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Nebot Castells, Maria Angela

Total activity: 198

Scientific and technological production

1 to 50 of 198 results
 
  • Fuzzy Methodologies applied to Holistic Seismic Risk Estimation

    Department of Computer Science, Instituto Universitario di Studi Superiori di Pavia
    Theses
  • A flexible fuzzy inductive reasoning approach for load modelling able to cope with missing data  Open access

     Jurado, S.; Nebot, M.; Mugica, F.
    International Conference on Simulation Tools and Techniques
    p. 349-356
    DOI: 10.4108/eai.24-8-2015.2261022
    Presentation's date: 2015-08-25
    Presentation of work at congresses
    Access to the full text
  • A hierarchical perspective to fuzzy inductive reasoning: an attempt to obtain more understandable fuzzy inductive reasoning rules

     Bagherpour, S.; Mugica, F.; Nebot, M.
    IEEE International Conference on Fuzzy Systems
    p. 1-8
    DOI: 10.1109/FUZZ-IEEE.2015.7338067
    Presentation's date: 2015-08-04
    Presentation of work at congresses
  • A fuzzy inductive approach for rule-based modelling of high level structures in algorithmic composition systems

     Mugica, F.; Paz Ortiz, I.; Nebot, M.; Romero, E.
    IEEE International Conference on Fuzzy Systems
    p. 1-8
    DOI: 10.1109/FUZZ-IEEE.2015.7337968
    Presentation's date: 2015-08
    Presentation of work at congresses
  • Tackling non-linearity in seismic risk estimation using Fuzzy methods

     González, R.; Nebot, M.; Mugica, F.; Crowley, H.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 532-541
    Presentation's date: 2015-07-23
    Presentation of work at congresses
  • Modeling wine preferences from physicochemical properties using fuzzy techniques

     Nebot, M.; Mugica, F.; Escobet, A.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 501-507
    Presentation's date: 2015-07-22
    Presentation of work at congresses
  • Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques

     Jurado, S.; Nebot, M.; Mugica, F.; Avellana, N.
    Energy
    Vol. 86, p. 276-291
    DOI: 10.1016/j.energy.2015.04.039
    Date of publication: 2015-06-15
    Journal article
  • Social aggravation estimation to seismic hazard using classical fuzzy methods

     González, R.; Nebot, M.; Mugica, F.; Carreño, M.L.; Barbat, A. H.
    DOI: 10.1007/978-3-319-26470-7
    Date of publication: 2015
    Book chapter
    Image
  • A weighted Cramér’s V Index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors

     Vellido, A.; Halka, C.; Nebot, M.
    International Work-Conference on Bioinformatics and Biomedical Engineering
    p. 536-547
    DOI: 10.1007/978-3-319-16483-0_52
    Presentation of work at congresses
  • Using the Fuzzy Inductive Reasoning methodology to improve coherence in algorithmic musical beat patterns  Open access

     Paz-Ortiz, I.; Nebot, M.; Mugica, F.; Romero, E.
    DOI: 10.3233/978-1-61499-452-7-289
    Date of publication: 2014-10-23
    Book chapter
    Access to the full text
  • Hierarchical fuzzy inductive reasoning classifier

     Bagherpour, S.; Nebot, M.; Mugica, F.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 434-442
    Presentation's date: 2014-08-30
    Presentation of work at congresses
  • A holistic seismic risk scheme using fuzzy sets

     González, R.; Nebot, M.; Mugica, F.; Carreño, M.L.; Barbat, A. H.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 828-835
    Presentation's date: 2014-08-29
    Presentation of work at congresses
  • PEM fuel cell fault diagnosis via a hybrid methodology based on fuzzy and pattern recognition techniques  Open access

     Escobet, A.; Nebot, M.; Mugica, F.
    Engineering applications of artificial intelligence
    Vol. 36, p. 40-53
    DOI: 10.1016/j.engappai.2014.07.008
    Date of publication: 2014-08
    Journal article
    Access to the full text
  • Exploration of Customer Churn Routes Using Machine Learning Probabilistic Models  Open access

    Department of Computer Science, Universitat Politècnica de Catalunya
    Theses
  • Small-particle pollution modeling using fuzzy approaches

     Nebot, M.; Mugica, F.
    DOI: 10.1007/978-3-319-03581-9
    Date of publication: 2014
    Book chapter
    Image
  • Fuzzy models: Easier to understand and an easier way to handle uncertainties in climate change research

     Gay, C.; Sánchez, O.; Martínez-López, B.; Nebot, M.; Estrada, F.
    DOI: 10.1007/978-3-319-03581-9
    Date of publication: 2014
    Book chapter
    Image
  • Towards the development of the smart grid: fast electricity load forecasting using different hybrid approaches

     Jurado, S.; Mugica, F.; Nebot, M.; Avellana, N.
    Congrés Internacional de l’Associació Catalana d’Intel·ligència Artificial
    p. 185-188
    DOI: 10.3233/978-1-61499-320-9-185
    Presentation's date: 2013-10
    Presentation of work at congresses
  • Fuzzy approaches improve predictions of energy performance of buildings

     Nebot, M.; Mugica, F.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 504-511
    Presentation's date: 2013-07-31
    Presentation of work at congresses
  • Mobile App and Website for major depression monitoring

     Nebot, M.; Mugica, F.; Abdollahi, L.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 605-612
    Presentation's date: 2013-07-30
    Presentation of work at congresses
  • Short-term electric load forecasting using computational intelligence methods

     Jurado, S.; Peralta, J.; Nebot, M.; Mugica, F.; Cortez, P.
    IEEE International Conference on Fuzzy Systems
    p. 1-8
    DOI: 10.1109/FUZZ-IEEE.2013.6622523
    Presentation's date: 2013-07-09
    Presentation of work at congresses
  • Cartogram visualization for nonlinear manifold learning models

     Vellido, A.; Garcia, D.; Nebot, M.
    Data mining and knowledge discovery
    Vol. 27, num. 1, p. 22-54
    DOI: 10.1007/s10618-012-0294-6
    Date of publication: 2013-07-01
    Journal article
  • Telecommunications customers churn monitoring using flow maps and cartogram visualization

     Garcia, D.; Nebot, M.; Vellido, A.
    International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications
    p. 451-460
    Presentation's date: 2013-02
    Presentation of work at congresses
  • Towards the development of the smart grid: fast electricity load forecasting using different hybrid approaches

     Jurado, S.; Mugica, F.; Nebot, M.; Avellana, N.
    DOI: 10.3233/978-1-61499-320-9-185
    Date of publication: 2013
    Book chapter
    Image
  • Visualizing pay-per-view television customers churn using cartograms and flow maps

     García, D.; Nebot, M.; Vellido, A.
    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
    p. 567-572
    Presentation of work at congresses
  • Generació de decisions davant d'incerteses  Open access

     Escobet, A.
    Institute of Industrial and Control Engineering, Universitat Politècnica de Catalunya
    Theses
  • MADRIM: a major depression remote intelligent monitor

     Mugica, F.; Nebot, M.; Bagherpour, S.; Serrano-Blanco, A.; Baladón, L.
    IEEE International Conference on Fuzzy Systems
    DOI: 10.1109/FUZZ-IEEE.2012.6251148
    Presentation's date: 2012-06
    Presentation of work at congresses
  • Genetic learning of fuzzy parameters in predictive and decision support modelling

     Nebot, M.; Mugica, F.; Castro, F.; Acosta, J.
    An international journal on computational intelligence techniques, methods and applications (Online)
    Vol. 5, num. 2, p. 387-402
    DOI: 10.1080/18756891.2012.685328
    Date of publication: 2012-04
    Journal article
  • Quantitative and qualitative approaches for stock movement prediction

     Petchamé, J.; Nebot, M.; Alquezar, R.
    Date of publication: 2012
    Book chapter
    Image
  • Fuzzy inductive reasoning: a consolidated approach to data-driven construction of complex dynamical systems

     Nebot, M.; Mugica, F.
    International journal of general systems
    Vol. 41, num. 7, p. 645-665
    DOI: 10.1080/03081079.2012.691203
    Date of publication: 2012
    Journal article
  • Quantitative and qualitative approaches for stock movement prediction

     Petchamé, J.; Nebot, M.; Alquezar, R.
    International Conference of the Catalan Association for Artificial Intelligence
    p. 233-242
    DOI: 10.3233/978-1-61499-139-7-233
    Presentation's date: 2012
    Presentation of work at congresses
  • Prediction of PM2.5 concentrations using fuzzy inductive reasoning in Mexico city

     Nebot, M.; Mugica, F.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 527-533
    Presentation's date: 2012
    Presentation of work at congresses
  • Simple fuzzy logic models to estimate the global temperature change due to GHG emissions

     Gay, C.; Sánchez, O.; Martínez, B.; Nebot, M.; Estrada, F.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 518-526
    Presentation's date: 2012
    Presentation of work at congresses
  • A framework to provide real time useful knowledge in e-learning environments

     Nebot, M.; Mugica, F.; Castro, F.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 103-108
    Presentation's date: 2012
    Presentation of work at congresses
  • A major depression patient evolution model based on qualitative reasoning

     Mugica, F.; Bagherpour, S.; Nebot, M.; Serrano-Blanco, A.; Baladón, L.
    Congrés Internacional de l’Associació Catalana d’Intel·ligència Artificial
    p. 147-156
    Presentation's date: 2011-10-27
    Presentation of work at congresses
  • Fuzzy approaches for modeling dynamical ecological systems

     Nebot, M.; Mugica, F.; Martínez-López, B.; Gay, C.
    International Conference on Simulation and Modeling Methodologies, Technologies and Applications
    p. 374-379
    Presentation's date: 2011-07-30
    Presentation of work at congresses
  • Robust fault detection and identification in a fuel cell system via fuzzy models

     Escobet, A.; Nebot, M.; Mugica, F.
    International Conference on Control Systems and Computer Science
    p. 150-257
    Presentation's date: 2011-05-26
    Presentation of work at congresses
  • Fault diagnosis system based on fuzzy logic: application to a valve actuator benchmark

     Escobet, A.; Nebot, M.; Cellier, F.
    Journal of intelligent and fuzzy systems
    Vol. 22, num. 4, p. 155-171
    DOI: 10.3233/IFS-2011-0473
    Date of publication: 2011-05-09
    Journal article
  • On the extraction of decision support rules from fuzzy predictive models

     Castro, F.; Nebot, M.; Mugica, F.
    Applied soft computing
    Vol. 11, num. 4, p. 3463-3475
    DOI: 10.1016/j.asoc.2011.01.018
    Date of publication: 2011
    Journal article
  • Detecció de fallades en un sistema de piles de combustible  Open access

     Escobet, A.; Nebot, M.
    Date: 2010-02-15
    Report
    Access to the full text
  • Confidence measures for predictions in fuzzy inductive reasoning

     Cellier, F.E.; Lopez, J.; Nebot, M.; Cembrano, M.
    International journal of general systems
    Vol. 39, num. 8, p. 839-853
    DOI: 10.1080/03081079.2010.506180
    Date of publication: 2010
    Journal article
  • Clustering educational data

     Vellido, A.; Castro, F.; Nebot, M.
    Date of publication: 2010
    Book chapter
    Image
  • AIDTUMOUR: HERRAMIENTAS BASADAS EN METODOS DE INTELIGENCIA ARTIFICIAL PARA EL APOYO A LA DECISION EN

     Nebot, M.; Mugica, F.; Belanche, Ll.; Romero, E.; Vellido, A.
    Competitive project
  • Fuzzy predictive models to help teachers in e-learning courses

     Nebot, M.; Mugica, F.; Castro, F.
    IEEE International Joint Conference on Neural Networks
    p. 2077-2083
    DOI: 10.1109/IJCNN.2010.5596582
    Presentation's date: 2010
    Presentation of work at congresses
  • Genetic fuzzy system for predictive and decision support modelling in e-learning

     Nebot, M.; Mugica, F.; Castro, F.; Acosta, J.
    International Conference on Complex Medical Engineering
    p. 1804-1811
    DOI: 10.1109/FUZZY.2010.5584229
    Presentation's date: 2010
    Presentation of work at congresses
  • Fault detection and identification in a fuel cell system

     Escobet, A.; Nebot, M.
    International Conference of the Catalan Association for Artificial Intelligence
    p. 399-408
    Presentation's date: 2009-10
    Presentation of work at congresses
  • Rule-based assistance to brain tumour diagnosis using LR-FIR

     Nebot, M.; Castro, F.; Vellido, A.; Julià, M.; Arús, C.
    Date of publication: 2009-01-31
    Book chapter
    Image
  • PM composition and source reconciliation in Mexico City

     Mugica, V.; Ortiz, E.; Molina, L.; De Vizcaya-Ruiz, A.; Nebot, M.; Quintana, R.; Aguilar, J.; Alcántara, E.
    Atmospheric environment
    Vol. 43, num. 32, p. 5068-5074
    DOI: 10.1016/j.atmosenv.2009.06.051
    Date of publication: 2009
    Journal article
  • Causal relevance to improve the prediction accuracy of dynamical systems using inductive reasoning

     Nebot, M.; Mugica, F.; Castro, F.
    International journal of general systems
    Vol. 38, num. 3, p. 331-358
    DOI: 10.1080/03081070802614247
    Date of publication: 2009
    Journal article
  • Fuzzy inductive reasoning for variable selection analysis and modelling of biological systems

     Nebot, M.; Carvajal, R.; Mugica, F.; Cellier, F.
    International journal of general systems
    Vol. 38, num. 8, p. 793-811
    DOI: 10.1080/03081070903271095
    Date of publication: 2009
    Journal article
  • dETECCIÓN DE ESTUDIANTES CON COMPORTAMIENTO ATÍPICO

     Vellido, A.; Nebot, M.; Castro, F.; Minguillón, J.
    Date of publication: 2008-10-31
    Book chapter