Artificial Intelligence Applications and Innovations

1. Front Matter

   Pages i-xxiv

   PDF

2. Invited Paper

   1. Front Matter

      Pages 1-1

      PDF

   2. The Power of the “Pursuit” Learning Paradigm in the Partitioning of Data

      • Abdolreza Shirvani, B. John Oommen

      Pages 3-16

3. AI Anomaly Detection - Active Learning

   1. Front Matter

      Pages 17-17

      PDF

   2. Cyber-Typhon: An Online Multi-task Anomaly Detection Framework

      • Konstantinos Demertzis, Lazaros Iliadis, Panayiotis Kikiras, Nikos Tziritas

      Pages 19-36

   3. Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme

      • Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Christos Aridas, Sotiris Kotsiantis

      Pages 37-49

   4. The Blockchain Random Neural Network in Cybersecurity and the Internet of Things

      • Will Serrano

      Pages 50-63

4. Autonomous Vehicles - Aerial Vehicles

   1. Front Matter

      Pages 65-65

      PDF

   2. A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios

      • Qinbing Fu, Nicola Bellotto, Huatian Wang, F. Claire Rind, Hongxin Wang, Shigang Yue

      Pages 67-79

   3. An LGMD Based Competitive Collision Avoidance Strategy for UAV

      • Jiannan Zhao, Xingzao Ma, Qinbing Fu, Cheng Hu, Shigang Yue

      Pages 80-91

   4. Mixture Modules Based Intelligent Control System for Autonomous Driving

      • Tangyike Zhang, Songyi Zhang, Yu Chen, Chao Xia, Shitao Chen, Nanning Zheng

      Pages 92-104

5. Biomedical AI

   1. Front Matter

      Pages 105-105

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   2. An Adaptive Temporal-Causal Network Model for Stress Extinction Using Fluoxetine

      • S. Sahand Mohammadi Ziabari

      Pages 107-119

   3. Clustering Diagnostic Profiles of Patients

      • Jaakko Hollmén, Panagiotis Papapetrou

      Pages 120-126

   4. Emotion Analysis in Hospital Bedside Infotainment Platforms Using Speeded up Robust Features

      • A. Kallipolitis, M. Galliakis, A. Menychtas, I. Maglogiannis

      Pages 127-138

   5. FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance

      • Corinne G. Allaart, Lena Mondrejevski, Panagiotis Papapetrou

      Pages 139-151

6. Classification - Clustering

   1. Front Matter

      Pages 153-153

      PDF

   2. A New Topology-Preserving Distance Metric with Applications to Multi-dimensional Data Clustering

      • Konstantinos K. Delibasis

      Pages 155-166

   3. Classification of Incomplete Data Using Autoencoder and Evidential Reasoning

      • Suvra Jyoti Choudhury, Nikhil R. Pal

      Pages 167-177

   4. Dynamic Reliable Voting in Ensemble Learning

      • Agus Budi Raharjo, Mohamed Quafafou

      Pages 178-187

This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019.

The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical  and bioinformatics algorithms and systems; feature selection; emotion recognition; hybrid Intelligent models; classification - pattern recognition; intelligent security modeling; complex stochastic games; unsupervised machine learning; ANN in industry; intelligent clustering; convolutional and recurrent ANN; recommender systems; intelligent telecommunications modeling; and intelligent hybrid systems using Internet of Things. The papers are organized in the following topical sections:
AI anomaly detection - active learning; autonomous vehicles - aerial vehicles; biomedical AI; classification - clustering; constraint programming - brain inspired modeling; deep learning - convolutional ANN; fuzzy modeling; learning automata - logic based reasoning; machine learning - natural language; multi agent - IoT; nature inspired flight and robot; control - machine vision; and recommendation systems.

• artificial intelligence
• classification
• computational linguistics
• data mining
• data security
• fuzzy logic
• image processing
• image reconstruction
• image segmentation
• information retrieval
• internet
• learning algorithms
• machine learning
• neural networks
• robotics
• semantics
• Support Vector Machines (SVM)
• user interfaces
• World Wide Web

• University of Sunderland, Sunderland, UK

  John MacIntyre

• University of Piraeus, Piraeus, Greece

  Ilias Maglogiannis

• Democritus University of Thrace, Xanthi, Greece

  Lazaros Iliadis

• University of West England, Bristol, UK

  Elias Pimenidis

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