Diana Laura Aguilar

ORCID: 0000-0003-2178-4193
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About
Contact & Profiles
Research Areas
  • Anomaly Detection Techniques and Applications
  • Explainable Artificial Intelligence (XAI)
  • Data Mining Algorithms and Applications
  • Adversarial Robustness in Machine Learning
  • Imbalanced Data Classification Techniques

Tecnológico de Monterrey
2021-2022

The importance of understanding and explaining the associated classification results in utilization artificial intelligence (AI) many different practical applications (e.g., cyber security forensics) has contributed to trend moving away from black-box / opaque AI towards explainable (XAI). In this article, we propose first interpretable autoencoder based on decision trees, which is designed handle categorical data without need transform representation. Furthermore, our proposed provides a...

10.1109/tdsc.2022.3148331 article EN IEEE Transactions on Dependable and Secure Computing 2022-02-04
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