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Artificial Intelligence Applications and Innovations

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Table of Contents

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    Book Overview
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    Chapter 1 A Probabilistic Approach to Organic Component Detection in Leishmania Infected Microscopy Images
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    Chapter 2 Combination of M-Estimators and Neural Network Model to Analyze Inside/Outside Bark Tree Diameters
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    Chapter 3 Artificial Intelligence Applications and Innovations
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    Chapter 4 Support Vector Machine Classification of Protein Sequences to Functional Families Based on Motif Selection
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    Chapter 5 A Multi-objective Genetic Algorithm for Software Development Team Staffing Based on Personality Types
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    Chapter 6 Artificial Intelligence Applications and Innovations
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    Chapter 7 Fine Tuning of a Wet Clutch Engagement by Means of a Genetic Algorithm
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    Chapter 8 A Representational MDL Framework for Improving Learning Power of Neural Network Formalisms
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    Chapter 9 On the Design and Training of Bots to Play Backgammon Variants
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    Chapter 10 Surrogate Modelling of Solutions of Integral Equations by Neural Networks
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    Chapter 11 A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining
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    Chapter 12 Improved POS-Tagging for Arabic by Combining Diverse Taggers
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    Chapter 13 Multithreaded Implementation of the Slope One Algorithm for Collaborative Filtering
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    Chapter 14 Experimental Identification of Pilot Response Using Measured Data from a Flight Simulator
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    Chapter 15 A Probabilistic Knowledge-Based Information System for Environmental Policy Modeling and Decision Making
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    Chapter 16 Conceptualization and Significance Study of a New Appliation CS-MIR
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    Chapter 17 Physical Bongard Problems
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    Chapter 18 Taxonomy Development and Its Impact on a Self-learning e-Recruitment System
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    Chapter 19 Fuzzy Energy-Based Active Contours Exploiting Local Information
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    Chapter 20 Fuzzy Friction Modeling for Adaptive Control of Mechatronic Systems
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    Chapter 21 Fuzzy Graph Language Recognizability
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    Chapter 22 Adaptive Intuitionistic Fuzzy Inference Systems of Takagi-Sugeno Type for Regression Problems
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    Chapter 23 A Hybrid Method for Evaluating Biomass Suppliers – Use of Intuitionistic Fuzzy Sets and Multi-Periodic Optimization
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    Chapter 24 A Neural Network for Spatial and Temporal Modeling of foF2 Data Based on Satellite Measurements
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    Chapter 25 Detecting Glycosylations in Complex Samples
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    Chapter 26 Experiments with Face Recognition Using a Novel Approach Based on CVQ Technique
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    Chapter 27 Novel Matching Methods for Automatic Face Recognition Using SIFT
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    Chapter 28 Exploring the Design Space of a Declarative Framework for Automated Negotiation: Initial Considerations
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    Chapter 29 Hybrid and Reinforcement Multi Agent Technology for Real Time Air Pollution Monitoring
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    Chapter 30 Rule-Based Behavior Prediction of Opponent Agents Using Robocup 3D Soccer Simulation League Logfiles
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    Chapter 31 An Ontology-Based Model for Student Representation in Intelligent Tutoring Systems for Distance Learning
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    Chapter 32 Assistant Tools for Teaching FOL to CF Conversion
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    Chapter 33 Effective Diagnostic Feedback for Online Multiple-Choice Questions
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    Chapter 34 A Fast Hybrid k -NN Classifier Based on Homogeneous Clusters
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    Chapter 35 A Spatially-Constrained Normalized Gamma Process for Data Clustering
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    Chapter 36 GamRec: A Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing
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    Chapter 37 Enhancing Clustering by Exploiting Complementary Data Modalities in the Medical Domain
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    Chapter 38 Extraction of Web Image Information: Semantic or Visual Cues?
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    Chapter 39 Trust-Aware Clustering Collaborative Filtering: Identification of Relevant Items
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    Chapter 40 Unsupervised Detection of Fibrosis in Microscopy Images Using Fractals and Fuzzy c-Means Clustering
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    Chapter 41 Image Threshold Selection Exploiting Empirical Mode Decomposition
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    Chapter 42 Modelling Crowdsourcing Originated Keywords within the Athletics Domain
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    Chapter 43 Scalable Object Encoding Using Multiplicative Multilinear Inter-camera Prediction in the Context of Free View 3D Video
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    Chapter 44 Correlation between Seismic Intensity Parameters of HHT-Based Synthetic Seismic Accelerograms and Damage Indices of Buildings
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    Chapter 45 Improving Current and Voltage Transformers Accuracy Using Artificial Neural Network
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    Chapter 46 Modeling of Syllogisms in Analog Hardware
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    Chapter 47 A New Approach to High Impedance Fault Detection Based on Correlation Functions
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    Chapter 48 Network Selection in a Virtual Network Operator Environment
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    Chapter 49 Position and Velocity Predictions of the Piston in a Wet Clutch System during Engagement by Using a Neural Network Modeling
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    Chapter 50 Uniform Asymptotic Stability and Global Asymptotic Stability for Time-Delay Hopfield Neural Networks
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Artificial Intelligence Applications and Innovations
Published by
Springer Berlin Heidelberg, September 2012
DOI 10.1007/978-3-642-33409-2
978-3-64-233408-5, 978-3-64-233409-2

Iliadis, Lazaros, Maglogiannis, Ilias, Papadopoulos, Harris

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Lecturer 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 1 20%
Medicine and Dentistry 1 20%
Engineering 1 20%
Unknown 2 40%