Publicaciones (35) Publicaciones de ALEJANDRO RAMOS SOTO

2023

  1. Analysis of automated guided vehicles performance based on process mining techniques

    Data Technologies and Applications

  2. Detecting Model Changes in Organisational Processes: A Cloud-Based Approach

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

2018

  1. Adapting SimpleNLG to Galician language

    INLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference

  2. Characterizing Quantifier Fuzzification Mechanisms: A behavioral guide for applications

    Fuzzy Sets and Systems, Vol. 345, pp. 1-23

  3. Descripciones lingüísticas de datos de observación meteorológica usando temple simulado

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

  4. Explainable AI beer style classifier

    CEUR Workshop Proceedings

  5. Meteorologists and students: A resource for language grounding of geographical descriptors

    INLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference

  6. Modelado borroso de referencias geográficas textuales sobre datos de expertos

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

  7. Reinterpreting interpretability for fuzzy linguistic descriptions of data

    Communications in Computer and Information Science

  8. Using fuzzy sets in a data-to-text system for business service intelligence

    Advances in Intelligent Systems and Computing

2017

  1. Adapting SimpleNLG to Spanish

    INLG 2017 - 10th International Natural Language Generation Conference, Proceedings of the Conference

  2. An empirical approach for modeling fuzzy geographical descriptors

    IEEE International Conference on Fuzzy Systems

  3. An exploratory study on the benefits of using natural language for explaining fuzzy rule-based systems

    IEEE International Conference on Fuzzy Systems