Responsible AI in the Enterprise is a comprehensive guide to ethical, transparent, and compliant AI systems, covering key concepts, tools, …
With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of …
Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build …
Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the …
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that …
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer …
AI doesn’t have to be a black box. These practical techniques help shine a light on your model’s mysterious inner …
Interpretable Machine Learning 2ed(2022) [Molnar] [9798411463330]
A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature …
This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While …
Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. …
This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms …
Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. …
Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, …
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field …
Since its first appearance, artificial intelligence has been ensuring revolutionary outcomes in the context of real-world problems. At this point, …
This book systematically reviews the progress of Explainable Ambient Intelligence (XAmI) and introduces its methods, tools, and applications.Ambient intelligence (AmI) …
The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. …
The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. …