Integrating Artificial Intelligence Visualization (25 results)
Language: English
Published by Springer 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Language: English
Published by Springer 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Language: English
Published by Springer 2022
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Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery
Kovalerchuk, Boris (EDT); Nazemi, Kawa (EDT); Andonie, Razvan (EDT); Datia, Nuno (EDT); Bannissi, Ebad (EDT)
Language: English
Published by Springer 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery
Kovalerchuk, Boris (EDT); Nazemi, Kawa (EDT); Andonie, Razvan (EDT); Datia, Nuno (EDT); Banissi, Ebad (EDT)
Language: English
Published by Springer 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Softcover
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Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery
Kovalerchuk, Boris (EDT); Nazemi, Kawa (EDT); Andonie, Razvan (EDT); Datia, Nuno (EDT); Banissi, Ebad (EDT)
Language: English
Published by Springer 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Softcover
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Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery
Kovalerchuk, Boris (EDT); Nazemi, Kawa (EDT); Andonie, Razvan (EDT); Datia, Nuno (EDT); Bannissi, Ebad (EDT)
Language: English
Published by Springer 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Hardcover
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More imagesLanguage: English
Published by Springer 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery | Boris Kovalerchuk (u. a.) | Taschenbuch | xv | Englisch | 2023 | Springer | EAN 9783030931216 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]…springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Language: English
Published by Springer 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer International Publishing 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 scholarspresented 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.
Language: English
Published by Springer International Publishing 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 scholarspresented 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.
Language: English
Published by Springer Nature 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Language: English
Published by Springer 2023
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- Softcover
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Language: English
Published by Springer, Berlin|Springer International Publishing|Springer 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 ar…tificial intelligence (AI) and machin.
Language: English
Published by Springer International Publishing 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the current state of the art on combining artificial intelligence and machine learning with visual analyticsPresents research work on computational intelligence, machine learning, vis…ual analytics, and knowledge discoveryCovers int.
Language: English
Published by Springer International Publishing Jun 2023 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 intell…igence (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 scholarspresented 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. 692 pp. Englisch.
Language: English
Published by Springer International Publishing Jun 2022 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 scholarspresented 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. 692 pp. Englisch.
Language: English
Published by Springer, Palgrave Macmillan Jun 2023 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 intelligen…ce (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 scholarspresented 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 692 pp. Englisch.
Language: English
Published by Springer, Palgrave Macmillan Jun 2022 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 scholarspresented 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 692 pp. Englisch.
Language: English
Published by Springer 2023
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
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Language: English
Published by Springer 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer 2022
Series: Studies in Computational Intelligence, Book 527 of 538. Book 527 of 538 - Studies in Computational Intelligence
- Hardcover
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