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008			210326s2021 sz | s |||| 0|eng d
020			_a9783030649494
024	7		_a10.1007/978-3-030-64949-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2021 EB
245	1	0	_aInterpretable Artificial Intelligence: A Perspective of Granular Computing _cedited by Witold Pedrycz, Shyi-Ming Chen.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (VIII, 429 páginas) _b170 ilustraciones, 138 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v937
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aVisualizing 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.
520	3		_aThis 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.
988			_aSpringer_Robotics_2021
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aPedrycz, Witold _d1953- _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _967495
700	1		_aChen, Shyi-Ming _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _998849
776	0	8	_iPrinted edition: _z9783030649487
776	0	8	_iPrinted edition: _z9783030649500
776	0	8	_iPrinted edition: _z9783030649517
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-64949-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE