Intelligent Data Engineering and Automated Learning - IDEAL 2020 : 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part II / edited by Cesar Analide, Paulo Novais, David Camacho, Hujun Yin.

Format:

Book

Contributor:

Analide, Cesar, Editor.

Novais, Paulo, Editor.

Camacho, David, Editor.

Yin, Hujun., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 12490

Information Systems and Applications, incl. Internet/Web, and HCI ; 12490

Language:

English

Subjects (All):

Data mining.

Artificial intelligence.

Application software.

Computer engineering.

Computer networks.

Computers.

Image processing-Digital techniques.

Computer vision.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Engineering and Networks.

Computing Milieux.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Local Subjects:

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Engineering and Networks.

Computing Milieux.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Physical Description:

1 online resource (XXV, 624 pages) : 193 illustrations, 161 illustrations in color.

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.

Contents:

Special Session on Data Generation and Data Pre-processing in Machine Learning

A Preprocessing Approach for Class-imbalanced Data using SMOTE and Belief Function Theory

Multi-Agent Based Manifold Denoising

A Novel Evaluation Metric for Synthetic Data Generation

Data Pre-processing and Data Generation in the Student Flow Case Study

Enhanced Credit Prediction using Artificial Data

Data Generation Using Gene Expression Generator

Stabilisation of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection

Special Session on Optimization and Machine Learning for Industry 4.0

Distributed Coordination of Heterogeneous Robotic Swarms using Stochastic Diffusion Search

An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments

Unified Performance Measure for Binary Classification Problems

Data Augmentation for Industrial Prognosis using Generative Adversarial Networks

A Comparison of Evolutionary Multi-Objective Optimization Algorithms Applied to Antenna Design

Special Session on Practical Applications of Deep Learning

Cloud Type Identification Using Data Fusion and Ensemble Learning

Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports

Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images

Video Semantics Quality Assessment using Deep Learning

A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines

Predicting Recurring Telecommunications Customer Support Problems using Deep Learning

Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study

On Analysing Similarity Knowledge Transfer by Ensembles

Special Session on New trends and challenges on Social Networks Analysis

Social Network Recommender System, a Neural Network Approach

Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems

Special Session on Machine Learning in Automatic Control

Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation

Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa María, California

Wind Turbine Pitch Control First Approach based on Reinforcement Learning

Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines

Special Session on Emerging Trends in Machine Learning

Autoencoder Latent Space Influence on IoT MQTT Attack Classification

A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus

A Comparative Analysis between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms

Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-like Ethics

Anticipating Maintenance in Telecom Installation Processes

Meta-Hyperband: Hyperparameter Optimization with Meta-Learning and Coarse-to-Fine

Stateful Optimization in Federated Learning of Neural Networks

Talking in Italian about AI with a Chatbot: a Prototype of a Question-Answering Agent

Review of Trends in Automatic Human Activity Recognition in Vehicle based in Synthetic Data

Special Session on Machine Learning, Law and Legal Industry

Intellectual Properties of Artificial Creativity: Dismantling Originality in European's Legal Framework

Network Analysis for Fraud Detection in Portuguese Public Procurement

Biased Language Detection in Court Decisions

Special Session on Machine Learning Algorithms for Hard Problems

A One-by-One Method for Community Detection in Attributed Networks

A Hybrid Approach to the Analysis of a Collection of Research Papers

Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images

Special Session on Automated learning for industrial applications

Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing

Quaternion Neural Networks: State-of-the-art and Research Challenges

A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes

A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier

A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects

Improving Performance of Recommendation System Architecture

Automated Learning of In-vehicle Noise Representation with Triplet-loss Embedded Convolutional Beamforming Network

Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces

Deep Learning Based Algorithms for Welding Edge Points Detection

Detecting Performance Anomalies in the Multi-Component Software a Collaborative Robot

Prediction of Small-Wind Turbine Performance from Time Series Modelling using Intelligent Techniques

Review of Trends in Automatic Human Activity Recognition using Synthetic Audio-Visual Data

Atmospheric Tomography using Convolutional Neural Networks

Workshop on Machine Learning in Smart Mobility

Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection

Road Patterns Identification and Risk Analysis based on Machine Learning framework: Powered Two-Wheelers Case

Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video

A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem

Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist.

Other Format:

Printed edition:

ISBN:

978-3-030-62365-4

9783030623654

Access Restriction:

Restricted for use by site license.