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Artificial Intelligence XXXV

Overview of attention for book
Cover of 'Artificial Intelligence XXXV'

Table of Contents

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    Book Overview
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    Chapter 1 Secure Third Party Data Clustering Using $$\varPhi $$ Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices (Best Technical Paper)
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    Chapter 2 Implementing Rules with Artificial Neurons
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    Chapter 3 Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks
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    Chapter 4 A Brain-Inspired Cognitive System that Mimics the Dynamics of Human Thought
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    Chapter 5 Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm
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    Chapter 6 A Versatile Executive Based on T-REX for Any Robotic Domain
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    Chapter 7 Tuning the Discount Factor in Order to Reach Average Optimality on Deterministic MDPs
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    Chapter 8 A Strategical Path Planner for UGV-UAV Cooperation in Mars Terrains
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    Chapter 9 GEP-Based Ensemble Classifier with Drift-Detection
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    Chapter 10 Dynamic Process Workflow Routing Using Deep Learning
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    Chapter 11 The Dreaming Variational Autoencoder for Reinforcement Learning Environments
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    Chapter 12 Abnormality Detection in the Cloud Using Correlated Performance Metrics
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    Chapter 13 Directed Recursion Search: A Directed DFS for Online Pathfinding in Random Grid-Based Environments
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    Chapter 14 Modelling Trust Between Users and AI
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    Chapter 15 Multi-criteria Decision Making with Existential Rules Using Repair Techniques
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    Chapter 16 GramError: A Quality Metric for Machine Generated Songs
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    Chapter 17 Computational Complexity Analysis of Decision Tree Algorithms
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    Chapter 18 Forecasting Student’s Preference in E-learning Systems
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    Chapter 19 Human Motion Recognition Using 3D-Skeleton-Data and Neural Networks
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    Chapter 20 Autonomous Swarm Agents Using Case-Based Reasoning
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    Chapter 21 Beat the Bookmaker – Winning Football Bets with Machine Learning (Best Application Paper)
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    Chapter 22 Rule-Mining and Clustering in Business Process Analysis
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    Chapter 23 Machine Learning in Control Systems: An Overview of the State of the Art
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    Chapter 24 Predicting Fluid Work Demand in Service Organizations Using AI Techniques
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    Chapter 25 Workforce Rostering via Metaheuristics
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    Chapter 26 Incorporating Risk in Field Services Operational Planning Process
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    Chapter 27 Risk Information Recommendation for Engineering Workers
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    Chapter 28 Generalised Decision Level Ensemble Method for Classifying Multi-media Data
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    Chapter 29 Spotting Earnings Manipulation: Using Machine Learning for Financial Fraud Detection
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    Chapter 30 Context Extraction for Aspect-Based Sentiment Analytics: Combining Syntactic, Lexical and Sentiment Knowledge
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    Chapter 31 Confidence in Random Forest for Performance Optimization
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    Chapter 32 Designing a Website Using a Genetic Algorithm
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    Chapter 33 Regulated Information Sharing and Pattern Recognition for Smart Cities
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    Chapter 34 A Middleware to Link Lego Mindstorms Robots with 4th Generation Language Software NetLogo
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    Chapter 35 A Holistic Metric Approach to Solving the Dynamic Location-Allocation Problem
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    Chapter 36 Identifying Variables to Define Innovator Group in the Healthy Food Industry: A Fuzzy Approach
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    Chapter 37 Business Process Workflow Mining Using Machine Learning Techniques for the Rail Transport Industry
Overall attention for this book and its chapters
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Artificial Intelligence XXXV
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-04191-5
978-3-03-004190-8, 978-3-03-004191-5

Bramer, Max, Petridis, Miltos

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As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Researcher 3 12%
Lecturer 1 4%
Unknown 16 64%
Readers by discipline Count As %
Engineering 4 16%
Computer Science 3 12%
Neuroscience 1 4%
Unknown 17 68%