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Saket Sathe 0001
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- affiliation: IBM T. J. Watson Research Center, NY, USA
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2020 – today
- 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)
2010 – 2019
- 2019
- [j7]Saket Sathe, Sayani Aggarwal, Jiliang Tang:
Gene Expression and Protein Function: A Survey of Deep Learning Methods. SIGKDD Explor. 21(2): 23-38 (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 - [c21]Sue Ann Chen, Arun Vishwanath, Saket Sathe:
Data-driven characterisation of solar PV panel performance. ISGT Europe 2017: 1-6 - [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 - [c17]Lianhua Chi, Saket Sathe, Bo Han, Yun Wang:
A Novel Method for Assessing Event Impacts on Event-Driven Time Series. ICDM Workshops 2016: 519-526 - [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) - [j4]Sue Ann Chen, Arun Vishwanath, Saket Sathe, Shivkumar Kalyanaraman:
Shedding Light on the Performance of Solar Panels: A Data-Driven View. SIGKDD Explor. 17(2): 24-36 (2015) - [c14]Tian Guo, Saket Sathe, Karl Aberer:
Fast Distributed Correlation Discovery Over Streaming Time-Series Data. CIKM 2015: 1161-1170 - [c13]Saket Sathe, Timos K. Sellis
, Karl Aberer:
On crowdsensed data acquisition using multi-dimensional point processes. ICDE Workshops 2015: 124-128 - [c12]Sue Ann Chen, Arun Vishwanath, Saket Sathe, Shivkumar Kalyanaraman, Siyuan Lu:
Understanding the performance of solar PV systems using data-driven analytics. ISGT Asia 2015: 1-6 - [c11]Oshini Goonetilleke, Saket Sathe, Timos K. Sellis
Microblogging Queries on Graph Databases: An Introspection. GRADES@SIGMOD/PODS 2015: 5:1-5:6 - 2014
- [j3]Oshini Goonetilleke, Timos K. Sellis
Twitter analytics: a big data management perspective. SIGKDD Explor. 16(1): 11-20 (2014) - [j2]Hoyoung Jeung, Hua Lu
Managing Evolving Uncertainty in Trajectory Databases. IEEE Trans. Knowl. Data Eng. 26(7): 1692-1705 (2014) - [c10]Nguyen Quoc Viet Hung
Towards enabling probabilistic databases for participatory sensing. CollaborateCom 2014: 114-123 - [c9]Saket Sathe, Roie Melamed, Peter Bak, Shivkumar Kalyanaraman:
Enabling Location-Based Services 2.0: Challenges and Opportunities. MDM (1) 2014: 317-320 - 2013
- [b1]Saket Sathe:
Statistical Models for Querying and Managing Time-Series Data. EPFL, Switzerland, 2013 - [j1]Saket Sathe, Arthur Oviedo, Dipanjan Chakraborty, Karl Aberer:
EnviroMeter: A Platform for Querying Community-Sensed Data. Proc. VLDB Endow. 6(12): 1294-1297 (2013) - [c8]Saket Sathe, Karl Aberer:
AFFINITY: Efficiently querying statistical measures on time-series data. ICDE 2013: 841-852 - [p1]Saket Sathe, Thanasis G. Papaioannou
A Survey of Model-based Sensor Data Acquisition and Management. Managing and Mining Sensor Data 2013: 9-50 - 2012
- [c7]Saket Sathe, Sebastian Cartier, Dipanjan Chakraborty, Karl Aberer:
Effectively modeling data from large-area community sensor networks. IPSN 2012: 95-96 - [c6]Sebastian Cartier, Saket Sathe, Dipanjan Chakraborty, Karl Aberer:
ConDense: Managing data in community-driven mobile geosensor networks. SECON 2012: 515-523 - 2011
- [c5]Saket Sathe, Hoyoung Jeung, Karl Aberer:
Creating probabilistic databases from imprecise time-series data. ICDE 2011: 327-338 - 2010
- [c4]Karl Aberer, Saket Sathe, Dipanjan Chakraborty, Alcherio Martinoli
OpenSense: open community driven sensing of environment. GIS-IWGS 2010: 39-42 - [c3]Hoyoung Jeung, Sofiane Sarni, Ioannis K. Paparrizos, Saket Sathe, Karl Aberer, Nicholas Dawes, Thanasis G. Papaioannou
Effective Metadata Management in Federated Sensor Networks. SUTC/UMC 2010: 107-114
2000 – 2009
- 2009
- [c2]Ekaterini Ioannou, Saket Sathe, Nicolas Bonvin, Anshul Jain, Srikanth Bondalapati, Gleb Skobeltsyn, Claudia Niederée, Zoltán Miklós:
Entity Search with NECESSITY. WebDB 2009 - 2006
- [c1]Saket K. Sathe, Uday B. Desai:
Cell Phone Based Microcredit Risk Assessment using Fuzzy Clustering. ICTD 2006: 233-242 - [i1]Saket Sathe:
A Novel Bayesian Classifier using Copula Functions. CoRR abs/cs/0611150 (2006)
Coauthor Index
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