| 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 | 906 | 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 | 233 | 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 | 210 | 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 | 104 | 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 | 60 | 2014 |
| 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 | 43 | 2020 |
| 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 | 43 | 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 | 41 | 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 | 36 | 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 | 32 | 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 | 29 | 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 | 25 | 2017 |
| 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 | 24 | 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 | 21 | 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 | 20 | 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 | 19 | 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 | 19 | 2010 |
| 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 | 18 | 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 | 14 | 2018 |
| Unsupervised spatio-temporal data mining framework for burned area mapping S Boriah, V Kumar, V Mithal, A Khandelwal US Patent 9,478,038, 2016 | 14 | 2016 |
Vipin KumarUniversity of MinnesotaVerified email at umn.edu
