Publicaciones en colaboración con investigadores/as de Universidad Politécnica de Madrid (32)

2023

  1. A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

    Journal of Ambient Intelligence and Humanized Computing, Vol. 14, Núm. 8, pp. 9869-9905

  2. Application of percentile color intensities of borehole images for automatic fluorite grade assessment

    Ore Geology Reviews, Vol. 163

  3. Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques

    International Journal of Mining Science and Technology, Vol. 33, Núm. 5, pp. 555-571

2021

  1. New research methods & algorithms in social network analysis

    Future Generation Computer Systems

  2. New trends and applications in social media analytics

    Future Generation Computer Systems

  3. Standard methods for pollen research

    Journal of Apicultural Research, Vol. 60, Núm. 4, pp. 1-109

2020

  1. Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Neurocomputing, Vol. 410, pp. 237-270

  2. Marketing analysis of wineries using social collective behavior from users’ temporal activity on Twitter

    Information Processing and Management, Vol. 57, Núm. 5

  3. On the Role of Execution Order in Hybrid Evolutionary Algorithms

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

2019

  1. Comparing Large-Scale Global Optimization Competition winners in a real-world problem

    2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

2018

  1. AUTOMATION OF THE DESIGN AND DEVELOPMENT OF DIGITAL EDUCATIONAL RESOURCES FOR E-LEARNING IN ARCHITECTURAL GRAPHIC EXPRESSION

    12TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED)

  2. An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions

    Cognitive Computation, Vol. 10, Núm. 4, pp. 517-544

  3. An insight into evolutionary algorithms for continuous optimization: learning by competitions

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  4. SHADE con búsqueda local iterativa para optimización global de alta dimensionalidad

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  5. SHADE with Iterative Local Search for Large-Scale Global Optimization

    2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

  6. Suitability analysis of modeling and assessment approaches in energy efficiency in buildings

    Energy and Buildings, Vol. 158, pp. 1662-1682

  7. Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy

    2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

2017

  1. Energy consumption modeling by machine learning from daily activity metering in a hospital

    IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

2014

  1. Erratum: Discernment of bee pollen loads using computer vision and one-class classification techniques (Journal of Food Engineering (2012) 112:1 (50-59))

    Journal of Food Engineering

2013

  1. Corrigendum to "Real-time recognition of patient intentions from sequences of pressure maps using artificial neural networks" [Computers in Biology and Medicine 42 (2012) 364-375]

    Computers in Biology and Medicine