Artificial Intelligence Applications and Innovations

1. Front Matter

   Pages I-XXV

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2. Medical Artificial Intelligence Modeling (MAIM)

   1. Front Matter

      Pages 1-1

      PDF

   2. A Cumulative Training Approach to Schistosomiasis Vector Density Prediction

      • Terence Fusco, Yaxin Bi

      Pages 3-13

   3. A Mobile and Evolving Tool to Predict Colorectal Cancer Survivability

      • Ana Silva, Tiago Oliveira, Vicente Julian, José Neves, Paulo Novais

      Pages 14-26

   4. An Implementation of a Decision-Making Algorithm Based on a Novel Health Status Transition Model of Epilepsy

      • Mandani Ntekouli, Maria Marouli, Georgia Konstantopoulou, George Anastassopoulos, Dimitrios Lymperopoulos

      Pages 27-38

   5. Integrative Bioinformatic Analysis of a Greek Epidemiological Cohort Provides Insight into the Pathogenesis of Primary Cutaneous Melanoma

      • Georgia Kontogianni, Olga Papadodima, Ilias Maglogiannis, Konstantina Frangia-Tsivou, Aristotelis Chatziioannou

      Pages 39-52

   6. Machine Learning Preprocessing Method for Suicide Prediction

      • Theodoros Iliou, Georgia Konstantopoulou, Mandani Ntekouli, Dimitrios Lymberopoulos, Konstantinos Assimakopoulos, Dimitrios Galiatsatos et al.

      Pages 53-60

3. Classification – Pattern Recognition (CLASPR)

   1. Front Matter

      Pages 61-61

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   2. Using Frequent Fixed or Variable-Length POS Ngrams or Skip-Grams for Blog Authorship Attribution

      • Yao Jean Marc Pokou, Philippe Fournier-Viger, Chadia Moghrabi

      Pages 63-74

   3. Increasing Diversity in Random Forests Using Naive Bayes

      • Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis

      Pages 75-86

   4. Identifying Asperity Patterns Via Machine Learning Algorithms

      • Kostantinos Arvanitakis, Markos Avlonitis

      Pages 87-93

   5. Combining Prototype Selection with Local Boosting

      • Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis

      Pages 94-105

   6. Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images

      • S. V. Georgakopoulos, K. Kottari, K. Delibasis, V. P. Plagianakos, I. Maglogiannis

      Pages 106-116

4. Ontology-Web and Social Media AI Modeling (OWESOM)

   1. Front Matter

      Pages 117-117

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   2. The eLOD Ontology: Modeling Economic Open Data

      • Michalis Vafopoulos, Gerasimos Razis, Ioannis Anagnostopoulos, Georgios Vafeiadis, Dimitrios Negkas, Eleftherios Galanos et al.

      Pages 119-130

   3. Web Image Indexing Using WICE and a Learning-Free Language Model

      • Nicolas Tsapatsoulis

      Pages 131-140

   4. An Intelligent Internet Search Assistant Based on the Random Neural Network

      • Will Serrano, Erol Gelenbe

      Pages 141-153

   5. Deep Neural Networks for Web Page Information Extraction

      • Tomas Gogar, Ondrej Hubacek, Jan Sedivy

      Pages 154-163

5. Environmental AI Modeling (ENAIM)

   1. Front Matter

      Pages 165-165

      PDF

   2. Modeling Beach Rotation Using a Novel Legendre Polynomial Feedforward Neural Network Trained by Nonlinear Constrained Optimization

      • Anastasios Rigos, George E. Tsekouras, Antonios Chatzipavlis, Adonis F. Velegrakis

      Pages 167-179

This book constitutes the refereed proceedings of the 12th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in Thessaloniki, Greece, in September 2016. The workshops are the Third Workshop on New Methods and Tools for Big Data, MT4BD 2016, the 5th Mining Humanistic Data Workshop, MHDW 2016, and the First Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2016.The 30 revised full papers and 8 short papers presented at the main conference were carefully reviewed and selected from 65 submissions. The 17 revised full papers and 7 short papers presented at the 3 parallel workshops were selected from 33 submissions. The papers cover a broad range of topics such as artificial neural networks, classification, clustering, control systems - robotics, data mining, engineering application of AI, environmental applications of AI, feature reduction, filtering, financial-economics modeling, fuzzy logic, genetic algorithms, hybrid systems, image and video processing, medical AI applications, multi-agent systems, ontology, optimization, pattern recognition, support vector machines, text mining, and Web-social media data AI modeling.


 

• 5G
• algorithms
• artificial intelligence
• big data
• classification
• clustering
• data mining
• genetic algorithms
• information retrieval
• learning algorithms
• machine learning
• mobile computing
• neural networks
• pattern recognition
• social media
• supervised learning
• Support Vector Machines (SVM)
• telecommunication networks
• wireless networks
• World Wide Web

• Democritus University of Thrace , Thessaloniki, Greece

  Lazaros Iliadis

• University of Piraeus , Piraeus, Greece

  Ilias Maglogiannis

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