Argitalpenak (142) Jose Manuel Cadenas Figueredo argitalpenak

2023

  1. A Methodology Based on Machine Learning and Soft Computing to Design More Sustainable Agriculture Systems

    Sensors (Basel, Switzerland), Vol. 23, Núm. 6

2022

  1. Evaporation Forecasting through Interpretable Data Analysis Techniques

    Electronics (Switzerland), Vol. 11, Núm. 4

2021

  1. A new methodology to speed-up fuel lattice design optimization using decision trees and new objective functions

    Annals of Nuclear Energy, Vol. 161

2020

  1. Development of an application to make knowledge available to the farmer: Detection of the most suitable crops for a more sustainable agriculture

    Journal of Ambient Intelligence and Smart Environments, Vol. 12, Núm. 5, pp. 419-432

  2. Making decisions for frost prediction in agricultural crops in a soft computing framework

    Computers and Electronics in Agriculture, Vol. 175

  3. Towards the Characterization of Agricultural Regions Based on Weather Conditions – Sustainable Agriculture

    Intelligent Environments 2020 Workshop Proceedings of the 16th International Conference on Intelligent Environments (IOS Press), pp. 143-151

2019

  1. Minimum Temperature Prediction Models in Plots to Forecast Frost in Crops

    Agriculture and environment perspectives in intelligent systems (IOS Press), pp. 91-106

  2. Preface

    Studies in Computational Intelligence

2018

  1. A Preliminary Study to Solve Crop Frost Prediction Using an Intelligent Data Analysis Process

    INTELLIGENT ENVIRONMENTS 2018

  2. A fuzzy K-nearest neighbor classifier to deal with imperfect data

    Soft Computing, Vol. 22, Núm. 10, pp. 3313-3330

  3. A k-nearest neighbors based approach applied to more realistic activity recognition datasets

    Journal of Ambient Intelligence and Smart Environments

  4. Intelligent data analysis, soft computing and imperfect data

    Studies in Fuzziness and Soft Computing (Springer Verlag), pp. 25-43

  5. 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

  6. Towards an app based on FIWARE architecture and data mining with imperfect data

    Communications in Computer and Information Science

2017

  1. A more realistic k-nearest neighbors method and its possible applications to everyday problems

    Proceedings - 2017 13th International Conference on Intelligent Environments, IE 2017

  2. Preface

    Studies in Computational Intelligence

  3. Una revisión del modelado del conocimiento acerca del diseño arquitectónico

    Academia XXII: revista semestral de investigación, Vol. 8, Núm. 15, pp. 70-85

2016

  1. Case of study: Photovoltaic faults recognition method based on data mining techniques

    Journal of Renewable and Sustainable Energy, Vol. 8, Núm. 4

  2. Computational intelligence: International joint conference, IJCCI 2014 Rome, Italy, october 22–24, 2014 revised selected papers

    Studies in Computational Intelligence

  3. Foreword

    IJCCI 2016 - Proceedings of the 8th International Joint Conference on Computational Intelligence