2023
Francisco José Quesada, F. Pérez-Peña, A. Morgado-Estévez, Juan J Ruiz-Lendínez
Applying Active Learning by Contextualizing Robotic Applications to Historical Heritage
Computer Applications in Engineering Education, pp. 1-20, 2023.
Francisco Moya, Francisco José Quesada, Luis Martínez, Francisco Javier Estrella
CertifIoT: An IoT and DLT-Based Solution for Enhancing Trust and Transparency in Data Certification
10.1007/978-3-031-48590-9_12
“CertifIoT: An IoT and DLT-Based Solution for Enhancing Trust and Transparency in Data Certification”, in Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023, vol. 841, p. 127--138.
Francisco Moya, Francisco José Quesada, Luis Martínez, Francisco Javier Estrella
Phonendo: A Platform for Publishing Wearable Data on Distributed Ledger Technologies
Wireless Networks, pp. 1-15, 2023.
Juan J Ruiz-Lendínez, F.J. Ariza-López, J. F. Reinoso-Gordo, Manuel A Ureña-Cámara, Francisco José Quesada
Deep Learning Methods applied to Digital Elevation Models: State of the Art
Geocarto International, vol. 38, pp. 1-26, 2023.
2021
Juan J Ruiz-Lendínez, Manuel A Ureña-Cámara, José L Mesa-Mingorance, Francisco José Quesada
Automatic Positional Accuracy Assessment of Imagery Segmentation Processes: A Case Study
ISPRS International Journal of Geo-Information, vol. 10, p. 430, 2021.
2020
Francisco José Quesada, Gábor Bella, Fiona McNeill, Alan Bundy
Using domain lexicon and grammar for ontology matching.
“Using domain lexicon and grammar for ontology matching.”, 2020, pp. 1-12.
2019
Francisco José Quesada, Luis Martínez
Procesos de alcance de consenso ante nuevos retos en toma de decisión en grupo: Grandes grupos y recomendación
tesis.pdf8.67 MB
2019.
Gábor Bella, Fiona McNeill, David Leoni, Francisco José Quesada, Fausto Giunchiglia
Diversicon: Pluggable lexical domain knowledge
Journal on Data Semantics, vol. 8, pp. 219-234, 2019.
2018
Francisco José Quesada, Fiona McNeill, Gábor Bella, Alan Bundy
Identifying Semantic Domains in Emergency Scenarios.
“Identifying Semantic Domains in Emergency Scenarios.”, 2018.
2017
Francisco José Quesada, Fiona McNeill, Gábor Bella, Alan Bundy
Improving Dynamic Information Exchange in Emergency Response Scenarios.
“Improving Dynamic Information Exchange in Emergency Response Scenarios.”, 2017.
2016
Paula Chocron, Dagmar Gromann, Francisco José Quesada
Towards building ontologies with the wisdom of the crowd
“Towards building ontologies with the wisdom of the crowd”, 2016.
2015
Jorge Castro, Francisco José Quesada, Luis Martínez
Uso de procesos de alcance de consenso para mejorar la recomendación a grupos
grs-consensus-caepia-camera-ready.pdf1.5 MB
XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA15), Albacete (Spain), November 9-12th. 2015.
Jorge Castro, Francisco José Quesada, Iván Palomares, Luis Martínez
A Consensus-Driven Group Recommender System
10.1002/int.21730
International Journal of Intelligent Systems, vol. 30, pp. 887-906, 2015.
Francisco José Quesada, Iván Palomares, Luis Martínez
Managing experts behavior in large-scale consensus reaching processes with uninorm aggregation operators
http://dx.doi.org/10.1016/j.asoc.2015.02.040
Applied Soft Computing, vol. 35, pp. 873-887, 2015.
Francisco José Quesada, Francisco Moya, Macarena Espinilla, Luis Martínez, Chris Nugent
Feature Sub-set Selection for Activity Recognition
10.1007/978-3-319-19312-0_27
2015-Icost-FJQuesada.pdf115.41 KB
“Feature Sub-set Selection for Activity Recognition”, in Inclusive Smart Cities and e-Health, 2015, vol. 9102, pp. 307-312.
Francisco José Quesada, Francisco Moya, Javier Medina, Luis Martínez, Chris Nugent, Macarena Espinilla
Generation of a Partitioned Dataset with Single, Interleave and Multioccupancy Daily Living Activities
10.1007/978-3-319-26401-1_6
2015-Ucami-FJQuesada.pdf623.43 KB
“Generation of a Partitioned Dataset with Single, Interleave and Multioccupancy Daily Living Activities”, in Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information, 2015, vol. 9454, pp. 60-71.
Javier Medina, Francisco José Quesada, Macarena Espinilla
A Lightweight Distributed Architecture to Integrate Fuzzy Relevant Objects in Real-Time Environments
10.1007/978-3-319-26401-1_35
2015-Ucami-JMedina.pdf3.01 MB
“A Lightweight Distributed Architecture to Integrate Fuzzy Relevant Objects in Real-Time Environments”, in Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information, 2015, vol. 9454, pp. 375-386.
Macarena Espinilla, Francisco José Quesada, Francisco Moya, Luis Martínez, Chris Nugent
Reducing the Response Time for Activity Recognition Through use of Prototype Generation Algorithms
10.1007/978-3-319-19312-0_28
2015-Icost-MEspinilla.pdf113.05 KB
“Reducing the Response Time for Activity Recognition Through use of Prototype Generation Algorithms”, in Inclusive Smart Cities and e-Health, 2015, vol. 9102, pp. 313-318.
Francisco José Quesada, Iván Palomares, Luis Martínez
Using Computing with Words for Managing Non-cooperative Behaviors in Large Scale Group Decision Making
10.1007/978-3-319-16829-6_5
“Using Computing with Words for Managing Non-cooperative Behaviors in Large Scale Group Decision Making”, vol. 10, Springer International Publishing, 2015, pp. 97-121.
2014
Francisco José Quesada, Iván Palomares, Luis Martínez
Gestión de Expertos con Comportamientos no Cooperativos en Procesos de Consenso en Grandes Grupos
Palomares2014_ESTYLF.pdf1.92 MB
Zaragoza (Spain): Universidad de Zaragoza, ESTYLF, pp. 139-144, 2014.
Iván Palomares, Francisco José Quesada, Luis Martínez
An Approach based on Computing with Words to Manage Experts Behavior in Consensus Reaching Processes with Large Groups
Palomares2014_FUZZIEEE.pdf755.33 KB
“An Approach based on Computing with Words to Manage Experts Behavior in Consensus Reaching Processes with Large Groups”, 2014.
Francisco Moya, Jorge Castro, Francisco José Quesada, Iván Palomares, Luis Martínez
Improving group recommendations with consensus reaching processes
Abstract Eureka International Virtual Physical Meeting Eureka 2014.pdf26.7 KB
“Improving group recommendations with consensus reaching processes”, in Eureka International Virtual Physical Meeting Eureka 2014, 2014.
Francisco José Quesada, Iván Palomares, Luis Martínez
A Multi-agent System for Performing Consensus Processes in Heritage problems
Quesada2014_Patrimonun10.pdf110.56 KB
“A Multi-agent System for Performing Consensus Processes in Heritage problems”, 2014.
2013
Iván Palomares, Francisco José Quesada, Luis Martínez
Multi-agent based Semi-supervised Consensus Support System for Large-Scale Group Decision Making
Palomares2013_ISKE.pdf560.78 KB
“Multi-agent based Semi-supervised Consensus Support System for Large-Scale Group Decision Making”, 2013, vol. 277, pp. 241-251.
Iván Palomares, Francisco José Quesada, Luis Martínez
Sistema de Apoyo al Consenso para Problemas de Toma de Decisión en Grandes Grupos basado en una Plataforma Multi-Agente
Palomares2013_LFSC.pdf653.01 KB
Madrid (Spain): AEPIA, pp. 1260-1269, 2013.
2011
Iván Palomares, Pedro José Sánchez, Francisco José Quesada, Francisco Mata, Luis Martínez
COMAS: A Multi-agent System for Performing Consensus Processes
“COMAS: A Multi-agent System for Performing Consensus Processes”, vol. 91, Springer Berlin / Heidelberg, 2011, pp. 125-132.
2010
Francisco Mata, Pedro José Sánchez, Iván Palomares, Francisco José Quesada, Luis Martínez
COMAS: A Consensus Multi-Agent Based System
Mata2010_ISDA.pdf1001.45 KB
“COMAS: A Consensus Multi-Agent Based System”, 2010, pp. 457-462.