Miguel Nicolau

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Michael O'NeillFull Professor of Business Analytics, University College DublinDirección de correo verificada de ucd.ie
Conor RyanUniversity of LimerickDirección de correo verificada de ul.ie
Diego Perez-LiebanaQueen Mary University of LondonDirección de correo verificada de qmul.ac.uk
Marc SchoenauerSenior Researcher, INRIADirección de correo verificada de inria.fr
Erik HembergResearch Scientist, MIT CSAILDirección de correo verificada de csail.mit.edu
Noor ShakerAssistant Prof., Aalborg University CopenhagenDirección de correo verificada de create.aau.dk
Georgios N. YannakakisProfessor, Director, Inst. of Digital Games, University of Malta | modl.aiDirección de correo verificada de um.edu.mt
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiDirección de correo verificada de nyu.edu
John Mark Swafford, PhDJava DeveloperDirección de correo verificada de ucdconnect.ie
Peter KeenanUniversity College DublinDirección de correo verificada de ucd.ie
Wolfgang BanzhafKoza Chair in Genetic Programming, Michigan State University, USADirección de correo verificada de msu.edu
Matthew SaundersTrinity College DublinDirección de correo verificada de tcd.ie
Edgar GalvanSenior Researcher of Computer Science at National University of Ireland MaynoothDirección de correo verificada de nuim.ie
Jonathan ByrneResearch Scientist, University College DublinDirección de correo verificada de ucd.ie

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Miguel Nicolau

Lecturer in Business Analytics, University College Dublin, Ireland

Dirección de correo verificada de ucd.ie

Evolutionary Computation Genetic Programming Grammatical Evolution Machine Learning Real-World Applications


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	202*	2012
Learning neural representations for network anomaly detection M Nicolau, J McDermott IEEE transactions on cybernetics 49 (8), 3074-3087, 2018	159	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	138	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	117	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	75	2016
πGrammatical Evolution M O’Neill, A Brabazon, M Nicolau, SM Garraghy, P Keenan Genetic and Evolutionary Computation–GECCO 2004: Genetic and Evolutionary …, 2004	71	2004
Genetic algorithms using grammatical evolution C Ryan, M Nicolau, M O’Neill Genetic Programming: 5th European Conference, EuroGP 2002 Kinsale, Ireland …, 2002	64	2002
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	63	2017
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	47	2016
Understanding grammatical evolution: initialisation M Nicolau Genetic Programming and Evolvable Machines 18 (4), 467-507, 2017	41	2017
Understanding grammatical evolution: Grammar design M Nicolau, A Agapitos Handbook of grammatical evolution, 23-53, 2018	39	2018
Introducing grammar based extensions for grammatical evolution M Nicolau, I Dempsey 2006 IEEE International Conference on Evolutionary Computation, 648-655, 2006	35	2006
Solving sudoku with the gAuGE system M Nicolau, C Ryan European Conference on Genetic Programming, 213-224, 2006	34	2006
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	33	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	33	2015
Grammar defined introns: An investigation into grammars, introns, and bias in grammatical evolution M O'Neill, C Ryan, M Nicolau Proceedings of the 3rd Annual Conference on Genetic and Evolutionary …, 2001	33	2001
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	31	2021
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	31	2019
Automatic grammar complexity reduction in grammatical evolution M Nicolau	31	2004

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