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ORCID20th IDEAL 2019: Manchester, UK - Part II
- Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11872, Springer 2019, ISBN 978-3-030-33616-5
Special Session on Fuzzy Systems and Intelligent Data Analysis
- Dmitry Frolov, Susana Nascimento
, Trevor I. Fenner, Zina Taran, Boris G. Mirkin:
Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences. 3-11 - Susana Nascimento, Nuno Madaleno:
Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering. 12-20
Special Session on Machine Learning Towards Smarter Multimodal Systems
- Rui Rodrigues, Rui Neves Madeira, Nuno Correia, Carla Fernandes, Sara Ribeiro:
Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation. 23-30 - Chris Rhodes, Richard Allmendinger, Ricardo Climent:
New Interfaces for Classifying Performance Gestures in Music. 31-42
Special Session on Data Selection in Machine Learning
- Samuel Egunjobi, Simon Parkinson, Andrew Crampton:
Classifying Ransomware Using Machine Learning Algorithms. 45-52 - Richard Torres-Molina, Jorge Banda-Almeida, Lorena Guachi-Guachi:
Artificial Neural Networks in Mathematical Mini-Games for Automatic Students' Learning Styles Identification: A First Approach. 53-60 - Maciej Grzenda, Robert Kunicki, Jaroslaw Legierski:
The Use of Unified Activity Records to Predict Requests Made by Applications for External Services. 61-69 - Svetlana Simic, Ljiljana Radmilo, Dragan Simic, Svetislav D. Simic, Antonio J. Tallón-Ballesteros:
Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders. 70-77 - Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin:
Multitemporal Aerial Image Registration Using Semantic Features. 78-86
Special Session on Machine Learning in Healthcare
- Richard Torres-Molina, Carlos Bustamante-Orellana, Andrés Riofrío-Valdivieso, Francisco Quinga-Socasi, Robinson Guachi, Lorena Guachi-Guachi:
Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine. 89-96 - David Guijo-Rubio, Pedro J. Villalón-Vaquero, Pedro Antonio Gutiérrez, María Dolores Ayllón-Terán, Javier Briceño, César Hervás-Martínez:
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset. 97-104 - Pedro Pons, Reinier Noorda, Andrea Nevárez, Adrián Colomer, Vicente Pons Beltrán, Valery Naranjo:
Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images. 105-113 - Philippa Grace McCabe, Iván Olier, Sandra Ortega-Martorell, Ian H. Jarman, Vasilios Baltzopoulos, Paulo Lisboa:
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis. 114-122 - Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn:
A Clustering-Based Patient Grouper for Burn Care. 123-131 - Sabrina Marnell, Patrick Riley, Iván Olier, Marc Rea, Sandra Ortega-Martorell:
A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions. 132-138
Special Session on Machine Learning in Automatic Control
- Ziqing Xia, Likun Xia, Ming Ma:
A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI. 141-149 - Sampo Kuutti, Richard Bowden, Harita Joshi, Robert de Temple, Saber Fallah:
Safe Deep Neural Network-Driven Autonomous Vehicles Using Software Safety Cages. 150-160 - D. Marón, Matilde Santos:
Wave and Viscous Resistance Estimation by NN. 161-168 - Jesús Enrique Sierra, Matilde Santos, Juan G. Victores:
Neural Controller of UAVs with Inertia Variations. 169-177
Special Session on Finance and Data Mining
- Peter Mitic:
A Metric Framework for Quantifying Data Concentration. 181-190 - Ahmed K. Taha, Mohamed Hamed Kholief, Walid Abdelmoez:
Adaptive Machine Learning-Based Stock Prediction Using Financial Time Series Technical Indicators. 191-199
Special Session on Knowledge Discovery from Data
- Livio Cascone, Pietro Ducange, Francesco Marcelloni:
Exploiting Online Newspaper Articles Metadata for Profiling City Areas. 203-215 - Nishant Gurrapadi, Lydia Taw, Mariana Macedo, Marcos A. C. Oliveira, Diego Pinheiro, Carmelo J. A. Bastos Filho, Ronaldo Menezes:
Modelling the Social Interactions in Ant Colony Optimization. 216-224 - Alfredo Cuzzocrea, Enzo Mumolo, Carson K. Leung, Giorgio Mario Grasso:
An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments. 225-237 - Valeria Fionda, Gianluigi Greco:
Control-Flow Business Process Summarization via Activity Contraction. 238-248 - Michael Flynn, Anthony J. Bagnall:
Classifying Flies Based on Reconstructed Audio Signals. 249-258 - Sampriti Mahanty, Frank Boons, Julia Handl, Riza Batista-Navarro:
Studying the Evolution of the 'Circular Economy' Concept Using Topic Modelling. 259-270 - José Carlos Coutinho, João Mendes Moreira, Cláudio Rebelo de Sá:
Mining Frequent Distributions in Time Series. 271-279 - Ramón Moreno, Juan Carlos Pereira, Alex López, Asif Mohammed, Parsha Pahlevannejad:
Time Series Display for Knowledge Discovery on Selective Laser Melting Machines. 280-290
Special Session on Machine Learning Algorithms for Hard Problems
- Seetah ALSalamah, Riza Batista-Navarro, Ross D. King:
Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy. 293-304 - Bogdan Gulowaty, Pawel Ksieniewicz:
SMOTE Algorithm Variations in Balancing Data Streams. 305-312 - Alfredo Cuzzocrea, Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
Multi-class Text Complexity Evaluation via Deep Neural Networks. 313-322 - Jedrzej Kozal, Pawel Ksieniewicz:
Imbalance Reduction Techniques Applied to ECG Classification Problem. 323-331 - Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak:
Machine Learning Methods for Fake News Classification. 332-339 - Jakub Klikowski, Pawel Ksieniewicz, Michal Wozniak:
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification. 340-352 - Michal Choras, Marek Pawlicki, Rafal Kozik:
The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain. 353-360
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