Explainable Artificial Intelligence [electronic resource] : First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part II / edited by Luca Longo.

Colaborador(es): Longo, Luca [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Communications in Computer and Information Science ; 1902Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XVIII, 664 p. 193 illus., 176 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031440670Tema(s): Artificial intelligence | Application software | Computer networks  | Natural language processing (Computer science) | Artificial Intelligence | Computer and Information Systems Applications | Computer Communication Networks | Natural Language Processing (NLP)Formatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónicoTexto
Contenidos:
Surveys, benchmarks, visual representations and applications for xAI -- xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks -- Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems.
En: Springer Nature eBookResumen: Chapters "Finding Spurious Correlations with Function-Semantic Contrast Analysis" and "Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos 1 No para préstamo

Acceso multiusuario

Surveys, benchmarks, visual representations and applications for xAI -- xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks -- Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems.

Chapters "Finding Spurious Correlations with Function-Semantic Contrast Analysis" and "Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

UABC ; Perpetuidad

Con tecnología Koha