Biblio

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2015
Shu, X., D. D. Yao, and N. Ramakrishnan, "Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths", 22nd ACM SIGSAC Conference on Computer and Communications Security (CCS), Denver, Colorado, ACM, 10/2015.
2014
Ramakrishnan, N., P. Butler, S. Muthiah, and et al, "Beating the News’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators", Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM KDD 2014), New York City, NY, pp. 1799-1808, 8/2014.
Jin, F., W. Wang, L. Zhao, E. Dougherty, Y. Cao, C. - T. Lu, and N. Ramakrishnan, "Misinformation Propagation in the Age of Twitter", COMPUTER, vol. 47, no. 12, {10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA}, {IEEE COMPUTER SOC}, pp. 90-94, 12/2014. Abstract
Zhang, H., D. D. Yao, and N. Ramakrishnan, "Detection of Stealthy Malware Activities with Traffic Causality and Scalable Triggering Relation Discovery", he 9th ACM Symposium on Information, Computer and Communications Security (ASIACCS), Kyoto, Japan, 06/2014.
Hossain, S. M., M. Marwah, A. Shah, L. T. Watson, and N. Ramakrishnan, "AutoLCA: A Framework for Sustainable Redesign and Assessment of Products", ACM Trans. Intell. Syst. Technol., vol. 5, no. 2, New York, NY, USA, ACM, pp. 34:1–34:21, 2014.
Ramakrishnan, N., P. Butler, S. Muthiah, N. Self, R. Khandpur, P. Saraf, W. Wang, J. Cadena, A. Vullikanti, G. Korkmaz, et al., "'Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators", Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA, ACM, pp. 1799–1808, 2014.
Momtazpour, M., P. Butler, N. Ramakrishnan, S. M. Hossain, M. C. Bozchalui, and R. Sharma, "Charging and Storage Infrastructure Design for Electric Vehicles", ACM Trans. Intell. Syst. Technol., vol. 5, no. 3, New York, NY, USA, ACM, pp. 42:1–42:27, 2014.
Keneshloo, Y., J. Cadena, G. Korkmaz, and N. Ramakrishnan, "Detecting and Forecasting Domestic Political Crises: A Graph-based Approach", Proceedings of the 2014 ACM Conference on Web Science, New York, NY, USA, ACM, pp. 192–196, 2014.
Zhang, H., D. D. Yao, and N. Ramakrishnan, "Detection of Stealthy Malware Activities with Traffic Causality and Scalable Triggering Relation Discovery", Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security, New York, NY, USA, ACM, pp. 39–50, 2014.
Sun, M., C. North, and N. Ramakrishnan, "A Five-Level Design Framework for Bicluster Visualizations", {IEEE} Trans. Vis. Comput. Graph., vol. 20, no. 12, pp. 1713–1722, 2014.
Chen, L., T. K. S. M. Hossain, P. Butler, N. Ramakrishnan, and A. B. Prakash, "Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models", 2014 {IEEE} International Conference on Data Mining, {ICDM} 2014, Shenzhen, China, December 14-17, 2014, pp. 755–760, 2014.
Chen, L., K. S. M. T. Hossain, P. Butler, N. Ramakrishnan, and A. B. Prakash, "Flu Gone Viral: Syndromic Surveillance of Flu on Twitter using Temporal Topic Models", 2014 {IEEE} International Conference on Data Mining, {ICDM} 2014, Shenzhen, China, December 14-17, 2014, pp. 755–760, 2014.
Chakraborty, P., P. Khadivi, B. Lewis, A. Mahendiran, J. Chen, P. Butler, E. O. Nsoesie, S. R. Mekaru, J. S. Brownstein, M. V. Marathe, et al., "Forecasting a Moving Target: Ensemble Models for {ILI} Case Count Predictions", Proceedings of the 2014 {SIAM} International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014, pp. 262–270, 2014.
Endert, A., S. M. Hossain, N. Ramakrishnan, C. North, P. Fiaux, and C. Andrews, "The Human is the Loop: New Directions for Visual Analytics", J. Intell. Inf. Syst., vol. 43, no. 3, Hingham, MA, USA, Kluwer Academic Publishers, pp. 411–435, 2014.
Jin, F., R. P. Khandpur, N. Self, E. Dougherty, S. Guo, F. Chen, A. B. Prakash, and N. Ramakrishnan, "Modeling Mass Protest Adoption in Social Network Communities Using Geometric Brownian Motion", Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA, ACM, pp. 1660–1669, 2014.
Jin, F., R. P. Khandpur, N. Self, E. Dougherty, S. Guo, F. Chen, A. B. Prakash, and N. Ramakrishnan, "Modeling mass protest adoption in social network communities using geometric brownian motion", Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining: ACM, pp. 1660–1669, 2014.
Wang, J., J. Zhao, S. Guo, C. North, and N. Ramakrishnan, "ReCloud: Semantics-based Word Cloud Visualization of User Reviews", Proceedings of the 2014 Graphics Interface Conference, Toronto, Ont., Canada, Canada, Canadian Information Processing Society, pp. 151–158, 2014.
Sun, M., L. Bradel, C. L. North, and N. Ramakrishnan, "The Role of Interactive Biclusters in Sensemaking", Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems, New York, NY, USA, ACM, pp. 1559–1562, 2014.
Saraf, P., P. Butler, and N. Ramakrishnan, "Safeguarding abila through multiple data perspectives {VAST} 2014 Grand Challenge award: Effective analysis and presentation", 2014 {IEEE} Conference on Visual Analytics Science and Technology, {VAST} 2014, Paris, France, October 25-31, 2014, pp. 307–308, 2014.
Saraf, P., P. Butler, and N. Ramakrishnan, "Safeguarding Abila: Discovering evolving activist networks {VAST} 2014 mini challenge 1: Unstructured text and network data analysis", 2014 {IEEE} Conference on Visual Analytics Science and Technology, {VAST} 2014, Paris, France, October 25-31, 2014, pp. 327–328, 2014.
Butler, P., P. Saraf, and N. Ramakrishnan, "Safeguarding Abila: Real-time streaming analysis {VAST} 2014 Mini Challenge 3: Streaming text analysis", 2014 {IEEE} Conference on Visual Analytics Science and Technology, {VAST} 2014, Paris, France, October 25-31, 2014, pp. 385–386, 2014.