Artificial Intelligence Applications and Innovations

1. Front Matter

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2. Keynote

   1. Conjoint Mining of Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems

      • Tharam S. Dillon, Yi-Ping Phoebe Chen, Elizabeth Chang, Mukesh Mohania

      Pages 1-19

3. Learning-Ensemble Learning

   1. Breaking Ties of Plurality Voting in Ensembles of Distributed Neural Network Classifiers Using Soft Max Accumulations

      • Yiannis Kokkinos, Konstantinos G. Margaritis

      Pages 20-28

   2. Predicting Firms’ Credit Ratings Using Ensembles of Artificial Immune Systems and Machine Learning – An Over-Sampling Approach

      • Petr Hájek, Vladimír Olej

      Pages 29-38

   3. Automating Transition Functions: A Way To Improve Trading Profits with Recurrent Reinforcement Learning

      • Jin Zhang

      Pages 39-49

   4. Utilising Tree-Based Ensemble Learning for Speaker Segmentation

      • Mohamed Abou-Zleikha, Zheng-Hua Tan, Mads Græsbøll Christensen, Søren Holdt Jensen

      Pages 50-59

4. Social Media and Mobile Applications of AI

   1. Speakers’ Language Characteristics Analysis of Online Educational Videos

      • Dimitrios Kravvaris, Katia Lida Kermanidis

      Pages 60-69

   2. Fall Detection Using Commodity Smart Watch and Smart Phone

      • Ilias Maglogiannis, Charalampos Ioannou, George Spyroglou, Panayiotis Tsanakas

      Pages 70-78

   3. Predicting Information Diffusion Patterns in Twitter

      • Eleanna Kafeza, Andreas Kanavos, Christos Makris, Pantelis Vikatos

      Pages 79-89

   4. An Ensemble of HMMs for Cognitive Fault Detection in Distributed Sensor Networks

      • Manuel Roveri, Francesco Trovò

      Pages 90-100

   5. Modeling ReTweet Diffusion Using Emotional Content

      • Andreas Kanavos, Isidoros Perikos, Pantelis Vikatos, Ioannis Hatzilygeroudis, Christos Makris, Athanasios Tsakalidis

      Pages 101-110

5. Hybrid - Changing Environments

   1. A Partially-Observable Markov Decision Process for Dealing with Dynamically Changing Environments

      • Sotirios P. Chatzis, Dimitrios Kosmopoulos

      Pages 111-120

   2. Platform for Simulation and Improvement of Swarm Behavior in Changing Environments

      • Sergi Canyameres, Doina Logofătu

      Pages 121-129

   3. A Neuro-memetic System for Music Composing

      • Jacek Mańdziuk, Aleksandra Woźniczko, Marcin Goss

      Pages 130-139

   4. Profound Degree: A Conservative Heuristic to Repair Dynamic CSPs

      • Yosra Acodad, Amine Benamrane, Imade Benelallam, El Houssine Bouyakhf

      Pages 140-149

6. Agents (AGE)

   1. A Greedy Agent-Based Resource Allocation in the Smart Electricity Markets

      • Armin Ghasem Azar, Mansoor Davoodi, Mohsen Afsharchi, Bahram Sadeghi Bigham

      Pages 150-161

   2. Implicit Predictive Indicators: Mouse Activity and Dwell Time

      • Stephen Akuma, Chrisina Jayne, Rahat Iqbal, Faiyaz Doctor

      Pages 162-171

   3. Normative Monitoring of Agents to Build Trust in an Environment for B2B

      • Eugénio Oliveira, Henrique Lopes Cardoso, Maria Joana Urbano, Ana Paula Rocha

      Pages 172-181

   4. Extending the Kouretes Statechart Editor for Generic Agent Behavior Development

      • Georgios L. Papadimitriou, Nikolaos I. Spanoudakis, Michail G. Lagoudakis

      Pages 182-192

   5. Hierarchic Fuzzy Approach Applied in the Development of an Autonomous Architecture for Mobile Agents

      • Márcio Mendonça, Esdras Salgado da Silva, Karina Assolari Takano, Mauricio Iwama Takano, Lúcia Valéria Ramos de Arruda

      Pages 193-202

This book constitutes the refereed proceedings of the 10th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014. The 33 revised full papers and 29 short papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: learning-ensemble learning; social media and mobile applications of AI; hybrid-changing environments; agent (AGE); classification pattern recognition; genetic algorithms; image and video processing; feature extraction; environmental AI; simulations and fuzzy modeling; and data mining forecasting.

• artificial intelligence
• artificial neural networks
• bioinformatics
• classification
• clustering
• computer vision
• control systems
• data mining
• environmental applications
• evolutionary computing
• feature extraction
• image processing
• knowledge representation and reasoning
• machine learning
• mobile computing
• multi-agent systems
• optimization
• pattern recognition
• social computing

• Department of Forestry and Management of the Environment, Democritus University of Thrace, Orestiada, Greece

  Lazaros Iliadis

• Department of Digital Systems, University of Piraeus, Piraeus, Greece

  Ilias Maglogiannis

• Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus

  Harris Papadopoulos

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