Interpretable Artificial Intelligence A Perspective Of Granular Computing

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Interpretable Artificial Intelligence: A Perspective of Granular Computing

Author : Witold Pedrycz
Publisher : Springer Nature
ISBN 13 : 3030649490
Total Pages : 430 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Interpretable Artificial Intelligence: A Perspective of Granular Computing by : Witold Pedrycz

Download or read book Interpretable Artificial Intelligence: A Perspective of Granular Computing written by Witold Pedrycz and published by Springer Nature. This book was released on 2021-03-26 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.

Granular Computing and Intelligent Systems

Author : Witold Pedrycz
Publisher : Springer Science & Business Media
ISBN 13 : 3642198201
Total Pages : 308 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Granular Computing and Intelligent Systems by : Witold Pedrycz

Download or read book Granular Computing and Intelligent Systems written by Witold Pedrycz and published by Springer Science & Business Media. This book was released on 2011-04-28 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information granules are fundamental conceptual entities facilitating perception of complex phenomena and contributing to the enhancement of human centricity in intelligent systems. The formal frameworks of information granules and information granulation comprise fuzzy sets, interval analysis, probability, rough sets, and shadowed sets, to name only a few representatives. Among current developments of Granular Computing, interesting options concern information granules of higher order and of higher type. The higher order information granularity is concerned with an effective formation of information granules over the space being originally constructed by information granules of lower order. This construct is directly associated with the concept of hierarchy of systems composed of successive processing layers characterized by the increasing levels of abstraction. This idea of layered, hierarchical realization of models of complex systems has gained a significant level of visibility in fuzzy modeling with the well-established concept of hierarchical fuzzy models where one strives to achieve a sound tradeoff between accuracy and a level of detail captured by the model and its level of interpretability. Higher type information granules emerge when the information granules themselves cannot be fully characterized in a purely numerical fashion but instead it becomes convenient to exploit their realization in the form of other types of information granules such as type-2 fuzzy sets, interval-valued fuzzy sets, or probabilistic fuzzy sets. Higher order and higher type of information granules constitute the focus of the studies on Granular Computing presented in this study. The book elaborates on sound methodologies of Granular Computing, algorithmic pursuits and an array of diverse applications and case studies in environmental studies, option price forecasting, and power engineering.

Explainable, Interpretable, and Transparent AI Systems

Author : B. K. Tripathy
Publisher : CRC Press
ISBN 13 : 1040099939
Total Pages : 355 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Explainable, Interpretable, and Transparent AI Systems by : B. K. Tripathy

Download or read book Explainable, Interpretable, and Transparent AI Systems written by B. K. Tripathy and published by CRC Press. This book was released on 2024-08-23 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains. Features: Presents a clear focus on the application of explainable AI systems while tackling important issues of “interpretability” and “transparency”. Reviews adept handling with respect to existing software and evaluation issues of interpretability. Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression. Focuses on interpreting black box models like feature importance and accumulated local effects. Discusses capabilities of explainability and interpretability. This book is aimed at graduate students and professionals in computer engineering and networking communications.

Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery

Author : Boris Kovalerchuk
Publisher : Springer Nature
ISBN 13 : 3031465490
Total Pages : 512 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery by : Boris Kovalerchuk

Download or read book Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery written by Boris Kovalerchuk and published by Springer Nature. This book was released on 2024 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges. This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens.

Applied Decision-Making

Author : Mauricio A. Sanchez
Publisher : Springer
ISBN 13 : 3030179850
Total Pages : 215 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Applied Decision-Making by : Mauricio A. Sanchez

Download or read book Applied Decision-Making written by Mauricio A. Sanchez and published by Springer. This book was released on 2019-05-18 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a collection of the latest research, applications, and proposals, introducing readers to innovations and concepts from diverse environments and systems. As such, it will provide students and professionals alike with not only cutting-edge information, but also new inspirations and potential research directions. Each chapter focuses on a specific aspect of applied decision making, e.g. in complex systems, computational intelligence, security, and ubiquitous computing.

Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery

Author : Boris Kovalerchuk
Publisher : Springer Nature
ISBN 13 : 3030931196
Total Pages : 671 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery by : Boris Kovalerchuk

Download or read book Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery written by Boris Kovalerchuk and published by Springer Nature. This book was released on 2022-06-04 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering "n-D glasses," where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain. This book is a collection of 25 extended works of over 70 scholars presented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations. The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.

Ethics of Artificial Intelligence

Author : Francisco Lara
Publisher : Springer Nature
ISBN 13 : 3031481356
Total Pages : 254 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Ethics of Artificial Intelligence by : Francisco Lara

Download or read book Ethics of Artificial Intelligence written by Francisco Lara and published by Springer Nature. This book was released on 2024-01-01 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the reader with a comprehensive and structured understanding of the ethics of Artificial Intelligence (AI). It describes the main ethical questions that arise from the use of AI in different areas, as well as the contribution of various academic disciplines such as legal policy, environmental sciences, and philosophy of technology to the study of AI. AI has become ubiquitous and is significantly changing our lives, in many cases, for the better, but it comes with ethical challenges. These challenges include issues with the possibility and consequences of autonomous AI systems, privacy and data protection, the development of a surveillance society, problems with the design of these technologies and inequalities in access to AI technologies. This book offers specialists an instrument to develop a rigorous understanding of the main debates in emerging ethical questions around AI. The book will be of great relevance to experts in applied and technology ethics and to students pursuing degrees in applied ethics and, more specifically, in AI ethics.

Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems

Author : Witold Pedrycz
Publisher : Springer Nature
ISBN 13 : 3031320956
Total Pages : 239 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems by : Witold Pedrycz

Download or read book Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems written by Witold Pedrycz and published by Springer Nature. This book was released on 2023-07-15 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.

Machine Learning and Knowledge Discovery in Databases. Research Track

Author : Albert Bifet
Publisher : Springer Nature
ISBN 13 : 3031703650
Total Pages : 509 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases. Research Track by : Albert Bifet

Download or read book Machine Learning and Knowledge Discovery in Databases. Research Track written by Albert Bifet and published by Springer Nature. This book was released on with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Analysis and Optimization

Author : Boris Goldengorin
Publisher : Springer Nature
ISBN 13 : 3031316541
Total Pages : 447 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Data Analysis and Optimization by : Boris Goldengorin

Download or read book Data Analysis and Optimization written by Boris Goldengorin and published by Springer Nature. This book was released on 2023-09-23 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics. The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.

Explainable Machine Learning in Medicine

Author : Karol Przystalski
Publisher : Springer Nature
ISBN 13 : 3031448774
Total Pages : 92 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Explainable Machine Learning in Medicine by : Karol Przystalski

Download or read book Explainable Machine Learning in Medicine written by Karol Przystalski and published by Springer Nature. This book was released on 2023-12-28 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medicine, providing an overview of explainable artificial intelligence (AI) techniques that can be applied in different medical challenges. The authors discuss how to select and apply the proper technology depending on the provided data and the analysis desired. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type. A number of scenarios are introduced that can happen in real-time environments, with each pared with a type of machine learning that can be used to solve it.

Intelligent Information Systems

Author : Jochen De Weerdt
Publisher : Springer Nature
ISBN 13 : 3031074815
Total Pages : 148 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Intelligent Information Systems by : Jochen De Weerdt

Download or read book Intelligent Information Systems written by Jochen De Weerdt and published by Springer Nature. This book was released on 2022-05-27 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2022 which was held in Leuven, Belgium, in June 2022, as part of the 34th International Conference on Advanced Information Systems Engineering, CAiSE 2022. The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. The 15 full papers presented in this volume were carefully reviewed and selected from 24 submissions.

Integrated Uncertainty in Knowledge Modelling and Decision Making

Author : Katsuhiro Honda
Publisher : Springer Nature
ISBN 13 : 3031467817
Total Pages : 388 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Integrated Uncertainty in Knowledge Modelling and Decision Making by : Katsuhiro Honda

Download or read book Integrated Uncertainty in Knowledge Modelling and Decision Making written by Katsuhiro Honda and published by Springer Nature. This book was released on 2023-10-26 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021

Download 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021 PDF Online Free

Author : Rafik A. Aliev
Publisher : Springer Nature
ISBN 13 : 3030921271
Total Pages : 803 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021 by : Rafik A. Aliev

Download or read book 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021 written by Rafik A. Aliev and published by Springer Nature. This book was released on 2022-01-04 with total page 803 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 11th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW-2021, held in Antalya, Turkey, on August 23–24, 2021. The general scope of the book covers uncertain computation, decision making under imperfect information, neuro-fuzzy approaches, natural language processing, and other areas. The topics of the papers include theory and application of soft computing, computing with words, image processing with soft computing, intelligent control, machine learning, fuzzy logic in data mining, soft computing in business, economics, engineering, material sciences, biomedical engineering, and health care. This book is a useful guide for academics, practitioners, and graduates in fields of soft computing and computing with words. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

New Frontiers in Textual Data Analysis

Author : Giuseppe Giordano
Publisher : Springer Nature
ISBN 13 : 3031559177
Total Pages : 385 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis New Frontiers in Textual Data Analysis by : Giuseppe Giordano

Download or read book New Frontiers in Textual Data Analysis written by Giuseppe Giordano and published by Springer Nature. This book was released on with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Designed for Death

Author : Steven Umbrello
Publisher : Trivent Publishing
ISBN 13 : 6156405380
Total Pages : 236 pages
Book Rating : 4.1/5 (564 download)

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Book Synopsis Designed for Death by : Steven Umbrello

Download or read book Designed for Death written by Steven Umbrello and published by Trivent Publishing. This book was released on 2022-09-19 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous weapons systems, often referred to as 'killer robots', have been a hallmark of popular imagination for decades. However, with the inexorable advance of artificial intelligence systems (AI) and robotics, killer robots are quickly becoming a reality. These lethal technologies can learn, adapt, and potentially make life and death decisions on the battlefield with little-to-no human involvement. This naturally leads to not only legal but ethical concerns as to whether we can meaningful control such machines, and if so, then how. Such concerns are made even more poignant by the ever-present fear that something may go wrong, and the machine may carry out some action(s) violating the ethics or laws of war. Researchers, policymakers, and designers are caught in the quagmire of how to approach these highly controversial systems and to figure out what exactly it means to have meaningful human control over them, if at all. In Designed for Death, Dr Steven Umbrello aims to not only produce a realistic but also an optimistic guide for how, with human values in mind, we can begin to design killer robots. Drawing on the value sensitive design (VSD) approach to technology innovation, Umbrello argues that context is king and that a middle path for designing killer robots is possible if we consider both ethics and design as fundamentally linked. Umbrello moves beyond the binary debates of whether or not to prohibit killer robots and instead offers a more nuanced perspective of which types of killer robots may be both legally and ethically acceptable, when they would be acceptable, and how to design for them.

Granular Computing and Big Data Advancements

Author : Zhang, Chao
Publisher : IGI Global
ISBN 13 :
Total Pages : 331 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Granular Computing and Big Data Advancements by : Zhang, Chao

Download or read book Granular Computing and Big Data Advancements written by Zhang, Chao and published by IGI Global. This book was released on 2024-08-06 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices, amplifying the risks inherent in uncertain environments. Granular Computing and Big Data Advancements provides insights and solutions in this challenging landscape. The impact of Granular Computing and Big Data Advancements reverberates across the research community, offering a cohesive resource that bridges the gap between theory and practice. With its interdisciplinary approach and emphasis on innovation, the book fosters collaboration and empowers scholars to tackle complex challenges head-on. Whether researchers seek novel methodologies, practitioners aim to enhance decision-making processes, or students embark on their academic journey, this publication serves as a cornerstone in the quest for effective decision-making amidst the uncertainties of the modern world.