Anikó Ekárt

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 59

Top Topics

Transfer Learning

Random Number Generators

Evolutionary Algorithm

Top Venues

GECCO (Companion)

Publications

Edward Easton, Ulysses Bernardet, Anikó Ekárt
Modelling Individual Aesthetic Preferences of 3D Sculptures. EvoMUSART (2024)
Edward Easton, Ulysses Bernardet, Anikó Ekárt
Is Beauty in the Age of the Beholder? EvoMUSART@EvoStar (2023)
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) (2023)
Edward Easton, Ulysses Bernardet, Anikó Ekárt
Contributors to the aesthetic judgement of 3D virtual sculptures. ARTECH (2023)
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) (2023)
Goodluck Oguzie, Anikó Ekárt, Luis J. Manso
Predictive World Models for Social Navigation. UKCI (2023)
Jacob Schrum, Jialin Liu, Cameron Browne, Anikó Ekárt, Marcus Gallagher
Guest Editorial: Special Issue on Evolutionary Computation for Games. IEEE Trans. Games 15 (1) (2023)
Jodie Ashford, Anikó Ekárt, Felipe Campelo
Estimating the Limits of Organism-Specific Training for Epitope Prediction. BIBM (2023)
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)
Edward Easton, Anikó Ekárt, Ulysses Bernardet
Axial Generation: Mixing Colour and Shapes to Automatically Form Diverse Digital Sculptures. SN Comput. Sci. 3 (6) (2022)
Sanobar Dar, Anikó Ekárt, Ulysses Bernardet
The Virtual Human Breathing Coach. VR Workshops (2022)
Alina Patelli, John Rego Hamilton, Victoria Lush, Anikó Ekárt
A GENTLER Approach to Urban Traffic Modelling and Prediction. CEC (2022)
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 (2021)
Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen
Evolving Neuromodulated Controllers in Variable Environments. ACSOS (2021)
Anikó Ekárt, Anna Isabel Esparcia-Alcázar
Editorial for the Topical Issue "Evolution, the New AI Revolution". SN Comput. Sci. 2 (6) (2021)
Edward Easton, Anikó Ekárt, Ulysses Bernardet
Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks. EvoMUSART (2021)
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) (2021)
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) (2020)
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 (2020)
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)
Anikó Ekárt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor
Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction. CEC (2020)
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 (2020)
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 (2020)
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)
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 (2020)
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 (2020)
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)
Alina Patelli, Victoria Lush, Anikó Ekárt, Elisabeth Ilie Zudor
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data. CoRR (2020)
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) (2020)
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 (2020)
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) (2020)
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) (2020)
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)
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)
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 (2019)
Thomas D. Griffiths, Anikó Ekárt
Increasing genetic programming robustness using simulated dunning-kruger effect. GECCO (Companion) (2019)
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. CoRR (2019)
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) (2019)
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)
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 (2019)
Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria
Phoneme aware speech recognition through evolutionary optimisation. GECCO (Companion) (2019)
Edward Easton, Ulysses Bernardet, Anikó Ekárt
Tired of Choosing? Just Add Structure and Virtual Reality. EvoMUSART (2019)
Chloe M. Barnes, Anikó Ekárt, Peter R. Lewis
Social Action in Socially Situated Agents. SASO (2019)
David Burth Kurka, Jeremy Pitt, Peter R. Lewis, Alina Patelli, Anikó Ekárt
Disobedience as a Mechanism of Change. SASO (2018)
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)
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)
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)
Thomas D. Griffiths, Anikó Ekárt
Self-adaptive Crossover in Genetic Programming: The Case of the Tartarus Problem. PPSN (1) (2018)
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System. UKCI (2018)
Karma M. Fathalla, Anikó Ekárt, Doina Gherghel
Partially Lazy Classification of Cardiovascular Risk via Multi-way Graph Cut Optimization. KES (2018)
Simon T. Powers, Anikó Ekárt, Peter R. Lewis
Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches. Cogn. Syst. Res. 52 (2018)
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) (2017)
Anikó Ekárt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor
Gaining insights into road traffic data through genetic improvement. GECCO (Companion) (2017)
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)
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) (2017)
Thomas D. Griffiths, Anikó Ekárt
Improving the Tartarus Problem as a Benchmark in Genetic Programming. EuroGP (2017)
Aman Soni, Peter R. Lewis, Anikó Ekárt
Offline and online time in Sequential Decision-Making Problems. SSCI (2016)
Adriano Vinhas, Filipe Assunção, João Correia, Anikó Ekárt, Penousal Machado
Fitness and Novelty in Evolutionary Art. EvoMUSART (2016)
Karma M. Fathalla, Anikó Ekárt, Swathi Seshadri, Doina Gherghel
Cardiovascular risk prediction based on Retinal Vessel Analysis using machine learning. SMC (2016)
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)
Penousal Machado, Adriano Vinhas, João Correia, Anikó Ekárt
Evolving Ambiguous Images. IJCAI (2015)
Penousal Machado, Adriano Vinhas, João Correia, Anikó Ekárt
Evolving ambiguous images. AI Matters 2 (1) (2015)
Una-May O'Reilly, Anna Esparcia-Alcázar, Anne Auger, Carola Doerr, Anikó Ekárt, Gabriela Ochoa
Women@GECCO 2014. GECCO (Companion) (2014)
Anikó Ekárt
Emergence in genetic programming - Let's exploit it! Genet. Program. Evolvable Mach. 15 (1) (2014)
Shehnila Zardari, Rami Bahsoon, Anikó Ekárt
Cloud adoption: prioritizing obstacles and obstacles resolution tactics using AHP. SAC (2014)
Meng Chang, Minghua He, Anikó Ekárt, Xudong Luo, Shichao Zhang
Bi-directional double auction for financial market simulation. AAMAS (2013)
John Rego Hamilton, Anikó Ekárt, Alina Patelli
Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning. EvoApplications@EvoStar (2013)
András Joó, Anikó Ekárt, Juan Pablo Neirotti
Genetic Algorithms for Discovery of Matrix Multiplication Methods. IEEE Trans. Evol. Comput. 16 (5) (2012)
Anikó Ekárt, Divya Sharma, Stayko Chalakov
Modelling Human Preference in Evolutionary Art. EvoApplications (2) (2011)
Zsolt Jankó, Dmitry Chetverikov, Anikó Ekárt
Using Genetic Algorithms in Computer Vision: Registering Images to 3D Surface Model. Acta Cybern. 18 (2) (2007)
Anikó Ekárt
Evolution of lace knitting stitch patterns by genetic programming. GECCO (Companion) (2007)
Anikó Ekárt
Genetic Programming for the Design of Lace Knitting Stitch Patterns. SGAI Conf. (Applications) (2007)
Evgeny Lomonosov, Dmitry Chetverikov, Anikó Ekárt
Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm. Pattern Recognit. Lett. 27 (11) (2006)
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) (2006)
Anikó Ekárt, Sándor Zoltán Németh
Stability analysis of tree structured decision functions. Eur. J. Oper. Res. 160 (3) (2005)
Steven M. Gustafson, Anikó Ekárt, Edmund K. Burke, Graham Kendall
Problem Difficulty and Code Growth in Genetic Programming. Genet. Program. Evolvable Mach. 5 (3) (2004)
Anikó Ekárt, Steven M. Gustafson
A Data Structure for Improved GP Analysis via Efficient Computation and Visualisation of Population Measures. EuroGP (2004)
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) (2003)
Gábor Renner, Anikó Ekárt
Genetic algorithms in computer aided design. Comput. Aided Des. 35 (8) (2003)
Anikó Ekárt, Sándor Zoltán Németh
Maintaining the Diversity of Genetic Programs. EuroGP (2002)
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) (2001)
Anikó Ekárt, Sándor Zoltán Németh
A noncontinuous generalization of the arithmetic-geometric mean. Appl. Math. Comput. 124 (2) (2001)
Anikó Ekárt, Sándor Zoltán Németh
A Metric for Genetic Programs and Fitness Sharing. EuroGP (2000)
Anikó Ekárt
Shorter Fitness Preserving Genetic Programs. Artificial Evolution (1999)