João Nuno Correia

João Correia, is an Assistant Professor at the University of Coimbra and a researcher of the Computational Design and Visualization Lab. and member of the Evolutionary and Complex Systems (ECOS) of the Centre for Informatics and Systems of the same university. Formerly, he was also an Invited Assistant at the Lusófona University of Lisbon and at Invited Assistant at Polytechnic Institute of Coimbra. He holds a PhD in Information Science and Technology from the University of Coimbra and also holds a MSc and BS in Informatics Engineering from the same university. His main research interests include Evolutionary Computation, Machine Learning, Pattern Recognition, Computer Vision and Computational Creativity. He is involved in different international program committees of International conferences of the area of Evolutionary Computation, Artificial Intelligence and Computational Art and Creativity and reviewer for different conferences and journals for the mentioned areas, namely GECCO and EvoStar. He was also publicity chair and chair of the International Conference of Evolutionary Art Music and Design conference and he is currently the publication chair for EvoStar - The Leading European Event on Bio‑Inspired Computation. Furthermore, he has authored and co-authored several articles on the different International Conferences and journals on Artificial Intelligence and Evolutionary Computation and is involved in national and international projects in the areas of Evolutionary Computation, Machine Learning, Data Science and Computational Creativity.

Email: jncor@dei.uc.pt
ORCID: 0000-0001-5562-1996
Google Scholar: link

Related projects

04/06/2020

Ȧdea – Evolving glyphs for aiding creativity in graphic design

21/05/2020

New video about Portraits of No One

13/02/2020

Portraits of No One

24/07/2019

AlticeVis – Study and Visualisation of Urban Mobility

28/04/2019

Best Poster Award @ EvoStar 2019

23/04/2019

Emojinating: Visually Representing Concepts Using Emoji

01/04/2018

Evotype: Towards the Evolution of Type Stencils

28/06/2017

X-Faces

07/08/2015

Evolving Ambiguous Images

28/02/2013

SBIRC — Style Based Image Retrieval and Classification

16/10/2012

Evolutionary Computation for Classifier Assessment and Improvement

Articles

  • P. Xiao, H. Toivonen, O. Gross, A. Cardoso, J. Correia, P. Machado, P. Martins, H. G. Oliveira, R. Sharma, A. M. Pinto, A. Díaz, V. Francisco, P. Gervás, R. Hervás, C. León, J. Forth, M. Purver, G. A. Wiggins, D. Miljković, V. Podpečan, S. Pollak, J. Kralj, M. Žnidaršič, M. Bohanec, N. Lavrač, T. Urbančič, F. V. D. Velde, and S. Battersby, “Conceptual Representations for Computational Concept Creation,” ACM Computing Surveys, vol. 52, iss. 1, p. 9:1—-9:33, 2019.

  • F. Assuncao, J. Correia, R. Conceicao, M. J. M. Pimenta, B. Tome, N. Lourenco, and P. Machado, “Automatic Design of Artificial Neural Networks for Gamma-Ray Detection,” IEEE Access, vol. 7, pp. 110531-110540, 2019.

  • A. Carballal, A. Santos, J. Romero, P. Machado, J. Correia, and L. Castro, “Distinguishing paintings from photographs by complexity estimates,” Neural Computing and Applications, 2016.

  • P. Machado, J. Romero, M. Nadal, A. Santos, J. Correia, and A. Carballal, “Computerized measures of visual complexity,” Acta Psychologica, vol. 160, iss. 1, pp. 43-57, 2015.

  • P. Machado, A. Vinhas, J. Correia, and A. Ekárt, “Evolving Ambiguous Images,” AI Matters, vol. 2, iss. 1, pp. 7-8, 2015.

  • A. Carballal, M. L. C. Pena, R. Perez, and J. Correia, “Detecting Bias on Aesthetic Image Datasets,” International Journal of Creative Interfaces and Computer Graphics, vol. 5, iss. 2, pp. 62-74, 2014.

In Collections

  • V. Costa, N. Lourenço, J. Correia, and P. Machado, “Neuroevolution of Generative Adversarial Networks,” in Natural Computing Series, Springer Singapore, 2020, pp. 293-322.

  • J. Correia, P. Machado, J. Romero, P. Martins, and F. {Amílcar Cardoso}, “Breaking the Mould An Evolutionary Quest for Innovation Through Style Change,” in Computational Creativity – The Philosophy and Engineering of Autonomously Creative Systems, 1 ed., n/a: Springer, 2019, vol. 1, pp. 353-398.

  • P. Machado, J. Correia, and F. Assunção, “Graph-Based Evolutionary Art,” in Handbook of Genetic Programming Applications, A. H. Gandomi, A. H. Alavi, and C. Ryan, Eds., Cham: Springer International Publishing, 2015, pp. 3-36.

  • J. Romero, P. Machado, A. Carballal, and J. Correia, “Computing Aesthetics with Image Judgement Systems,” in Computers and Creativity, J. McCormack and M. d’Inverno, Eds., Springer Berlin Heidelberg, 2012, pp. 295-322.

In Proceedings

  • J. Correia, F. Ferreira, and C. Maçãs, “Cable-Stayed Bridge Optimization Solution Space Exploration,” in Genetic and Evolutionary Computation Conference Companion (GECCO ’20 Companion), July 8–12, 2020, Cancún, Mexico, 2020.

  • V. Costa, N. Lourenço, J. Correia, and P. Machado, “Using Skill Rating as Fitness on the Evolution of GANs,” in Applications of Evolutionary Computation – 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings, 2020, pp. 562-577.

  • P. Fernandes, J. Correia, and P. Machado, “Evolutionary Latent Space Exploration of Generative Adversarial Networks,” in Applications of Evolutionary Computation – 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings, 2020, pp. 595-609.

  • J. Correia and F. Ferreira, “Designing Cable-Stayed Bridges with Genetic Algorithms,” in Applications of Evolutionary Computation, Cham, 2020, pp. 228-243.

  • V. Costa, N. Lourenço, J. Correia, and P. Machado, “COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks,” in GECCO 2019 – Proceedings of the 2019 Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 2019.

  • J. Correia, T. Martins, and P. Machado, “Evolutionary Data Augmentation in Deep Face Detection,” in GECCO 2019 – Proceedings of the 2019 Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 2019.

  • A. C. Cardoso, P. Martins, F. Assunção, J. Correia, and P. Machado, “A Distributed Approach to Computational Creativity,” in Intelligent Distributed Computing IX, 2016, pp. 3-12.

  • T. Martins, J. Correia, E. Costa, and P. Machado, “Evotype: From Shapes to Glyphs,” in Proceedings of the Genetic and Evolutionary Computation Conference 2016, New York, NY, USA, 2016, pp. 261-268.

  • J. Correia, T. Martins, P. Martins, and P. Machado, “X-Faces: The eXploit Is Out There,” in Proceedings of the Seventh International Conference on Computational Creativity (ICCC 2016), 2016, pp. 164-182.

  • A. Vinhas, F. Assunção, J. Correia, A. Ekárt, and P. Machado, “Fitness and Novelty in Evolutionary Art,” in Evolutionary and Biologically Inspired Music, Sound, Art and Design – 5th International Conference, EvoMUSART 2016, Porto, Portugal, March 30 – April 1, 2016, Proceedings, 2016, pp. 225-240.

  • P. Machado, A. Vinhas, J. Correia, and A. Ekárt, “Evolving Ambiguous Images,” in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015, pp. 2473-2479.

  • F. Assunção, J. Correia, P. Martins, and P. Machado, “Evolving Families of Shapes,” in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015, pp. 4134-4135.

  • T. Martins, J. Correia, E. Costa, and P. Machado, “Evotype: Evolutionary Type Design,” in Evolutionary and Biologically Inspired Music, Sound, Art and Design – 4th International Conference, EvoMUSART 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings, 2015, pp. 136-147.

  • P. Machado and J. Correia, “Semantic Aware Methods for Evolutionary Art,” in Genetic and Evolutionary Computation Conference, GECCO ’14, Vancouver, BC, Canada, July 12-16, 2014. Proceedings, 2014.

  • J. Correia and P. Machado, “Semantic Operators for Evolutionary Art,” in Semantic Methods in Genetic Programming (SMGP) Workshop at Parallel Problem Solving from Nature 2014 conference Ljubljana, Slovenia, 13 September 2014; Organizers: Colin Johnson, Krzysztof Krawiec, Alberto Moraglio and Michael O’Neill., n/a, 2014.

  • J. Correia, P. Machado, J. Romero, and A. Carballal, “Feature Selection and Novelty in Computational Aesthetics,” in Evolutionary and Biologically Inspired Music, Sound, Art and Design – Second International Conference, EvoMUSART 2013, Vienna, Austria, April 3-5, 2013. Proceedings, 2013, pp. 133-144.

  • J. Correia, P. Machado, J. Romero, and A. Carballal, “Evolving Figurative Images Using Expression-Based Evolutionary Art,” in Proceedings of the fourth International Conference on Computational Creativity (ICCC), 2013, pp. 24-31.

  • P. Machado, J. Correia, and J. Romero, “Improving Face Detection,” in Genetic Programming – 15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings, 2012, pp. 73-84.

  • P. Machado, J. Correia, and J. Romero, “Expression-Based Evolution of Faces,” in Evolutionary and Biologically Inspired Music, Sound, Art and Design – First International Conference, EvoMUSART 2012, Málaga, Spain, April 11-13, 2012. Proceedings, 2012, pp. 187-198.

  • J. Correia, P. Machado, and J. Romero, “Improving haar cascade classifiers through the synthesis of new training examples,” in Genetic and Evolutionary Computation Conference, GECCO ’12, Philadelphia, PA, USA, July 7-11, 2012, Companion Material Proceedings, 2012, pp. 1479-1480.

Dissertations

  • J. Correia, “Evolutionary Computation for Classifier Assessment and Improvement,” PhD Thesis, 2018.