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    Author information
    First name: Michael
    Last name: O'Neill
    DBLP: 61/6483
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    Conference paper
    Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Michael O'Neill, Erik Hemberg.
    PonyGE2: Grammatical Evolution in Python.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill.
    A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming.
    Genetic Programming - 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Róisín Loughran, Michael O'Neill.
    Clustering Agents for the Evolution of Autonomous Musical Fitness.
    Computational Intelligence in Music, Sound, Art and Design - 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings 2017 (0) 2017
    Conference paper
    David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen, Michael O'Neill.
    Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm.
    Applications of Evolutionary Computation - 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Van Loi Cao, Nhien-An Le-Khac, Miguel Nicolau, Michael O'Neill, James McDermott.
    Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Brendan Cody-Kenny, Michael Fenton, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill.
    A Search for Improved Performance in Regular Expressions.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Alexandros Agapitos, Michael O'Neill, Ahmed Kattan, Simon M. Lucas.
    Recursion in tree-based genetic programming.
    Genetic Programming and Evolvable Machines 2017, Volume 18 (0) 2017
    Conference paper
    Alexandros Agapitos, Anthony Brabazon, Michael O'Neill.
    Regularised gradient boosting for financial time-series modelling.
    Comput. Manag. Science 2017, Volume 14 (0) 2017
    Conference paper
    David Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill.
    Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment.
    2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Rory Murphy, David Fagan, Michael O'Neill.
    Gems: A novel method to accelerate Evolutionary Algorithms.
    2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebastián, Spain, June 5-8, 2017 2017 (0) 2017
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