Martin Ester
机构: Distinguished Professor of Computer Science, Simon Fraser University
主页: sfu.ca
每年引用次数
引用次数
引用: 62,799
H-指数: 73
I10-指数 : 164
出版物: 261
SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machines
Tong He , Marten Heidemeyer , Fuqiang Ban , Artem Cherkasov
Journal of Cheminformatics 9 ( 1) 24 -24
200
2017
Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs
SHEN Xin , Hongxia Yang , Weizhao Xian , Martin Ester
knowledge discovery and data mining 886 -894
2
2018
A microeconomic data mining problem: customer-oriented catalog segmentation
Martin Ester , Rong Ge , Wen Jin , Zengjian Hu
knowledge discovery and data mining 557 -562
26
2004
Multi-task based Sales Predictions for Online Promotions
Shen Xin , Martin Ester , Jiajun Bu , Chengwei Yao
conference on information and knowledge management 2823 -2831
13
2019
Using a trust network to improve top-N recommendation
Mohsen Jamali , Martin Ester
conference on recommender systems 181 -188
148
2009
FeedbackTrust: using feedback effects in trust-based recommendation systems
Samaneh Moghaddam , Mohsen Jamali , Martin Ester , Jafar Habibi
conference on recommender systems 269 -272
25
2009
Selecting relevant instances for efficient and accurate collaborative filtering
Kai Yu , Xiaowei Xu , Martin Ester , Hans-Peter Kriegel
Proceedings of the tenth international conference on Information and knowledge management - CIKM'01 239 -246
56
2001
Social Recommendation with Strong and Weak Ties
Xin Wang , Wei Lu , Martin Ester , Can Wang
conference on information and knowledge management 5 -14
144
2016
Structural Analysis of User Choices for Mobile App Recommendation
Bin Liu , Yao Wu , Neil Zhenqiang Gong , Junjie Wu
ACM Transactions on Knowledge Discovery From Data 11 ( 2) 17
35
2016
Spatially embedded co-offence prediction using supervised learning
Mohammad A. Tayebi , Martin Ester , Uwe Glässer , Patricia L. Brantingham
knowledge discovery and data mining 1789 -1798
13
2014
A method for multi-relational classification using single and multi-feature aggregation functions
Richard Frank , Flavia Moser , Martin Ester
european conference on principles of data mining and knowledge discovery 430 -437
31
2007
Incremental Generalization for Mining in a Data Warehousing Environment
Martin Ester , Rüdiger Wittmann ,
extending database technology 135 -149
23
1998
Discovering significant OPSM subspace clusters in massive gene expression data
Byron J. Gao , Obi L. Griffith , Martin Ester , Steven J. M. Jones
knowledge discovery and data mining 922 -928
25
2006
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Martin Ester , Alexander Frommelt , Hans-Peter Kriegel , Jöorg Sander
Data Mining and Knowledge Discovery 4 ( 2) 193 -216
182
2000
Deep Genomic Signature for early metastasis prediction in prostate cancer
Hossein Sharifi-Noghabi , Yang Liu , Nicholas Erho , Raunak Shrestha
bioRxiv 276055
5
2018
Welcome from the ASONAM 2014 program chairs
Xindong Wu , Martin Ester , Guandong Xu
advances in social networks analysis and mining
2014
Bayesian Collective Markov Random Fields for Subcellular Localization Prediction of Human Proteins
Lu Zhu , Martin Ester
international conference on bioinformatics 321 -329
2017
User Behavior in Online Social Networks, Influencing Factors.
Bo Hu , Mohsen Jamali , Martin Ester
Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2289 -2302
2014
A matrix factorization technique with trust propagation for recommendation in social networks
Mohsen Jamali , Martin Ester
Proceedings of the fourth ACM conference on Recommender systems - RecSys '10 135 -142
1,731
2010
DGE: Deep Generative Network Embedding Based on Commonality and Individuality
Sheng Zhou , Xin Wang , Jiajun Bu , Martin Ester
national conference on artificial intelligence 34 ( 04) 6949 -6956
8
2020