Publicaciones en las que colabora con JUAN ANTONIO RECIO GARCÍA (14)

2024

  1. Case-based selection of explanation methods for neural network image classifiers

    Knowledge-Based Systems, Vol. 288

2023

  1. A graph-based approach for minimising the knowledge requirement of explainable recommender systems

    Knowledge and Information Systems, Vol. 65, Núm. 10, pp. 4379-4409

  2. Local model-agnostic explanations for black-box recommender systems using interaction graphs and link prediction techniques

    IJIMAI, Vol. 8, Núm. 2, pp. 202-212

  3. Selecting Explanation Methods for Intelligent IoT Systems: A Case-Based Reasoning Approach

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

  4. The Current and Future Role of Visual Question Answering in eXplainable Artificial Intelligence

    CEUR Workshop Proceedings

  5. iSeeE3 — The Explanation Experiences Editor

    SoftwareX, Vol. 21

2022

  1. Conceptual Modelling of Explanation Experiences Through the iSeeOnto Ontology

    CEUR Workshop Proceedings

  2. Using Case-Based Reasoning for Capturing Expert Knowledge on Explanation Methods

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

  3. iSee: Intelligent Sharing of Explanation Experiences

    CEUR Workshop Proceedings

2021

  1. Conceptual modeling of explainable recommender systems: An ontological formalization to guide their design and development

    Journal of Artificial Intelligence Research, Vol. 71, pp. 557-589

2020

  1. A User-Centric Evaluation to Generate Case-Based Explanations Using Formal Concept Analysis

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

2019

  1. An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs

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

  2. Explanation of Recommenders Using Formal Concept Analysis

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

  3. Personalized Case-Based Explanation of Matrix Factorization Recommendations

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