Publicaciones en colaboración con investigadores/as de Universidad de Córdoba (12)

2024

  1. Distributed Stochastic Model Predictive Control for Scheduling Deterministic Peer-to-Peer Energy Transactions Among Networked Microgrids With Hybrid Energy Storage Systems

    IEEE Access, Vol. 12, pp. 44539-44552

2021

  1. Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources

    Journal of Computing in Higher Education, Vol. 33, Núm. 3, pp. 614-634

  2. Introduction to the special issue on Methods and applications in the analysis of social data in healthcare

    Information Processing and Management

2020

  1. Predicting students’ performance using emotion detection from face-recording video when interacting with an ITS

    Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020

2019

  1. Preface

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

2017

  1. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1238-1249

  2. Mining association rules in R using the package RKEEL

    IEEE International Conference on Fuzzy Systems

2016

  1. Educational process mining: A tutorial and case study using moodle data sets

    Data Mining And Learning Analytics: Applications in Educational Research (Wiley Blackwell), pp. 1-28

  2. RKEEL: Using KEEL in R code

    2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

2014

  1. Clustering for improving Educational process mining

    ACM International Conference Proceeding Series

2010

  1. Introduction to the experimental design in the data mining tool KEEL

    Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies (IGI Global), pp. 1-25

2009

  1. KEEL: A software tool to assess evolutionary algorithms for data mining problems

    Soft Computing, Vol. 13, Núm. 3, pp. 307-318