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Advances in Computational Intelligence

Overview of attention for book
Cover of 'Advances in Computational Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Prediction of Protein Oxidation Sites
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    Chapter 2 Neuronal Texture Analysis in Murine Model of Down’s Syndrome
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    Chapter 3 Architecture for Neurological Coordination Tests Implementation
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    Chapter 4 Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images
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    Chapter 5 Deep Learning to Analyze RNA-Seq Gene Expression Data
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    Chapter 6 Designing BENECA m-Health APP, A Mobile Health Application to Monitor Diet and Physical Activity in Cancer Survivors
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    Chapter 7 Automatic 2D Motion Capture System for Joint Angle Measurement
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    Chapter 8 Mobile Application for Executing Therapies with Robots
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    Chapter 9 Automated EEG Signals Analysis Using Quantile Graphs
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    Chapter 10 Hybrid Models for Short-Term Load Forecasting Using Clustering and Time Series
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    Chapter 11 Multi-resolution Time Series Discord Discovery
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    Chapter 12 A Pliant Arithmetic-Based Fuzzy Time Series Model
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    Chapter 13 Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis
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    Chapter 14 Introducing a Fuzzy-Pattern Operator in Fuzzy Time Series
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    Chapter 15 Scalable Forecasting Techniques Applied to Big Electricity Time Series
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    Chapter 16 Forecasting Financial Time Series with Multiple Kernel Learning
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    Chapter 17 Spatial-Temporal Analysis for Noise Reduction in NDVI Time Series
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    Chapter 18 Hidden-Markov Models for Time Series of Continuous Proportions with Excess Zeros
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    Chapter 19 Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model
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    Chapter 20 Vehicle Classification in Traffic Environments Using the Growing Neural Gas
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    Chapter 21 Recognizing Pedestrian Direction Using Convolutional Neural Networks
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    Chapter 22 XRAY Algorithm for Separable Nonnegative Tensor Factorization
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    Chapter 23 Automatic Learning of Gait Signatures for People Identification
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    Chapter 24 Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs
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    Chapter 25 Machine Learning Improves Human-Robot Interaction in Productive Environments: A Review
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    Chapter 26 Machine Learning Methods from Group to Crowd Behaviour Analysis
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    Chapter 27 Unsupervised Color Quantization with the Growing Neural Forest
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    Chapter 28 3D Body Registration from RGB-D Data with Unconstrained Movements and Single Sensor
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    Chapter 29 Posture Transitions Identification Based on a Triaxial Accelerometer and a Barometer Sensor
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    Chapter 30 Deep Learning for Detecting Freezing of Gait Episodes in Parkinson’s Disease Based on Accelerometers
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    Chapter 31 Presenting a Real-Time Activity-Based Bidirectional Framework for Improving Social Connectedness
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    Chapter 32 Using Ants to Fight Wildfire
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    Chapter 33 Using Evolutionary Computation to Improve Mutation Testing
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    Chapter 34 Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model
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    Chapter 35 A Formal Framework to Specify and Test Systems with Fuzzy-Time Information
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    Chapter 36 Intelligent Transportation System to Control Air Pollution in Cities Using Complex Event Processing and Colored Petri Nets
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    Chapter 37 Heuristics for ROSA’s LTS Searching
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    Chapter 38 Suitable Number of Visual Stimuli for SSVEP-Based BCI Spelling Applications
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    Chapter 39 A Binary Bees Algorithm for P300-Based Brain-Computer Interfaces Channel Selection
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    Chapter 40 A Comparison of a Brain-Computer Interface and an Eye Tracker: Is There a More Appropriate Technology for Controlling a Virtual Keyboard in an ALS Patient?
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    Chapter 41 SSVEP-Based BCI in a Smart Home Scenario
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    Chapter 42 How to Reduce Classification Error in ERP-Based BCI: Maximum Relative Areas as a Feature for P300 Detection
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    Chapter 43 Deep Fisher Discriminant Analysis
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    Chapter 44 An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning
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    Chapter 45 Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation
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    Chapter 46 Combining Ranking with Traditional Methods for Ordinal Class Imbalance
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    Chapter 47 Constraining Type II Error: Building Intentionally Biased Classifiers
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    Chapter 48 Pedestrian Detection for UAVs Using Cascade Classifiers and Saliency Maps
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    Chapter 49 Obstacle Avoidance for Flight Safety on Unmanned Aerial Vehicles
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    Chapter 50 RRT* GL Based Optimal Path Planning for Real-Time Navigation of UAVs
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    Chapter 51 Visual SLAM with a RGB-D Camera on a Quadrotor UAV Using on-Board Processing
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    Chapter 52 An End-User Interface to Generate Homeostatic Behavior for NAO Robot in Robot-Assisted Social Therapies
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    Chapter 53 Graphical Programming Interface for Enabling Non-technical Professionals to Program Robots and Internet-of-Things Devices
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    Chapter 54 Biomimetic Navigation Using CBR
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    Chapter 55 A Pseudo-3D Vision-Based Dual Approach for Machine-Awareness in Indoor Environment Combining Multi-resolution Visual Information
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    Chapter 56 Analysis of the Protocols Used to Assess Virtual Players in Multi-player Computer Games
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    Chapter 57 The Long Path of Frustration: A Case Study with Dead by Daylight
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    Chapter 58 Optimising Humanness: Designing the Best Human-Like Bot for Unreal Tournament 2004
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    Chapter 59 Combining Neural Networks for Controlling Non-player Characters in Games
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    Chapter 60 A Classification System to Assess Low Back Muscle Endurance and Activity Using mHealth Technologies
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    Chapter 61 Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection
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    Chapter 62 General Noise SVRs and Uncertainty Intervals
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    Chapter 63 Towards Visual Training Set Generation Framework
Overall attention for this book and its chapters
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Citations

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Readers on

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Summary X Dimensions citations
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Title
Advances in Computational Intelligence
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-59147-6
ISBNs
978-3-31-959146-9, 978-3-31-959147-6
Authors

Javier Maestre-Garcia, F, Garcia-Martinez, C, Perez-Ortiz, M, Antonio Gutierrez, P, Fernandes, K, Cruz, R, Cardoso, JS, Briceno, J, Hervas-Martinez, C

Editors

Ignacio Rojas, Gonzalo Joya, Andreu Catala

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Researcher 5 15%
Student > Bachelor 4 12%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Engineering 8 24%
Computer Science 6 18%
Biochemistry, Genetics and Molecular Biology 5 15%
Agricultural and Biological Sciences 2 6%
Sports and Recreations 1 3%
Other 2 6%
Unknown 10 29%

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