DANIEL SÁNCHEZ FERNÁNDEZ-rekin lankidetzan egindako argitalpenak (43)

2024

  1. Count-based Flexible Queries Through RL-Instances

    IEEE International Conference on Fuzzy Systems

2020

  1. A preliminary approach to referring to groups of objects in images

    IEEE International Conference on Fuzzy Systems

  2. Specificity measures based on fuzzy set similarity

    Fuzzy Sets and Systems, Vol. 401, pp. 189-199

2019

  1. Referring under Uncertainty

    IEEE International Conference on Fuzzy Systems

2018

  1. An approximation to context-aware size modeling for referring expression generation

    IEEE International Conference on Fuzzy Systems

  2. Specificity Measures and Referential Success

    IEEE Transactions on Fuzzy Systems, Vol. 26, Núm. 2, pp. 859-868

  3. Specificity measures and reference

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

2017

  1. On families of bounded specificity measures

    IEEE International Conference on Fuzzy Systems

  2. Preface

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

  3. Referential success of set referring expressions with fuzzy properties

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

  4. Scene selection for teaching basic visual concepts in the Refer4Learning app

    IEEE International Conference on Fuzzy Systems

  5. Using k-specificity for the management of count restrictions in flexible querying

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

2016

  1. A measure of referential success based on alpha-cuts

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

  2. Fuzzy frameworks for mining data associations: fuzzy association rules and beyond

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 6, Núm. 2, pp. 50-69

  3. Fuzzy sets and systems + natural language generation: A step forward in the linguistic description of time series

    Fuzzy Sets and Systems