| Evolving levels for super mario bros using grammatical evolution N Shaker, M Nicolau, GN Yannakakis, J Togelius, M O'neill 2012 IEEE Conference on Computational Intelligence and Games (CIG), 304-311, 2012 | 215* | 2012 |
| Learning neural representations for network anomaly detection M Nicolau, J McDermott IEEE transactions on cybernetics 49 (8), 3074-3087, 2018 | 174 | 2018 |
| A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection VL Cao, M Nicolau, J McDermott International Conference on Parallel Problem Solving from Nature, 717-726, 2016 | 141 | 2016 |
| Evolving behaviour trees for the mario ai competition using grammatical evolution D Perez, M Nicolau, M O’Neill, A Brabazon European Conference on the Applications of Evolutionary Computation, 123-132, 2011 | 122 | 2011 |
| Evolutionary behavior tree approaches for navigating platform games M Nicolau, D Perez-Liebana, M O’Neill, A Brabazon IEEE Transactions on Computational Intelligence and AI in Games 9 (3), 227-238, 2016 | 81 | 2016 |
| πGrammatical Evolution M O’Neill, A Brabazon, M Nicolau, SM Garraghy, P Keenan Genetic and Evolutionary Computation–GECCO 2004: Genetic and Evolutionary …, 2004 | 73 | 2004 |
| A grammar design pattern for arbitrary program synthesis problems in genetic programming S Forstenlechner, D Fagan, M Nicolau, M O’Neill Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017 | 67 | 2017 |
| Genetic algorithms using grammatical evolution C Ryan, M Nicolau, M O’Neill Genetic Programming: 5th European Conference, EuroGP 2002 Kinsale, Ireland …, 2002 | 64 | 2002 |
| Evolving genes to balance a pole M Nicolau, M Schoenauer, W Banzhaf European Conference on Genetic Programming, 196-207, 2010 | 59 | 2010 |
| One-class classification for anomaly detection with kernel density estimation and genetic programming VL Cao, M Nicolau, J McDermott Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal …, 2016 | 51 | 2016 |
| Understanding grammatical evolution: initialisation M Nicolau Genetic Programming and Evolvable Machines 18 (4), 467-507, 2017 | 43 | 2017 |
| Choosing function sets with better generalisation performance for symbolic regression models M Nicolau, A Agapitos Genetic programming and evolvable machines 22 (1), 73-100, 2021 | 38 | 2021 |
| Extending program synthesis grammars for grammar-guided genetic programming S Forstenlechner, D Fagan, M Nicolau, M O’Neill Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018 | 38 | 2018 |
| Understanding grammatical evolution: Grammar design M Nicolau, A Agapitos Handbook of grammatical evolution, 23-53, 2018 | 36 | 2018 |
| Guidelines for defining benchmark problems in genetic programming M Nicolau, A Agapitos, M O'Neill, A Brabazon 2015 IEEE Congress on Evolutionary Computation (CEC), 1152-1159, 2015 | 35 | 2015 |
| Solving sudoku with the gAuGE system M Nicolau, C Ryan European Conference on Genetic Programming, 213-224, 2006 | 34 | 2006 |
| A survey of statistical machine learning elements in genetic programming A Agapitos, R Loughran, M Nicolau, S Lucas, M O’Neill, A Brabazon IEEE Transactions on Evolutionary Computation 23 (6), 1029-1048, 2019 | 33 | 2019 |
| Introducing grammar based extensions for grammatical evolution M Nicolau, I Dempsey 2006 IEEE International Conference on Evolutionary Computation, 648-655, 2006 | 33 | 2006 |
| Grammar defined introns: An investigation into grammars, introns, and bias in grammatical evolution M O'Neill, C Ryan, M Nicolau Spector, L., et al.(eds.). GECCO-2001: Proceedings of the Genetic and …, 2001 | 33 | 2001 |
| Experiments in program synthesis with grammatical evolution: A focus on integer sorting M O'Neill, M Nicolau, A Agapitos 2014 IEEE Congress on Evolutionary Computation (CEC), 1504-1511, 2014 | 31 | 2014 |
Michael O'NeillFull Professor of Business Analytics, University College DublinVerified email at ucd.ie
