Session 1

• 
  Rajarshi Mallik, Hillol Kargupta: A Sustainable Approach for Demand Prediction in Smart Grids using a Distributed Local Asynchronous Algorithm. 1-15
• 
  Anne Kao, Steve Poteet, David Augustine: P-MATCH and QUBIT - Methods for Extracting Critical Information from Free Text Data for Systems Health Management. 16-29
• 
  Jaya Kawale, Stefan Liess, Arjun Kumar, Michael Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar: Data Guided Discovery of Dynamic Climate Dipoles. 30-44

Session 2

• 
  Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael Steinbach, Christopher Potter, Steven A. Klooster: Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. 45-59
• 
  Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza: Pseudo-Label Generation for Multi-Label Text Classification. 60-75
• 
  Maxime Gariel, Kevin Spieser, Emilio Frazzoli: On the Statistics and Predictability of Go-Arounds. 75-91

Session 3

• 
  Zubin Abraham, Pang-Ning Tan, Fan Xin: Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling. 92-106
• 
  Dimitrios Giannakis, Andrew J. Majda: Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model. 107-117
• 
  David Thompson, Walid Majid, Kiri Wagstaff, Colorado Reed: Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients. 118-128

Session 4

• 
  Dunke Zhou, Tao Shi: Statistical Inference Based on Distances Between Empirical Distributions with Applications to AIRSLevel-3 Data. 129-143
• 
  Ashish Garg, Lydia Manikonda, Shashank Kumar, Vikrant Krishna, Shyam Boriah, Michael Steinbach, Durga Toshnival, Vipin Kumar, Christopher Potter, Steven A. Klooster: A Model-Free Time Series Segmentation Approach for Land Cover Change Detection. 144-158
• 
  Laurent El Ghanoui, Guan-Cheng Li, Viet-An Duong, Vu Pham, Ashok N. Srivastava, Kanishka Bhaduri: Sparse Machine Learning Methods for Understanding Large Text Corpora. 159-173
• 
  S. George Djorgovski, Ciro Donalek, Ashish Mahabal, Baback Moghaddam, Mike Turmon, Matthew J. Graham, Andrew J. Drake, Nihar Sharma, Yutong Chen: Towards an Automated Classification of Transient Events in Synoptic Sky Surveys. 174-188

Session 5

• 
  Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael Steinbach, Vipin Kumar: Anomaly Construction in Climate Data: Issues and Challenges. 189-203
• 
  Duo Zhang, ChengXiang Zhai, Jiawei Han: MiTexCube: MicroTextCluster Cube for Online Analysis of Text Cells. 204-218
• 
  Linkan Bian, Nagi Gebraeel: A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles. 219-231

Session 6

• 
  Kamalika Das, Ashok N. Srivastava: Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery. 233-247
• 
  Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah: A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. 248-262
• 
  Ganeshchandra Mallya, Shivam Tripathi, Rao S. Govindaraju: A Machine Learning Approach for Probabilistic Drough Classification. 263-275

Poster Abstracts

last updated on Thu May 23 03:09:37 2013 by the dblp team
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