Interpretable Artificial Intelligence: A Perspective of Granular Computing
(Sprache: Englisch)
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...
Jetzt vorbestellen
versandkostenfrei
Buch (Gebunden)
175.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Interpretable Artificial Intelligence: A Perspective of Granular Computing “
Klappentext zu „Interpretable Artificial Intelligence: A Perspective of Granular Computing “
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.
Inhaltsverzeichnis zu „Interpretable Artificial Intelligence: A Perspective of Granular Computing “
Visualizing the Behavior of Convolutional Neural Networks for Time Series Forecasting.- Beyond Deep Event Prediction: Deep Event Understanding based on Explainable Artificial Intelligence.- Interpretation of SVM to build an Explainable AI via Granular Computing.- Factual and Counterfactual Explanation of Fuzzy Information Granules.- Survey of Explainable Machine Learning with Visual and Granular Methods beyond Quasi-explanations.- MiBeX: Malware-inserted Benign Datasets for Explainable Machine Learning.- A Generative Model Based Approach for Zero-shot Breast Cancer Segmentation Explaining Pixels' Contribution to the Model's Prediction.Bibliographische Angaben
- 2021, 1st ed. 2021, VIII, 429 Seiten, 138 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Herausgegeben: Witold Pedrycz, Shyi-Ming Chen
- Verlag: Springer, Berlin
- ISBN-10: 3030649482
- ISBN-13: 9783030649487
Sprache:
Englisch
Kommentar zu "Interpretable Artificial Intelligence: A Perspective of Granular Computing"
Schreiben Sie einen Kommentar zu "Interpretable Artificial Intelligence: A Perspective of Granular Computing".
Kommentar verfassen