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Artificial Intelligence Applications and Innovations

12th IFIP WG 12.5 International Conference and Workshops, AIAI 2016, Thessaloniki, Greece, September 16-18, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Lazaros Iliadis

    1. Democritus University of Thrace , Thessaloniki, Greece

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    You can also search for this editor in PubMed   Google Scholar

  2. Ilias Maglogiannis

    1. University of Piraeus , Piraeus, Greece

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT, volume 475)

Included in the following conference series:

Conference proceedings info: AIAI 2016.

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Table of contents (62 papers)

  1. Front Matter

    Pages I-XXV
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  2. Medical Artificial Intelligence Modeling (MAIM)

    1. Front Matter

      Pages 1-1
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    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
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    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
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About this book

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.


 

Editors and Affiliations

  • Democritus University of Thrace , Thessaloniki, Greece

    Lazaros Iliadis

  • University of Piraeus , Piraeus, Greece

    Ilias Maglogiannis

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