Intelligent Data Engineering and Automated Learning IDEAL 2019 20th International Conference Manchester UK November 14 16 2019 Proceedings Part II Hujun Yin

Special Session on Fuzzy Systems and Intelligent Data Analysis

Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences

Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering

Special Session on Machine Learning Towards Smarter Multimodal Systems

Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation

New Interfaces for Classifying Performance Gestures in Music

Special Session on Data Selection in Machine Learning

Classifying Ransomware Using Machine Learning Algorithms

Artificial Neural Networks in Mathematical Mini-Games for Automatic Students’ Learning Styles Identification: A First Approach

The Use of Unified Activity Records to Predict Requests Made by Applications for External Services

Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders

Multitemporal Aerial Image Registration Using Semantic Features

Special Session on Machine Learning in Healthcare

Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine

Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset

Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images

Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis

A Clustering-Based Patient Grouper for Burn Care

A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions

Special Session on Machine Learning in Automatic Control

A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI

Safe Deep Neural Network-Driven Autonomous Vehicles Using Software Safety Cages

Wave and Viscous Resistance Estimation by NN

Neural Controller of UAVs with Inertia Variations

Special Session on Finance and Data Mining

A Metric Framework for Quantifying Data Concentration

Adaptive Machine Learning-Based Stock Prediction Using Financial Time Series Technical Indicators

Special Session on Knowledge Discovery from Data

Exploiting Online Newspaper Articles Metadata for Profiling City Areas

Modelling the Social Interactions in Ant Colony Optimization

An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments

Control-Flow Business Process Summarization via Activity Contraction

Classifying Flies Based on Reconstructed Audio Signals

Studying the Evolution of the ‘Circular Economy’ Concept Using Topic Modelling

Mining Frequent Distributions in Time Series

Time Series Display for Knowledge Discovery on Selective Laser Melting Machines

Special Session on Machine Learning Algorithms for Hard Problems

Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy

SMOTE Algorithm Variations in Balancing Data Streams

Multi-class Text Complexity Evaluation via Deep Neural Networks

Imbalance Reduction Techniques Applied to ECG Classification Problem

Machine Learning Methods for Fake News Classification

A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification

The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain