Cell Phone Based Microcredit Risk Assessment using Fuzzy Clustering. - Saket K. Sathe 001; Uday B. Desai (ICTD, 2006)

A Novel Bayesian Classifier using Copula Functions - Saket Sathe 001 (CoRR, 2006)

Entity Search with NECESSITY. - Ekaterini Ioannou; Saket Sathe 001; Nicolas Bonvin; Anshul Jain; Srikanth Bondalapati; Gleb Skobeltsyn; Claudia Niederée; Zoltán Miklós 001 (WebDB, 2009)

OpenSense: open community driven sensing of environment. - Karl Aberer; Saket Sathe 001; Dipanjan Chakraborty 001; Alcherio Martinoli; Guillermo Barrenetxea; Boi Faltings; Lothar Thiele (GIS-IWGS, 2010)

Effective Metadata Management in Federated Sensor Networks. - Hoyoung Jeung; Sofiane Sarni; Ioannis K. Paparrizos; Saket Sathe 001; Karl Aberer; Nicholas Dawes; Thanasis G. Papaioannou; Michael Lehning (SUTC/UMC, 2010)

Creating probabilistic databases from imprecise time-series data. - Saket Sathe 001; Hoyoung Jeung; Karl Aberer (ICDE, 2011)

Effectively modeling data from large-area community sensor networks. - Saket Sathe 001; Sebastian Cartier; Dipanjan Chakraborty 001; Karl Aberer (IPSN, 2012)

ConDense: Managing data in community-driven mobile geosensor networks. - Sebastian Cartier; Saket Sathe 001; Dipanjan Chakraborty 001; Karl Aberer (SECON, 2012)

A Survey of Model-based Sensor Data Acquisition and Management. - Saket Sathe 001; Thanasis G. Papaioannou; Hoyoung Jeung; Karl Aberer (Managing and Mining Sensor Data, 2013)

AFFINITY: Efficiently querying statistical measures on time-series data. - Saket Sathe 001; Karl Aberer (ICDE, 2013)

EnviroMeter: A Platform for Querying Community-Sensed Data. - Saket Sathe 001; Arthur Oviedo; Dipanjan Chakraborty 001; Karl Aberer (Proc. VLDB Endow., 2013)

Statistical Models for Querying and Managing Time-Series Data. - Saket Sathe 001 (2013)

Towards enabling probabilistic databases for participatory sensing. - Nguyen Quoc Viet Hung; Saket Sathe 001; Chi Thang Duong; Karl Aberer (CollaborateCom, 2014)

Enabling Location-Based Services 2.0: Challenges and Opportunities. - Saket Sathe 001; Roie Melamed; Peter Bak; Shivkumar Kalyanaraman (MDM (1), 2014)

Twitter analytics: a big data management perspective. - Oshini Goonetilleke; Timos K. Sellis; Xiuzhen Zhang 001; Saket Sathe 001 (SIGKDD Explor., 2014)

Managing Evolving Uncertainty in Trajectory Databases. - Hoyoung Jeung; Hua Lu 001; Saket Sathe 001; Man Lung Yiu (IEEE Trans. Knowl. Data Eng., 2014)

Fast Distributed Correlation Discovery Over Streaming Time-Series Data. - Tian Guo 002; Saket Sathe 001; Karl Aberer (CIKM, 2015)

On crowdsensed data acquisition using multi-dimensional point processes. - Saket Sathe 001; Timos K. Sellis; Karl Aberer (ICDE Workshops, 2015)

Understanding the performance of solar PV systems using data-driven analytics. - Sue Ann Chen; Arun Vishwanath; Saket Sathe 001; Shivkumar Kalyanaraman; Siyuan Lu (ISGT Asia, 2015)

Microblogging Queries on Graph Databases: An Introspection. - Oshini Goonetilleke; Saket Sathe 001; Timos K. Sellis; Xiuzhen Zhang 001 (GRADES@SIGMOD/PODS, 2015)

Theoretical Foundations and Algorithms for Outlier Ensembles. - Charu C. Aggarwal; Saket Sathe 001 (SIGKDD Explor., 2015)

Shedding Light on the Performance of Solar Panels: A Data-Driven View. - Sue Ann Chen; Arun Vishwanath; Saket Sathe 001; Shivkumar Kalyanaraman (SIGKDD Explor., 2015)

A Novel Method for Assessing Event Impacts on Event-Driven Time Series. - Lianhua Chi; Saket Sathe 001; Bo Han 002; Yun Wang (ICDM Workshops, 2016)

Subspace Outlier Detection in Linear Time with Randomized Hashing. - Saket Sathe 001; Charu C. Aggarwal (ICDM, 2016)

Kernelized Matrix Factorization for Collaborative Filtering. - Xinyue Liu 003; Charu C. Aggarwal; Yufeng Li 008; Xiangnan Kong; Xinyuan Sun; Saket Sathe 001 (SDM, 2016)

LODES: Local Density Meets Spectral Outlier Detection. - Saket Sathe 001; Charu C. Aggarwal (SDM, 2016)

Outlier Ensembles - An Introduction - Charu C. Aggarwal; Saket Sathe 001 (Springer, 2017)

Kernel-Based Feature Extraction for Collaborative Filtering. - Saket Sathe 001; Charu C. Aggarwal; Xiangnan Kong; Xinyue Liu 003 (ICDM, 2017)

Data-driven characterisation of solar PV panel performance. - Sue Ann Chen; Arun Vishwanath; Saket Sathe 001 (ISGT Europe, 2017)

Similarity Forests. - Saket Sathe 001; Charu C. Aggarwal (KDD, 2017)

Outlier Detection with Autoencoder Ensembles. - Jinghui Chen; Saket Sathe 001; Charu C. Aggarwal; Deepak S. Turaga (SDM, 2017)

Subspace histograms for outlier detection in linear time. - Saket Sathe 001; Charu C. Aggarwal (Knowl. Inf. Syst., 2018)

Improving Spectral Clustering with Deep Embedding and Cluster Estimation. - Liang Duan; Charu C. Aggarwal; Shuai Ma 001; Saket Sathe 001 (ICDM, 2019)

Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines. - Saket Sathe 001; Charu C. Aggarwal (ICDM, 2019)

Gene Expression and Protein Function: A Survey of Deep Learning Methods. - Saket Sathe 001; Sayani Aggarwal; Jiliang Tang (SIGKDD Explor., 2019)

Improving spectral clustering with deep embedding, cluster estimation and metric learning. - Liang Duan; Shuai Ma 001; Charu Aggarwal 001; Saket Sathe 001 (Knowl. Inf. Syst., 2021)

Feature-Engineered Random Forests. - Saket Sathe 001; Charu Aggarwal 001; Horst Samulowitz; Deepak S. Turaga (SDM, 2024)

SUPERMERGE: An Approach For Gradient-Based Model Merging. - Haoyu Yang; Zheng Zhang; Saket Sathe 001 (CoRR, 2024)

Low-shot Image Classification Using Mixture of Experts. - Zheng Zhang; Saket Sathe 001 (ICASSP, 2025)