N. Díaz-Rodríguez

Most-cited papers

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

   Alexandre Heuillet, Fabien Couthouis, N. Díaz-Rodríguez

   2021IEEE Computational Intelligence Magazine105 citations Open access

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2. A Practical Tutorial on Explainable AI Techniques

   Adrien Bennetot, Ivan Donadello, Ayoub El Qadi El Haouari, M. Dragoni +9 more

   2024ACM Computing Surveys103 citations Open access

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3. Generating Physically-Consistent Satellite Imagery for Climate Visualizations

   Bjorn Lutjens, Brandon Leshchinskiy, O. Boulais, F. Chishtie +10 more

   2021IEEE Transactions on Geoscience and Remote Sensing28 citations Open access

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

   Ikram Chraibi Kaadoud, Adrien Bennetot, B. Mawhin, V. Charisi +1 more

   2022Neural Networks23 citations Open access

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

   Ayoub El Qadi, Maria Trocan, N. Díaz-Rodríguez, Thomas Frossard

   2022Signal, Image and Video Processing15 citations

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6. Spectral PINNs: Fast Uncertainty Propagation with Physics-Informed Neural Networks

   B. Leshchinskiy, C. Requena-Mesa, F. Chishtie, N. Díaz-Rodríguez +2 more

   202113 citations

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7. Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts

   Ayoub El Qadi, N. Díaz-Rodríguez, Maria Trocan, Thomas Frossard

   2021arXiv.org11 citations

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8. Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models

   Ayoub El-Qadi, Maria Trocan, Thomas Frossard, N. Díaz-Rodríguez

   2022International ACM Conference on Management of Emergent Digital EcoSystems2 citations

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9. CUBIC: Concept Embeddings for Unsupervised Bias Identification using VLMs

   D. Méndez, G. Bontempo, Elisa Ficarra, Roberto Confalonieri +1 more

   2025IEEE International Joint Conference on Neural Network1 citations Open access

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10. Shear resistance in high-strength concrete beams without shear reinforcement: A new insight from a structured implementation of Explainable Artificial Intelligence

    Masoud Haghbin, M. L. Jalón, N. Díaz-Rodríguez, J. Chiachío

    2025Open Research Europe1 citations Open access

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

    Pankayaraj Pathmanathan, N. Díaz-Rodríguez, J. del Ser

    2023Cognitive Computation1 citations Open access

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12. The Importance of Being Statistically Earnest: A Critical Re-evaluation of GSM-Symbolic

    Dominika Agnieszka Dlugosz, Arlindo L. Oliveira, N. Díaz-Rodríguez

    2026arXiv.org0 citations

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13. Low-cost concept-based localized explanations: How far can we get with training-free approaches?

    Darian Fernández-Gutiérrez, Rafael Bello, Marilyn Bello, N. Díaz-Rodríguez

    2026Conference on Algebraic Informatics0 citations Open access

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14. CUBIC: Unsupervised Detection of Conceptual Biases via Vision-Language Embeddings

    David Méndez, G. Bontempo, Elisa Ficarra, Roberto Confalonieri +1 more

    2025Information Systems Frontiers0 citations

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15. A Deep Generative XAI Framework for Natural Language Inference Explanations Generation

    Alejandro Barredo Arrieta, N. Díaz-Rodríguez, J. del Ser, Adrien Bennetot +39 more

    20210 citations

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16. Neural-symbolic Learning and Reasoning 1 Executive Summary 52 14381 – Neural-symbolic Learning and Reasoning on Extracting Rules For: Enriching Ontological Knowledge Bases, Complementing Heterogeneous Sources of Information, Empowering the Reasoning Process Dreaming and Consciousness in Deep Neural-

    A. S. d'Avila Garcez, Marco Gori, P. Hitzler, L. Lamb +80 more

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