Publicaciones (64) Publicaciones de FRANCISCO G.RAÚL PÉREZ RODRÍGUEZ

2024

  1. QChi: A Faster Classification Algorithm Based on Wang-Mendel Algorithm

    IEEE Transactions on Fuzzy Systems, Vol. 32, Núm. 4, pp. 2261-2271

2023

  1. Application of explainable artificial intelligence to analyze basic features of a tender

    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023

2022

  1. A new multi-rules approach to improve the performance of the Chi fuzzy rule classification algorithm

    IEEE International Conference on Fuzzy Systems

  2. Analyzing Driver Behavior Compliance under HoS Regulations

    International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings

  3. Automating the decision making process of Todd's age estimation method from the pubic symphysis with explainable machine learning

    Information Sciences, Vol. 612, pp. 514-535

  4. Efficient inference models for classification problems with a high number of fuzzy rules[Formula presented]

    Applied Soft Computing, Vol. 115

  5. Learning to select goals in Automated Planning with Deep-Q Learning[Formula presented]

    Expert Systems with Applications, Vol. 202

2021

  1. A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Discovering relational and numerical expressions from plan traces for learning action models

    Applied Intelligence, Vol. 51, Núm. 11, pp. 7973-7989

2020

  1. A preliminary study to apply the Quine McCluskey algorithm for fuzzy rule base minimization

    IEEE International Conference on Fuzzy Systems

  2. A preliminary study to apply the Quine McCluskey algorithm for fuzzy rule base minimization

    2020 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)

  3. Driver activity recognition by means of temporal HTN planning

    Proceedings International Conference on Automated Planning and Scheduling, ICAPS

2019

  1. A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL

    IEEE International Conference on Fuzzy Systems

  2. An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models

    Cognitive Computation, Vol. 11, Núm. 3, pp. 347-366

  3. An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm

    Applied Soft Computing Journal, Vol. 78, pp. 13-28

  4. Reasoning methods in fuzzy rule-based classification systems for big data problems

    IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

2018

  1. Learning planning action models with numerical information and logic relationships using classification techniques

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Using inductive rule learning techniques to learn planning domains

    Communications in Computer and Information Science

2017

  1. Incremental fuzzy learning algorithms in big data problems: A study on the size of learning subsets

    IEEE International Conference on Fuzzy Systems

2016

  1. Extensions of the DECO3R algorithm for generating compact and cooperating fuzzy rule-based classification systems

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