Search results

• 2023

  Is Beauty in the Age of the Beholder?

  Easton, E., Bernardet, U. & Ekárt, A., 1 Apr 2023, Artificial Intelligence in Music, Sound, Art and Design - 12th International Conference, EvoMUSART 2023, Held as Part of EvoStar 2023, Proceedings: 12th International Conference, EvoMUSART 2023. Johnson, C., Rodríguez-Fernández, N. & Rebelo, S. M. (eds.). p. 84-99 (Lecture Notes in Computer Science; vol. 13988).

  Research output: Chapter in Book/Published conference output › Conference publication

  • Experiments 100%

• Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning

  Hamilton, J. R., Ekárt, A. & Patelli, A., 9 Apr 2023, International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Correia, J., Smith, S. & Qaddoura, R. (eds.). 1 ed. p. 519–535 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13989 LNCS).

  Research output: Chapter in Book/Published conference output › Conference publication

  • Transfer learning 100%
  • Genetic programming 97%
  • Linear algebra 21%
  • Pollution 15%
  • Mathematical operators 15%
• 2022

  A GENTLER Approach to Urban Traffic Modelling and Prediction

  Patelli, A., Hamilton, J. R., Lush, V. & Ekart, A., 23 Jul 2022, 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. IEEE, p. 1-8 8 p. 9870273

  Research output: Chapter in Book/Published conference output › Conference publication

  • Transfer learning 100%
  • Genetic programming 97%
  • Hinges 88%
  • Decision making 60%

• Evolving Neuromodulated Controllers in Variable Environments

  Barnes, C. M., Ekárt, A., Ellefsen, K. O., Glette, K., Lewis, P. R. & Tørresen, J., 5 Jan 2022, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). El-Araby, E., Kalogeraki, V., Pianini, D., Lassabe, F., Porter, B., Ghahremani, S., Nunes, I., Bakhouya, M. & Tomforde, S. (eds.). IEEE, p. 164-169 6 p.

  Research output: Chapter in Book/Published conference output › Conference publication

  • Plasticity 100%
  • Controllers 86%
  • Brain 44%
  • Plastics 39%

• The Virtual Human Breathing Coach

  Dar, S., Ekart, A. & Bernardet, U., 20 Apr 2022, Proceedings of 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW 2022). IEEE, p. 434-436 3 p. (IEEE VRW Proceedings).

  Research output: Chapter in Book/Published conference output › Conference publication

  Open Access

  File

  • Virtual Human 100%
  • Relaxation 42%
  • Human 40%
  • Virtual reality 39%
  • Virtual Reality 25%
• 2021

  Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks

  Easton, E., Ekárt, A. & Bernardet, U., 2 Apr 2021, Artificial Intelligence in Music, Sound, Art and Design - 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Proceedings. Romero, J., Martins, T. & Rodríguez-Fernández, N. (eds.). Springer, p. 115-130 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12693 LNCS).

  Research output: Chapter in Book/Published conference output › Conference publication

  • Aesthetics 100%
  • Range of data 90%
  • Art 89%
  • Style 73%
  • Three-dimension 70%

• Look and listen: A multi-modality late fusion approach to scene classification for autonomous machines

  Bird, J. J., Faria, D. R., Premebida, C., Ekart, A. & Vogiatzis, G., 10 Feb 2021, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. IEEE, p. 10380-10385 6 p. 9341557. (IEEE International Conference on Intelligent Robots and Systems).

  Research output: Chapter in Book/Published conference output › Conference publication

  Open Access

  File

  • Fusion reactions 100%
  • Classifiers 88%
  • Neural networks 37%
  • Image classification 33%
  • Rivers 30%
• 2020

  Co-creating enduring institutions for socio-technical systems: The complementarity of content-based and value-based modelling approaches

  Powers, S. T., Ekárt, A. & Lewis, P. R., 1 Jan 2020, ALIFE 2018 - 2018 Conference on Artificial Life: Beyond AI. MIT, p. 105-106 2 p.

  Research output: Chapter in Book/Published conference output › Conference publication

• Coevolutionary learning of neuromodulated controllers for multi-stage and gamified tasks

  Barnes, C. M., Ekart, A., Ellefsen, K. O., Glette, K., Lewis, P. R. & Torresen, J., 15 Sept 2020, Proceedings - 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2020. El-Araby, E., Tomforde, S., Wood, T., Kumar, P., Raibulet, C., Petri, I., Valentini, G., Nelson, P. & Porter, B. (eds.). IEEE, p. 129-138 10 p. 9196458. (Proceedings - 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2020).

  Research output: Chapter in Book/Published conference output › Conference publication

  • Controller 100%
  • Learning 95%
  • Controllers 56%
  • Neural Networks 39%
  • Context 38%

• From Simulation to Reality: CNN Transfer Learning for Scene Classification

  Bird, J. J., Faria, D. R., Ekart, A. & Ayrosa, P. P. S., 18 Sept 2020, 2020 IEEE 10th International Conference on Intelligent Systems, IS 2020 - Proceedings. Sgurev, V., Jotsov, V., Kruse, R. & Hadjiski, M. (eds.). IEEE, p. 619-625 7 p. 9199968. (2020 IEEE 10th International Conference on Intelligent Systems, IS 2020 - Proceedings).

  Research output: Chapter in Book/Published conference output › Conference publication

  • Transfer Learning 100%
  • Transfer learning 63%
  • Machine Learning 60%
  • Datasets 42%
  • Psychology Transfer 37%

• Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction

  Ekárt, A., Patelli, A., Lush, V. & Ilie-Zudor, E., 3 Sept 2020, 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. IEEE, 9185880

  Research output: Chapter in Book/Published conference output › Conference publication

  • Urban Traffic 100%
  • Transfer Learning 98%
  • Traffic Modeling 86%
  • Genetic Programming 72%
  • Transfer learning 62%

• Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN

  Bird, J. J., Faria, D. R., Premebida, C., Ekart, A. & Ayrosa, P. P. S., 19 May 2020, 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2020. Lau, N., Silva, M. F., Reis, L. P. & Cascalho, J. (eds.). IEEE, p. 146-151 6 p. 9096166

  Research output: Chapter in Book/Published conference output › Conference publication

  • Speaker Identification 100%
  • Augmentation 57%
  • Synthetic Data 38%
  • Character 37%
  • Speech 31%
• 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/Published conference output › Conference publication

  • Biometrics 100%
  • Hidden Markov models 51%
  • Long short-term memory 29%
  • Random forests 26%
  • Learning systems 25%

• 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/Published conference output › Conference publication

  • Electroencephalography 100%
  • Brain 85%
  • Classifiers 48%
  • Random forests 36%
  • Bayesian networks 35%

• 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/Published conference output › Conference publication

  • Multi agent systems 100%
  • Iron 95%
  • Specifications 68%
  • Monitoring 59%
  • Experiments 37%

• 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, p. 751-762 12 p. (Advances in Intelligent Systems and Computing; vol. 997).

  Research output: Chapter in Book/Published conference output › Conference publication

  • Population Density 100%
  • Topology 55%
  • Neural networks 49%
  • Multilayer neural networks 42%
  • Network architecture 38%

• 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, p. 593-606 14 p. (Advances in Intelligent Systems and Computing; vol. 997).

  Research output: Chapter in Book/Published conference output › Conference publication

  • Sentiment analysis 100%
  • Classifiers 63%
  • Adaptive boosting 35%
  • Random forests 31%
  • Multilayer neural networks 30%

• 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/Published conference output › Conference publication

  • Genetic Programming 100%
  • Genetic programming 83%
  • Robustness 59%
  • Dynamic Environment 56%
  • Fitness 40%

• 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/Published conference output › Conference publication

  • Evolutionary Optimization 100%
  • Speech Recognition 99%
  • Markov Model 70%
  • Hidden Markov models 66%
  • Speech recognition 61%

• 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/Published conference output › Conference publication

  • Speech synthesis 100%
  • Transfer learning 98%
  • Speech analysis 64%
  • Speech recognition 12%
  • Acoustics 11%

• 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/Published conference output › Conference publication

  • Fusion reactions 100%

• 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/Published conference output › Conference publication

  Open Access

  File

  • Virtual Reality 100%
  • Evolutionary algorithms 54%
  • Virtual reality 52%
  • Fatigue of materials 40%
  • Interactive Evolutionary Computation 31%
• 2018

  Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks

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

  Research output: Chapter in Book/Published conference output › Conference publication

  • Communication 100%
  • Support vector machines 53%
  • Feature extraction 51%
  • Classifiers 46%

• Improving the effectiveness of genetic programming using continuous self-adaptation

  Griffiths, T. D. & Ekárt, A., 19 Apr 2018, (E-pub ahead of print) 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/Published conference output › Conference publication

  • Self-adaptation 100%
  • Genetic Programming 82%
  • Genetic programming 68%
  • Benchmark 23%
  • Symbolic Regression 18%

• 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, (E-pub ahead of print) UK Workshop on Computational Intelligence. Springer, Vol. 840. p. 179-190 (Advances in Computational Intelligence Systems; vol. 840).

  Research output: Chapter in Book/Published conference output › Conference publication

  • Text messaging 100%
  • Pattern matching 71%

• 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/Published conference output › Conference publication

  • Genetic Programming 100%
  • Crossover 83%
  • Genetic programming 83%
  • Evolutionary algorithms 65%
  • Performance 42%

• Synergies between reinforcement learning and evolutionary dynamic optimisation

  Soni, A., Lewis, P. R. & Ekárt, A., 19 Apr 2018, (E-pub ahead of print) 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/Published conference output › Conference publication

  • Evolutionary Optimization 100%
  • Reinforcement Learning 97%
  • Synergy 97%
  • Dynamic Optimization 93%
  • Evolutionary Dynamics 89%
• 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/Published conference output › Conference publication

  • Vessel 100%
  • Machine Learning 90%
  • Prediction 65%
  • Machine learning 60%
  • Oversampling 23%

• 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/Published conference output › Conference publication

  Open Access

  File

  • Accidents 100%
  • Open access 99%
  • Data Mining 87%
  • Traffic 84%
  • Highway accidents 84%

• Improving the Tartarus problem as a benchmark in genetic programming

  Griffiths, T. D. & Ekárt, A., 15 Mar 2017, (E-pub ahead of print) 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/Published conference output › Conference publication

  Open Access

  File

  • Genetic Programming 100%
  • Genetic programming 83%
  • Benchmark 70%
  • Empirical Research 15%
  • Guidance 11%

• 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/Published conference output › Conference publication

  • Sequential Decision Making 100%
  • Decision Making 70%
  • Decision making 50%
  • Dynamic Optimization 29%
  • Reinforcement Learning 29%

• 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/Published conference output › Conference publication

  Open Access

  File

  • Social Learning 100%
  • Learning 46%
  • Socio-technical Systems 25%
  • Resources 23%
  • Self-organizing Systems 21%
• 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/Published conference output › Conference publication

  Open Access

  File

  • Art 100%
  • Fitness 92%
  • Engine 69%
  • Engines 52%
  • Multiobjective optimization 38%
• 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/Published conference output › Conference publication

  Open Access

  • Detectors 100%
  • Genetic programming 49%
  • Machine learning 31%
  • Engines 27%

• 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/Published conference output › Conference publication
• 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/Published conference output › Conference publication

  • Requirements engineering 100%
  • Sensitivity analysis 76%
  • Cloud computing 75%
  • Costs 65%
  • Uncertainty 54%

• 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/Published conference output › Conference publication
• 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/Published conference output › Conference publication

  • Financial markets 100%
  • Experiments 29%
• 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/Published conference output › Conference publication
• 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/Published conference output › Conference publication

  • Case based reasoning 100%
  • Automation 21%
• 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/Published conference output › Conference publication

  • Genetic programming 100%
  • Evolutionary algorithms 79%
• 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/Published conference output › Conference publication

  • Statistics 100%
  • Genetic algorithms 94%