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Advances in Artificial Intelligence - IBERAMIA 2016

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Cover of 'Advances in Artificial Intelligence - IBERAMIA 2016'

Table of Contents

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    Book Overview
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    Chapter 1 Towards an Integration of Workflows and Clinical Guidelines: A Case Study
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    Chapter 2 Anomalies Detection in the Behavior of Processes Using the Sensor Validation Theory
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    Chapter 3 Explanatory Relations Revisited: Links with Credibility-Limited Revision
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    Chapter 4 Semantic Enrichment of Web Service Operations
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    Chapter 5 The ICARO Goal Driven Agent Pattern
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    Chapter 6 A Study for Self-adapting Urban Traffic Control
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    Chapter 7 A Constraint-Based Approach for the Conciliation of Clinical Guidelines
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    Chapter 8 Intelligence Amplification Framework for Enhancing Scheduling Processes
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    Chapter 9 A Column Generation Approach for Solving a Green Bi-objective Inventory Routing Problem
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    Chapter 10 Enhancing Semi-supevised Text Classification Using Document Summaries
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    Chapter 11 A Comparison Between Two Spanish Sentiment Lexicons in the Twitter Sentiment Analysis Task
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    Chapter 12 Is This a Joke? Detecting Humor in Spanish Tweets
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    Chapter 13 Evaluating Topic-Based Representations for Author Profiling in Social Media
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    Chapter 14 Using Robustness to Learn to Order Semantic Properties in Referring Expression Generation
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    Chapter 15 Conditional Random Fields for Spanish Named Entity Recognition Using Unsupervised Features
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    Chapter 16 Detection of Fraud Symptoms in the Retail Industry
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    Chapter 17 A Machine Learning Model for Occupancy Rates and Demand Forecasting in the Hospitality Industry
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    Chapter 18 A Machine Learning Model for Triage in Lean Pediatric Emergency Departments
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    Chapter 19 An Empirical Validation of Learning Schemes Using an Automated Genetic Defect Prediction Framework
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    Chapter 20 Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography
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    Chapter 21 Machine Learning Models for Early Dengue Severity Prediction
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    Chapter 22 Early Prediction of Severe Maternal Morbidity Using Machine Learning Techniques
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    Chapter 23 Collaborative Filtering with Semantic Neighbour Discovery
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    Chapter 24 Distributed and Parallel Algorithm for Computing Betweenness Centrality
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    Chapter 25 Principal Curves and Surfaces to Interval Valued Variables
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    Chapter 26 In Defense of Online Kmeans for Prototype Generation and Instance Reduction
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    Chapter 27 In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception
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    Chapter 28 Sign Languague Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language
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    Chapter 29 Automatic Generation of Type-1 and Interval Type-2 Membership Functions for Prediction of Time Series Data
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    Chapter 30 Calibration of Microscopic Traffic Flow Simulation Models Using a Memetic Algorithm with Solis and Wets Local Search Chaining (MA-SW-Chains)
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    Chapter 31 A New Strategy Based on Feature Selection for Fault Classification in Transmission Lines
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    Chapter 32 Context Ontologies in Ubiquitous Learning Environments
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    Chapter 33 An Interactive Tool to Support Student Assessment in Programming Assignments
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    Chapter 34 Hidden Markov Models for Artificial Voice Production and Accent Modification
Attention for Chapter 4: Semantic Enrichment of Web Service Operations
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Citations

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Chapter title
Semantic Enrichment of Web Service Operations
Chapter number 4
Book title
Advances in Artificial Intelligence - IBERAMIA 2016
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-47955-2_4
Book ISBNs
978-3-31-947954-5, 978-3-31-947955-2
Authors

Maricela Bravo, José A. Reyes-Ortiz, Roberto Alcántara-Ramírez, Leonardo Sánchez

Editors

Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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