Feature-Engineered Random Forests
- Saket Sathe
- Charu Aggarwal
- et al.
- 2024
- SDM 2024
Conference paper
Publications
23 results for Saket Sathe
Improving spectral clustering with deep embedding, cluster estimation and metric learning
- Liang Duan
- Shuai Ma
- et al.
- 2020
- KAIS
PaperNearest neighbor classifiers versus random forests and support vector machines
- Saket Sathe
- Charu Aggarwal
- 2019
- ICDM 2019
Conference paperImproving spectral clustering with deep embedding and cluster estimation
- Liang Duan
- Charu Aggarwal
- et al.
- 2019
- ICDM 2019
Conference paperSubspace histograms for outlier detection in linear time
- Saket Sathe
- Charu Aggarwal
- 2018
- KAIS
PaperKernel-based feature extraction for collaborative filtering
- Saket Sathe
- Charu Aggarwal
- et al.
- 2017
- ICDM 2017
Conference paperSimilarity forests
- Saket Sathe
- Charu Aggarwal
- 2017
- KDD 2017
Conference paperData-driven characterisation of solar PV panel performance
- Sue Ann Chen
- Arun Vishwanath
- et al.
- 2017
- ISGT-Europe 2017
Conference paperOutlier detection with autoencoder ensembles
- Jinghui Chen
- Saket Sathe
- et al.
- 2017
- SDM 2017
Conference paperSubspace outlier detection in linear time with randomized hashing
- Saket Sathe
- Charu Aggarwal
- 2016
- ICDM 2016
Conference paper