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  1. Dehghan, A., Kovacevic, A., Karystianis, G., Keane, J. A., & Nenadic, G. (2015). Combining knowledge- and data-driven methods for de-identification of clinical narratives. Journal of Biomedical Informatics, 58(Supplement), S53-S59. DOI: 10.1016/j.jbi.2015.06.029. Publication link: 4bf61a22-35af-41f8-9b2c-33bda9c2e992
  2. Siraj, S., Mikhailov, L., & Keane, J. A. (2015). Contribution of individual judgments toward inconsistency in pairwise comparisons. European Journal of Operational Research, 242(2), 557-567. DOI: 10.1016/j.ejor.2014.10.024, 10.1016/j.ejor.2014.10.024. Publication link: 19163a63-5477-438f-8b30-4b0aea188d3d
  3. Siraj, S., Mikhailov, L., & Keane, J. (2015). PriEsT: an interactive decision support tool to estimate priorities form pairwise comparison judgements; 22:217-235, 2015.International Transactions in Operational Research, 22, 217-235. . Publication link: 1094536a-ff93-4ae5-a318-abf255de6fc3
  4. Keane, J. (2015). A Parallel Distributed Weka Framework for Big Data Mining Using Spark; In host publication. (pp. 9-16). IEEE. . Publication link: 106d52e7-4914-4676-ac03-e494a8c9b11b
  5. Stetco, A., Zeng, X., & Keane, J. (2015). Fuzzy C-means++: Fuzzy C-means with effective seeding initialization. Expert Systems with Applications, 42(21), 7541-7548. DOI: 10.1016/j.eswa.2015.05.014. Publication link: b9ddb6e1-4922-420c-b99b-9be6f4c1aebd
  6. Abel, E., Mikhailov, L., & Keane, J. (2015). Group Aggregation of Pairwise Comparisons using Multi-Objective Optimization. Information Sciences, 322(20), 257-275. DOI: 10.1016/j.ins.2015.05.027. Publication link: dac2204c-3761-4925-992c-0edd1791a3ec
  7. Karystianis, G., Dehghan, A., Kovacevic, A., Keane, J. A., & Nenadic, G. (2015). Using local lexicalized rules to identify heart disease risk factors in clinical notes. Journal of Biomedical Informatics, 58(Supplement), S183-S188. DOI: 10.1016/j.jbi.2015.06.013. Publication link: c8074d16-f3b3-4dfc-aa0d-774c8e135b90
  8. Sun, J., Wang, X., Zhao, L., Cai, Z., & Li, S. (2015). A Systematic Quality Requirements Analysis Approach. Journal of Software. . Publication link: 351b254f-9db8-43d2-8061-0df843562e79
  9. Hang, F., & Zhao, L. (2015). Supporting End-User Service Composition: A Systematic Review of Current Activities and Tools. In Proceedings of the 22nd IEEE International Conference on Web Services. IEEE. . Publication link: 1fddca33-0947-4375-a9d0-b1722a37a33c
  10. Cai, Z., Zhao, L., Wang, X., Yang, X., Qin, J., & Yin, K. (2015). A Pattern-Based Code Transformation Approach for Cloud Application Migration. In Proc. 8th International Conference on Cloud Computing (CLOUD 2015). IEEE. . Publication link: dff7eed3-a239-4378-850b-a471fd062132
  11. Supakkul, S., Leite, J. P., Zhao, L., & Chung, L. (2015). Introduction to Workshop on Requirements Patterns. In Proceedings of 5th International Workshop on Requirements Patterns (RePa 2015).. Publication link: dc5ed617-0f2c-44bb-aa62-397115b7de09
  12. Cola, S. D., Tran, C., Lau, K-K., Celesti, A., & Fazio, M. (2015). A Heterogeneous Approach for Developing Applications with FIWARE GEs. In Proceedings of the Fourth European Conference on Service Oriented and Cloud Computing. (pp. 65-79). Springer Verlag. . Publication link: 32aaf46e-fd4b-477f-8db9-a4d626e2f5fe
  13. Cola, S. D., Lau, K-K., Tran, C., & Qian, C. (2015). An MDE Tool for Defining Software Product Families with Explicit Variation Points. In Proceedings of the 19th International Conference on Software Product Line. (pp. 355-360). ACM. . Publication link: 3073ed6b-e4db-4003-ad15-45ce228361ec
  14. Lau, K-K., & Cola, S. D. (2015). (Reference) Architecture = Components + Composition (+ Variation Points)? In host publication. (pp. 1-4). ACM. . Publication link: 4ebf4c5c-bd29-45e1-8c03-318af5601a38
  15. Cola, S. D., Lau, K-K., & Tran, C. (2015). A Graphical Tool for Model-Driven Development Using Components and Services. In Proceedings of the Forty-first EUROMICRO Conference on Software Engineering and Advanced Applications. (pp. 181-182). IEEE. . Publication link: f8a26583-9c5b-45e7-9ed1-a7fbe268086b
  16. Yamazaki, I., Tomov, S., & Dongarra, J. (2015). Computing Low-Rank Approximation of a Dense Matrix on Multicore CPUs with a GPU and Its Application to Solving a Hierarchically Semiseparable Linear System of Equations. Scientific Programming, 2015, [246019]. DOI: 10.1155/2015/246019. Publication link: 2cc1a1b9-1738-436f-9a19-2015e62391e9
  17. Faverge, M., Herrmann, J., Langou, J., Lowery, B., Robert, Y., & Dongarra, J. (2015). Mixing LU and QR factorization algorithms to design high-performance dense linear algebra solvers. Journal of Parallel and Distributed Computing, 85, 33-46. DOI: 10.1016/j.jpdc.2015.06.007. Publication link: 3901dc0e-4ae0-4a67-a637-5e45ddcd0fe5
  18. Reed, D. A., & Dongarra, J. (2015). Exascale computing and big data. Communications of the ACM, 58(7), 56-68. DOI: 10.1145/2699414. Publication link: 3a032989-d9ff-4058-9be4-ea07bf5b16ac
  19. Haidar, A., Dong, T., Luszczek, P., Tomov, S., & Dongarra, J. (2015). Batched matrix computations on hardware accelerators based on GPUs. International Journal of High Performance Computing Applications, 29(2), 193-208. DOI: 10.1177/1094342014567546. Publication link: 3b928883-2575-424b-9c5c-93c76c117dd7
  20. Bosilca, G., Bouteiller, A., Herault, T., Robert, Y., & Dongarra, J. (2015). Composing resilience techniques: ABFT, periodic and incremental checkpointing. International Journal of Networking and Computing, 5(1), 2-25. . Publication link: 0e942f3a-fd66-49bc-b9e4-4ca12d2c1be1
  21. Yamazaki, I., Tomov, S., & Dongarra, J. (2015). Mixed-precision cholesky QR factorization and its case studies on multicore CPU with multiple GPUs. SIAM Journal on Scientific Computing, 37(3), C307-C330. DOI: 10.1137/14M0973773. Publication link: 10544211-4a6c-4b54-a846-4864b8cc3436
  22. Reed, D. A., & Dongarra, J. (2015). Scientific discovery and engineering innovation requires unifying traditionally separated high performance computing and big data analytics.Communications of the ACM, 58(7). . Publication link: 628b748f-1a3b-40c8-beea-cc3aa4d9ef69
  23. Herrmann, J., Bosilca, G., Hérault, T., Marchal, L., Robert, Y., & Dongarra, J. (2015). Assessing the cost of redistribution followed by a computational kernel: Complexity and performance results. Parallel Computing, 52, 22-41. DOI: 10.1016/j.parco.2015.09.005. Publication link: 96803956-02de-4295-abec-2a4d54d5cc1c
  24. Anzt, H., Tomov, S., Luszczek, P., Sawyer, W., & Dongarra, J. (2015). Acceleration of GPU-based Krylov solvers via data transfer reduction. International Journal of High Performance Computing Applications, 29(3), 366-383. DOI: 10.1177/1094342015580139. Publication link: 82369bb9-0b0f-43fd-9524-0be8273176de
  25. Dongarra, J., Gates, M., Haidar, A., Jia, Y., Kabir, K., Luszczek, P., & Tomov, S. (2015). HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi. Scientific Programming, 2015, [502593]. DOI: 10.1155/2015/502593. Publication link: cb9f106e-b2cf-49d0-b208-e166cf365592
  26. Strohmaier, E., Meuer, H. W., Dongarra, J., & Simon, H. D. (2015). The TOP500 List and Progress in High-Performance Computing. Computer 48 11 (pp. 42-49).DOI: 10.1109/MC.2015.338. Publication link: cda48dc1-e3df-4daf-99af-f1d4a78b6139
  27. Anzt, H., Haugen, B., Kurzak, J., Luszczek, P., & Dongarra, J. (2015). Experiences in autotuning matrix multiplication for energy minimization on GPUs. Concurrency and Computation: Practice & Experience, 27(17), 5096-5113. DOI: 10.1002/cpe.3516. Publication link: c2576571-34c9-4ea1-a8ea-4b574fd19fe3
  28. Bouteiller, A., Herault, T., Bosilca, G., Du, P., & Dongarra, J. (2015). Algorithm-based Fault Tolerance for Dense Matrix Factorizations, Multiple Failures and Accuracy. ACM Transactions on Parallel Computing, 1(2). DOI: 10.1145/2686892. Publication link: f87e5110-782e-495c-a941-d16d82da0dc9
  29. Abalenkovs, M., Abdelfattah, A., Dongarra, J., Gates, M., Haidar, A., Kurzak, J., ... YarKhan, A. (2015). Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems. Supercomputing Frontiers and Innovations, 2(4), 67-86. DOI: 10.14529/jsfi150405. Publication link: f667513c-c90d-47d2-a466-bc5302d6227b
  30. Donfack, S., Dongarra, J., Faverge, M., Gates, M., Kurzak, J., Luszczek, P., & Yamazaki, I. (2015). A survey of recent developments in parallel implementations of Gaussian elimination. Concurrency and Computation: Practice & Experience, 27(5), 1292-1309. DOI: 10.1002/cpe.3306. Publication link: ffad6dd4-85e1-4742-b818-c09bc4e119d2
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