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Advances in Computational Intelligence Systems

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Cover of 'Advances in Computational Intelligence Systems'

Table of Contents

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    Book Overview
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    Chapter 1 On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms
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    Chapter 2 The Influence of Age Assignments on the Performance of Immune Algorithms
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    Chapter 3 Evolutionary Constraint in Artificial Gene Regulatory Networks
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    Chapter 4 Exploiting Tournament Selection for Efficient Parallel Genetic Programming
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    Chapter 5 Solving Partial Differential Equations with Bernstein Neural Networks
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    Chapter 6 Daily Energy Price Forecasting Using a Polynomial NARMAX Model
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    Chapter 7 Model Selection in Online Learning for Times Series Forecasting
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    Chapter 8 Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers
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    Chapter 9 Medical Expert Systems – A Study of Trust and Acceptance by Healthcare Stakeholders
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    Chapter 10 Agent Based Micro-simulation of a Passenger Rail System Using Customer Survey Data and an Activity Based Approach
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    Chapter 11 Fintech Bitcoin Smart Investment Based on the Random Neural Network with a Genetic Algorithm
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    Chapter 12 Generating ANFISs Through Rule Interpolation: An Initial Investigation
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    Chapter 13 Disentangling the Latent Space of (Variational) Autoencoders for NLP
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    Chapter 14 A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection
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    Chapter 15 Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System
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    Chapter 16 A Study on CNN Transfer Learning for Image Classification
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    Chapter 17 Dendritic Cell Algorithm with Fuzzy Inference System for Input Signal Generation
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    Chapter 18 A Method of Abstractness Ratings for Chinese Concepts
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    Chapter 19 Effective Diagnosis of Diabetes with a Decision Tree-Initialised Neuro-fuzzy Approach
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    Chapter 20 A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets
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    Chapter 21 Classification of Heterogeneous Data Based on Data Type Impact on Similarity
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    Chapter 22 Clustering-Based Fuzzy Finite State Machine for Human Activity Recognition
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    Chapter 23 Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data
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    Chapter 24 Online Object Trajectory Classification Using FPGA-SoC Devices
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    Chapter 25 Key Frame Extraction and Classification of Human Activities Using Motion Energy
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    Chapter 26 A Comprehensive Obstacle Avoidance System of Mobile Robots Using an Adaptive Threshold Clustering and the Morphin Algorithm
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    Chapter 27 Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks
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    Chapter 28 Mining Unit Feedback to Explore Students’ Learning Experiences
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    Chapter 29 Dimension Reduction Based on Geometric Reasoning for Reducts
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    Chapter 30 Anomaly Detection in Activities of Daily Living Using One-Class Support Vector Machine
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    Chapter 31 Towards Active Muscle Pattern Analysis for Dynamic Hand Motions via sEMG
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    Chapter 32 A Novel Crossings-Based Segmentation Approach for Gesture Recognition
Attention for Chapter 15: Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System
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Chapter title
Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System
Chapter number 15
Book title
Advances in Computational Intelligence Systems
Published by
Springer, Cham, August 2018
DOI 10.1007/978-3-319-97982-3_15
Book ISBNs
978-3-31-997981-6, 978-3-31-997982-3
Authors

Jordan J. Bird, Anikó Ekárt, Diego R. Faria, Bird, Jordan J., Ekárt, Anikó, Faria, Diego R.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 15%
Student > Master 9 15%
Student > Doctoral Student 4 6%
Lecturer 4 6%
Researcher 4 6%
Other 7 11%
Unknown 25 40%
Readers by discipline Count As %
Computer Science 18 29%
Engineering 6 10%
Business, Management and Accounting 5 8%
Unspecified 1 2%
Linguistics 1 2%
Other 3 5%
Unknown 28 45%