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Number of items: 50.

Book (authored)

Wu, Shengli (2012) Data Fusion in Information Retrieval. Springer. 228 pp ISBN 978-3-642-28865-4 [Book (authored)]

Book section

Jurek, Anna, Bi, Yaxin, Wu, Shengli and Nugent, Chris D. (2011) Classification by Cluster Analysis: A New Meta-Learning Based Approach. In: Proceeding MCS'11 Proceedings of the 10th international conference on Multiple classifier systems. Springer-Verlag Berlin, pp. 259-268. ISBN 978-3-642-21556-8 [Book section]

Jurek, Anna, Bi, Yaxin, Wu, Shengli and Nugent, Chris D. (2010) A Meta Learning Approach: Classification by Cluster Analysis. In: Artificial Intelligence: Methodology, Systems, and Applications Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 267-268. ISBN 978-3-642-15430-0 [Book section]

Bi, Yaxin, Wu, Shengli, Shen, Xuhui and Guan, jiwen (2010) Rough Analysis for Knowledge Discovery in a Simplified Earthquake Database. In: Integrated Uncertainty Management and Applications Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, pp. 489-500. ISBN 978-3-642-11959-0 [Book section]

Bi, Yaxin and Wu, Shengli (2010) Measuring Impact of Diversity of Classifiers on the Accuracy of Evidential Ensemble Classifiers. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods Communications in Computer and Information Science. Springer Berlin Heidelberg, pp. 238-247. ISBN 978-3-642-14054-9 [Book section]

Wu, Shengli, Bi, Yaxin and Zeng, Xiaoqin (2010) Retrieval Result Presentation and Evaluation. In: Knowledge Science, Engineering and Management Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 125-136. ISBN 978-3-642-15279-5 [Book section]

Bi, Yaxin, Shen, Xuhui and Wu, Shengli (2008) Uncertainty Reasoning in Rough Knowledge Discovery. In: Interval / Probabilistic Uncertainty and Non-Classical Logics Advances in Soft Computing. Springer Berlin Heidelberg, pp. 187-200. ISBN 978-3-540-77663-5 [Book section]

Bi, Yaxin, Wu, Shengli, Shen, Xuhui and Xiong, Pan (2008) Combining Classifiers through Triplet-Based Belief Functions. In: Machine Learning and Knowledge Discovery in Databases Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 102-116. ISBN 978-3-540-87478-2 [Book section]

Wu, Shengli, Bi, Yaxin, Zeng, Xiaoqin and Han, Lixin (2008) The Experiments with the Linear Combination Data Fusion Method in Information Retrieval. In: Progress in WWW Research and Development Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 432-437. ISBN 978-3-540-78848-5 [Book section]

Wu, Shengli, Bi, Yaxin, Zeng, Xiaoqin and Han, Lixin (2008) The Experiments with the Linear Combination Data Fusion Method in Information Retrieval. In: Progress in WWW Research and Development Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 432-437. ISBN 978-3-540-78848-5 [Book section]

Bi, Yaxin, Wu, Shengli, Huang, Xuming and Guo, Gongde (2006) Combining Multiple Sets of Rules for Improving Classification Via Measuring Their Closenesses. In: PRICAI 2006: Trends in Artificial Intelligence Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 1068-1072. ISBN 978-3-540-36667-6 [Book section]

Conference contribution

Wu, Shengli and Huang, Chunlan (2014) Search result diversification via data fusion. In: The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014. ACM. 4 pp. [Conference contribution]

Jurek, Anna, Bi, Yaxin, Nugent, Chris and Wu, S (2013) Application of a Cluster-Based Classifier Ensemble to Activity Recognition in Smart Homes. In: Ambient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Carrillo, Costa Rica, December 2-6, 2013. Lecture Notes in Computer Science 8277. 8 pp. [Conference contribution]

Wu, Shingli, Xing, Yuping, Li, Jieyu and Bi, Yaxin (2012) Adaptive Data Fusion Methods for Dynamic Search Environments. In: 8th Asia Information Retrieval Societies Conference, AIRS 2012, Tianjin, China, December 17-19, 2012. Proceedings. Lecture Notes in Computer Science 7675, Springer 2012. 10 pp. [Conference contribution]

Bi, Yaxin, Wu, Shengli, Wang, Hui and Guo, Guode (2011) Combination of Evidence-Based Classifiers for Text Categorization. In: Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on. IEEE Press. 8 pp. [Conference contribution]

Jurek, Anna, Bi, Yaxin, Wu, Shengli and Nugent, Chris D. (2011) Classification by Clusters Analysis - An Ensemble Technique in a Semi-supervised Classification. In: Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on. IEEE Press. 13 pp. [Conference contribution]

Wu, Shengli, Bi, Yaxin and zeng, xiaoqin (2011) The Linear Combination Data Fusion Method in Information Retrieval. In: DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II. Springer-Verlag Berlin. 14 pp. [Conference contribution]

Wu, Shengli, Bi, Yaxin and zeng, xiaoqin (2011) Using the Euclidean Distance for Retrieval Evaluation. In: Using the Euclidean Distance for Retrieval Evaluation. Springer Berlin Heidelberg. 14 pp. [Conference contribution]

Bi, Yaxin, Wu, Shengli, Pan, Xiong and Xuhui, Shen (2009) A Comparative Analysis for Detecting Seismic Anomalies in Data Sequences of Outgoing Longwave Radiation. In: 3rd International Conference on Knowledge Science, Engineering and Management , Vienna. UNSPECIFIED. 11 pp. [Conference contribution]

Wu, Shengli, Bi, Yaxin and Liu, Jun (2009) The Cubic Regression Model for Merging Results from Multiple Text Databases. In: Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on, Zhuhai, China. IEEE xplore. 8 pp. [Conference contribution]

Bi, Yaxin, Wu, Shengli, Shen, Xuhui and Pan, Xiong (2008) Combining Classifiers through Triplet-Based Belief Functions. In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium. Springer. 14 pp. [Conference contribution]

Bi, Yaxin, Wu, Shengli, Xiong, Pan and Shen, Xuhui (2008) Classifier Combination Using a Class-indifferent Method. In: 18th European Conference on Artificial Intelligence, Greece. IOS Press . Vol 178 2 pp. [Conference contribution]

Liu, Chang, Wang, Hui, McClean, Sally, Liu, Jun and Wu, Shengli (2008) Exploring and Measuring Dependency Trees for Information Retrieval. In: Doctoral Forum of the 31st Annual International ACM SIGIR Conference, Singapore. ACM. 5 pp. [Conference contribution]

Liu, Chang, Wang, Hui, McClean, Sally, Liu, Jun and Wu, Shengli (2008) Pruning Dependency Trees in a Syntactic Information Retrieval Model. In: IEEE international Conference on Audio, Language and Image Processing, Shanghai, China. IEEE. 10 pp. [Conference contribution]

Bi, Yaxin, Wu, Shengli and Guo, Gongde (2007) Combining Prioritized Decisions in Classification. In: MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence. Springer-Verlag Berlin. 11 pp. [Conference contribution]

Liu, Chang, Wang, Hui, McClean, Sally, Liu, Jun and Wu, Shengli (2007) A Study of Syntactic Information Retrieval. In: 18th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin. Springer. 10 pp. [Conference contribution]

Liu, Chang, Wang, Hui, McClean, Sally, Liu, Jun and Wu, Shengli (2007) Syntactic Information Retrieval. In: IEEE international Conference on Granular Computing, San Jose, California, USA. IEEE. 6 pp. [Conference contribution]

Wu, Shengli, Bi, Yaxin and McClean, Sally (2007) Applying statistical principles to data fusion in information retrieval. In: IEEE International Conference on Systems, Man and Cybernetics, 2007 , Montreal, Canada. IEEE. 7 pp. [Conference contribution]

Wu, Shengli, Bi, Yaxin and McClean, Sally (2007) Regression Relevance Models for Data Fusion. In: Regression Relevance Models for Data Fusion. IEEE Press. 4 pp. [Conference contribution]

Wu, Shengli and McClean, Sally (2007) Several methods of ranking retrieval systems with partial relevance judgment. In: 2nd International Conference on Digital Information Management, 2007 (ICDIM '07), Lyon, France. IEEE. 6 pp. [Conference contribution]

Bi, Yaxin, Zhang, Q., Wu, Shengli and Guan, J. (2006) Using Multiple Sets of Attributes for Text Categorization. In: Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, 13-16 August 2006, . IEEE Press. 4 pp. [Conference contribution]

Wu, Shengli, Crestani, Fabio and Bi, Yaxin (2006) Evaluating Score Normalization Methods in Data Fusion. In: AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology. Springer-Verlag Berlin. 6 pp. [Conference contribution]

Wu, S and McClean, SI (2004) Data Fusion with Correlation Weights. In: Advances in Information Retrieval, 27th European Conference on IR Research, ECIR 2005, Santiago de Compostela, Spain. Lecture Notes in Computer Science 3408, Springer. 12 pp. [Conference contribution]

Journal article

Wu, Shengli and Crestani, Fabio (2015) A geometric framework for data fusion in information retrieval. Inf. Syst., 50 . pp. 20-35. [Journal article]

Jurek, Anna, Bi, Yaxin, Wu, Shengli and Nugent, Chris (2014) A survey of commonly used ensemble-based classification techniques. The Knowledge Engineering Review, 29 (5). pp. 551-581. [Journal article]

Jurek, Anna, Nugent, CD, Bi, Yaxin and Wu, Shengli (2014) Clustering-Based Ensemble Learning for Activity Recognition in Smart Homes. Sensors, 14 (7). p. 12285. [Journal article]

Jurek, Anna , Bi, Yaxin, Wu, Shengli and Nugent, Chris D. (2014) Clustering-Based Ensembles as an Alternative to Stacking. IEEE Transactions on Knowledge and Data Engineering , 26 (9). pp. 2120-2137. [Journal article]

Wu, S, Li, J, Zeng, X and Bi, Y (2014) Adaptive data fusion methods in information retrieval. Journal of the Association for Information Science and Technology, 65 (10). pp. 2048-2061. [Journal article]

Wu, Shengli (2013) The weighted Condorcet fusion in information retrieval. Information Processing & Management, 49 (1). pp. 108-122. [Journal article]

Yang, Jing, Zeng , Xiaoqin, Zhong, Shuiming and Wu, S (2013) Effective Neural Network Ensemble Approach for Improving Generalization Performance. IEEE Trans. Neural Netw. Learning Syst., 24 (6). pp. 878-887. [Journal article]

Wu, Shengli (2012) Applying the data fusion technique to blog opinion retrieval. Expert Systems with Applications, 39 (1). pp. 1346-1353. [Journal article]

Wu, Shengli (2012) Linear combination of component results in information retrieval. Data Knowl. Eng., 71 (1). pp. 114-126. [Journal article]

Zhong, Shuiming, Zeng, Xiaoqin, Wu, Shengli and Han, Lixin (2012) Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 23 (3). pp. 480-491. [Journal article]

Wu, Shengli (2009) Applying statistical principles to data fusion in information retrieval. Expert Syst. Appl., 36 (2). pp. 2997-3006. [Journal article]

Wu, Shengli, Bi, Yaxin, Zeng, Xiaoqin and Han, Lixin (2009) Assigning appropriate weights for the linear combination data fusion method in information retrieval. Inf. Process. Manage., 45 (4). pp. 413-426. [Journal article]

Wu, Shengli, Bi, Yaxin, Zeng, Xiaoqin and Han, Lixin (2009) Assigning appropriate weights for the linear combination data fusion method in information retrieval. Information Processing & Management, 45 (4). pp. 413-426. [Journal article]

Wu, Shengli and Crestani, Fabio (2008) Ranking Retrieval Systems with Partial Relevance Judgements. Journal of Universal Computer Scicence , 14 (7). pp. 1020-1030. [Journal article]

Wu, S and McClean, SI (2007) Result Merging Methods in Distributed Information Retrieval with Overlapping Databases. Information Retrieval, 10 (3). pp. 297-319. [Journal article]

Wu, S and McClean, SI (2006) Improving High Accuracy Retrieval by Eliminating the Uneven Correlation Effect in Data Fusion. Journal of the American Society for Information Science and Technology, 57 (14). pp. 1962-1973. [Journal article]

Wu, S and McClean, SI (2006) Performance Prediction of Data Fusion for Information Retrieval. Information Processing & Management, 42 (4). pp. 899-915. [Journal article]

This list was generated on Fri May 6 02:08:45 2016 BST.