Shorter Fitness Preserving Genetic Programs. - Anikó Ekárt (Artificial Evolution, 1999)

A Metric for Genetic Programs and Fitness Sharing. - Anikó Ekárt; Sándor Zoltán Németh (EuroGP, 2000)

A noncontinuous generalization of the arithmetic-geometric mean. - Anikó Ekárt; Sándor Zoltán Németh (Appl. Math. Comput., 2001)

Selection Based on the Pareto Nondomination Criterion for Controlling Code Growth in Genetic Programming. - Anikó Ekárt; Sándor Zoltán Németh (Genet. Program. Evolvable Mach., 2001)

Maintaining the Diversity of Genetic Programs. - Anikó Ekárt; Sándor Zoltán Németh (EuroGP, 2002)

Using genetic programming and decision trees for generating structural descriptions of four bar mechanisms. - Anikó Ekárt; András Márkus (Artif. Intell. Eng. Des. Anal. Manuf., 2003)

Genetic algorithms in computer aided design. - Gábor Renner; Anikó Ekárt (Comput. Aided Des., 2003)

A Data Structure for Improved GP Analysis via Efficient Computation and Visualisation of Population Measures. - Anikó Ekárt; Steven M. Gustafson (EuroGP, 2004)

Problem Difficulty and Code Growth in Genetic Programming. - Steven M. Gustafson; Anikó Ekárt; Edmund K. Burke; Graham Kendall (Genet. Program. Evolvable Mach., 2004)

Stability analysis of tree structured decision functions. - Anikó Ekárt; Sándor Zoltán Németh (Eur. J. Oper. Res., 2005)

Using a genetic algorithm to register an uncalibrated image pair to a 3D surface model. - Zsolt Jankó; Dmitry Chetverikov; Anikó Ekárt (Eng. Appl. Artif. Intell., 2006)

Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm. - Evgeny Lomonosov; Dmitry Chetverikov; Anikó Ekárt (Pattern Recognit. Lett., 2006)

Evolution of lace knitting stitch patterns by genetic programming. - Anikó Ekárt (GECCO (Companion), 2007)

Genetic Programming for the Design of Lace Knitting Stitch Patterns. - Anikó Ekárt (SGAI Conf. (Applications), 2007)

Using Genetic Algorithms in Computer Vision: Registering Images to 3D Surface Model. - Zsolt Jankó; Dmitry Chetverikov; Anikó Ekárt (Acta Cybern., 2007)

Modelling Human Preference in Evolutionary Art. - Anikó Ekárt; Divya Sharma; Stayko Chalakov (EvoApplications (2), 2011)

Genetic Algorithms for Discovery of Matrix Multiplication Methods. - András Joó; Anikó Ekárt; Juan Pablo Neirotti (IEEE Trans. Evol. Comput., 2012)

Bi-directional double auction for financial market simulation. - Meng Chang; Minghua He; Anikó Ekárt; Xudong Luo; Shichao Zhang 001 (AAMAS, 2013)

Women@GECCO 2014. - Una-May O'Reilly; Anna Esparcia-Alcázar; Anne Auger; Carola Doerr; Anikó Ekárt; Gabriela Ochoa (GECCO (Companion), 2014)

Cloud adoption: prioritizing obstacles and obstacles resolution tactics using AHP. - Shehnila Zardari; Rami Bahsoon; Anikó Ekárt (SAC, 2014)

Emergence in genetic programming - Let's exploit it! - Anikó Ekárt (Genet. Program. Evolvable Mach., 2014)

Two-B or not Two-B?: Design Patterns for Hybrid Metaheuristics. - Alina Patelli; Nelly Bencomo; Anikó Ekárt; Harry Goldingay; Peter R. Lewis 001 (GECCO (Companion), 2015)

Evolving ambiguous images. - Penousal Machado; Adriano Vinhas; João Correia 001; Anikó Ekárt (AI Matters, 2015)

Fitness and Novelty in Evolutionary Art. - Adriano Vinhas; Filipe Assunção; João Correia 001; Anikó Ekárt; Penousal Machado (EvoMUSART, 2016)

Cardiovascular risk prediction based on Retinal Vessel Analysis using machine learning. - Karma M. Fathalla; Anikó Ekárt; Swathi Seshadri; Doina Gherghel (SMC, 2016)

Offline and online time in Sequential Decision-Making Problems. - Aman Soni; Peter R. Lewis 001; Anikó Ekárt (SSCI, 2016)

Improving the Tartarus Problem as a Benchmark in Genetic Programming. - Thomas D. Griffiths; Anikó Ekárt (EuroGP, 2017)

Gaining insights into road traffic data through genetic improvement. - Anikó Ekárt; Alina Patelli; Victoria Lush; Elisabeth Ilie Zudor (GECCO (Companion), 2017)

Social and Asocial Learning in Collective Action Problems: The Rise and Fall of Socially-Beneficial Behaviour. - Peter R. Lewis 001; Anikó Ekárt (FAS*W@SASO/ICCAC, 2017)

An architecture for the autonomic curation of crowdsourced knowledge. - Alina Patelli; Peter R. Lewis 001; Anikó Ekárt; Hai H. Wang; Ian T. Nabney; David Bennett; Ralph Lucas; Alex Cole (Clust. Comput., 2017)

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. - Anikó Ekárt; Peter R. Lewis 001 (Genet. Program. Evolvable Mach., 2017)

A Study on Mental State Classification using EEG-based Brain-Machine Interface. - Jordan J. Bird; Luis J. Manso; Eduardo Parente Ribeiro; Anikó Ekárt; Diego R. Faria (IEEE Conf. on Intelligent Systems, 2018)

Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks. - Hamid Golzadeh; Diego R. Faria; Luis J. Manso; Anikó Ekárt; Christopher D. Buckingham (IEEE Conf. on Intelligent Systems, 2018)

Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches. - Simon T. Powers; Anikó Ekárt; Peter R. Lewis 001 (ALIFE, 2018)

Partially Lazy Classification of Cardiovascular Risk via Multi-way Graph Cut Optimization. - Karma M. Fathalla; Anikó Ekárt; Doina Gherghel (KES, 2018)

Self-adaptive Crossover in Genetic Programming: The Case of the Tartarus Problem. - Thomas D. Griffiths; Anikó Ekárt (PPSN (1), 2018)

Disobedience as a Mechanism of Change. - David Burth Kurka; Jeremy Pitt; Peter R. Lewis 001; Alina Patelli; Anikó Ekárt (SASO, 2018)

Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (UKCI, 2018)

Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches. - Simon T. Powers; Anikó Ekárt; Peter R. Lewis 001 (Cogn. Syst. Res., 2018)

Tired of Choosing? Just Add Structure and Virtual Reality. - Edward Easton; Ulysses Bernardet; Anikó Ekárt (EvoMUSART, 2019)

Phoneme aware speech recognition through evolutionary optimisation. - Jordan J. Bird; Elizabeth F. Wanner; Anikó Ekárt; Diego R. Faria (GECCO (Companion), 2019)

Increasing genetic programming robustness using simulated dunning-kruger effect. - Thomas D. Griffiths; Anikó Ekárt (GECCO (Companion), 2019)

Accent classification in human speech biometrics for native and non-native english speakers. - Jordan J. Bird; Elizabeth F. Wanner; Anikó Ekárt; Diego R. Faria (PETRA, 2019)

Social Action in Socially Situated Agents. - Chloe M. Barnes; Anikó Ekárt; Peter R. Lewis 001 (SASO, 2019)

Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (UKCI, 2019)

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. - Jordan J. Bird; Diego R. Faria; Luis J. Manso; Anikó Ekárt; Christopher D. Buckingham (Complex., 2019)

On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (CoRR, 2019)

Smart Cyber-Physical System applications in production and logistics: special issue editorial. - Elisabeth Ilie Zudor; Davy Preuveneers; Anikó Ekárt; Eckhard Hohwieler (Int. J. Comput. Integr. Manuf., 2019)

Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks. - Chloe M. Barnes; Anikó Ekárt; Kai Olav Ellefsen; Kyrre Glette; Peter R. Lewis 001; Jim Tørresen (ACSOS, 2020)

Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction. - Anikó Ekárt; Alina Patelli; Victoria Lush; Elisabeth Ilie Zudor (CEC, 2020)

Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. - Jordan J. Bird; Diego R. Faria; Cristiano Premebida; Anikó Ekárt; Pedro P. S. Ayrosa (ICARSC, 2020)

Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. - Jordan J. Bird; Diego R. Faria; Cristiano Premebida; Anikó Ekárt; George Vogiatzis (IROS, 2020)

From Simulation to Reality: CNN Transfer Learning for Scene Classification. - Jordan J. Bird; Diego R. Faria; Anikó Ekárt; Pedro P. S. Ayrosa (IEEE Conf. on Intelligent Systems, 2020)

Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. - Jordan J. Bird; Jhonatan Kobylarz; Diego R. Faria; Anikó Ekárt; Eduardo Parente Ribeiro (IEEE Access, 2020)

Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data. - Alina Patelli; Victoria Lush; Anikó Ekárt; Elisabeth Ilie Zudor (CoRR, 2020)

LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. - Jordan J. Bird; Diego R. Faria; Anikó Ekárt; Cristiano Premebida; Pedro P. S. Ayrosa (CoRR, 2020)

Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. - Jordan J. Bird; Elizabeth F. Wanner; Anikó Ekárt; Diego R. Faria (Expert Syst. Appl., 2020)

Beyond goal-rationality: Traditional action can reduce volatility in socially situated agents. - Chloe M. Barnes; Anikó Ekárt; Peter R. Lewis 001 (Future Gener. Comput. Syst., 2020)

Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning. - Jhonatan Kobylarz; Jordan J. Bird; Diego R. Faria; Eduardo Parente Ribeiro; Anikó Ekárt (J. Ambient Intell. Humaniz. Comput., 2020)

British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (Sensors, 2020)

On the effects of pseudorandom and quantum-random number generators in soft computing. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (Soft Comput., 2020)

Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility. - Chloe M. Barnes; Anikó Ekárt; Kai Olav Ellefsen; Kyrre Glette; Peter R. Lewis 001; Jim Tørresen (ACM Trans. Auton. Adapt. Syst., 2020)

Evolving Neuromodulated Controllers in Variable Environments. - Chloe M. Barnes; Anikó Ekárt; Kai Olav Ellefsen; Kyrre Glette; Peter R. Lewis 001; Jim Tørresen (ACSOS, 2021)

Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks. - Edward Easton; Anikó Ekárt; Ulysses Bernardet (EvoMUSART, 2021)

Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation. - Jordan J. Bird; Chloe M. Barnes; Luis J. Manso; Anikó Ekárt; Diego R. Faria (CoRR, 2021)

Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation. - Jordan J. Bird; Michael Pritchard; Antonio Fratini; Anikó Ekárt; Diego R. Faria (IEEE Robotics Autom. Lett., 2021)

Editorial for the Topical Issue "Evolution, the New AI Revolution". - Anikó Ekárt; Anna Isabel Esparcia-Alcázar (SN Comput. Sci., 2021)

A GENTLER Approach to Urban Traffic Modelling and Prediction. - Alina Patelli; John Rego Hamilton; Victoria Lush; Anikó Ekárt (CEC, 2022)

Overcoming Dynamicity with Plasticity: Neuromodulation for Lifelike Systems. - Chloe M. Barnes; Anikó Ekárt; Kai Olav Ellefsen; Kyrre Glette; Peter R. Lewis 001; Jim Tørresen (LIFELIKE, 2022)

The Virtual Human Breathing Coach. - Sanobar Dar; Anikó Ekárt; Ulysses Bernardet (VR Workshops, 2022)

Axial Generation: Mixing Colour and Shapes to Automatically Form Diverse Digital Sculptures. - Edward Easton; Anikó Ekárt; Ulysses Bernardet (SN Comput. Sci., 2022)

Contributors to the aesthetic judgement of 3D virtual sculptures. - Edward Easton; Ulysses Bernardet; Anikó Ekárt (ARTECH, 2023)

Estimating the Limits of Organism-Specific Training for Epitope Prediction. - Jodie Ashford; Anikó Ekárt; Felipe Campelo (BIBM, 2023)

Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning. - John Rego Hamilton; Anikó Ekárt; Alina Patelli (EvoApplications@EvoStar, 2023)

Is Beauty in the Age of the Beholder? - Edward Easton; Ulysses Bernardet; Anikó Ekárt (EvoMUSART@EvoStar, 2023)

Predictive World Models for Social Navigation. - Goodluck Oguzie; Anikó Ekárt; Luis J. Manso (UKCI, 2023)

Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (J. Ambient Intell. Humaniz. Comput., 2023)

Guest Editorial: Special Issue on Evolutionary Computation for Games. - Jacob Schrum; Jialin Liu 001; Cameron Browne; Anikó Ekárt; Marcus Gallagher (IEEE Trans. Games, 2023)

The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI. - Simon T. Powers; Olena Linnyk; Michael Guckert; Jennifer Hannig; Jeremy Pitt; Neil Urquhart; Anikó Ekárt; Nils Gumpfer; The Anh Han; Peter R. Lewis 001; Stephen Marsh 001; Tim Weber (IEEE Technol. Soc. Mag., 2023)

Modelling Individual Aesthetic Preferences of 3D Sculptures. - Edward Easton; Ulysses Bernardet; Anikó Ekárt (EvoMUSART, 2024)

autoWT: A Semi-Automated ML-Based Movement Tracking System for Performance Tracking and Analysis in Olympic Weightlifting. - Gatis Jurkans; Anikó Ekárt; Ulysses Bernardet (icSPORTS, 2024)

Phylogeny-aware linear B-cell epitope predictor detects targets associated with immune response to orthopoxviruses. - Felipe Campelo; Ana Laura Grossi de Oliveira; João Reis-Cunha; Vanessa Gomes Fraga; Pedro Henrique Bastos; Jodie Ashford; Anikó Ekárt; Talita Emile Ribeiro Adelino; Marcos Vinicius Ferreira Silva; Felipe Campos de Melo Iani; Augusto César Parreiras de Jesus; Daniella Castanheira Bartholomeu; et al. (Briefings Bioinform., 2024)

The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm. - Francesco Rusin; Jan Fiala; Julian Sanker; Suyesh Bhattarai; Anikó Ekárt (EvoApplications (2), 2025)