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Francisco J. Quesada
Miembro
Universidad de Jaén (España)
fqreal@ujaen.es
+34 953212476
Profesor en el Departamento de Informática de la Universidad de Jaén, con experiencia previa como investigador Marie Curie en la Universidad de Edimburgo y como profesor en la Universidad de Cádiz. También ha trabajado en la industria como investigador e ingeniero de software. Es miembro del grupo de investigación Sinbad2 y de la red RIBCi . Posee un doctorado en Inteligencia Artificial por la Universidad de Edimburgo, otro doctorado en TIC, un máster en Educación y títulos de Ingeniería Técnica en Informática de Gestión y de Ingeniería Informática, todos por la Universidad de Jaén. Sus principales áreas de interés incluyen la Inteligencia Artificial, las Tecnologías de Registro Distribuido, el Internet de las Cosas, la Toma de Decisiones en Grupo, y la Educación.
Publicaciones
Solo se muestran los años con publicaciones disponibles:
- Cualquiera -Articulos revistaCapitulos de librosCongreso internacionalCongresos NacionalesLibrosRevista Nacional
2026
Leveraging Self-Sovereign Identity for Certifying Extra-Curricular Competencies and Skills in University Programs
Applied System Innovation, vol. 9, year. 2026, DOI: 10.3390/asi9060115
2025
A Transparent and Ecologically Sustainable DLT-based Approach for Tendering Processes
JOURNAL OF UNIVERSAL COMPUTER SCIENCE, vol. 31, year. 2025, pág. 277–297, DOI: 10.3897/jucs.150345
Energy: reducing latency in IoT DLTs for AI-driven real-time solutions
International Journal of Web Information Systems, vol. 21, year. 2025, pág. 567-593, DOI: 10.1108/IJWIS-11-2024-0332
FODIT: A Filter-Based Module for Optimizing Data Storage in B5G IoT Environments
Future Internet, vol. 17, year. 2025, DOI: 10.3390/fi17070295
FODIT: A Filter-Based Module for Optimizing Data Storage in B5G IoT Environments
Future Internet, vol. 17, year. 2025, DOI: 10.3390/fi17070295
Fuzzychain: An equitable consensus mechanism for blockchain networks
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, vol. 241, year. 2025, DOI: 10.1016/j.jnca.2025.104204
2024
Applying active learning by contextualizing robotic applications to historical heritage
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, vol. 32, year. 2024, DOI: 10.1002/cae.22687
Natural noise management in collaborative recommender systems over time-related information
JOURNAL OF SUPERCOMPUTING, vol. 80, year. 2024, pág. 23628–23666, DOI: 10.1007/s11227-024-06267-7
Phonendo: a platform for publishing wearable data on distributed ledger technologies
WIRELESS NETWORKS, vol. 30, year. 2024, pág. 6507–6521, DOI: 10.1007/s11276-023-03458-7
Time series features and fuzzy memberships combination for time series classification
NEUROCOMPUTING, vol. 606, year. 2024, DOI: 10.1016/j.neucom.2024.128368
2023
Deep learning methods applied to digital elevation models: state of the art
GEOCARTO INTERNATIONAL, vol. 38, year. 2023, DOI: 10.1080/10106049.2023.2252389
2021
Automatic Positional Accuracy Assessment of Imagery Segmentation Processes: A Case Study
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, vol. 10, year. 2021, DOI: 10.3390/ijgi10070430
2018
Exploring Consistency for Hesitant Preference Relations in Decision Making: Discussing Concepts, Meaning and Taxonomy
JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, vol. 30, year. 2018, pág. 129–154
2017
AFRYCA 2.0: an improved analysis framework for consensus reaching processes
Progress in Artificial Intelligence, vol. 6, year. 2017, pág. 181–194, Springer
AFRYCA 2.0: an improved analysis framework for consensus reaching processes
Progress in Artificial Intelligence, vol. 6, year. 2017, pág. 181–194, Springer
Selecting firms in University technoparks: A hesitant linguistic fuzzy TOPSIS model for heterogeneous contexts
JOURNAL OF IN℡LIGENT & FUZZY SYSTEMS, vol. 33, year. 2017, pág. 1155–1172, DOI: 10.3233/JIFS-16727
2016
Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making
KNOWLEDGE-BASED SYSTEMS, vol. 99, year. 2016, pág. 71–78, DOI: 10.1016/j.knosys.2016.01.047
2015
A Consensus-Driven Group Recommender System
INTERNATIONAL JOURNAL OF IN℡LIGENT SYSTEMS, vol. 30, year. 2015, pág. 887–906, DOI: 10.1002/int.21730
Managing experts behavior in large-scale consensus reaching processes with uninorm aggregation operators
APPLIED SOFT COMPUTING, vol. 35, year. 2015, pág. 873–887, DOI: 10.1016/j.asoc.2015.02.040
2014
Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study
INFORMATION FUSION, vol. 20, year. 2014, pág. 252–271, DOI: 10.1016/j.inffus.2014.03.002
2005
Managing non-homogeneous information in group decision making
European Journal of Operational Research, vol. 166, year. 2005, pág. 115-132, Elsevier, DOI: 10.1016/j.ejor.2003.11.031
2003
Preference modeling and applications: EUROFUSE 2001
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 18, year. 2003, pág. 709-710, DOI: 10.1002/int.10111
Preference modelling and applications. Selected papers from EUROFUSE 2001, Granada
FUZZY SETS AND SYSTEMS, vol. 137, year. 2003, pág. 1-2, DOI: 10.1016/S0165-0114(02)00427-X