| TÃtulo : |
Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26–29, 2019, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Holzinger, Andreas, ; Kieseberg, Peter, ; Tjoa, A Min, ; Weippl, Edgar, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XIII, 416 p. 138 ilustraciones, 98 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-29726-8 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Inteligencia artificial Gestión de base de datos Procesamiento de datos Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Unidades aritméticas y lógicas informáticas Protección de datos MinerÃa de datos y descubrimiento de conocimientos Interfaces de usuario e interacción persona-computadora Estructuras aritméticas y lógicas Seguridad de datos e información |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 Conferencia internacional entre dominios para el aprendizaje automático y la extracción de conocimientos, CD-MAKE 2019, celebrada en Canterbury, Reino Unido, en agosto de 2019. El 25 Los artÃculos completos revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 45 presentaciones. La integración entre dominios y la evaluación de diferentes campos proporciona una atmósfera para fomentar diferentes perspectivas y opiniones; Ofrecerá una plataforma para ideas novedosas y una nueva mirada a las metodologÃas para poner estas ideas en práctica en beneficio de la humanidad. |
| Nota de contenido: |
KANDINSKY Patterns as IQ-Test for machine learning -- Machine Learning Explainability Through Comprehensible Decision Trees -- New Frontiers in Explainable AI: Understanding the GI to Interpret the GO -- Automated Machine Learning for Studying the Trade-off Between Predictive Accuracy and Interpretability -- Estimating the Driver Status Using Long Short Term Memory -- Using Relational Concept Networks for Explainable Decision Support -- Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking -- Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation -- Semi-automated Quality Assurance for Domain-expert-driven Data Exploration - An Application to Principal Component Analysis -- Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification -- How to improve the adaptation phase of the CBR in the medical domain -- Machine Learning for Family Doctors: A Case of Cluster Analysis for studying Aging Associated Comorbidities and Frailty -- Knowledge Extraction for Cryptographic Algorithm Validation Test Vectors by Means of Combinatorial Coverage Measurement -- An Evaluation on Robustness and Utility of Fingerprinting Schemes -- Differentially Private Obfuscation of Facial Images -- Insights into Learning Competence through Probabilistic Graphical Models -- Sparse Nerves in Practice -- Backdoor Attacks in Neural Networks - a Systematic Evaluation on Multiple Traffic Sign Datasets -- Deep Learning for Proteomics Data for Feature Selection and Classification -- Package and Classify Wireless Product Features to Their Sales Items and Categories Automatically -- Temporal diagnosis of discrete-event systems with dual knowledge Compilation -- A Case for Guided Machine Learning -- Using Ontologies to Express Prior Knowledge for Genetic Programming -- Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language -- Commonsense Reasoning using Theorem Proving and Machine Learning -- Deep structured semantic model for recommendations with heterogeneous side information in e-commerce. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26–29, 2019, Proceedings [documento electrónico] / Holzinger, Andreas, ; Kieseberg, Peter, ; Tjoa, A Min, ; Weippl, Edgar, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIII, 416 p. 138 ilustraciones, 98 ilustraciones en color. ISBN : 978-3-030-29726-8 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Inteligencia artificial Gestión de base de datos Procesamiento de datos Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Unidades aritméticas y lógicas informáticas Protección de datos MinerÃa de datos y descubrimiento de conocimientos Interfaces de usuario e interacción persona-computadora Estructuras aritméticas y lógicas Seguridad de datos e información |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 Conferencia internacional entre dominios para el aprendizaje automático y la extracción de conocimientos, CD-MAKE 2019, celebrada en Canterbury, Reino Unido, en agosto de 2019. El 25 Los artÃculos completos revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 45 presentaciones. La integración entre dominios y la evaluación de diferentes campos proporciona una atmósfera para fomentar diferentes perspectivas y opiniones; Ofrecerá una plataforma para ideas novedosas y una nueva mirada a las metodologÃas para poner estas ideas en práctica en beneficio de la humanidad. |
| Nota de contenido: |
KANDINSKY Patterns as IQ-Test for machine learning -- Machine Learning Explainability Through Comprehensible Decision Trees -- New Frontiers in Explainable AI: Understanding the GI to Interpret the GO -- Automated Machine Learning for Studying the Trade-off Between Predictive Accuracy and Interpretability -- Estimating the Driver Status Using Long Short Term Memory -- Using Relational Concept Networks for Explainable Decision Support -- Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking -- Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation -- Semi-automated Quality Assurance for Domain-expert-driven Data Exploration - An Application to Principal Component Analysis -- Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification -- How to improve the adaptation phase of the CBR in the medical domain -- Machine Learning for Family Doctors: A Case of Cluster Analysis for studying Aging Associated Comorbidities and Frailty -- Knowledge Extraction for Cryptographic Algorithm Validation Test Vectors by Means of Combinatorial Coverage Measurement -- An Evaluation on Robustness and Utility of Fingerprinting Schemes -- Differentially Private Obfuscation of Facial Images -- Insights into Learning Competence through Probabilistic Graphical Models -- Sparse Nerves in Practice -- Backdoor Attacks in Neural Networks - a Systematic Evaluation on Multiple Traffic Sign Datasets -- Deep Learning for Proteomics Data for Feature Selection and Classification -- Package and Classify Wireless Product Features to Their Sales Items and Categories Automatically -- Temporal diagnosis of discrete-event systems with dual knowledge Compilation -- A Case for Guided Machine Learning -- Using Ontologies to Express Prior Knowledge for Genetic Programming -- Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language -- Commonsense Reasoning using Theorem Proving and Machine Learning -- Deep structured semantic model for recommendations with heterogeneous side information in e-commerce. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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