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ORCIDAnikó Ekárt
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- affiliation: Aston University, Birmingham, UK
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2020 – today
- 2024
[c47]Edward Easton, Ulysses Bernardet
, Anikó Ekárt:
Modelling Individual Aesthetic Preferences of 3D Sculptures. EvoMUSART 2024: 130-145- 2023
- [j30]Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification. J. Ambient Intell. Humaniz. Comput. 14(4): 3129-3144 (2023) - [j29]Simon T. Powers, Olena Linnyk, Michael Guckert, Jennifer Hannig, Jeremy Pitt, Neil Urquhart, Anikó Ekárt, Nils Gumpfer, The Anh Han, Peter R. Lewis, Stephen Marsh, Tim Weber:
The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI. IEEE Technol. Soc. Mag. 42(4): 95-106 (2023) - [j28]Jacob Schrum, Jialin Liu, Cameron Browne, Anikó Ekárt, Marcus Gallagher:
Guest Editorial: Special Issue on Evolutionary Computation for Games. IEEE Trans. Games 15(1): 1-4 (2023) - [c46]Edward Easton, Ulysses Bernardet, Anikó Ekárt:
Contributors to the aesthetic judgement of 3D virtual sculptures. ARTECH 2023: 24:1-24:9 - [c45]Jodie Ashford, Anikó Ekárt, Felipe Campelo:
Estimating the Limits of Organism-Specific Training for Epitope Prediction. BIBM 2023: 4195-4202 - [c44]John Rego Hamilton, Anikó Ekárt, Alina Patelli:
Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning. EvoApplications@EvoStar 2023: 519-535 - [c43]Edward Easton, Ulysses Bernardet, Anikó Ekárt:
Is Beauty in the Age of the Beholder? EvoMUSART@EvoStar 2023: 84-99 - [c42]Goodluck Oguzie, Anikó Ekárt, Luis J. Manso:
Predictive World Models for Social Navigation. UKCI 2023: 53-64 - 2022
- [j27]Edward Easton, Anikó Ekárt, Ulysses Bernardet:
Axial Generation: Mixing Colour and Shapes to Automatically Form Diverse Digital Sculptures. SN Comput. Sci. 3(6): 505 (2022) - [c41]Alina Patelli, John Rego Hamilton, Victoria Lush, Anikó Ekárt:
A GENTLER Approach to Urban Traffic Modelling and Prediction. CEC 2022: 1-8 - [c40]Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Overcoming Dynamicity with Plasticity: Neuromodulation for Lifelike Systems. LIFELIKE 2022 - [c39]Sanobar Dar, Anikó Ekárt, Ulysses Bernardet:
The Virtual Human Breathing Coach. VR Workshops 2022: 434-436 - 2021
- [j26]Jordan J. Bird, Michael Pritchard, Antonio Fratini, Anikó Ekárt, Diego R. Faria:
Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation. IEEE Robotics Autom. Lett. 6(2): 3498-3504 (2021) - [j25]Anikó Ekárt, Anna Isabel Esparcia-Alcázar:
Editorial for the Topical Issue "Evolution, the New AI Revolution". SN Comput. Sci. 2(6): 433 (2021) - [c38]Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Evolving Neuromodulated Controllers in Variable Environments. ACSOS 2021: 164-169 - [c37]Edward Easton, Anikó Ekárt, Ulysses Bernardet:
Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks. EvoMUSART 2021: 115-130 - [i7]Jordan J. Bird, Chloe M. Barnes, Luis J. Manso, Anikó Ekárt, Diego R. Faria:
Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation. CoRR abs/2104.05647 (2021) - 2020
- [j24]Jordan J. Bird, Jhonatan Kobylarz, Diego R. Faria, Anikó Ekárt, Eduardo Parente Ribeiro:
Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. IEEE Access 8: 54789-54801 (2020) - [j23]Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria:
Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. Expert Syst. Appl. 153: 113402 (2020) - [j22]Chloe M. Barnes, Anikó Ekárt, Peter R. Lewis:
Beyond goal-rationality: Traditional action can reduce volatility in socially situated agents. Future Gener. Comput. Syst. 113: 579-596 (2020) - [j21]Jhonatan Kobylarz, Jordan J. Bird, Diego R. Faria, Eduardo Parente Ribeiro, Anikó Ekárt:
Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning. J. Ambient Intell. Humaniz. Comput. 11(12): 6021-6031 (2020) - [j20]Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language. Sensors 20(18): 5151 (2020) - [j19]Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
On the effects of pseudorandom and quantum-random number generators in soft computing. Soft Comput. 24(12): 9243-9256 (2020) - [j18]Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility. ACM Trans. Auton. Adapt. Syst. 15(4): 11:1-11:26 (2020) - [c36]Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks. ACSOS 2020: 129-138 - [c35]Anikó Ekárt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor:
Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction. CEC 2020: 1-8 - [c34]Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, Pedro P. S. Ayrosa:
Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. ICARSC 2020: 146-151 - [c33]Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, George Vogiatzis:
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. IROS 2020: 10380-10385 - [c32]Jordan J. Bird, Diego R. Faria, Anikó Ekárt, Pedro P. S. Ayrosa:
From Simulation to Reality: CNN Transfer Learning for Scene Classification. IEEE Conf. on Intelligent Systems 2020: 619-625 - [e11]Juan Romero, Anikó Ekárt, Tiago Martins, João Correia:
Artificial Intelligence in Music, Sound, Art and Design - 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings. Lecture Notes in Computer Science 12103, Springer 2020, ISBN 978-3-030-43858-6 [contents] - [i6]Alina Patelli, Victoria Lush, Anikó Ekárt, Elisabeth Ilie Zudor:
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data. CoRR abs/2002.06095 (2020) - [i5]Jordan J. Bird, Diego R. Faria, Anikó Ekárt, Cristiano Premebida, Pedro P. S. Ayrosa:
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. CoRR abs/2007.00659 (2020) - [i4]Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, George Vogiatzis:
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. CoRR abs/2007.10175 (2020) - [i3]Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
Chatbot Interaction with Artificial Intelligence: Human Data Augmentation with T5 and Language Transformer Ensemble for Text Classification. CoRR abs/2010.05990 (2020)
2010 – 2019
- 2019
- [j17]Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham:
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. Complex. 2019: 4316548:1-4316548:14 (2019) - [j16]Elisabeth Ilie Zudor, Davy Preuveneers, Anikó Ekárt, Eckhard Hohwieler:
Smart Cyber-Physical System applications in production and logistics: special issue editorial. Int. J. Comput. Integr. Manuf. 32(4-5): 327-328 (2019) - [c31]Edward Easton, Ulysses Bernardet, Anikó Ekárt:
Tired of Choosing? Just Add Structure and Virtual Reality. EvoMUSART 2019: 142-155 - [c30]Thomas D. Griffiths, Anikó Ekárt:
Increasing genetic programming robustness using simulated dunning-kruger effect. GECCO (Companion) 2019: 340-341 - [c29]Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria:
Phoneme aware speech recognition through evolutionary optimisation. GECCO (Companion) 2019: 362-363 - [c28]Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria:
Accent classification in human speech biometrics for native and non-native english speakers. PETRA 2019: 554-560 - [c27]Chloe M. Barnes, Anikó Ekárt, Peter R. Lewis:
Social Action in Socially Situated Agents. SASO 2019: 97-106 - [c26]Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network. UKCI 2019: 271-282 - [e10]Anikó Ekárt, Antonios Liapis, María Luz Castro Pena:
Computational Intelligence in Music, Sound, Art and Design - 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings. Lecture Notes in Computer Science 11453, Springer 2019, ISBN 978-3-030-16666-3 [contents] - [i2]Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham:
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. CoRR abs/1908.04784 (2019) - [i1]Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. CoRR abs/1910.04701 (2019) - 2018
- [j15]Simon T. Powers, Anikó Ekárt, Peter R. Lewis:
Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches. Cogn. Syst. Res. 52: 67-81 (2018) - [c25]Hamid Golzadeh, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham:
Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks. IEEE Conf. on Intelligent Systems 2018: 789-794 - [c24]Jordan J. Bird, Luis J. Manso, Eduardo Parente Ribeiro, Anikó Ekárt, Diego R. Faria:
A Study on Mental State Classification using EEG-based Brain-Machine Interface. IEEE Conf. on Intelligent Systems 2018: 795-800 - [c23]Simon T. Powers, Anikó Ekárt, Peter R. Lewis:
Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches. ALIFE 2018: 105-106 - [c22]Karma M. Fathalla, Anikó Ekárt, Doina Gherghel:
Partially Lazy Classification of Cardiovascular Risk via Multi-way Graph Cut Optimization. KES 2018: 576-585 - [c21]Thomas D. Griffiths, Anikó Ekárt:
Self-adaptive Crossover in Genetic Programming: The Case of the Tartarus Problem. PPSN (1) 2018: 236-246 - [c20]David Burth Kurka, Jeremy Pitt, Peter R. Lewis, Alina Patelli, Anikó Ekárt:
Disobedience as a Mechanism of Change. SASO 2018: 1-10 - [c19]Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System. UKCI 2018: 179-190 - [e9]Antonios Liapis, Juan Jesús Romero Cardalda, Anikó Ekárt:
Computational Intelligence in Music, Sound, Art and Design - 7th International Conference, EvoMUSART 2018, Parma, Italy, April 4-6, 2018, Proceedings. Lecture Notes in Computer Science 10783, Springer 2018, ISBN 978-3-319-77582-1 [contents] - 2017
- [j14]Alina Patelli, Peter R. Lewis, Anikó Ekárt, Hai H. Wang, Ian T. Nabney, David Bennett, Ralph Lucas, Alex Cole:
An architecture for the autonomic curation of crowdsourced knowledge. Clust. Comput. 20(3): 2031-2046 (2017) - [j13]Anikó Ekárt, Peter R. Lewis:
Genotype-phenotype mapping implications for genetic programming representation: Commentary on "On the mapping of genotype to phenotype in evolutionary algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin. Genet. Program. Evolvable Mach. 18(3): 369-372 (2017) - [c18]Thomas D. Griffiths, Anikó Ekárt:
Improving the Tartarus Problem as a Benchmark in Genetic Programming. EuroGP 2017: 278-293 - [c17]Anikó Ekárt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor:
Gaining insights into road traffic data through genetic improvement. GECCO (Companion) 2017: 1511-1512 - [c16]Peter R. Lewis, Anikó Ekárt:
Social and Asocial Learning in Collective Action Problems: The Rise and Fall of Socially-Beneficial Behaviour. FAS*W@SASO/ICCAC 2017: 91-96 - 2016
- [c15]Adriano Vinhas, Filipe Assunção, João Correia, Anikó Ekárt, Penousal Machado:
Fitness and Novelty in Evolutionary Art. EvoMUSART 2016: 225-240 - [c14]Karma M. Fathalla, Anikó Ekárt, Swathi Seshadri, Doina Gherghel:
Cardiovascular risk prediction based on Retinal Vessel Analysis using machine learning. SMC 2016: 880-885 - [c13]Aman Soni, Peter R. Lewis, Anikó Ekárt:
Offline and online time in Sequential Decision-Making Problems. SSCI 2016: 1-8 - 2015
- [j12]Penousal Machado, Adriano Vinhas, João Correia, Anikó Ekárt:
Evolving ambiguous images. AI Matters 2(1): 7-8 (2015) - [c12]Alina Patelli, Nelly Bencomo, Anikó Ekárt, Harry Goldingay, Peter R. Lewis:
Two-B or not Two-B?: Design Patterns for Hybrid Metaheuristics. GECCO (Companion) 2015: 1269-1274 - [c11]Penousal Machado, Adriano Vinhas, João Correia, Anikó Ekárt:
Evolving Ambiguous Images. IJCAI 2015: 2473-2479 - 2014
- [j11]Anikó Ekárt:
Emergence in genetic programming - Let's exploit it! Genet. Program. Evolvable Mach. 15(1): 83-85 (2014) - [c10]Una-May O'Reilly, Anna Esparcia-Alcázar, Anne Auger, Carola Doerr, Anikó Ekárt, Gabriela Ochoa:
Women@GECCO 2014. GECCO (Companion) 2014: 1487-1488 - [c9]Shehnila Zardari, Rami Bahsoon, Anikó Ekárt:
Cloud adoption: prioritizing obstacles and obstacles resolution tactics using AHP. SAC 2014: 1013-1020 - 2013
- [c8]Meng Chang, Minghua He, Anikó Ekárt, Xudong Luo, Shichao Zhang:
Bi-directional double auction for financial market simulation. AAMAS 2013: 1313-1314 - 2012
- [j10]András Joó, Anikó Ekárt, Juan Pablo Neirotti:
Genetic Algorithms for Discovery of Matrix Multiplication Methods. IEEE Trans. Evol. Comput. 16(5): 749-751 (2012) - [e8]Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, William B. Langdon, Juan Julián Merelo Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis:
Applications of Evolutionary Computation - EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings. Lecture Notes in Computer Science 7248, Springer 2012, ISBN 978-3-642-29177-7 [contents] - 2011
- [c7]Anikó Ekárt, Divya Sharma, Stayko Chalakov:
Modelling Human Preference in Evolutionary Art. EvoApplications (2) 2011: 303-312 - [e7]Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna Esparcia-Alcázar, Juan Julián Merelo Guervós, Ferrante Neri, Mike Preuss, Hendrik Richter, Julian Togelius, Georgios N. Yannakakis:
Applications of Evolutionary Computation - EvoApplications 2011: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6624, Springer 2011, ISBN 978-3-642-20524-8 [contents] - 2010
- [e6]Anna Isabel Esparcia-Alcázar, Anikó Ekárt, Sara Silva, Stephen Dignum, A. Sima Etaner-Uyar:
Genetic Programming, 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings. Lecture Notes in Computer Science 6021, Springer 2010, ISBN 978-3-642-12147-0 [contents] - [e5]Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna Esparcia-Alcázar, Chi Keong Goh, Juan Julián Merelo Guervós, Ferrante Neri, Mike Preuss, Julian Togelius, Georgios N. Yannakakis:
Applications of Evolutionary Computation, EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6024, Springer 2010, ISBN 978-3-642-12238-5 [contents]
2000 – 2009
- 2009
- [e4]Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang:
Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings. Lecture Notes in Computer Science 5484, Springer 2009, ISBN 978-3-642-01128-3 [contents] - 2008
- [e3]Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Jon McCormack, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Sima Uyar, Shengxiang Yang:
Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings. Lecture Notes in Computer Science 4974, Springer 2008, ISBN 978-3-540-78760-0 [contents] - 2007
- [j9]Zsolt Jankó, Dmitry Chetverikov, Anikó Ekárt:
Using Genetic Algorithms in Computer Vision: Registering Images to 3D Surface Model. Acta Cybern. 18(2): 193-212 (2007) - [c6]Anikó Ekárt:
Evolution of lace knitting stitch patterns by genetic programming. GECCO (Companion) 2007: 2457-2461 - [c5]Anikó Ekárt:
Genetic Programming for the Design of Lace Knitting Stitch Patterns. SGAI Conf. (Applications) 2007: 261-274 - [e2]Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Esparcia-Alcázar:
Genetic Programming, 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings. Lecture Notes in Computer Science 4445, Springer 2007, ISBN 978-3-540-71602-0 [contents] - 2006
- [j8]Zsolt Jankó, Dmitry Chetverikov, Anikó Ekárt:
Using a genetic algorithm to register an uncalibrated image pair to a 3D surface model. Eng. Appl. Artif. Intell. 19(3): 269-276 (2006) - [j7]Evgeny Lomonosov, Dmitry Chetverikov, Anikó Ekárt:
Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm. Pattern Recognit. Lett. 27(11): 1201-1208 (2006) - [e1]Pierre Collet, Marco Tomassini, Marc Ebner, Steven M. Gustafson, Anikó Ekárt:
Genetic Programming, 9th European Conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006, Proceedings. Lecture Notes in Computer Science 3905, Springer 2006, ISBN 3-540-33143-3 [contents] - 2005
- [j6]Anikó Ekárt, Sándor Zoltán Németh:
Stability analysis of tree structured decision functions. Eur. J. Oper. Res. 160(3): 676-695 (2005) - 2004
- [j5]Steven M. Gustafson, Anikó Ekárt, Edmund K. Burke, Graham Kendall:
Problem Difficulty and Code Growth in Genetic Programming. Genet. Program. Evolvable Mach. 5(3): 271-290 (2004) - [c4]Anikó Ekárt, Steven M. Gustafson:
A Data Structure for Improved GP Analysis via Efficient Computation and Visualisation of Population Measures. EuroGP 2004: 35-46 - 2003
- [j4]Anikó Ekárt, András Márkus:
Using genetic programming and decision trees for generating structural descriptions of four bar mechanisms. Artif. Intell. Eng. Des. Anal. Manuf. 17(3): 205-220 (2003) - [j3]Gábor Renner, Anikó Ekárt:
Genetic algorithms in computer aided design. Comput. Aided Des. 35(8): 709-726 (2003) - 2002
- [c3]Anikó Ekárt, Sándor Zoltán Németh:
Maintaining the Diversity of Genetic Programs. EuroGP 2002: 162-171 - 2001
- [j2]Anikó Ekárt, Sándor Zoltán Németh:
A noncontinuous generalization of the arithmetic-geometric mean. Appl. Math. Comput. 124(2): 261-279 (2001) - [j1]Anikó Ekárt, Sándor Zoltán Németh:
Selection Based on the Pareto Nondomination Criterion for Controlling Code Growth in Genetic Programming. Genet. Program. Evolvable Mach. 2(1): 61-73 (2001) - 2000
- [c2]Anikó Ekárt, Sándor Zoltán Németh:
A Metric for Genetic Programs and Fitness Sharing. EuroGP 2000: 259-270
1990 – 1999
- 1999
- [c1]Anikó Ekárt:
Shorter Fitness Preserving Genetic Programs. Artificial Evolution 1999: 73-83
Coauthor Index
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