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Miguel Nicolau
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2020 – today
- 2024
- [j11]Stefano Mauceri
, James Sweeney
Dissimilarity-Preserving Representation Learning for One-Class Time Series Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13951-13962 (2024) - 2022
- [c60]Miguel Nicolau:
BSGenerator: a Tool to Design Unique Online Examinations using Question Variations. IIAI-AAI 2022: 182-187 - 2021
- [j10]Miguel Nicolau
Choosing function sets with better generalisation performance for symbolic regression models. Genet. Program. Evolvable Mach. 22(1): 73-100 (2021) - [j9]Stefano Mauceri
Feature extraction by grammatical evolution for one-class time series classification. Genet. Program. Evolvable Mach. 22(3): 267-295 (2021) - [j8]Miguel Nicolau
Highlights of genetic programming 2020 events. Genet. Program. Evolvable Mach. 22(4): 391-393 (2021) - 2020
- [j7]Ting Hu, Miguel Nicolau
Special issue on highlights of genetic programming 2019 events. Genet. Program. Evolvable Mach. 21(3): 283-285 (2020)
2010 – 2019
- 2019
- [j6]Van Loi Cao
Learning Neural Representations for Network Anomaly Detection. IEEE Trans. Cybern. 49(8): 3074-3087 (2019) - [j5]Alexandros Agapitos
A Survey of Statistical Machine Learning Elements in Genetic Programming. IEEE Trans. Evol. Comput. 23(6): 1029-1048 (2019) - [c59]Miguel Nicolau, James McDermott:
Genetic Programming Symbolic Regression: What Is the Prior on the Prediction? GPTP 2019: 201-225 - 2018
- [c58]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill:
Towards Understanding and Refining the General Program Synthesis Benchmark Suite with Genetic Programming. CEC 2018: 1-6 - [c57]Miguel Nicolau, Alexandros Agapitos:
On the effect of function set to the generalisation of symbolic regression models. GECCO (Companion) 2018: 272-273 - [c56]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
Towards effective semantic operators for program synthesis in genetic programming. GECCO 2018: 1119-1126 - [c55]Ales Zamuda
A black-box discrete optimization benchmarking (BB-DOB) pipeline survey: taxonomy, evaluation, and ranking. GECCO (Companion) 2018: 1777-1782 - [c54]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill:
Extending Program Synthesis Grammars for Grammar-Guided Genetic Programming. PPSN (1) 2018: 197-208 - [p2]Miguel Nicolau
Understanding Grammatical Evolution: Grammar Design. Handbook of Grammatical Evolution 2018: 23-53 - [p1]Diego Pérez-Liébana, Miguel Nicolau:
Evolving Behaviour Tree Structures Using Grammatical Evolution. Handbook of Grammatical Evolution 2018: 433-460 - 2017
- [j4]Michael O'Neill
Distilling the salient features of natural systems: Commentary on "On the mapping of genotype to phenotype in evolutionary algorithms" by Whigham, Dick and Maclaurin. Genet. Program. Evolvable Mach. 18(3): 379-383 (2017) - [j3]Miguel Nicolau
Understanding grammatical evolution: initialisation. Genet. Program. Evolvable Mach. 18(4): 467-507 (2017) - [j2]Miguel Nicolau
Evolutionary Behavior Tree Approaches for Navigating Platform Games. IEEE Trans. Comput. Intell. AI Games 9(3): 227-238 (2017) - [c53]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
Semantics-Based Crossover for Program Synthesis in Genetic Programming. Artificial Evolution 2017: 58-71 - [c52]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming. EuroGP 2017: 262-277 - [c51]Van Loi Cao, Miguel Nicolau, James McDermott:
Late-acceptance and step-counting hill-climbing GP for anomaly detection. GECCO (Companion) 2017: 221-222 - [c50]James McDermott, Miguel Nicolau:
Late-acceptance hill-climbing with a grammatical program representation. GECCO (Companion) 2017: 241-242 - [i2]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 abs/1704.03522 (2017) - 2016
- [c49]Van Loi Cao
One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming. EuroGP 2016: 3-18 - [c48]Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O'Neill
Grammar Design for Derivation Tree Based Genetic Programming Systems. EuroGP 2016: 199-214 - [c47]Van Loi Cao
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data. EvoApplications (1) 2016: 35-45 - [c46]Miguel Nicolau, Michael Fenton
Managing Repetition in Grammar-Based Genetic Programming. GECCO 2016: 765-772 - [c45]Gilyana Borlikova, Michael Phillips, Louis Smith, Miguel Nicolau, Michael O'Neill:
Alternative Fitness Functions in the Development of Models for Prediction of Patient Recruitment in Multicentre Clinical Trials. OR 2016: 375-381 - [c44]Van Loi Cao
A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection. PPSN 2016: 717-726 - 2015
- [c43]Miguel Nicolau, Alexandros Agapitos, Michael O'Neill
Guidelines for defining benchmark problems in Genetic Programming. CEC 2015: 1152-1159 - [c42]Alexandros Agapitos, Michael O'Neill
Deep evolution of image representations for handwritten digit recognition. CEC 2015: 2452-2459 - [c41]Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O'Neill
Introducing Semantic-Clustering Selection in Grammatical Evolution. GECCO (Companion) 2015: 1277-1284 - 2014
- [c40]Michael O'Neill
Experiments in program synthesis with grammatical evolution: A focus on Integer Sorting. IEEE Congress on Evolutionary Computation 2014: 1504-1511 - [c39]Jonathan Byrne, Miguel Nicolau, Anthony Brabazon
An examination of synchronisation in Artificial Gene Regulatory Networks. IEEE Congress on Evolutionary Computation 2014: 2764-2769 - [c38]Sarah Donne, Miguel Nicolau, Christopher J. Bean
Wave height quantification using land based seismic data with grammatical evolution. IEEE Congress on Evolutionary Computation 2014: 2909-2916 - [c37]Miguel Nicolau, Dan Costelloe:
Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits. EvoMUSART 2014: 38-49 - [c36]Miguel Nicolau, Michael O'Neill
Dynamic Index Trading Using a Gene Regulatory Network Model. EvoApplications 2014: 251-263 - [e2]Miguel Nicolau, Krzysztof Krawiec, Malcolm I. Heywood, Mauro Castelli
Genetic Programming - 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8599, Springer 2014, ISBN 978-3-662-44302-6 [contents] - 2012
- [c35]Noor Shaker, Georgios N. Yannakakis, Julian Togelius, Miguel Nicolau, Michael O'Neill:
Evolving Personalized Content for Super Mario Bros Using Grammatical Evolution. AIIDE 2012 - [c34]Miguel Nicolau, Michael O'Neill
Termination in Grammatical Evolution: grammar design, wrapping, and tails. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c33]Noor Shaker, Miguel Nicolau, Georgios N. Yannakakis
Evolving levels for Super Mario Bros using grammatical evolution. CIG 2012: 304-311 - [c32]Eoin Murphy, Erik Hemberg, Miguel Nicolau, Michael O'Neill
Grammar Bias and Initialisation in Grammar Based Genetic Programming. EuroGP 2012: 85-96 - [c31]Miguel Nicolau, Matthew Saunders
Evolving Interpolating Models of Net Ecosystem CO2 Exchange Using Grammatical Evolution. EuroGP 2012: 134-145 - [c30]John Mark Swafford, Miguel Nicolau, Erik Hemberg, Michael O'Neill
Comparing methods for module identification in grammatical evolution. GECCO 2012: 823-830 - [c29]David Fagan, Erik Hemberg, Miguel Nicolau, Michael O'Neill
Towards adaptive mutation in grammatical evolution. GECCO (Companion) 2012: 1481-1482 - [c28]Eoin Murphy, Miguel Nicolau, Erik Hemberg, Michael O'Neill
Differential Gene Expression with Tree-Adjunct Grammars. PPSN (1) 2012: 377-386 - [c27]Miguel Nicolau, Michael O'Neill
Applying Genetic Regulatory Networks to Index Trading. PPSN (2) 2012: 428-437 - 2011
- [c26]Diego Perez Liebana
Reactiveness and navigation in computer games: Different needs, different approaches. CIG 2011: 273-280 - [c25]David Fagan, Miguel Nicolau, Erik Hemberg, Michael O'Neill
Investigation of the Performance of Different Mapping Orders for GE on the Max Problem. EuroGP 2011: 286-297 - [c24]John Mark Swafford, Michael O'Neill
Exploring Grammatical Modification with Modules in Grammatical Evolution. EuroGP 2011: 310-321 - [c23]Diego Perez Liebana
Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution. EvoApplications (1) 2011: 123-132 - [c22]Miguel Nicolau, Dan Costelloe:
Using Grammatical Evolution to Parameterise Interactive 3D Image Generation. EvoApplications (2) 2011: 374-383 - [c21]David Fagan, Miguel Nicolau, Erik Hemberg, Michael O'Neill
Dynamic ant: introducing a new benchmark for genetic programming in dynamic environments. GECCO (Companion) 2011: 183-184 - [c20]Michael O'Neill
Dynamic environments can speed up evolution with genetic programming. GECCO (Companion) 2011: 191-192 - [c19]John Mark Swafford, Erik Hemberg, Michael O'Neill
A non-destructive grammar modification approach to modularity in grammatical evolution. GECCO 2011: 1411-1418 - [e1]Sara Silva, James A. Foster, Miguel Nicolau, Penousal Machado, Mario Giacobini
Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29, 2011. Proceedings. Lecture Notes in Computer Science 6621, Springer 2011, ISBN 978-3-642-20406-7 [contents] - 2010
- [c18]David Fagan, Miguel Nicolau, Michael O'Neill
Investigating mapping order in piGE. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c17]Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf:
Evolving Genes to Balance a Pole. EuroGP 2010: 196-207 - [i1]Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf:
Evolving Genes to Balance a Pole. CoRR abs/1005.2815 (2010)
2000 – 2009
- 2009
- [j1]Miguel Nicolau, Marc Schoenauer
On the evolution of scale-free topologies with a gene regulatory network model. Biosyst. 98(3): 137-148 (2009) - [c16]Rui Dilão
Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm. EvoBIO 2009: 176-190 - [c15]Miguel Nicolau, Marc Schoenauer
Evolving specific network statistical properties using a gene regulatory network model. GECCO 2009: 723-730 - [c14]Miguel Nicolau:
Application of a simple binary genetic algorithm to a noiseless testbed benchmark. GECCO (Companion) 2009: 2473-2478 - 2008
- [c13]Miguel Nicolau, Marc Schoenauer
Evolving scale-free topologies using a Gene Regulatory Network model. IEEE Congress on Evolutionary Computation 2008: 3747-3754 - 2006
- [c12]Miguel Nicolau, Ian Dempsey:
Introducing Grammar Based Extensions for Grammatical Evolution. IEEE Congress on Evolutionary Computation 2006: 648-655 - [c11]Miguel Nicolau, Conor Ryan
Genetic Operators and Sequencing in the GAuGE System. IEEE Congress on Evolutionary Computation 2006: 1561-1568 - [c10]Miguel Nicolau, Conor Ryan
Solving Sudoku with the GAuGE System. EuroGP 2006: 213-224 - 2005
- [c9]Christopher R. Stephens, Miguel Nicolau, Conor Ryan
Zero Is ot a Four Letter Word: Studies in the Evolution of Language. EuroGP 2005: 371-380 - 2004
- [c8]Miguel Nicolau, Conor Ryan
Efficient Crossover in the GAuGE System. EuroGP 2004: 125-137 - [c7]Michael O'Neill, Anthony Brabazon, Miguel Nicolau, Seán McGarraghy, Peter B. Keenan:
pi-Grammatical Evolution. GECCO (2) 2004: 617-629 - [c6]Miguel Nicolau, Conor Ryan
Crossover, Population Dynamics, and Convergence in the GAuGE System. GECCO (1) 2004: 1414-1425 - 2003
- [c5]Miguel Nicolau, Anne Auger, Conor Ryan
Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System. Artificial Evolution 2003: 15-26 - [c4]Miguel Nicolau, Conor Ryan
How Functional Dependency Adapts to Salience Hierarchy in the GAuGE System. EuroGP 2003: 153-163 - [c3]Conor Ryan
On the Avoidance of Fruitless Wraps in Grammatical Evolution. GECCO 2003: 1752-1763 - 2002
- [c2]Conor Ryan
Genetic Algorithms Using Grammatical Evolution. EuroGP 2002: 278-287 - [c1]Miguel Nicolau, Conor Ryan:
LINKGAUGE: Tackling Hard Deceptive Problems With A New Linkage Learning Genetic Algorithm. GECCO 2002: 488-494
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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