No photo of Aniko Ekárt
    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    20032019
    If you made any changes in Pure these will be visible here soon.

    Research Output 2003 2019

    Filter
    Conference contribution
    2019

    Accent classification in human speech biometrics for native and non-native english speakers

    Bird, J. J., Wanner, E., Ekárt, A. & Faria, D. R., 5 Jun 2019, Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. ACM, p. 554-560 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Biometrics
    Hidden Markov models
    Speech recognition
    Learning systems
    Acoustic waves

    A Study on Mental State Classification using EEG-based Brain-Machine Interface

    Bird, J., Manso, L. J., Ribeiro, E. P., Ekárt, A. & Faria, D., 8 May 2019, 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings. Martins, J., Jotsov, V., Bierwolf, R., Mendonca, J. P., Jardim-Goncalves, R. & Marques, M. (eds.). IEEE, p. 795-800 6 p. 8710576. (2018 International Conference on Intelligent Systems (IS)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Electroencephalography
    Brain
    Classifiers
    Bayesian networks
    Support vector machines

    Disobedience as a mechanism of change

    Burth Kurka, D., Pitt, J., Lewis, P. R., Patelli, A. & Ekart, A., 15 Jan 2019, Proceedings - 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2018. IEEE, Vol. 2018-September. p. 1-10 10 p. 8613714. ( 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Multi agent systems
    Iron
    Specifications
    Monitoring
    Experiments

    Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology

    Bird, J. J., Ekárt, A., Buckingham, C. D. & Faria, D. R., 23 Jun 2019, Intelligent Computing - Proceedings of the 2019 Computing Conference. Arai, K., Bhatia, R. & Kapoor, S. (eds.). Springer-Verlag Wien, p. 751-762 12 p. (Advances in Intelligent Systems and Computing; vol. 997).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Topology
    Neural networks
    Multilayer neural networks
    Network architecture
    Neurons

    High Resolution Sentiment Analysis by Ensemble Classification

    Bird, J. J., Ekárt, A., Buckingham, C. D. & Faria, D. R., 23 Jun 2019, Intelligent Computing - Proceedings of the 2019 Computing Conference. Arai, K., Bhatia, R. & Kapoor, S. (eds.). Springer-Verlag Wien, p. 593-606 14 p. (Advances in Intelligent Systems and Computing; vol. 997).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Classifiers
    Adaptive boosting
    Multilayer neural networks
    Neural networks

    Increasing genetic programming robustness using simulated dunning-kruger effect

    Griffiths, T. D. & Ekárt, A., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM, p. 340-341 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Genetic programming
    Genetic Programming
    Robustness
    Fitness
    Experiment

    Phoneme aware speech recognition through evolutionary optimisation

    Bird, J. J., Wanner, E., Ekárt, A. & Faria, D. R., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM, p. 362-363 2 p. (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Evolutionary Optimization
    Hidden Markov models
    Speech Recognition
    Speech recognition
    Markov Model

    Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network

    Bird, J. J., Ekárt, A. & Faria, D. R., 30 Aug 2019, Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019. Ju, Z., Zhou, D., Gegov, A., Yang, L. & Yang, C. (eds.). Springer, Vol. 1043. p. 271-282 12 p. (Advances in Intelligent Systems and Computing; vol. 1043).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Speech synthesis
    Speech analysis
    Speech recognition
    Acoustics
    Experiments

    Social Action in Socially Situated Agents

    Barnes, C. M., Ekart, A. & Lewis, P. R., 1 Jun 2019, Proceedings - 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2019. IEEE, Vol. 2019-June. p. 97-106 10 p. 8780530. (2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Fusion reactions

    Tired of Choosing? Just Add Structure and Virtual Reality

    Easton, E., Bernardet, U. & Ekart, A., 27 Mar 2019, Computational Intelligence in Music, Sound, Art and Design - 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Proceedings. Castro Pena, M. L., Ekárt, A. & Liapis, A. (eds.). Springer, Vol. 11453. p. 142-155 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11453 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Virtual Reality
    Evolutionary algorithms
    Virtual reality
    Fatigue of materials
    Interactive Evolutionary Computation
    2018

    Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks

    Golzadeh, H., Faria, D., Manso, L. J., Ekárt, A. & Buckingham, C. D., 26 Sep 2018, Proceedings of the 9th International Conference on Intelligent Systems . 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Communication
    Support vector machines
    Feature extraction
    Classifiers

    Improving the effectiveness of genetic programming using continuous self-adaptation

    Griffiths, T. D. & Ekárt, A., 19 Apr 2018, Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. Springer, Vol. 732. p. 97-102 6 p. (Communications in Computer and Information Science; vol. 732).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Self-adaptation
    Genetic programming
    Genetic Programming
    Benchmark
    Symbolic Regression

    Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System

    Bird, J. J., Ekárt, A. & Faria, D. R., 11 Aug 2018, UK Workshop on Computational Intelligence. Springer, Vol. 840. p. 179-190 (Advances in Computational Intelligence Systems; vol. 840).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Text messaging
    Pattern matching

    Self-adaptive crossover in genetic programming: The case of the tartarus problem

    Griffiths, T. D. & Ekárt, A., 4 Jun 2018, Parallel Problem Solving from Nature – PPSN XV - 15th International Conference, 2018, Proceedings. Springer, p. 236-246 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11101 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Genetic programming
    Genetic Programming
    Evolutionary algorithms
    Crossover
    Self-adaptation

    Synergies between reinforcement learning and evolutionary dynamic optimisation

    Soni, A., Lewis, P. R. & Ekárt, A., 19 Apr 2018, Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. Springer, Vol. 732. p. 91-96 6 p. (Communications in Computer and Information Science; vol. 732).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Evolutionary Dynamics
    Dynamic Optimization
    Evolutionary Optimization
    Reinforcement learning
    Synergy
    2017

    Cardiovascular risk prediction based on retinal vessel analysis using machine learning

    Fathalla, K., Ekárt, A., Seshadri, S. & Gherghel, D., 6 Feb 2017, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. IEEE, p. 880-885 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Vessel
    Learning systems
    Machine Learning
    Prediction
    Oversampling

    Gaining insights into road traffic data through genetic improvement

    Ekárt, A., Patelli, A., Lush, V. & Ilie-Zudor, E., 15 Jul 2017, GECCO '17: proceedings of the Genetic and Evolutionary Computation Conference. New York, NY (US): ACM, p. 1511-1512 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    Highway accidents
    Data mining

    Improving the Tartarus problem as a benchmark in genetic programming

    Griffiths, T. D. & Ekárt, A., 15 Mar 2017, Genetic programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, proceedings. McDermott, J., Castelli, M., Sekanina, L. & et al (eds.). Cham (CH): Springer, p. 278-293 16 p. (Lecture Notes in Computer Science; vol. 10196).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    Genetic programming
    Genetic Programming
    Benchmark
    Empirical Research
    Justification

    Offline and online time in Sequential Decision-Making Problems

    Soni, A., Lewis, P. R. & Ekárt, A., 9 Feb 2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. IEEE, 8 p. 7849961

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Decision making
    Decision Making
    Reinforcement learning
    Dynamic Optimization Problems
    Resource Constraints

    Social and asocial learning in collective action problems: the rise and fall of socially-beneficial behaviour

    Lewis, P. R. & Ekart, A., 12 Oct 2017, Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017. IEEE, p. 91-96 6 p. 8064102

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    Multi agent systems
    Sustainable development
    2016

    Fitness and novelty in evolutionary art

    Vinhas, A., Assuncção, F., Correira, J., Ekárt, A. & Machado, P., 17 Mar 2016, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Johnson, C., Ciesielski, V., Correia, J. & Machado, P. (eds.). Springer, p. 225-240 16 p. (Lecture Notes in Computer Science; vol. 9596).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    Fitness
    Engines
    Engine
    Multiobjective optimization
    Multiobjective Optimization Problems
    2015

    Evolving ambiguous images

    Machado, P., Vinhas, A., Correia, J. & Ekárt, A., 2015, Proceedings of the twenty-fourth International Joint Conference on Artificial Intelligence (IJCAI 2015. International Joint Conferences on Artificial Intelligence, p. 2473-2479 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    Detectors
    Genetic programming
    Learning systems
    Engines

    Two-B or not two-B? Design patterns for hybrid metaheuristics

    Patelli, A., Bencomo, N., Ekart, A., Goldingay, H. & Lewis, P., 11 Jul 2015, GECCO Companion '15 : proceedings of the companion publication of the 2015 annual conference on Genetic and Evolutionary Computation. Silva, S. (ed.). New York, NY (US): ACM, p. 1269-1274 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2014

    Cloud adoption: prioritizing obstacles and obstacles resolution tactics using AHP

    Zardari, S., Bahsoon, R. & Ekárt, A., 24 Mar 2014, SAC '14 : proceedings of the 29th annual ACM Symposium on Applied Computing. New York, NY (US): ACM, p. 1013-1020 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Requirements engineering
    Cloud computing
    Sensitivity analysis
    Costs
    Uncertainty

    Women@GECCO 2014

    O'Reilly, U-M., Esparcia, A., Auger, A., Doerr, C., Ekárt, A. & Ochoa, G., 31 Dec 2014, GECCO Comp '14 : proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. New York, NY (US): ACM, p. 1487-1488 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2013

    Bi-directional double auction for financial market simulation

    Chang, M., He, M., Ekárt, A., Luo, X. & Zhang, S., 6 May 2013, 12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013. ACM, Vol. 2. p. 1313-1314 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Experiments
    Financial markets
    2011

    Preface

    Chio, C. D., Cagnoni, S., Cotta, C., Ebner, M., Ekárt, A., Esparcia-Alcázar, A. I., Merelo, J. J., Neri, F., Preuss, M., Richter, H., Togelius, J. & Yannakakis, G. N., 2011, European Conference on Applications of Evolutionary Computation, EvoApplications 2011 and Workshop on EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC 2011. Springer, Vol. 6624. p. VII-XI (Lecture Notes in Computer Science; vol. 6624).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2009

    Supporting knitwear design using case-based reasoning

    Richards, P. & Ekárt, A., 2009, Competitive design : proceedings of the 19th CIRP design conference. Roy, R. & Shehab, E. (eds.). Cranfield University Press, p. 388-395 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Case based reasoning
    Automation
    2007

    Evolution of lace knitting stitch patterns by genetic programming

    Ekárt, A., 2007, GECCO '07 : proceedings of the 9th annual conference companion on Genetic and evolutionary computation. New York, NY (US): ACM, p. 2457-2461 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Genetic programming
    Evolutionary algorithms
    2003

    Using genetic algorithms for improved discrete sequence prediction

    Ekárt, A., 2003, Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA. Arabnia, H. R., Joshua, R. & Mun, Y. (eds.). CSREA, Vol. 1. p. 475-481 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Genetic algorithms
    Statistics