Machine Learning and Knowledge Extraction
Springer International Publishing (Verlag)
9783030297251 (ISBN)
The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.
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.
| Erscheinungsdatum | 24.08.2019 |
|---|---|
| Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
| Zusatzinfo | XIII, 416 p. 138 illus., 98 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 658 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Applications • Artificial Intelligence • Computer Science • computer vision • conference proceedings • Databases • Data Mining • data privacy • Data Security • Decision Support Systems • HCI • Human-Computer interaction • Informatics • Learning Algorithms • machine learning • Research • Semantics • User Interfaces |
| ISBN-13 | 9783030297251 / 9783030297251 |
| Zustand | Neuware |
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