Bellas Bouza, Francisco Javier

  • Titulación Doctor en Informática
  • Categoría Socio fundador, Catedrático de Universidad
  • Teléfonos 34881013886
  • Email
  • Departamento Computación

Líneas de investigación

Publicaciones representativas
  • Francisco Bellas Bouza, Explainable artificial intelligence and its key role in education. Promoting critical thinking and autonomy in the classroom, Mètode Science Studies Journal, 2025
  • Javier Ortega-Morla, Antonio Leis, Alma Mallo, Laura Morán-Fernández, Sara Guerreiro, Alejandro Paz-López, Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, Alejandro Rodríguez-Arias, Oscar Fontenla-Romero, Francisco Bellas, ProgTutor: A robotic-based framework to support teaching and learning of programming fundamentals., IEEE Transactions on Learning Technologies, pp 783 - 797, 2025
  • Francisco Bellas Bouza, Educar para la inteligencia artificial: Un enfoque en perspectiva, Educación e Inteligencia Artificial: Horizontes de transformación, pp 29 - 48, 2024
  • Abraham Prieto, Advancing Robotics Education: Integrating Large Language Models for Natural Language Programming in VET, Intelligent Data Engineering and Automated Learning – IDEAL 2024, pp 517 - 528, 2024
  • Francisco Javier Bella Bouza, Martín Naya Varela, Alma Mallo Casdelo, Alejandro Paz Lopez, Education in the AI era: a long-term classroom technology based on intelligent robotics, Humanities and Social Sciences Communications, 2024
  • Alejandro Romero, Francisco Bellas, Richard Duro, A Perspective on Lifelong OpenEnded Learning Autonomy for Robotics through Cognitive Architectures, Sensors, 2023
  • Guerreiro-Santalla, S., Duraes, D., Crompton, H., Novais, P., & Bellas, F, Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School., 22nd EPIA Conference on Artificial Intelligence, 2023
  • M. NayaVarela, S. GuerreiroSantalla, T. Baamonde and F. Bellas, Robobo SmartCity An Autonomous Driving Model for Computational Intelligence Learning through Educational Robotics, IEEE Transactions on Learning Technologies, pp 543 - 559, 2023
  • Abraham Prieto, Sara Guerreiro, Francisco Bellas, AIM@VET: Tackling Equality on Employment Opportunities Through a Formal and Open Curriculum About AI, Proceedings ICEUTE 2023, pp 228 - 237, 2023
  • Guerreiro-Santalla, Sara; Crompton, Helen; Bellas, Francisco, RoboboITS: A Simulation-Based Tutoring System to Support AI Education Through Robotics., The 24th International Conference on Artificial Intelligence in Education, pp 396 - 402, 2023
  • Alejandro Romero Francisco Bellas José Antonio Becerra Richard Duro, Towards Efficient Knowledge Reuse for Openended Learning in Real Robots through Motivation, 2023 International Joint Conference on Neural Networks (IJCNN), pp 1 - 7, 2023
  • Francisco Bellas Sara GuerreiroSantalla Martin Naya and Richard J Duro, AI Curriculum for European High Schools An Embedded Intelligence Approach, International Journal of Artificial Intelligence in Education, pp 399 - 426, 2023
  • Alejandro Romero Blaz Meden Francisco Bellas Richard Duro, Using perceptual classes to dream policies in openended learning robotics, Integrated Computer-Aided Engineering, 2023
  • Romero A Blaz M Bellas F Duro RJ, Using perceptual classes to dream policies in openended learning robotics, Integrated Computer-Aided Engineering, pp 205 - 222, 2023
  • Francisco J. Bellas Bouza y Alma Mallo Casdelo, Robótica autónoma móvil, Robótica autónoma móvil, 2022
  • Romero A Piater J Bellas F Duro RJ, ANN based Representation Learning in a Lifelong Openended Learning Cognitive Architecture, Proceedings of the International Joint Conference on Neural Networks 2022, pp 1 - 8, 2022
  • Sara GuerreiroSantalla Oscar FontenlaRomero Alejandro Romero Francisco Bellas, Introducción a la representación del conocimiento y el razonamiento en educación preuniversitaria, Actas XXVIII Jornadas sobre la Enseñanza Universitaria de la Informática, pp 255 - 262, 2022
  • Alejandro Romero Blaz Meden Francisco Bellas and Richard J Duro, Autonomous Knowledge Representation for Efficient Skill Learning in Cognitive Robots, Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, pp 253 - 263, 2022
  • Sara GuerreiroSantalla Alma Mallo Tamara Baamonde Francisco Bellas, SmartphoneBased Game Development to Introduce K12 Students in Applied Artificial Intelligence, Proceedings of 36th AAAI Conference on Artificial Intelligence, pp 12758 - 12765, 2022
  • Becerra J A Romero A Bellas F Duro R J, Motivational Engine and Long Term Memory Coupling within a Cognitive Architecture for Lifelong Openended Learning, Neurocomputing, pp 341 - 354, 2021
  • Oscar Fontenla Romero Francisco Bellas Noelia SánchezMaroño José Antonio Becerra, Learning by Doing in Higher Education An Experience to Increase Selflearning and Motivation in First Courses, Proceedings CISIS 2021 and ICEUTE 2021, pp 336 - 345, 2021
  • Sara GuerreiroSantalla Francisco Bellas Óscar FontenlaRomero, The School Path Guide A Practical Introduction to Representation and Reasoning in AI for High School Students, Conference proceedings Artificial Intelligence in Education 2021, pp 88 - 92, 2021
  • A. Rodríguez-Jiménez, J. Becerra-Permuy, F. Bellas, E. Arias-Méndez, Deep Learning application to learn models in Cognitive Robotics, Proceedings 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), pp 15 - 20, 2020
  • Blaz Meden, Abraham Prieto, Peter Peer, Francisco Bellas, First Steps Towards State Representation Learning for Cognitive Robotics, Proceedings HAIS 2020, Lecture Notes in Artificial Intelligence, pp 1 - 12, 2020
  • Alejandro Romero, Francisco Bellas, Abraham Prieto, Richard J. Duro, Developmental Learning of Value Functions in a Motivational System for Cognitive Robotics, 2020 International Joint Conference on Neural Networks (IJCNN), pp 1 - 8, 2020
  • Esteban A. Esquivel-Barboza, Luis F. Llamas, Pablo Vázquez, Francisco Bellas, Esteban Arias-Méndez, Adapting Computer Vision Algorithms to Smartphone-based Robot for Education, Proceedings MCNA 2020, pp 1 - 1, 2020
  • Alejandro Romero, Francisco Bellas, José A. Becerra, Richard J. Duro, Motivation as a tool for designing lifelong learning robots, Integrated Computer-Aided Engineering, pp 353 - 372, 2020
  • Alejandro Romero, Francisco Bellas, José A. Becerra, Richard J. Duro, Bootstrapping Autonomous Skill Learning in the MDB Cognitive Architecture, Lecture Notes in Computer Science, pp 120 - 129, 2019
  • Alejandro Romero, Francisco Bellas, Jose A. Becerra, Richard J. Duro, Producing Parameterized Value Functions through Modulation for Cognitive Developmental Robots, Proceedings ROBOT 2019: Fourth Iberian Robotics Conference, pp 1 - 12, 2019
  • Alejandro Romero, José A. Becerra, Francisco Bellas, Richard J. Duro, Modulation Based Transfer Learning of Motivational Cues in Developmental Robotics, Proceedings 2019 International Joint Conference on Artificial Neural Networks (IJCNN 2019), pp 1 - 8, 2019
  • A. Prieto, A. Romero, F. Bellas, R. Salgado and R.J. Duro, Introducing Separable Utility Regions in a Motivational Engine for Cognitive Developmental Robotics, Integrated Computer-Aided Engineering, pp 3 - 20, 2019
  • Richard J. Duro, José A. Becerra, Juan Monroy, Francisco Bellas, Perceptual Generalization and Context in a Network Memory Inspired Long-Term Memory for Artificial Cognition, International Journal of Neural Systems, pp 1 - 22, 2019
  • Luis Llamas, Alejandro Paz-Lopez, Abraham Prieto, Felix Orjales and Francisco Bellas, Artificial Intelligence Teaching through Embedded Systems: A Smartphone-Based Robot Approach, Advances in Intelligent Systems and Computing00, 2019
  • Bellas, F., Mallo, A., Naya, M., Souto, D., Deibe, A., Prieto, A., & Duro, R. J., STEAM Approach to Autonomous Robotics Curriculum for High School Using the Robobo Robot, Robotics in Education. RiE 2019. Advances in Intelligent Systems and Computing, pp 77 - 89, 2019
  • Bellas F., Salgado M., Blanco T.F., Duro R.J., Robotics in Primary School: A Realistic Mathematics Approach, Smart Learning with Educational Robotics, pp 149 - 182, 2019
  • A. Romero, A. Prieto, F. Bellas and R.J. Duro, Simplifying the Creation and Management of Utility Models in Continuous Domains for Cognitive Robotics, Neurocomputing, pp 106 - 118, 2019
  • F. Uzcategui, J. Vilar, A. Brage, H. Moro, A. Paz, A. Mallo, F. Bellas, Automatic 3D design tool for spool fitting in shipbuilding industry, Proceedings INEC 2018, pp 1 - 6, 2018
  • A. Romero, F. Bellas, A. Prieto and R.J. Duro, Utility Model Re-description within a Motivational System for Cognitive Robotics, Proceedings IROS 2018, pp 2324 - 2329, 2018
  • Jose A. Becerra, Richard J. Duro, Juan Monroy, Francisco Bellas, A Dreaming Approach to Perceptual Class Delimitation within the DREAM Architecture, Proceedings of 2018 IEEE International Work Conference on Bioinspired Intelligence00, 2018
  • A. Romero, F. Bellas, A. Prieto, R. J. Duro, A Re-description Based Developmental Approach to the Generation of Value Functions for Cognitive Robots, Proceedings of International Conference on Hybrid Artificial Intelligent Systems, pp 671 - 683, 2018
  • Francisco Bellas, Martín Naya, Gervasio Varela, Luís Llamas, Moises Bautista, Abraham Prieto, Richard J. Duro, Robobo: The Next Generation of Educational Robot, Proceedings ROBOT 2017: Third Iberian Robotics Conference,, pp 359 - 369, 2017
  • Martin Naya, Gervasio Varela, Luis Llamas, Moises Bautista, Juan Carlos Becerra, Francisco Bellas, Abraham Prieto, Alavaro Deibe, Richard J. Duro, A Versatile Robotic Platform for Educational Interaction, Proceedings IDAACS 2017, pp 138 - 144, 2017
  • F. Bellas, M. Naya, G. Varela, L. Llamas, A. Prieto, J.C. Becerra, M. Bautista, A. Faiña, R.J. Duro, The Robobo Project: Bringing Educational Robotics Closer to Real-World Applications (Best paper award), Proceedings of 8th International Conference on Robotics in Education (RIE 2017), 2017
  • P. Trueba, A. Prieto, F. Bellas, Embodied Evolution versus Cooperative Coevolution in Multi- Robot Optimization: a practical comparison, Proceedings GECCO 2017, 2017
  • Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Richard J. Duro, Motivational Engine for Cognitive Robotics in Non-Static Tasks, Proceedings of IWINAC 2017, pp 32 - 42, 2017
  • R. Salgado, A. Prieto, F. Bellas, L. Calvo-Varela, R. J. Duro, Neuroevolutionary Motivational Engine for Autonomous Robots, Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, pp 1065 - 1068, 2016
  • R. Salgado, A. Prieto, P. Caamaño, F. Bellas, R. J. Duro, Motivational Engine with Sub-Goal Identification in Neuroevolution based Cognitive Robotics, Proceedings of Hybrid Artificial Intelligent Systems 2016 (HAIS 2016), pp 659 - 670, 2016
  • Rodrigo Salgado, Abraham Prieto, Francisco Bellas and Richard J. Duro, Improving Extrinsically Motivated Developmental Robots through Intrinsic Motivations, Proceedings ICDL 2016, pp 1 - 1, 2016
  • Pedro Trueba, Abraham Prieto, Francisco Bellas and Richard J. Duro, How Complexity Pervades Specialization in Canonical Embodied Evolution, Proceedings ALIFE 2016, pp 123 - 131, 2016
  • R. Salgado, A. Prieto, F. Bellas, L. Calvo-Varela, R.J. Duro, Motivational engine with autonomous sub-goal identification for the Multilevel Darwinist Brain, Biologically Inspired Cognitive Architectures, pp 1 - 11, 2016
  • Rodrigo Salgado, Abraham Prieto, Pilar Caamaño, Francisco Bellas, and Richard J. Duro, MotivEn: Motivational Engine with Sub-goal Identification for Autonomous Robots, Proceedings CEC 2016, pp 4887 - 4894, 2016
  • Abraham Prieto, F. Bellas, P. Trueba and R.J. Duro, Real-time optimization of dynamic problems through distributed Embodied Evolution, Integrated Computer-Aided Engineering, pp 237 - 253, 2016
  • P. Caamaño, R. Salgado, F. Bellas, R. J. Duro, Introducing Synaptic Delays in the NEAT Algorithm to Improve Modelling in Cognitive Robotics, Neural Processing Letters, pp 479 - 504, 2016
  • R. Salgado, F.Bellas, R.J. Duro, Autonomous Learning of Procedural Knowledge in an Evolutionary Cognitive Architecture for Robots, Proceedings of 18th European Conference on the Applications of Evolutionary Computation, pp 807 - 818, 2015
  • Trueba, Pedro and Prieto, Abraham and Bellas, Francisco and Duro, Richard J, Applying the Canonical Distributed Embodied Evolution Algorithm in a Collective Indoor Navigation Task, Proceedings of the international joint conference on Neural Networks (IJCNN), pp 3735 - 3742, 2015
  • Priego, Blanca and Bellas, Francisco and Duro, Richard J, ECAS-II: A Hybrid Algorithm for the Construction of Multidimensional Image Segmenters, Proceedings of the international joint conference on Neural Networks (IJCNN), pp 1285 - 1292, 2015
  • A. Prieto, F. Bellas, P. Trueba, R.J. Duro, Towards the standardization of distributed Embodied Evolution, Information Sciences, pp 55 - 77, 2015
  • Rodrigo Salgado, Francisco Bellas, Richard J. Duro, Studying the Coupled Learning of Procedural and Declarative Knowledge in Cognitive Robotics, Proceedings of Living Machines 2015, pp 304 - 315, 2015
  • Priego, B and Bellas, Francisco and Duro, Richard J, Evolving Cellular Automata to Segment Hyperspectral Images Using Low Dimensional Images for Training, Proceedings of IWINAC 2015, pp 117 - 126, 2015
  • Pedro Trueba, Abraham Prieto, Francisco Bellas, Richard J. Duro, Embodied Evolution for Collective Indoor Surveillance and Location, Proceedings of IWINAC 2015, pp 138 - 147, 2015
  • Andres Faíña, Félix Orjales, Daniel Souto, Francisco Bellas y Richard J. Duro, A Modular Architecture for Developing Robots for Industrial Applications, Advances in Intelligent Robotics and Collaborative Automation, pp 1 - 25, 2015
  • Pilar Caamaño, Francisco Bellas, Richard Duro, tau-NEAT: Initial Experiments in Precise Temporal Processing through Neuroevolution, Neurocomputing, pp 43 - 49, 2015
  • A. Faiña, F. Bellas, F. Orjales, D. Souto, R.J. Duro, An Evolution Friendly Modular Architecture to Produce Feasible Robots, Robotics and Autonomous Systems, pp 195 - 205, 2015
  • Blanca Priego, Daniel Souto, Francisco Bellas y Richard J. Duro, Training Cellular Automata for Hyperspectral Image Segmentation, Advanced Data Acquisition and Intelligent Data Processing, pp 271 - 292, 2014
  • A. Faíña, D. Souto, F. Orjales, F. Bellas, R.J. Duro, Towards feasible virtual creatures by using modular robots, Proceedings of International Conference on Intelligent Robots and Systems (IROS 2014), 2014
  • Pilar Caamano, Francisco Bellas and Richard Duro, Augmenting the NEAT Algorithm to improve its temporal processing capabilities, Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2014), pp 1467 - 1473, 2014
  • Richard J. Duro, Francisco Bellas, José A. Becerra, Rodrigo Salgado, A Role for Sleep in Artificial Cognition through Deferred Restructuring of Experience in Autonomous Machines, Lecture Notes in Artificial Intelligence, pp 1 - 10, 2014
  • Bruno Fernández, Juan Monroy, Francisco Bellas y Richard J. Duro, Visual Behavior Definition for 3D Crowd Animation through Neuro-evolution, Proceedings of Hybrid Artificial Intelligence Systems (HAIS 2013), pp 354 - 364, 2014
  • Francisco Bellas, Pilar Caamaño, Andres Faiña, Richard J. Duro, Dynamic Learning in Cognitive Robotics through a Procedural Long Term Memory, Evolving Systems, pp 49 - 63, 2014
  • Richard J. Duro, Francisco Bellas, José A. Becerra Permuy, Brain-Like Robotics, Springer Handbook of Bio-/Neuroinformatics, pp 1019 - 1056, 2014
  • Andrés Faíña, Francisco Bellas, Fernando López-Peña, Richard J. Duro, EDHMoR: Evolutionary designer of heterogeneous modular robots, Engineering Applications of Artificial Intelligence, pp 2408 - 2423, 2013
  • Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro, Hyperspectral Image Segmentation through Evolved Cellular Automata, Pattern Recognition Letters, pp 1648 - 1658, 2013
  • Andrés Faíña, Félix Orjales, Daniel Souto, Francisco Bellas and Richard J. Duro, Designing a Modular Robotic Architecture for Industrial Applications, Proceedings of the 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp 874 - 879, 2013
  • Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro, Addressing the Training Problem in Cellular Automata based Hyperspectral Image Segmentation, Proceedings of the 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp 382 - 387, 2013
  • P. Trueba, A. Prieto, F. Bellas, P. Caamaño, R.J. Duro, Specialization analysis of embodied evolution for robotic collective tasks, Robotics and Autonomous Systems, pp 682 - 693, 2013
  • Andrés Faíña, Felix Orjales, Francisco Bellas, and Richard J. Duro, Implicit and Robust Evaluation Methodology for the Evolutionary Design of Feasible Robots, Lecture Notes in Computer Science, pp 102 - 111, 2013
  • Pilar Caamaño, Andrés Faiña, Francisco Bellas, and Richard J. Duro, Multiscale Dynamic Learning in Cognitive Robotics, Natural and Artificial Computation in Engineering and Medical Applications Lecture Notes in Computer Science, pp 56 - 65, 2013
  • Pilar Caamaño, Francisco Bellas, Jose A. Becerra, Richard J. Duro, Evolutionary Algorithm Characterization in Real Parameter Optimization Problems, Applied Soft Computing, pp 1902 - 1921, 2013
  • Paula García, Pilar Caamaño, Richard J. Duro, Francisco Bellas, Scalable Task Assignment for Heterogeneous Multi-robot Teams, International Journal of Advanced Robotic Systems00, 2013
  • B. Priego, D. Souto, F. Bellas, F. López-Peña, R. J. Duro, An Evolved Cellular Automata Based Approach to Hyperspectral Image Processing, Advanced Techniques for Knowledge Engineering and Innovative Applications, pp 115 - 135, 2013
  • Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro, Unsupervised Segmentation of Hyperspectral Images through Evolved Cellular Automata, 2012 Proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, pp 2160 - 2169, 2012
  • Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro and Fernando López-Peña, A Temporal Based Process Classification Approach Using Hyperspectral Image Sequences, Digital Image and Signal Processing for Measurement Systems, pp 267 - 287, 2012
  • Blanca Priego, Francisco Bellas, Daniel Souto, Fernando Lopez-Pena and Richard J. Duro, Evolving Cellular Automata for Detecting Edges in Hyperspectral Images, Proceedings of the IEEE World Congress on Computational Intelligence (WCCI) 2012, pp 658 - 663, 2012
  • Pilar Caamaño, Francisco Bellas, José A. Becerra, Vicente Díaz, Richard J. Duro, Experimental Analysis of the Relevance of Fitness Landscape Topographical Characterization, Proceedings of the World Conference of Computational Intelligence 2012, pp 3324 - 3331, 2012
  • Rodrigo Salgado, Francisco Bellas, Borja Santos-Diez, Pilar Caamaño, Richard Duro, A Procedural Long Term Memory for Cognitive Robotics. Optimizing Adaptive Learning in Dynamic Environments (Best paper award), Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2012), pp 57 - 62, 2012
  • Pedro Trueba, Abraham Prieto, Francisco Bellas, Pilar Caamaño, and Richard J. Duro, Self-organization and Specialization in Multiagent Systems through Open-Ended Natural Evolution, Lecture Notes in Computer Science, pp 93 - 102, 2012
  • Blanca Priego, Richard J. Duro, Francisco Bellas, Daniel Souto, Neural Based Rotation And Scale Independent Detection Of Targets In A Hyperspectral Waterway Monitoring System, 2012 ICPRAM International Conference on Pattern Recognition Applications and Methods, pp 419 - 425, 2012
  • Abraham Prieto, Francisco Bellas, Pilar Caamaño, Richard J. Duro, Automatic Neural-based Pattern Classification of Motion Behaviors in Autonomous Robots, Neurocomputing, pp 146 - 155, 2012
  • Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro, Fernando López-Peña, Time in Hyperspectral Processing: a Temporal based Classification Approach, Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2011), pp 341 - 346, 2011
  • A. Faiña, F. Orjales, F. Bellas and R.J. Duro, First Steps towards a Heterogeneous Modular Robotic Architecture for Intelligent Industrial Operation, Workshop Reconfigurable Modular Robotics: Challenges of Mechatronic and Bio-Chemo-Hybrid Systems, IROS, pp 06, 2011
  • R. J. Duro, F. Bellas, A. Prieto, A. Paz-Lopez, Social Learning for Collaboration through ASiCo based Neuroevolution, Journal of Intelligent and Fuzzy Systems, pp 125 - 139, 2011
  • Pilar Caamaño, Jose A. Becerra, Francisco Bellas, Richard J. Duro, Are Evolutionary Algorithm Competitions Characterizing Landscapes Appropriately?, Proceedings of the 2011 Genetic and Evolutionary Computation Conference (GECCO' 2011), pp 695 - 702, 2011
  • P. Trueba, A. Prieto, P. Caamaño, F. Bellas and R. J. Duro, Task-Driven Species in Evolutionary Robotic Teams, Lecture Notes in Computer Science, pp 138 - 147, 2011
  • Andrés Faíña, Francisco Bellas, Daniel Souto and Richard J. Duro, Towards an Evolutionary Design of Modular Robots for Industry, Proceedings of the 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, pp 50 - 59, 2011
  • P. Caamaño, J.A. Becerra, F. Bellas, A. Prieto and R.J. Duro, Evolutionary Procedure for the Progressive Design of Controllers for Collective Behaviors, Lecture Notes in Computer Science, pp 471 - 478, 2011
  • Abraham Prieto, Francisco Bellas, Pilar Caamaño and Richard J. Duro, Solving a heterogeneous Fleet Vehicle Routing Problem with Time Windows through the Asynchonrous Situated Coevolution Algorithm, Advances in artificial life. Proceedings ECAL 2009, pp 200 - 207, 2011
  • Abraham Prieto, J.A. Becerra, F. Bellas, R.J. Duro, Open-ended Evolution as a means to Self-Organize Heterogeneous Multi-Robot Systems in Real Time, Robotics and Autonomous Systems, pp 1282 - 1291, 2010
  • F. Bellas, R. J. Duro, A. Faiña, D. Souto, MDB: Artificial Evolution in a Cognitive Architecture for Real Robots, IEEE Transactions on Autonomous Mental Development, pp 340 - 354, 2010
  • P. Caamaño, A. Prieto, J.A. Becerra, F. Bellas and R.J. Duro, Real Valued Multimodal Fitness Landscape Characterization for Evolution, Lecture Notes in Computer Science, pp 567 - 574, 2010
  • J.A. Becerra, F. Bellas, R. J. Duro, G. Varela and F. López-Peña, A Tool for the Automatic Comparison of Student Code in the Context of Computational Programming Teaching, Proceedings of the 1st International Conference on European Transnational Education (ICEUTE 2010), pp 139 - 146, 2010
  • Pilar Caamaño, Abraham Prieto, Jose Antonio Becerra y Francisco Bellas, Caracterización de espacios de búsqueda multimodales en problemas de codificación real, Actas del VII Congreso Español sobre Metaheurísticas, Algoritmo Evolutivos y Bioinspirados, pp 667 - 676, 2010
  • Abraham Prieto, Francisco Bellas, Richard J. Duro, and Fernando López-Peña, An Adaptive Approach for the Progressive Integration of Spatial and Spectral Features When Training Ground-Based Hyperspectral Imaging Classifiers, IEEE Transactions on Instrumentation and Measurement, pp 2083 - 2093, 2010
  • R. J. Duro, F. Bellas, P. Caamaño and G. Varela, Automatic model decomposition and reuse in an evolutionary cognitive mechanism, Evolving Systems, pp 129 - 141, 2010
  • Abraham Prieto, Francisco Bellas, Jose A. Becerra, Blanca Priego, and Richard J. Duro, Self-organizing Robot Teams Using Asynchronous Situated Co-evolution, Lecture Notes in Artificial Intelligence, pp 565 - 574, 2010
  • F. Bellas, A. Faiña, G. Varela, R. J. Duro, A Cognitive Developmental Robotics Architecture for Lifelong Learning by Evolution in Real Robots, Proceedings IEEE WCCI 2010, pp 47 - 54, 2010
  • Abraham Prieto, Francisco Bellas, Pilar Caamaño and Richard J. Duro, Automatic Behavior Pattern Classification for Social Robots, Lecture Notes in Artificial Intelligence, pp 88 - 95, 2010
  • R.J. Duro, F. Bellas, J.A. Becerra, Evolutionary architecture for lifelong learning and real-time operation in autonomous robots, Evolving Intelligent Systems: methodology and applications, pp 365 - 400, 2010
  • B. Santos-Diez, F. Bellas, A. Faiña, R.J. Duro, Lifelong Learning by Evolution in Robotics: Bridging the Gap from Theory to Reality, Proceedings of the International Symposium on Evolving Intelligent Systems, pp 48 - 53, 2010
  • Abraham Prieto, Francisco Bellas, and Richard J. Duro, Adaptively Coordinating Heterogeneous Robot Teams through Asynchronous Situated Coevolution, Lecture Notes in Computer Science, pp 75 - 82, 2009
  • F. Bellas, O. Fontenla-Romero, N. Sánchez-Maroño, J. A. Becerra, Web-Based Multimedia Tools for Monitoring and E-Learning, Monitoring and Assessment in Online Collaborative Environments: Emergent Computational Technologies for E-Learning Support, pp 1 - 21, 2009
  • Abraham Prieto, Francisco Bellas, Andres Faiña, Richard J. Duro, Asynchronous Situated Coevolution and Embryonic Reproduction as a Means to Autonomously Coordinate Robot Teams, Lecture Notes in Computer Science, pp 351 - 359, 2009
  • J. Monroy, F. Bellas, R.J. Duro, R. Lopez, A. Puentes, J. Isaac, Automatic Speech-Lip Synchronization System for 3D Animation, Lecture Notes in Computer Science, pp 122 - 129, 2009
  • F. Bellas, O. Fontenla-Romero, N. Sánchez-Maroño, J.A. Becerra, Monitorización del aprendizaje mediante actividades con material on-line e interactivo, Libro de resúmenes del I Congreso de Docencia Universitaria, pp 64 - 64, 2009
  • V. Díaz-Casás, Francisco Bellas, Fernando Lopez-Peña, R.J. Duro, Hydrodynamic Design of Control Surfaces for Ships Using a MOEA with Neuronal Correction, Lecture Notes in Artificial Intelligence, pp 96 - 103, 2009
  • F. Bellas, J.A. Becerra, R. J. Duro, Using Promoters and Functional Introns in Genetic Algorithms for Neuroevolutionary Learning in Non-Stationary Problems, Neurocomputing, pp 2134 - 2145, 2009
  • Paula Garcia, Pilar Caamaño, Francisco Bellas and Richard J. Duro, A Behavior Based Architecture with Auction-Based Task Assignment for Multi-robot Industrial Applications, Lecture Notes in Computer Science, pp 372 - 381, 2009
  • Pilar Caamaño, Jose Antonio Becerra, Francisco Bellas, Richard J. Duro, Using Spiking Neural Networks for the Generation of Coordinated Action Sequences in Robots, Lecture Notes in Computer Science, pp 1013 - 1020, 2009
  • Abraham Prieto, Francisco Bellas, Richard J. Duro, Fernando Lopez-Peña, An Incremental Learning Algorithm for Optimizing High-Dimensional ANN-Based Classification Systems, Lecture Notes in Computer Science, pp 1037 - 1044, 2009
  • Prieto, A., Caamaño, P., Bellas, F., Duro, R. J., Population Dynamics Analysis in an Agent-based Artificial Life System for Engineering Optimization Problems, Proceedings of the Eleventh conference on Congress on Evolutionary Computation, pp 2724 - 2731, 2009
  • Abraham Prieto, Francisco Bellas, Pilar Caamaño, Richard J. Duro, A Complex Systems Based Tool for Collective Robot Behavior Emergence and Analysis, Lecture Notes in Artificial Intelligence, pp 633 - 640, 2008
  • J. Monroy, J. A. Becerra, F. Bellas, R. J. Duro, Improving Performance in HPC Centers by Modeling Users Through an Evolutionary Virtual Interface, IEEE Transactions on Instrumentation and Measurement, pp 1885 - 1893, 2008
  • Abraham Prieto, Francisco Bellas, Fernando Lopez-Peña, Richard J. Duro, Automatic Preprocessing and Classification System for High Resolution Ultra and Hyperspectral Images, Computational Intelligence for Remote Sensing, pp 313 - 340, 2008
  • P. Caamaño, F. Bellas, J. A. Becerra, R. J. Duro, Application Domain Study of Evolutionary Algorithms in Optimization Problems, Proceedings of the GECCO 2008, pp 377 - 384, 2008
  • Francisco Bellas, Jose A. Becerra, and Richard J. Duro, Internal and External Memory in Neuroevolution for Learning in Non-stationary Problems, Lecture Notes in Artificial Intelligence, pp 62 - 72, 2008
  • Abraham Prieto, Richard Duro, and Francisco Bellas, Obtaining Optimization Algorithms through an Evolutionary Complex System, Abstracts booklet ECCS07, pp 132 - 132, 2007
  • P. Caamaño, J.A. Becerra, R.J. Duro, and F. Bellas, Incremental Evolution of Stigmergy-Based Multi Robot Controllers Through Utility Functions, Lecture Notes in Artificial Intelligence, pp 1187 - 1195, 2007
  • F. López Peña, F. Bellas, R. J. Duro, and P. Fariñas, On the Analysis of Turbulent Flow Signals by Artificial Neural Networks and Adaptive Techniques, Proceedings of the 5th Joint ASME/JSME Fluids Engineering Conference (FEDSM2007), pp 1 - 6, 2007
  • Francisco Bellas Bouza y Amparo Alonso Betanzos, Metodología de trabajo y experiencias de aprendizaje colaborativo y evaluación continua en la disciplina de Sistemas Multiagente, Actas JENUI 2007, pp 65 - 72, 2007
  • Pilar Caamaño, Abraham Prieto, Jose Antonio Becerra, Richard Duro, and Francisco Bellas, Evolutionary Tool for the Incremental Design of Controllers for Collective Behaviors, Lecture Notes in Computer Science, pp 587 - 596, 2007
  • Abraham Prieto, F. Bellas, R. Duro, F. Lopez-Peña, Auto adjustable ANN-based classification system for optimal high dimensional data analysis, Lecture Notes in Computer Science, pp 588 - 596, 2007
  • Andrés Faíña, Francisco Bellas and Richard J. Duro, Initial development of HABLA (Hardware Abstraction Layer). A middleware software tool., Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics, pp 53 - 58, 2007
  • P. Caamaño, A. Prieto, F. Bellas, J. A. Becerra, R. Duro, BDesigner: Una Herramienta Evolutiva para la Creación de Comportamientos Colaborativos, Actas MAEB 2007, pp 331 - 338, 2007
  • A. Prieto, F. Bellas, F. López-Peña, R. J. Duro, Integration of Spatial Information in Hyperspectral Imaging for Real Time Quality Control in an Andalusite Processing Line, Lecture Notes in Computer Science, pp 292 - 299, 2006
  • J. Monroy, J. A. Becerra, F. Bellas, R. J. Duro, F. López Peña, Automatic Profiling and Behavior Prediction of Computer system Users, Proceedings of the 2006 Workshop on Measurement Systems for Homeland Security, Contraband Detection and Personal Safety, pp 62 - 66, 2006
  • F. Bellas, A. Faiña, A. Prieto, and R.J. Duro, Adaptive Learning Application of the MDB Evolutionary Cognitive Architecture in Physical Agents, Lecture Notes in Artificial Intelligence, pp 434 - 445, 2006
  • J. A. Becerra, F. Bellas, R. J. Duro, J. de Lope, Snake-Like Behaviors Using Macroevolutionary Algorithms and Modulation based Architectures, Proceedings of the 7th International FLINS Conference, pp 725 - 730, 2006
  • J. Monroy, J. A. Becerra, F. Bellas, R. J. Duro, Parallel Job Scheduling through Evolutionary Based Cognitive Strategies, Proceedings of 2006 IEEE Congress on Evolutionary Computation, pp 11043 - 11049, 2006
  • Noelia Sánchez Maroño, Óscar Fontenla Romero, Francisco Bellas Bouza, Aportaciones e ideas para el rediseño de la asignatura de fundamentos de informática al EEES, Actas de las XII Jornadas de Enseñanza Universitaria de Informática, pp 263 - 270, 2006
  • J. Monroy, J. A. Becerra, F. Bellas, R. J. Duro, Intelligent Virtual Interface for Improving Performance in HPC Centers by Modelling Users and their Satisfaction, Proceedings of 2006 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, pp 69 - 74, 2006
  • Abraham Prieto, F. Bellas, R. J. Duro, F. López-Peña, An Adaptive Visual Gesture Based Interface for Human Machine Interaction in Intelligent Workspaces, Proceedings of 2006 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, pp 43 - 48, 2006
  • Abraham Prieto, F. Bellas, R. J. Duro, F. López-Peña, Adaptive Spatio-Spectral Hyperspectral Image Processing for Online Industrial Classification of Inhomogeneous Materials, Proceedings of 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp 116 - 121, 2006
  • J. A. Becerra, F. Bellas, R. J. Duro, Arquitectura cognitiva para robots autónomos basada en la integración de mecanismos deliberativos y reactivos, Actas del Campus Multidisciplinar en Percepción e Inteligencia, pp 345 - 356, 2006
  • F. López Peña, F. Bellas, R. J. Duro and M. L. Sánchez Simón, Using Adaptive Artificial Neural Networks for Reconstructing Irregularly Sampled Laser Doppler Velocimetry Signals, IEEE Transactions on Instrumentation and Measurement, pp 916 - 922, 2006
  • F. Bellas, J.A. Becerra, R. Duro, Construction of a Memory Management System in an On-line Learning Mechanism, Proceedings ESANN 2006, pp 95 - 100, 2006
  • F. Bellas, J.A. Becerra, R. Duro, Some experimental results with a two level memory management system in the multilevel darwinist brain, Proceedings ESANN 2006, pp 113 - 118, 2006
  • J. Monroy, José A. Becerra, Francisco Bellas, Richard J. Duro, and Fernando López-Peña, A Profiling Based Intelligent Resource Allocation System, Lecture Notes in Artificial Intelligence, pp 840 - 846, 2005
  • F. Bellas, F. Lopez-Peña, R. J. Duro, M. Sanchez-Simon, Analysis of Hot-Wire Anemometer Turbulent Signals by Means of Delay Based Network, Proceedings of the third IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp 8 - 12, 2005
  • F. Bellas, R.J. Duro, F. Lopez-Peña, Blind Signal Separation through Cooperating ANNs, Lecture Notes in Artificial Intelligence, pp 847 - 853, 2005
  • F. Lopez Peña, F. Bellas, R. J. Duro, and M. L. Sanchez Simon, On the use of Delay Based Networks in the Analysis of Turbulent Signals, Proceedings of the CIMSA 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp 341 - 346, 2005
  • F. Bellas, J.A. Becerra, R.J. Duro, Evolution of Cooperating ANNs through Functional Phenotypic Affinity, Lecture Notes in Computer Science, pp 333 - 340, 2005
  • F. Bellas, J.A. Becerra, R.J. Duro, Induced behaviour in a Real Agent using the Multilevel Darwinist Brain, Lecture Notes in Computer Science, pp 425 - 434, 2005
  • A. Prieto, F. Bellas, R.J. Duro, and F. Lopez-Peña, A Comparison of Gaussian Based ANNs for the Classification of Multidimensional Hyperspectral Signals, Lecture Notes in Computer Science, pp 829 - 836, 2005
  • J.A. Becerra, F. Bellas, J. Santos, R.J. Duro, Complex Behaviours through modulation in Autonomous Robot Control, Lecture Notes in Computer Science, pp 717 - 723, 2005
  • F. Bellas, J. A. Becerra and R. J. Duro, Evolution with Sampled Fitness Functions, Information Processing with Evolutionary Algorithms From Industrial Applications to Academic Speculations, pp 255 - 268, 2005
  • M. Rios, M. Iglesias, S. Naya, F. Bellas, Aplicación de algoritmos genéticos para optimizar curvas termogravimétricas, Revista de la asociación Española de Ingeniería mecánica, pp 1395 - 1403, 2004
  • F. Bellas, R. J. Duro, Multilevel Darwinist Brain in Robots, Initial Implementation, Proceedings 1st Internacional Conference on Informatics in Control, Automation and Robotics, pp 25 - 32, 2004
  • F. Bellas, R. J. Duro, Some Thoughts on the use of Sampled Fitness Functions for the Multilevel Darwinist Brain, Information Sciences, pp 159 - 179, 2004
  • F. Bellas, R. J. Duro, Algoritmo Evolutivo Basado en Afinidad para la Extracción de Primitivas, Actas del Tercer Congreso Español de Metaheurísticas y Algoritmos Evolutivos y Bioinspirados MAEB 2004, pp 555 - 561, 2004
  • F. Bellas, R. J. Duro, Obtaining multimodule ANNs through Evolution Using an Affinity Based Operator, Proceedings 7th joint conference on information sciences 2003, pp 311 - 314, 2003
  • F. López Peña, F. Bellas, R.J. Duro and M. Sánchez Simón, Reconstructing Irregularly Sampled Laser Doppler Signals by Using Artificial Neural Networks, Proceedings of the Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp 99 - 105, 2003
  • F. Bellas, R. J. Duro, Introducing Long Term Memory in an ANN based Multilevel Darwinist Brain, Lecture Notes in Computer Science, pp 590 - 598, 2003
  • F. Bellas, R. J. Duro, Generación automática de modelos de mundo mediante algoritmos genéticos basados en genes promotores, Actas del II Congreso español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, pp 101 - 108, 2003
  • F. Bellas, R. J. Duro, Modelling the world with statiscally neutral PBGAs. Enhancement and real applications, Proc. 9th Internacional Conference on Neural Information Processing, pp 2093 - 2098, 2002
  • F. Bellas, R. J. Duro, Statistically neutral promoter based GA for evolution with dynamic fitness functions, Proc. of IASTED International Conference Artificial Intelligence and Applications, pp 335 - 340, 2002
  • F. Bellas, J.A. Becerra, R. J. Duro, Sampled Fitness Functions in Complex Problems(part II): Critical Points and Constructing short term memories, Proceedings 6th Joint Conference on Information Sciences, pp 635 - 638, 2002
  • F. Bellas, J.A. Becerra, R. J. Duro, Sampled fitness functions in complex problems(part I): Influence of short term memory size, Proceedings 6th Joint Conference on Information Sciences, pp 631 - 634, 2002
  • F. Bellas, R. J. Duro, J.A. Becerra, Funciones de Calidad Muestreadas en Algoritmos Evolucionistas, Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, pp 375 - 382, 2002
  • F. Bellas, A. Lamas, R. J. Duro, Multilevel Darwinist Brain and Autonomously Learning to Walk, Proceedings of the International Conference on Computational Intelligence, Robotics and Autonomous Systems, pp 392 - 398, 2001
  • F. Bellas, A. Lamas, R. J. Duro, Adaptive Behavior through a Darwinist Machine, Lecture Notes in Artificial Intelligence, pp 86 - 89, 2001
  • F. Bellas, A. Lamas, R. J. Duro, Evolutionary Cognition for Autonomously Obtaining Primal Behaviors, Advances in Signal Processing, Robotics and Communications, pp 398 - 403, 2001
  • J. Santos, R.J. Duro, J.A. Becerra, J.L. Crespo and F. Bellas, Considerations in the Application of Evolution to the Generation of Robot Controllers, Information Sciences, pp 127 - 148, 2001
  • F, Bellas, J. A. Becerra and Duro, R. J., Using Evolution for Thinking and Deciding, Advances in Fuzzy Systems and Evolutionary Computation, Artificial Intelligence, pp 242 - 247, 2001
  • R. J. Duro, J. Santos, F. Bellas, A. Lamas, On line Darwinist Cognitive Mechanism for an Artificial Organism, SAB 2000 Proceedings Supplement Book, pp 215 - 224, 2000
  • F. Bellas, J. A. Becerra, J. Santos, R. J. Duro, Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots, Proc. of International Joint Conference on Neural Networks (IJCNN'2000), pp 144 - 149, 2000
  • R.J. Duro, J. Santos, J.A. Becerra, F. Bellas, J.L. Crespo, Using Higher order Synapses and Nodes to Improve the Sensing Capabilities of Mobile Robots, Proc. of European Symposium on Artificial Neural Networks (ESANN 2000), pp 81 - 88, 2000
  • J. Santos , R.J. Duro , J.A. Becerra, J.L. Crespo, F. Bellas, Aspects of Evolution for Obtaining Real Robot Controllers, Proceedings of Frontiers in Evolutionary Algorithms (FEA 2000), pp 1023 - 1027, 2000

Biografía

Francisco Bellas es Catedrático en la Universidade da Coruña, donde trabaja en Inteligencia Artificial aplicada desde 1999 dentro del Grupo Integrado de Ingeniería. Es autor de más de 40 publicaciones en revistas, 130 contribuciones a congresos internacionales y capítulos de libros, y ha colaborado en 50 proyectos de investigación e innovación, en dos áreas principales: la robótica cognitiva, y la Inteligencia Artificial en Educación. Actualmente, Francisco es un colaborador activo del European Digital Education Hub, la UNESCO o la fundación Asia-Europa, e imparte numerosas formaciones a docentes de toda Europa sobre el uso eficiente y responsable de la IA en educación.

El Grupo Integrado de Ingeniería agradece el apoyo de la Xunta de Galicia y el Fondo Europeo de Desarrollo Regional bajo el proyecto GRC 2013-050