance of Input Features. In: Intelligent Data Engineering and Automated Learning — IDEAL 2002 Third International Conference Manchester, UK, August 12–14, 2002 Proceedings. Lecture Notes in Computer Science, 2412 . Springer Berlin / Heidelberg, pp. 685-695. ISBN 978-3-540-44025-3

Wang, W. (2001) Identifying Salient Risk Factors by Clamping Neural Networks. In: IASTED International Conference on Artificial Intelligence and Applications, 2001-09-01.

Wang, W., Jones, P. and Partridge, D. (2001) A comparative study of feature-salience ranking techniques. Neural Computation, 13 (7). pp. 1603-1623. ISSN 0899-7667

Wang, W., Partridge, D. and Etherington, J. (2001) Hybrid Ensembles and Coincident-Failure Diversity. In: International Joint Conference on Neural Networks (IJCNN '01), 2001-07-15 - 2001-07-19.

Partridge, D., Wang, W. and Jones, P. (2001) Efficient and Effective Feature Selection in the Presence of Feature Interaction and Noise. In: Advances in Pattern Recognition — ICAPR 2001. Lecture Notes in Computer Science, 2013 . Springer Berlin / Heidelberg, BRA, pp. 196-201. ISBN 978-3-540-41767-5

Wang, W., Jones, P. and Partridge, D. (2000) Identification of Feature-Salience. In: IEEE-INNS-ENNS, International Joint Conference on Neural Networks, 2000-07-24 - 2000-07-27.

Wang, W. and Partridge, D. (2000) Multiversion systems of neural networks and decision trees. In: IASTED International Conference on Neural Networks (NN'2000), 2000-05-15 - 2000-05-17.

Wang, W. and Brunn, P. (2000) An effective genetic algorithm for job shop scheduling. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 214 (4). pp. 293-300. ISSN 0954-4054

Partridge, D., Wang, W. and Jones, P. (2000) Artificial intelligence techniques for software system enhancement. In: International ICSC Congress on Intelligent Systems and Applications, 2000-01-01.

Wang, W., Jones, P. and Partridge, D. (2000) Assessing the impact of input features in a feedforward network. Neural Computing & Applications, 19 (2). pp. 101-112. ISSN 0941-0643

Wang, Wenjia, Jones, Phillis and Partridge, Derek (2000) Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems. In: Multiple Classifier Systems. Lecture Notes in Computer Science, 1857 . Springer Berlin / Heidelberg, ITA, pp. 240-249. ISBN 978-3-540-67704-8