Miguel Nicolau

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	Toate	Din 2020
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Michael O'NeillFull Professor of Business Analytics, University College DublinAdresă de e-mail confirmată pe ucd.ie
Conor RyanUniversity of LimerickAdresă de e-mail confirmată pe ul.ie
Diego Perez-LiebanaQueen Mary University of LondonAdresă de e-mail confirmată pe qmul.ac.uk
Marc SchoenauerSenior Researcher Emeritus, INRIAAdresă de e-mail confirmată pe inria.fr
Erik HembergResearch Scientist, MIT CSAILAdresă de e-mail confirmată pe csail.mit.edu
Noor ShakerAssistant Prof., Aalborg University CopenhagenAdresă de e-mail confirmată pe create.aau.dk
Georgios N. YannakakisProfessor, Director, Inst. of Digital Games, University of Malta | modl.aiAdresă de e-mail confirmată pe um.edu.mt
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiAdresă de e-mail confirmată pe nyu.edu
John Mark Swafford, PhDJava DeveloperAdresă de e-mail confirmată pe ucdconnect.ie
Peter KeenanUniversity College DublinAdresă de e-mail confirmată pe ucd.ie
Wolfgang BanzhafKoza Chair in Genetic Programming, Michigan State University, USAAdresă de e-mail confirmată pe msu.edu
Matthew SaundersTrinity College DublinAdresă de e-mail confirmată pe tcd.ie
Edgar GalvanSenior Researcher of Computer Science at National University of Ireland MaynoothAdresă de e-mail confirmată pe nuim.ie
Jonathan ByrneResearch Scientist, University College DublinAdresă de e-mail confirmată pe ucd.ie

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Miguel Nicolau

Lecturer in Business Analytics, University College Dublin, Ireland

Adresă de e-mail confirmată pe ucd.ie

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


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	222*	2012
Learning neural representations for network anomaly detection M Nicolau, J McDermott IEEE transactions on cybernetics 49 (8), 3074-3087, 2018	190	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	151	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	127	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	84	2016
Genetic Programming K Krawiec, MI Heywood, M Castelli, P García-Sánchez, JJ Merelo, ... Springer, 2014	83	2014
πGrammatical Evolution M O’Neill, A Brabazon, M Nicolau, SM Garraghy, P Keenan Genetic and Evolutionary Computation–GECCO 2004: Genetic and Evolutionary …, 2004	78	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	68	2017
Genetic algorithms using grammatical evolution C Ryan, M Nicolau, M O’Neill European Conference on Genetic Programming, 278-287, 2002	64	2002
Evolving genes to balance a pole M Nicolau, M Schoenauer, W Banzhaf European Conference on Genetic Programming, 196-207, 2010	60	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	57	2016
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	45	2021
Understanding grammatical evolution: initialisation M Nicolau Genetic Programming and Evolvable Machines 18 (4), 467-507, 2017	43	2017
Extending program synthesis grammars for grammar-guided genetic programming S Forstenlechner, D Fagan, M Nicolau, M O’Neill International Conference on Parallel Problem Solving from Nature, 197-208, 2018	41	2018
Understanding grammatical evolution: Grammar design M Nicolau, A Agapitos Handbook of grammatical evolution, 23-53, 2018	38	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	37	2015
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	35	2006
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	33	2014
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

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