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    Browsing by Author Mayuri Mehta

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    • Explainable AI: Foundations, Methodologies and Applications

      • Authors: Mayuri Mehta (2023)

    • This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas.
    • TVS.005035_(Artificial Intelligence-Enhanced Software and Systems Engineering, 5) Christophe Gaie, Mayuri Mehta - Recent Advances in Data and Algorith-1.pdf.jpg
    • Sách/Book

    • Recent Advances in Data and Algorithms for e-Government

      • Authors: Christophe Gaie (2023)

    • This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent.