@inproceedings{1bf9dba9b73745968c369de31b2d6cf4,
title = "Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics",
abstract = "Freshwater, which is only available in inland water bodies such as lakes, reservoirs, and rivers, is increasingly becoming scarce across the world and this scarcity is posing a global threat to human sustainability. A global monitoring of inland water bodies is necessary for policy-makers and the scientific community to address this problem. The promise of data-driven approaches coupled with availability of remote sensing data presents opportunities as well as challenges for global monitoring. My research aims at developing predictive models that address the challenges in analyzing remote sensing data for creating the first global monitoring system of inland water dynamics.",
keywords = "Remote sensing, classification, ensemble learning, local learning",
author = "Anuj Karpatne and Vipin Kumar",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 ; Conference date: 14-11-2015 Through 17-11-2015",
year = "2016",
month = jan,
day = "29",
doi = "10.1109/ICDMW.2015.217",
language = "English (US)",
series = "Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1530--1531",
editor = "Xindong Wu and Alexander Tuzhilin and Hui Xiong and Dy, {Jennifer G.} and Charu Aggarwal and Zhi-Hua Zhou and Peng Cui",
booktitle = "Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015",
}