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Blind optimisation problem instance classification via enhanced universal similarity metric.

I. Contreras, I. Arnaldo, N. Krasnogor, and J. Hidalgo. Memetic Computing, 6 (4): 263-276 (2014)

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The Holy Grail of "Systems for Machine Learning": Teaming humans and machine learning for detecting cyber threats.I. Arnaldo, and K. Veeramachaneni. SIGKDD Explorations, 21 (2): 39-47 (2019)Blind optimisation problem instance classification via enhanced universal similarity metric.I. Contreras, I. Arnaldo, N. Krasnogor, and J. Hidalgo. Memetic Computing, 6 (4): 263-276 (2014)Matching island topologies to problem structure in parallel evolutionary algorithms.I. Arnaldo, I. Contreras, D. Millán-Ruiz, J. Hidalgo, and N. Krasnogor. Soft Comput., 17 (7): 1209-1225 (2013)Fast and scalable temperature-driven floorplan design in 3D MPSoCs.I. Arnaldo, A. Vincenzi, J. Ayala, J. Risco-Martín, J. Hidalgo, M. Ruggiero, and D. Atienza. LATW, page 1-6. IEEE Computer Society, (2012)Building Predictive Models via Feature Synthesis.I. Arnaldo, U. O'Reilly, and K. Veeramachaneni. GECCO, page 983-990. ACM, (2015)Multiple regression genetic programming.I. Arnaldo, K. Krawiec, and U. O'Reilly. GECCO, page 879-886. ACM, (2014)FlexGP - Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems.K. Veeramachaneni, I. Arnaldo, O. Derby, and U. O'Reilly. J. Grid Comput., 13 (3): 391-407 (2015)eX2: a framework for interactive anomaly detection.I. Arnaldo, K. Veeramachaneni, and M. Lam. IUI Workshops, volume 2327 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Learning Representations for Log Data in Cybersecurity.I. Arnaldo, A. Cuesta-Infante, A. Arun, M. Lam, C. Bassias, and K. Veeramachaneni. CSCML, volume 10332 of Lecture Notes in Computer Science, page 250-268. Springer, (2017)Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning.I. Arnaldo, K. Veeramachaneni, A. Song, and U. O'Reilly. IEEE Comput. Intell. Mag., 10 (1): 20-32 (2015)

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Blind optimisation problem instance classification via enhanced universal similarity metric.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Blind optimisation problem instance classification via enhanced universal similarity metric.

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Blind optimisation problem instance classification via enhanced universal similarity metric.