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2014
Tilevich, E., and Y. - W. Kwon, "Cloud-based execution to improve mobile application energy efficiency", Computer, vol. 47, no. 1: IEEE Computer Society, pp. 75–77, 2014.
Luther, K., A. Pavel, W. Wu, J. - L. Tolentino, M. Agrawala, B. Hartmann, and S. P. Dow, "CrowdCrit: crowdsourcing and aggregating visual design critique", CSCW Companion '14: Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work &\#38; social computing, New York, NY, USA, ACM, pp. 21–24, 2014.
Cranshaw, J. B., K. Luther, P. G. Kelley, and N. Sadeh, "Curated city: capturing individual city guides through social curation", CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA, ACM, pp. 3249–3258, 2014.
Zhang, Y., and A. B. Prakash, "DAVA: Distributing Vaccines over Networks under Prior Information", Proceedings of the 2014 {SIAM} International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014, pp. 46–54, 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.
Fox, E. A., M. Akbar, S. H. E. M. Abdelhamid, N. I. Elsherbiny, M. M. G. Farag, F. Jim, J. P. Leidig, and S. T. Neppali, "Digital Libraries", Computing Handbook, Third, vol. 2: Chapman & Hall/CRC Press, Taylor and Francis Group, 2014.
Hafeez, A., M. M. Rafique, and A. R. Butt, "Distributed Detection of Cancer Cells in High-Throughput Cellular Spike Streams", 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Chicago, IL, USA, IEEE, pp. 774 - 783, 2014.
Chen, I. R., F. Bao, M. Chang, and J. H. Cho, "Dynamic Trust Management for Delay Tolerant Networks and Its Application to Secure Routing", IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 5, pp. 1200-1210, 2014.
Laha, B., D. A. Bowman, and J. Socha, "Effects of VR System Fidelity on Analyzing Isosurface Visualization of Volume Datasets", IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 4, pp. 513-522, 2014.
Odibat, O., and C. K. Reddy, "Efficient mining of discriminative co-clusters from gene expression data", Knowledge and Information Systems (KAIS), vol. 41, no. 3: Springer, pp. 667–696, 2014.
Prakash, A. B., J. Vreeken, and C. Faloutsos, "Efficiently spotting the starting points of an epidemic in a large graph", Knowledge and information systems, vol. 38, no. 1: Springer London, pp. 35–59, 2014.
Purohit, M., A. B. Prakash, C. Kang, Y. Zhang, and V. S. Subrahmanian, "Fast influence-based coarsening for large networks", Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining: ACM, pp. 1296–1305, 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.
Casalegno, F., and A. Kavanaugh, "Geo-located Media: Reflections on Hybrid, Physical and Digital Spaces", Electronic Journal of Communication, Special Issue , vol. 24, no. 1 & 2, 2014.
Krish, K. R., A. Anwar, and A. R. Butt, "hatS: A Heterogeneity-Aware Tiered Storage for Hadoop", 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Chicago, IL, USA, IEEE, pp. 502 - 511, 2014.