Varun Mithal
Varun Mithal
Vahvistettu sähköpostiosoite verkkotunnuksessa
An attentive survey of attention models
S Chaudhari, V Mithal, G Polatkan, R Ramanath
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (5), 1-32, 2021
Comparative evaluation of anomaly detection techniques for sequence data
V Chandola, V Mithal, V Kumar
2008 Eighth IEEE international conference on data mining, 743-748, 2008
Explainable AI in industry
K Gade, SC Geyik, K Kenthapadi, V Mithal, A Taly
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Global monitoring of inland water dynamics: State-of-the-art, challenges, and opportunities
A Karpatne, A Khandelwal, X Chen, V Mithal, J Faghmous, V Kumar
Computational sustainability, 121-147, 2016
Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques
AR Ganguly, EA Kodra, A Agrawal, A Banerjee, S Boriah, S Chatterjee, ...
Nonlinear Processes in Geophysics 21 (4), 777-795, 2014
Mapping burned areas in tropical forests using a novel machine learning framework
V Mithal, G Nayak, A Khandelwal, V Kumar, R Nemani, NC Oza
Remote Sensing 10 (1), 69, 2018
Monitoring global forest cover using data mining
V Mithal, A Garg, S Boriah, M Steinbach, V Kumar, C Potter, S Klooster, ...
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (4), 1-24, 2011
Eddyscan: A physically consistent ocean eddy monitoring application
JH Faghmous, L Styles, V Mithal, S Boriah, S Liess, V Kumar, F Vikebø, ...
2012 Conference on Intelligent Data Understanding, 96-103, 2012
Post classification label refinement using implicit ordering constraint among data instances
A Khandelwal, V Mithal, V Kumar
2015 IEEE International Conference on Data Mining, 799-804, 2015
Terrestrial ecosystem carbon fluxes predicted from MODIS satellite data and large-scale disturbance modeling
C Potter, S Klooster, V Genovese, C Hiatt, S Boriah, V Kumar, V Mithal, ...
International Journal of Geosciences 3 (3), 2012
Rapt: Rare class prediction in absence of true labels
V Mithal, G Nayak, A Khandelwal, V Kumar, NC Oza, R Nemani
IEEE Transactions on Knowledge and Data Engineering 29 (11), 2484-2497, 2017
Explainable AI in industry: Practical challenges and lessons learned
K Gade, S Geyik, K Kenthapadi, V Mithal, A Taly
Companion Proceedings of the Web Conference 2020, 303-304, 2020
Multiple hypothesis object tracking for unsupervised self-learning: An ocean eddy tracking application
J Faghmous, M Uluyol, L Styles, M Le, V Mithal, S Boriah, V Kumar
Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 1277-1283, 2013
Incorporating natural variation into time series-based land cover change identification
V Mithal, A Garg, I Brugere, S Boriah, V Kumar, M Steinbach, C Potter, ...
CIDU’11: Proceedings of the 2011 NASA Conference on Intelligent Data …, 2011
A novel time series based approach to detect gradual vegetation changes in forests
Y Chamber, A Garg, V Mithal, I Brugere, M Lau, V Krishna, S Boriah, ...
NASA Conference on Intelligent Data Understanding, CIDU 2011, 248-262, 2011
Automated mapping of land cover using sequences of aerial imagery
S Boriah, A Khandelwal, V Kumar, V Mithal, K Steinhaeuser
US Patent 8,958,603, 2015
A Comparative Study Of Algorithms For Land Cover Change.
S Boriah, V Mithal, A Garg, V Kumar, MS Steinbach, C Potter, SA Klooster
CIDU, 175-188, 2010
Change detection from temporal sequences of class labels: Application to land cover change mapping
V Mithal, A Khandelwal, S Boriah, K Steinhaeuser, V Kumar
Proceedings of the 2013 SIAM International Conference on Data Mining, 650-658, 2013
A new data mining framework for forest fire mapping
XC Chen, A Karpatne, Y Chamber, V Mithal, M Lau, K Steinhaeuser, ...
2012 Conference on Intelligent Data Understanding, 104-111, 2012
Classifying multivariate time series by learning sequence-level discriminative patterns
G Nayak, V Mithal, X Jia, V Kumar
Proceedings of the 2018 SIAM International Conference on Data Mining, 252-260, 2018
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Artikkelit 1–20