| Authorization and access control of application data in workflow systems S Wu, A Sheth, J Miller, Z Luo Journal of Intelligent Information Systems 18 (1), 71-94, 2002 | 137 | 2002 |
| Performance prediction of data fusion for information retrieval S Wu, S McClean Information processing & management 42 (4), 899-915, 2006 | 118 | 2006 |
| Methods for ranking information retrieval systems without relevance judgments S Wu, F Crestani Proceedings of the 2003 ACM symposium on Applied computing, 811-816, 2003 | 108 | 2003 |
| Effective neural network ensemble approach for improving generalization performance J Yang, X Zeng, S Zhong, S Wu IEEE transactions on neural networks and learning systems 24 (6), 878-887, 2013 | 104 | 2013 |
| A survey of commonly used ensemble-based classification techniques A Jurek, Y Bi, S Wu, C Nugent The Knowledge Engineering Review 29 (5), 551-581, 2014 | 97 | 2014 |
| Data fusion with estimated weights S Wu, F Crestani Proceedings of the eleventh international conference on Information and …, 2002 | 85 | 2002 |
| Evaluating score normalization methods in data fusion S Wu, F Crestani, Y Bi Information Retrieval Technology: Third Asia Information Retrieval Symposium …, 2006 | 59 | 2006 |
| Clustering-based ensemble learning for activity recognition in smart homes A Jurek, C Nugent, Y Bi, S Wu Sensors 14 (7), 12285-12304, 2014 | 58 | 2014 |
| GIMS-a data warehouse for storage and analysis of genome sequence and functional data M Cornell, NW Paton, S Wu, CA Goble, CJ Miller, P Kirby, K Eilbeck, ... Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and …, 2001 | 57 | 2001 |
| Assigning appropriate weights for the linear combination data fusion method in information retrieval S Wu, Y Bi, X Zeng, L Han Information Processing & Management 45 (4), 413-426, 2009 | 50 | 2009 |
| Query performance prediction by considering score magnitude and variance together Y Tao, S Wu Proceedings of the 23rd ACM international conference on conference on …, 2014 | 49 | 2014 |
| Linear combination of component results in information retrieval S Wu Data & Knowledge Engineering 71 (1), 114-126, 2012 | 44 | 2012 |
| Improving high accuracy retrieval by eliminating the uneven correlation effect in data fusion S Wu, S McClean Journal of the American Society for Information Science and Technology 57 …, 2006 | 40 | 2006 |
| Applying statistical principles to data fusion in information retrieval S Wu Expert Systems with Applications 36 (2), 2997-3006, 2009 | 35 | 2009 |
| A geometric framework for data fusion in information retrieval S Wu, F Crestani Information Systems 50, 20-35, 2015 | 34 | 2015 |
| Result merging methods in distributed information retrieval with overlapping databases S Wu, S McClean Information Retrieval 10, 297-319, 2007 | 34 | 2007 |
| Shadow document methods of resutls merging S Wu, F Crestani Proceedings of the 2004 ACM symposium on Applied computing, 1067-1072, 2004 | 34 | 2004 |
| Security for the Meteor workflow management system JA Miller, M Fan, S Wu, IB Arpinar, AP Sheth, KJ Kochut Department of Computer Science, University of Georgia, Athens, GA, Technical …, 1999 | 29 | 1999 |
| The weighted Condorcet fusion in information retrieval S Wu Information processing & management 49 (1), 108-122, 2013 | 25 | 2013 |
| Fusion-based methods for result diversification in web search S Wu, C Huang, L Li, F Crestani Information Fusion 45, 16-26, 2019 | 24 | 2019 |
Fabio CrestaniFaculty of Informatics, Universitá della Svizzera Italiana (USI), Lugano, SwitzerlandVerified email at usi.ch
