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» Probabilistic Models for Expert Finding
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BMEI
2009
IEEE
13 years 9 months ago
An Improved Probabilistic Model for Finding Differential Gene Expression
Abstract--Finding differentially expressed genes is a fundamental objective of a microarray experiment. Recently proposed method, PPLR, considers the probe-level measurement error ...
Li Zhang, Xuejun Liu
ICDM
2010
IEEE
213views Data Mining» more  ICDM 2010»
13 years 5 months ago
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling
Citizen scientists, who are volunteers from the community that participate as field assistants in scientific studies [3], enable research to be performed at much larger spatial and...
Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson
ECAI
2010
Springer
13 years 9 months ago
Learning Aggregation Functions for Expert Search
Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
Ronan Cummins, Mounia Lalmas, Colm O'Riordan
ICDM
2007
IEEE
198views Data Mining» more  ICDM 2007»
14 years 2 months ago
Social Network Extraction of Academic Researchers
This paper addresses the issue of extraction of an academic researcher social network. By researcher social network extraction, we are aimed at finding, extracting, and fusing the...
Jie Tang, Duo Zhang, Limin Yao
ECIR
2007
Springer
13 years 9 months ago
Enhancing Expert Search Through Query Modeling
An expert finding is a very common task among enterprise search activities, while its usual retrieval performance is far from the quality of the Web search. Query modeling helps t...
Pavel Serdyukov, Sergey Chernov, Wolfgang Nejdl