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Saket Sathe 0001
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Publications
- 2024
[c25]Saket Sathe, Charu Aggarwal, Horst Samulowitz, Deepak S. Turaga:
Feature-Engineered Random Forests. SDM 2024: 100-108- 2021
[j8]Liang Duan, Shuai Ma, Charu Aggarwal, Saket Sathe:
Improving spectral clustering with deep embedding, cluster estimation and metric learning. Knowl. Inf. Syst. 63(3): 675-694 (2021)- 2019
[c24]Liang Duan, Charu C. Aggarwal, Shuai Ma, Saket Sathe:
Improving Spectral Clustering with Deep Embedding and Cluster Estimation. ICDM 2019: 170-179
[c23]Saket Sathe, Charu C. Aggarwal:
Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines. ICDM 2019: 1300-1305- 2018
[j6]Saket Sathe, Charu C. Aggarwal:
Subspace histograms for outlier detection in linear time. Knowl. Inf. Syst. 56(3): 691-715 (2018)- 2017
[b2]Charu C. Aggarwal, Saket Sathe:
Outlier Ensembles - An Introduction. Springer 2017, ISBN 978-3-319-54764-0, pp. 1-276
[c22]Saket Sathe, Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu:
Kernel-Based Feature Extraction for Collaborative Filtering. ICDM 2017: 1057-1062
[c20]Saket Sathe, Charu C. Aggarwal:
Similarity Forests. KDD 2017: 395-403
[c19]Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga:
Outlier Detection with Autoencoder Ensembles. SDM 2017: 90-98- 2016
[c18]Saket Sathe, Charu C. Aggarwal:
Subspace Outlier Detection in Linear Time with Randomized Hashing. ICDM 2016: 459-468
[c16]Saket Sathe, Charu C. Aggarwal:
LODES: Local Density Meets Spectral Outlier Detection. SDM 2016: 171-179
[c15]Xinyue Liu, Charu C. Aggarwal, Yufeng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe:
Kernelized Matrix Factorization for Collaborative Filtering. SDM 2016: 378-386- 2015
[j5]Charu C. Aggarwal, Saket Sathe:
Theoretical Foundations and Algorithms for Outlier Ensembles. SIGKDD Explor. 17(1): 24-47 (2015)

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