Publicacions (90) Publicacions de JORGE CASILLAS BARRANQUERO

2024

  1. Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning

    IEEE International Conference on Fuzzy Systems

  2. Predicting Academic Success of College Students Using Machine Learning Techniques

    Data, Vol. 9, Núm. 4

2023

  1. Bias and Discrimination in Machine Decision-Making Systems

    International Library of Ethics, Law and Technology (Springer Science and Business Media B.V.), pp. 13-38

2021

  1. A Streaming Approach for Association Rule Analysis of Spanish Politics on Twitter

    Communications in Computer and Information Science

  2. Facing Many Objectives for Fairness in Machine Learning

    Communications in Computer and Information Science

  3. How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness

    International Journal of Intelligent Systems, Vol. 36, Núm. 4, pp. 1619-1643

2020

  1. Predictive capability testing and sensitivity analysis of a model for building energy efficiency

    Building Simulation, Vol. 13, Núm. 1, pp. 33-50

2019

  1. Concept drift detection in histogram-based straightforward data stream prediction

    IEEE International Conference on Data Mining Workshops, ICDMW

2018

  1. Adaptive fuzzy partitions for evolving association rules in big data stream

    International Journal of Approximate Reasoning, Vol. 93, pp. 463-486

  2. Alzheimer's disease computer-aided diagnosis: Histogram-based analysis of regional mri volumes for feature selection and classification

    Journal of Alzheimer's Disease, Vol. 65, Núm. 3, pp. 819-842

  3. Assessing web sites quality: A systematic literature review by text and association rules mining

    International Journal of Information Management, Vol. 38, Núm. 1, pp. 201-216

  4. Reglas de asociación en flujos de datos para monitorizar actividad de teléfonos móviles

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  5. Suitability analysis of modeling and assessment approaches in energy efficiency in buildings

    Energy and Buildings, Vol. 158, pp. 1662-1682

2017

  1. Energy consumption modeling by machine learning from daily activity metering in a hospital

    IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

2016

  1. Analyzing the effect of variables in the software development effort estimation

    IEEE Latin America Transactions, Vol. 14, Núm. 8, pp. 3797-3803

  2. Evolving association streams

    Information Sciences, Vol. 334-335, pp. 250-272

  3. Software Development Effort Estimation based-on multiple classifier system and Lines of Code

    IEEE Latin America Transactions, Vol. 14, Núm. 8, pp. 3907-3913

2014

  1. Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model

    Transportation Research Part C: Emerging Technologies, Vol. 42, pp. 147-167

2013

  1. A soft-computing-based method for the automatic discovery of fuzzy rules in databases: Uses for academic research and management support in marketing

    Journal of Business Research, Vol. 66, Núm. 9, pp. 1332-1337

  2. Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights

    Industrial Marketing Management, Vol. 42, Núm. 4, pp. 489-495