Explainable and Interpretable Models in Computer Vision and Machine Learning

The book "Explainable and Interpretable Models in Computer Vision and Machine Learning" offers a comprehensive collection of leading research papers on the development of explainable and interpretable methods in the field of machine learning, particularly in the context of computer vision. Despite remarkable advances in pattern recognition and the associated modeling techniques that achieve near-human performance, the explainability of these models remains a challenge. Readers are introduced to the topic of how the decisions of these models are made and what structural elements explain their functioning. The book aims to emphasize the necessity of explainability and interpretability in order to integrate machine learning into decision support systems that require human oversight. Written by internationally recognized researchers, it addresses key topics that are significant for further development in this area.