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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.
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.
Eid, F. E., H. Elmarakeby, L. Heath, and M. Elhefnawi, "Human MicroRNAs Targeting Hepatitis C Virus", Middle East Conference on Biomedical Engineering (MECBME), pp. 184-187, 2014.
Badr, E., and L. S. Heath, "Identifying Splicing Regulatory Elements with de Bruijn Graphs", Journal of Computational Biology, vol. 21, pp. 880-897, 2014.
Porter, J., M. -an Sun, H. Xie, and L. Zhang, "Improving bisulfite short-read mapping efficiency with hairpin-bisulfite data", Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on: IEEE, pp. 1–2, 2014.
Edstrom, J., and E. Tilevich, "Improving the survivability of RESTful Web applications via declarative fault tolerance", Concurrency and Computation: Practice and Experience: Wiley Online Library, 2014.
Ramesh, A., D. Goldwasser, B. Huang, H. Daume III, and L. Getoor, "Learning Latent Engagement Patterns of Students in Online Courses", Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence: AAAI Press, 2014.