Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II

Front Matter ....Pages i-xxi
Front Matter ....Pages 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)....Pages 3-11
 Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering  (Susana Nascimento, Nuno Madaleno)....Pages 12-20
Front Matter ....Pages 21-21
 Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation  (Rui Rodrigues, Rui Neves Madeira, Nuno Correia, Carla Fernandes, Sara Ribeiro)....Pages 23-30
 New Interfaces for Classifying Performance Gestures in Music  (Chris Rhodes, Richard Allmendinger, Ricardo Climent)....Pages 31-42
Front Matter ....Pages 43-43
 Classifying Ransomware Using Machine Learning Algorithms  (Samuel Egunjobi, Simon Parkinson, Andrew Crampton)....Pages 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)....Pages 53-60
 The Use of Unified Activity Records to Predict Requests Made by Applications for External Services  (Maciej Grzenda, Robert Kunicki, Jaroslaw Legierski)....Pages 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)....Pages 70-77
 Multitemporal Aerial Image Registration Using Semantic Features  (Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin)....Pages 78-86
Front Matter ....Pages 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)....Pages 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)....Pages 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)....Pages 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)....Pages 114-122
 A Clustering-Based Patient Grouper for Burn Care  (Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Ken W. Dunn)....Pages 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)....Pages 132-138
Front Matter ....Pages 139-139
 A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI  (Ziqing Xia, Likun Xia, Ming Ma)....Pages 141-149
 Safe Deep Neural Network-Driven Autonomous Vehicles Using Software Safety Cages  (Sampo Kuutti, Richard Bowden, Harita Joshi, Robert de Temple, Saber Fallah)....Pages 150-160
 Wave and Viscous Resistance Estimation by NN  (D. Marón, M. Santos)....Pages 161-168
 Neural Controller of UAVs with Inertia Variations  (J. Enrique Sierra-Garcia, Matilde Santos, Juan G. Victores)....Pages 169-177
Front Matter ....Pages 179-179
 A Metric Framework for Quantifying Data Concentration  (Peter Mitic)....Pages 181-190
 Adaptive Machine Learning-Based Stock Prediction Using Financial Time Series Technical Indicators  (Ahmed K. Taha, Mohamed H. Kholief, Walid AbdelMoez)....Pages 191-199
Front Matter ....Pages 201-201
 Exploiting Online Newspaper Articles Metadata for Profiling City Areas  (Livio Cascone, Pietro Ducange, Francesco Marcelloni)....Pages 203-215
 Modelling the Social Interactions in Ant Colony Optimization  (Nishant Gurrapadi, Lydia Taw, Mariana Macedo, Marcos Oliveira, Diego Pinheiro, Carmelo Bastos-Filho et al.)....Pages 216-224
 An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments  (Alfredo Cuzzocrea, Enzo Mumolo, Carson K. Leung, Giorgio Mario Grasso)....Pages 225-237
 Control-Flow Business Process Summarization via Activity Contraction  (Valeria Fionda, Gianluigi Greco)....Pages 238-248
 Classifying Flies Based on Reconstructed Audio Signals  (Michael Flynn, Anthony Bagnall)....Pages 249-258
 Studying the Evolution of the ‘Circular Economy’ Concept Using Topic Modelling  (Sampriti Mahanty, Frank Boons, Julia Handl, Riza Batista-Navarro)....Pages 259-270
 Mining Frequent Distributions in Time Series  (José Carlos Coutinho, João Mendes Moreira, Cláudio Rebelo de Sá)....Pages 271-279
 Time Series Display for Knowledge Discovery on Selective Laser Melting Machines  (Ramón Moreno, Juan Carlos Pereira, Alex López, Asif Mohammed, Prasha Pahlevannejad)....Pages 280-290
Front Matter ....Pages 291-291
 Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy  (Seetah ALSalamah, Riza Batista-Navarro, Ross D. King)....Pages 293-304
 SMOTE Algorithm Variations in Balancing Data Streams  (Bogdan Gulowaty, Paweł Ksieniewicz)....Pages 305-312
 Multi-class Text Complexity Evaluation via Deep Neural Networks  (Alfredo Cuzzocrea, Giosué Lo Bosco, Giovanni Pilato, Daniele Schicchi)....Pages 313-322
 Imbalance Reduction Techniques Applied to ECG Classification Problem  (Jȩdrzej Kozal, Paweł Ksieniewicz)....Pages 323-331
 Machine Learning Methods for Fake News Classification  (Paweł Ksieniewicz, Michał Choraś, Rafał Kozik, Michał Woźniak)....Pages 332-339
 A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification  (Jakub Klikowski, Paweł Ksieniewicz, Michał Woźniak)....Pages 340-352
 The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain  (Michał Choraś, Marek Pawlicki, Rafał Kozik)....Pages 353-360
Back Matter ....Pages 361-364