Publicacións (159) Publicacións de JOSE MARIA ALONSO MORAL Ver datos de investigación referenciados.

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2025

  1. The role of user feedback in enhancing understanding and trust in counterfactual explanations for explainable AI

    International Journal of Human Computer Studies, Vol. 199

2024

  1. An Empirical Study on the Number of Items in Human Evaluation of Automatically Generated Texts

    Procesamiento del lenguaje natural, Núm. 72, pp. 45-55

  2. An Operational Framework for Guiding Human Evaluation in Explainable and Trustworthy Artificial Intelligence

    IEEE Intelligent Systems, Vol. 39, Núm. 1, pp. 18-28

  3. CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence

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

  4. DeepR3: Reducing, Reusing and Recycling Large Models for Developing Responsible and Green Language Technologies

    CEUR Workshop Proceedings

  5. Enriching interactive explanations with fuzzy temporal constraint networks

    International Journal of Approximate Reasoning, Vol. 171

  6. How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained]

    IEEE Computational Intelligence Magazine, Vol. 19, Núm. 1, pp. 81-82

  7. Information-seeking dialogue for explainable artificial intelligence: Modelling and analytics

    Argument and Computation, Vol. 15, Núm. 1, pp. 49-107

  8. Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem

    IEEE Intelligent Systems, Vol. 39, Núm. 4, pp. 37-48

  9. Preface

    Frontiers in Artificial Intelligence and Applications

  10. Preface of the Proceedings of the Workshop on Multimodal, Affective and Interactive eXplainable Artificial Intelligence (MAI-XAI), collocated with the European Conference on Artificial Intelligence (ECAI), 2024

    CEUR Workshop Proceedings

  11. Sexism Detection on a Data Diet

    Companion Proceedings of the 16th ACM Web Science Conference, Websci Companion 2024 - Reflecting on the Web, AI and Society

  12. TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing

    IEEE Access, Vol. 12, pp. 138870-138880

2023

  1. A Confusion Matrix for Evaluating Feature Attribution Methods

    IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

  2. An art painting style explainable classifier grounded on logical and commonsense reasoning

    Soft Computing

  3. Beyond Prediction Similarity: ShapGAP for Evaluating Faithful Surrogate Models in XAI

    Communications in Computer and Information Science

  4. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

    Information Fusion, Vol. 99

  5. Exploring the balance between interpretability and performance with carefully designed constrainable Neural Additive Models

    Information Fusion, Vol. 99

  6. Investigating Human-Centered Perspectives in Explainable Artificial Intelligence

    CEUR Workshop Proceedings

  7. Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP

    ACL 2023 - 4th Workshop on Insights from Negative Results in NLP, Proceedings