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Home > Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II > A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification
Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II |
Hujun Yin; David Camacho; Peter Tino; Antonio J. Tallón-Ballesteros; Ronaldo Menezes; Richard Allmendinger
Springer International Publishing
Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification
Authors

Jakub Klikowski; Paweł Ksieniewicz; Michał Woźniak

ARI Id

1665223355791_5437764

Access

Not Available Free

Pages

340-352

DOI

10.1007/978-3-030-33617-2_35

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-33617-2_35

Table of Contents of Book
Showing 1 to 20 of 46 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxi
Front Matter
1-1
Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences
Dmitry Frolov; Susana Nascimento; Trevor Fenner; Zina Taran; Boris Mirkin
3-11
Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering
Susana Nascimento; Nuno Madaleno
12-20
Front Matter
21-21
Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation
Rui Rodrigues; Rui Neves Madeira; Nuno Correia; Carla Fernandes; Sara Ribeiro
23-30
New Interfaces for Classifying Performance Gestures in Music
Chris Rhodes; Richard Allmendinger; Ricardo Climent
31-42
Front Matter
43-43
Classifying Ransomware Using Machine Learning Algorithms
Samuel Egunjobi; Simon Parkinson; Andrew Crampton
45-52
Artificial Neural Networks in Mathematical Mini-Games for Automatic Students’ Learning Styles Identification: A First Approach
Richard Torres-Molina; Jorge Banda-Almeida; Lorena Guachi-Guachi
53-60
The Use of Unified Activity Records to Predict Requests Made by Applications for External Services
Maciej Grzenda; Robert Kunicki; Jaroslaw Legierski
61-69
Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders
Svetlana Simić; Ljiljana Radmilo; Dragan Simić; Svetislav D. Simić; Antonio J. Tallón-Ballesteros
70-77
Multitemporal Aerial Image Registration Using Semantic Features
Ananya Gupta; Yao Peng; Simon Watson; Hujun Yin
78-86
Front Matter
87-87
Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine
Richard Torres-Molina; Carlos Bustamante-Orellana; Andrés Riofrío-Valdivieso; Francisco Quinga-Socasi; Robinson Guachi; Lorena Guachi-Guachi
89-96
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset
David Guijo-Rubio; Pedro J. Villalón-Vaquero; Pedro A. Gutiérrez; Maria Dolores Ayllón; Javier Briceño; César Hervás-Martínez
97-104
Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images
Pedro Pons; Reinier Noorda; Andrea Nevárez; Adrián Colomer; Vicente Pons Beltrán; Valery Naranjo
105-113
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis
Philippa Grace McCabe; Ivan Olier; Sandra Ortega-Martorell; Ian Jarman; Vasilios Baltzopoulos; Paulo Lisboa
114-122
A Clustering-Based Patient Grouper for Burn Care
Chimdimma Noelyn Onah; Richard Allmendinger; Julia Handl; Paraskevas Yiapanis; Ken W. Dunn
123-131
A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions
Sabrina Marnell; Patrick Riley; Ivan Olier; Marc Rea; Sandra Ortega-Martorell
132-138
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 46 entries
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