Publications

Publications

Publications

Journals:

  1. A. Camero, J. Toutouh, J. Ferrer, and E. Alba (2019). Waste generation prediction under uncertainty in smart cities through deep neuroevolution. Revista de Ingeniería (In Pres) doi: 10.17533/udea.redin.20190736.
  2. J. Toutouh, D. G. Rossit, and S. Nesmachnow (2019). Soft computing methods for multiobjective location of garbage accumulation points in smart cities. Annals of Mathematics and Artificial Intelligence (In Pres) doi: 10.1007/s10472-019-09647-5.
  3. D. G. Rossit, S. Nesmachnow, and J. Toutouh (2019). A bi-objective integer programming model for locating garbage accumulation points: a case study. Revista de Ingeniería (In Pres) doi: 10.17533/udea.redin.20190509.
  4. J. Toutouh, J. Arellano, and E. Alba (2018). BiPred: A Bilevel Evolutionary Algorithm for Prediction in Smart Mobility. Sensors, 18(12), 4123. doi: 10.3390/s18124123

Conferences:

  1. Jamal Toutouh, Erik Hemberg, and Una-May O’Reilly. 2019. Spatial Evolutionary Generative Adversarial Networks. In Genetic and Evolutionary Computation Conference (GECCO ’19), July 13–17, 2019, Prague, Czech Republic. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3321707.3321860

Posters:

  1. A System that Scales Robust Generative Adversarial Network Training presented in the MIT College of Computing poster session 2019.
  2. Mustangs: Robust Training of Generative Adversarial Networks by Fostering Diversity presented in the MIT-IBM Watson AI Lab networking and poster reception 2019.
  3. Coevolutionary GANs Training to Foster Diversity presented in the GANocracy: Democratizing GANs 2019.