Intelligent Data Engineering and Automated Learning 1st Edition by Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio Tallón-Ballesteros, Ke Tang Sung-Bae Cho, Paulo Novais, Susana Nascimento ISBN 3030916073 978-3030916077

Intelligent Data Engineering and Automated Learning 1st Edition by Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio  Tallón-Ballesteros, Ke Tang  Sung-Bae Cho, Paulo Novais, Susana Nascimento – Ebook PDF Instant Download/Delivery. 
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Product details:

ISBN 10: 3030916073
ISBN 13: 978-3030916077
Author:  Hujun Yin , David Camacho , Peter Tino, Richard Allmendinger , Antonio J. Tallón-Ballesteros, Ke Tang , Sung-Bae Cho , Paulo Novais , Susana Nascimento

This book constitutes the refereed proceedings of the 22^nd 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.

Intelligent Data Engineering and Automated Learning 1st Table of contents:

Compound Local Binary Pattern and Enhanced Jaya Optimized Extreme Learning Machine for Digital Mammogram Classification
Figlu Mohanty, Suvendu Rup, Bodhisattva Dash

Support Vector Machine Based Method for High Impedance Fault Diagnosis in Power Distribution Networks
K. Moloi, J. A. Jordaan, Y. Hamam

Extended Min-Hash Focusing on Intersection Cardinality
Hisashi Koga, Satoshi Suzuki, Taiki Itabashi, Gibran Fuentes Pineda, Takahisa Toda

Deep-Learning-Based Classification of Rat OCT Images After Intravitreal Injection of ET-1 for Glaucoma Understanding
Félix Fuentes-Hurtado, Sandra Morales, Jose M. Mossi, Valery Naranjo, Vadim Fedulov, David Woldbye et al.

Finding the Importance of Facial Features in Social Trait Perception
Félix Fuentes-Hurtado, Jose Antonio Diego-Mas, Valery Naranjo, Mariano Alcañiz

Effective Centralized Trust Management Model for Internet of Things
Hela Maddar, Wafa Kammoun, Habib Youssef

Knowledge-Based Solution Construction for Evolutionary Minimization of Systemic Risk
Krzysztof Michalak

Handwritten Character Recognition Using Active Semi-supervised Learning
Papangkorn Inkeaw, Jakramate Bootkrajang, Teresa Gonçalves, Jeerayut Chaijaruwanich

Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes
Iztok Fister Jr., Andres Iglesias, Akemi Galvez, Javier Del Ser, Eneko Osaba, Iztok Fister

Predicting Wind Energy Generation with Recurrent Neural Networks
Jaume Manero, Javier Béjar, Ulises Cortés

Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation
Marius Andrei Ciurez, Marian Cristian Mihaescu

Exploring Online Novelty Detection Using First Story Detection Models
Fei Wang, Robert J. Ross, John D. Kelleher

A Fast Metropolis-Hastings Method for Generating Random Correlation Matrices
Irene Córdoba, Gherardo Varando, Concha Bielza, Pedro Larrañaga

Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Juan A. Gómez-Pulido, Enrique Cortés-Toro, Arturo Durán-Domínguez, Broderick Crawford, Ricardo Soto

General Structure Preserving Network Embedding
Sinan Zhu, Caiyan Jia

Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
Manjurul Islam, Alexander Prosvirin, Jong-Myon Kim

Anomaly Detection in Spatial Layer Models of Autonomous Agents
Marie Kiermeier, Sebastian Feld, Thomy Phan, Claudia Linnhoff-Popien

Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage
Cristiana Silva, Adrián Colomer, Valery Naranjo

Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images

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