Martin Ester

Affiliations: 
Computing Science Simon Fraser University, Burnaby, British Columbia, Canada 
Area:
Information Technology, Applied Mathematics, Computer Science
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"Martin Ester"
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Publications

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Li X, Wu Y, Ester M, et al. (2020) SCHAIN-IRAM: An Efficient and Effective Semi-supervised Clustering Algorithm for Attributed Heterogeneous Information Networks Ieee Transactions On Knowledge and Data Engineering. 1-1
Sharifi-Noghabi H, Zolotareva O, Collins CC, et al. (2019) MOLI: multi-omics late integration with deep neural networks for drug response prediction. Bioinformatics (Oxford, England). 35: i501-i509
Zhu L, Hofestaedt R, Ester M. (2019) Tissue-specific Subcellular Localization Prediction using Multi-label Markov Random Fields. Ieee/Acm Transactions On Computational Biology and Bioinformatics
Lu W, Chung F, Jiang W, et al. (2019) A Deep Bayesian Tensor-Based System for Video Recommendation Acm Transactions On Information Systems. 37: 1-22
He T, Heidemeyer M, Ban F, et al. (2017) SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machines. Journal of Cheminformatics. 9: 24
Liu Y, Ester M, Qian Y, et al. (2017) Microscopic and Macroscopic Spatio-Temporal Topic Models for Check-in Data Ieee Transactions On Knowledge and Data Engineering. 29: 1957-1970
Gao BJ, Ester M, Xiong H, et al. (2013) The minimum consistent subset cover problem: A minimization view of data mining Ieee Transactions On Knowledge and Data Engineering. 25: 690-703
Gao BJ, Griffith OL, Ester M, et al. (2012) On the deep order-preserving submatrix problem: A best effort approach Ieee Transactions On Knowledge and Data Engineering. 24: 309-325
Günnemann S, Dao P, Jamali M, et al. (2012) Assessing the significance of data mining results on graphs with feature vectors Proceedings - Ieee International Conference On Data Mining, Icdm. 270-279
Dao P, Hormozdiari F, Hajirasouliha I, et al. (2012) Proteome network emulating models Functional Coherence of Molecular Networks in Bioinformatics. 2147483647: 69-95
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