CIENCIAS DE LA COMPUTACIÓN E INTELIGENCIA ARTIFICIAL
DEPARTAMENTO
Universidad de Murcia
Murcia, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Murcia (54)
2021
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A new methodology to speed-up fuel lattice design optimization using decision trees and new objective functions
Annals of Nuclear Energy, Vol. 161
2019
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Snomed2Vec: Representation of SNOMED CT terms with Word2Vec
Proceedings - IEEE Symposium on Computer-Based Medical Systems
2018
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Methodology for integrated fuel lattice and fuel load optimization using population-based metaheuristics and decision trees
Progress in Nuclear Energy, Vol. 104, pp. 264-270
2016
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Gene priorization for tumor classification using an embedded method
Studies in Computational Intelligence (Springer Verlag), pp. 363-380
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Prediction of 3D nuclear reactor's operational parameters from 2D fuel lattice design information: A data mining approach
Progress in Nuclear Energy, Vol. 91, pp. 97-106
2015
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Disruption of circadian rhythms and delirium, sleep impairment and sepsis in critically ill patients. potential therapeutic implications for increased light-dark contrast and melatonin therapy in an ICU environment
Current Pharmaceutical Design, Vol. 21, Núm. 24, pp. 3453-3468
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Nuclear fuel lattice performance analysis by data mining techniques
Annals of Nuclear Energy, Vol. 80, pp. 236-247
2014
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Application of data mining methods for classification and prediction of olive oil blends with other vegetable oils
Analytical and Bioanalytical Chemistry, Vol. 406, Núm. 11, pp. 2591-2601
2013
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Mining generalized temporal patterns based on fuzzy counting
Expert Systems with Applications, Vol. 40, Núm. 4, pp. 1296-1304
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Using a fuzzy decision tree ensemble for tumor classification from gene expression data
IJCCI 2013 - Proceedings of the 5th International Joint Conference on Computational Intelligence
2010
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A quality evaluation methodology for health-related websites based on a 2-tuple fuzzy linguistic approach
Soft Computing, Vol. 14, Núm. 8, pp. 887-897
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An extension of the OeLE platform for generating semantic feedback for students and teachers
Procedia - Social and Behavioral Sciences
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Analyzing consensus approaches in fuzzy group decision making: Advantages and drawbacks
Soft Computing, Vol. 14, Núm. 5, pp. 451-463
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Debugging complex software systems by means of pathfinder networks
Information Sciences, Vol. 180, Núm. 5, pp. 561-583
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Fuzzy linear programming in practice: An application to the spanish football league
Studies in Fuzziness and Soft Computing, Vol. 254, pp. 503-528
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Generation of useful semantic feedback for students and teachers
CSEDU 2010 - 2nd International Conference on Computer Supported Education, Proceedings
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Using knowledge discovery in cooperative strategies: Two case studies
Studies in Computational Intelligence
2009
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A computer-supported learning system to help teachers to teach Fuzzy Information Retrieval Systems
Information Retrieval, Vol. 12, Núm. 2, pp. 179-200
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A consensus model for group decision making with incomplete unbalanced fuzzy linguistic preference relations
2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings
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A hybrid meta-heuristic to solve the portfolio selection problem
2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings