| Modeling oil-spill detection with multirotor systems based on multi-agent systems P Chamoso, A Pérez, S Rodríguez, JM Corchado, M Sempere, R Rizo, ... 17th International conference on information fusion (FUSION), 1-8, 2014 | 35 | 2014 |
| Modelling the thermal behaviour of a building facade using deep learning F Aznar, V Echarri, C Rizo, R Rizo PloS one 13 (12), e0207616, 2018 | 34 | 2018 |
| Modelling oil-spill detection with swarm drones F Aznar, M Sempere, M Pujol, R Rizo, MJ Pujol Abstract and Applied Analysis 2014, 2014 | 32 | 2014 |
| Modelling multi-rotor UAVs swarm deployment using virtual pheromones F Aznar, M Pujol, R Rizo, C Rizo PloS one 13 (1), e0190692, 2018 | 22 | 2018 |
| Investigación e Innovación Educativa en Docencia Universitaria. Retos, Propuestas y Acciones R Roig-Vila, JEB Mira, AL Carreres, JFT Alfosea Universidad de Alicante, 2016 | 15 | 2016 |
| Obtaining fault tolerance avoidance behavior using deep reinforcement learning F Aznar, M Pujol, R Rizo Neurocomputing 345, 77-91, 2019 | 14 | 2019 |
| Energy-efficient swarm behavior for indoor uav ad-hoc network deployment F Aznar, M Pujol, R Rizo, FA Pujol, C Rizo Symmetry 10 (11), 632, 2018 | 14 | 2018 |
| A swarm behaviour for jellyfish bloom detection F Aznar, M Pujol, R Rizo Ocean Engineering 134, 24-34, 2017 | 13 | 2017 |
| Calvillomoreno, edgar a. 1 camacho, david 371, 379 campos, c. 77 J Aalmink, D Adzinets, J Agüero, F Alayón, L Alonso, N Alonso, ... Advances in Intelligent and Soft Computing 71 (100), 731, 2010 | 13 | 2010 |
| Aprendiendo mediante juegos: Experiencia de una competición de juegos inteligentes O Colomina, P Compañ, R Satorre, F Aznar, P Suau, R Rizo X Jornadas de Enseñanza Universitaria de la Informática, 513-151, 2004 | 11 | 2004 |
| Visual navigation for UAV with map references using ConvNets F Aznar, M Pujol, R Rizo Conference of the Spanish Association for Artificial Intelligence, 13-22, 2016 | 10 | 2016 |
| ABPgame: un videojuego como proyecto de aprendizaje coordinado para varias asignaturas F Llorens, R Molina, FJ Gallego, C Villagrá, F Aznar II Congreso Internacional sobre Aprendizaje, Innovación y Competitividad …, 2013 | 9 | 2013 |
| L-system-driven self-assembly for swarm robotics F Aznar, M Pujol, R Rizo Conference of the Spanish Association for Artificial Intelligence, 303-312, 2011 | 8 | 2011 |
| Agents for swarm robotics: Architecture and implementation F Aznar, M Sempere, FJ Mora, P Arques, JA Puchol, M Pujol, R Rizo Highlights in Practical Applications of Agents and Multiagent Systems: 9th …, 2011 | 8 | 2011 |
| Obtaining a bayesian map for data fusion and failure detection under uncertainty F Aznar, M Pujol, R Rizo Innovations in Applied Artificial Intelligence: 18th International …, 2005 | 8 | 2005 |
| Numerical resolution of Emden's equation using Adomian polynomials M Jose Pujol, FA Pujol, F Aznar, M Pujol, R Rizo International Journal of Numerical Methods for Heat & Fluid Flow 23 (6 …, 2013 | 7 | 2013 |
| Using gaussian processes in bayesian robot programming F Aznar, FA Pujol, M Pujol, R Rizo International Work-Conference on Artificial Neural Networks, 547-553, 2009 | 7 | 2009 |
| Learning a swarm foraging behavior with microscopic fuzzy controllers using deep reinforcement learning F Aznar, M Pujol, R Rizo Applied Sciences 11 (6), 2856, 2021 | 6 | 2021 |
| Swarm AGV optimization using deep reinforcement learning P Arques Corrales, F Aznar Gregori Proceedings of the 2020 3rd International Conference on Machine Learning and …, 2020 | 6 | 2020 |
| Learning probabilistic features for robotic navigation using laser sensors F Aznar, FA Pujol, M Pujol, R Rizo, MJ Pujol Plos one 9 (11), e112507, 2014 | 5 | 2014 |
Mar PujolProfesora Informática Universidad de AlicanteVerified email at dccia.ua.es
