dr. Gonzalo Nápoles
Assistant Professor
TSHD: Tilburg School of Humanities and Digital Sciences
TSHD: Department of Cognitive Science and Artificial Intelligence
G.R.Napoles@tilburguniversity.edu
Room
D 126
Courses
- Knowledge Representation
- Data Mining for Business & Gov. (Fall)
- Master thesis/Data Science in Action
- Analysis of Customer Data (Fall)
- Data Mining for Business & Gov. (Spring)
Recent publications
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ExplainLFS: Explaining neural architectures for similarity learning f…
Bello, M., Costa, P., Nápoles, G., Mesejo, P., & Cordón, Ó. (2024). ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space. Information Fusion, 102407. -
REPROT - Explaining the predictions of complex deep learning architec…
Bello, M., Nápoles, G., Concepción, L., Bello, R., Mesejo, P., & Cordón, Ó. (2024). REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image. Information Sciences, 654, Article 119851. -
Fuzzy Cognitive Maps: Best Practices and Modern Methods
Giabbanelli, P. J., & Nápoles, G. (2024). Fuzzy Cognitive Maps: Best Practices and Modern Methods. Springer Nature. -
Forward Composition Propagation for Explainable Neural Reasoning
Grau, I., Nápoles, G., Bello, M., Salgueiro, Y., & Jastrzebska, A. (2024). Forward Composition Propagation for Explainable Neural Reasoning. IEEE Computational Intelligence Magazine, 19(1), 26-35. -
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cogni…
Grau, I., Nápoles, G., Hoitsma, F., Koumeri, L. K., & Vanhoof, K. (2024). Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps. In Intelligent Systems Conference (pp. 745-764)