Intelligent Data Engineering and Automated Learning – IDEAL 2021 : 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings / edited by Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento.

Format:

Book

Contributor:

Yin, Hujun, editor.

Series:

Information Systems and Applications, incl. Internet/Web, and HCI, 2946-1642 ; 13113

Language:

English

Subjects (All):

Data mining.

Machine learning.

Software engineering.

Education--Data processing.

Education.

Computer vision.

Data Mining and Knowledge Discovery.

Machine Learning.

Software Engineering.

Computers and Education.

Computer Vision.

Local Subjects:

Data Mining and Knowledge Discovery.

Machine Learning.

Software Engineering.

Computers and Education.

Computer Vision.

Physical Description:

1 online resource (663 pages)

Edition:

1st ed. 2021.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

Summary:

This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

Contents:

Main Track

A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality

A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems

Inheritances of Orthogonality in the Bio-inspired Layered Networks

A Neural Architecture for Detecting Identifier Renaming from Diff

Spell Checker Application Based on Levenshtein Automaton

Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data

AutoML technologies for the identification of sparse models

A Hierarchical Multi-Label Classification of Multi-Resident Activities

Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem

Plagiarism Detection by Usage of Encoplot and Transformers

Drift Detection in Text Data with Document Embeddings

Validation of Video Retrieval by Kappa Measure for Inter-Judge Agreement

Multi Language Application of Previously Developed Transcripts Classifier

A complexity measure for binary classification problems based on lost points

Linear Concept Approximation for Multilingual Document Recommendation

Unsupervised Detection of Solving Strategies for Competitive Programming

Application of long short-term memory neural networks for electric arc furnace modelling

An Empirical Study of the Impact of Field Features in Learning-to-rank Method

An Optimized Evidential Artificial Immune Recognition System based on Genetic Algorithm

New Arabic Medical Dataset for Diseases Classification

Improving Maximum Likelihood Estimation using Marginalization and Black-Box Variational Inference

A Deep Learning-Based Approach for Train Arrival Time Prediction

A Hybrid Approach for Predicting Bitcoin Price using Bi-LSTM and Bi-RNN Based Neural Network

DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring

Time-series in Hyper-parameter Initialization of Machine Learning Techniques

Prediction of Maintenance Equipment Failures Using AutomatedMachine Learning

Learning Inter-Lingual Document Representations via Concept Compression

Mixture-based probabilistic graphical models for the partial label ranking problem

From classification to visualization: a two way trip

Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora

Countering misinformation through semantic-aware multilingual models

Genetic and Ant Colony algorithms to solve the multi-TSP

Explainable AI (XAI) in Healthcare – Opportunities, Gaps and Challenges and a New Way to Look the Problem Space

End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images

SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method

Evaluating Football Player Actions during Counterattacks

An Intelligent Decision Support System for Production Planning in Garments Industry

Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images

"A Profile on Twitter Shadowban: an AI Ethics

position paper on Free-Speech"

Meta-Feature Extraction Strategies for Active Anomaly Detection

An implementation of the "Guess who?" game using CLIP

Directional Graph Transformer-based Control Flow Embedding for Malware Classification

Violence Detection with Audio inside the Car

Evaluating Uni-dimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants

LSTM neural network modeling of wind speed and correlation analysis of wind and waves

Finding Local Explanations through Masking Models

Wind Turbine Modelling based on Neural Networks: a First Approach

Multi-Attribute Forecast of the Price in the Iberian Electricity Market

Tracking the temporal-evolution of supernova bubbles in numerical simulations

SOMiMS - Topographic Mapping in the Model Space

Fair Regret Minimization Queries

Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis

Special Session on Clustering for Interpretable Machine Learning

Detecting Communities in Feature-Rich Networks with a K-Means Method

Meta-learning based feature selection for clustering

ACHC: Associative Classifier based on Hierarchical Clustering

Special Session on Machine Learning towards Smarter Multimodal Systems

Multimodal Semi-supervised Bipolar Disorder Classification

Developments on support vector machines for multiple-expert learning

WalkingStreet: understanding human mobility phenomena through a mobile application

Indoor Positioning System for Ubiquitous Computing Environments

Special Session on Computational Intelligence for Computer Vision and Image Processing

T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning

Radar echo image prediction algorithm based on multi-scale encoding-decoding network. .

Other Format:

Print version: Yin, Hujun Intelligent Data Engineering and Automated Learning - IDEAL 2021

ISBN:

3-030-91608-1

OCLC:

1286664575