Publicaciones (53) Publicaciones de NATALIA ANA DÍAZ RODRÍGUEZ

2024

  1. On generating trustworthy counterfactual explanations

    Information Sciences, Vol. 655

  2. Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning

    Cognitive Computation, Vol. 16, Núm. 1, pp. 425-453

2023

  1. Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

    Information Fusion, Vol. 99

  2. Correction to: Feature contribution alignment with expert knowledge for artificial intelligence credit scoring (Signal, Image and Video Processing, (2023), 17, 2, (427-434), 10.1007/s11760-022-02239-7)

    Signal, Image and Video Processing

  3. Credit Risk Scoring Using a Data Fusion Approach

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

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

    Information Fusion, Vol. 99

  5. Feature contribution alignment with expert knowledge for artificial intelligence credit scoring

    Signal, Image and Video Processing, Vol. 17, Núm. 2, pp. 427-434

  6. Gender and sex bias in COVID-19 epidemiological data through the lens of causality

    Information Processing and Management, Vol. 60, Núm. 3

  7. Ontologies4SDGs: un repositorio abierto de recursos didácticos para la enseñanza de inteligencia artificial simbólica alineando objetivos docentes con los Objetivos de Desarrollo Sostenible de la Agenda 2030

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 8, pp. 395-398

  8. Responsible and human centric AI-based insurance advisors

    Information Processing and Management, Vol. 60, Núm. 3

  9. Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values

    Knowledge-Based Systems, Vol. 260

2022

  1. Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation

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

  2. Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values

    IEEE Computational Intelligence Magazine, Vol. 17, Núm. 1, pp. 59-71

  3. EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case

    Information Fusion, Vol. 79, pp. 58-83

  4. Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI

    Neural Networks, Vol. 155, pp. 95-118

  5. Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification

    Knowledge-Based Systems, Vol. 258

  6. Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

    Information Fusion, Vol. 79, pp. 263-278

  7. OG-SGG: Ontology-Guided Scene Graph Generation-A Case Study in Transfer Learning for Telepresence Robotics

    IEEE Access, Vol. 10, pp. 132564-132583

  8. On Children's Exploration, Aha! Moments and Explanations in Model Building for Self-Regulated Problem-Solving

    CEUR Workshop Proceedings

  9. PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries

    Information Sciences, Vol. 614, pp. 374-399