Автор: Nagrath, Preeti Название: Smart Distributed Embedded Systems for Healthcare Applications ISBN: 1032183470 ISBN-13(EAN): 9781032183473 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in the human body, which would ultimately lead to early diagnosis and better treatment and cure of diseases with the help of distributed technology. Covers the implementation models using technologies such as artificial intelligence, machine learning, and deep learning with distributed systems for better diagnosis and treatment of diseases.
Gives in-depth review of technological advancements like advanced sensing technologies such as plasmonic sensors, usage of RFIDs, and electronic diagnostic tools in the field of healthcare engineering. Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders. Highlights the future challenges and risks involved in the application of smart technologies such as cloud computing, fog computing, IOT, and distributed computing in healthcare.
Confers to utilize the AI and ML and associated aids in healthcare sectors in the post-Covid 19 period to revitalize the medical setup. Contributions included in the book will motivate technological developers and researchers to develop new algorithms and protocols in the healthcare field. It will serve as a vast platform for gaining knowledge regarding healthcare delivery, health- care management, healthcare in governance, and health monitoring approaches using distributed environments.
It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical fields.
Автор: Raval, Mehul S Название: Explainable AI in Healthcare ISBN: 1032367113 ISBN-13(EAN): 9781032367118 Издательство: Taylor&Francis Рейтинг: Цена: 100030.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Shaban-Nejad Arash, Michalowski Martin, Buckeridge David L. Название: Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability ISBN: 3030533514 ISBN-13(EAN): 9783030533519 Издательство: Springer Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine.
Автор: Shaban-Nejad Arash, Michalowski Martin, Buckeridge David L. Название: Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability ISBN: 3030533549 ISBN-13(EAN): 9783030533540 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine.
Автор: Akash Kumar Bhoi, Alfonso Gonza?lez Briones, P Naga Srinivasu, Victor Hugo C. de Albuquerque Название: Principles and Methods of Explainable Artificial Intelligence in Healthcare ISBN: 1668437910 ISBN-13(EAN): 9781668437919 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 452760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Discusses explainable artificial intelligence and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis. The book also encompasses computational vision processing techniques that handle complex.
Автор: Hugo Jair Escalante; Sergio Escalera; Isabelle Guy Название: Explainable and Interpretable Models in Computer Vision and Machine Learning ISBN: 3319981307 ISBN-13(EAN): 9783319981307 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning· Explanation Methods in Deep Learning· Learning Functional Causal Models with Generative Neural Networks· Learning Interpreatable Rules for Multi-Label Classification· Structuring Neural Networks for More Explainable Predictions· Generating Post Hoc Rationales of Deep Visual Classification Decisions· Ensembling Visual Explanations· Explainable Deep Driving by Visualizing Causal Attention· Interdisciplinary Perspective on Algorithmic Job Candidate Search· Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations
Автор: Tulli, Silvia ; AHA, David W Название: Explainable Agency in Artificial Intelligence: Research and Practice ISBN: 1032409134 ISBN-13(EAN): 9781032409139 Издательство: Taylor&Francis Рейтинг: Цена: 142910.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Zhou Jianlong, Chen Fang Название: Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent ISBN: 3030080072 ISBN-13(EAN): 9783030080075 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Автор: Sreedharan Название: Explainable Human-AI Interaction ISBN: 303103757X ISBN-13(EAN): 9783031037573 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: To do this effectively, AI agents need to go beyond planning with their own models of the world, and take into account the mental model of the human in the loop. At a minimum, AI agents need approximations of the human`s task and goal models, as well as the human`s model of the AI agent`s task and goal models.
Автор: Rutkowski Tom Название: Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance ISBN: 3030755207 ISBN-13(EAN): 9783030755201 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations.
Автор: Dombi Jуzsef, Csiszбr Orsolya Название: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools ISBN: 3030722821 ISBN-13(EAN): 9783030722821 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient.
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