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Recent Advances of Neural Network Models and Applications

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Cover of 'Recent Advances of Neural Network Models and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Identifying Emergent Dynamical Structures in Network Models
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    Chapter 2 Experimental Guidelines for Semantic-Based Regularization
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    Chapter 3 A Preliminary Study on Transductive Extreme Learning Machines
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    Chapter 4 Avoiding the Cluster Hypothesis in SV Classification of Partially Labeled Data
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    Chapter 5 Learning Capabilities of ELM-Trained Time-Varying Neural Networks
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    Chapter 6 A Quality-Driven Ensemble Approach to Automatic Model Selection in Clustering
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    Chapter 7 An Adaptive Reference Point Approach to Efficiently Search Large Chemical Databases
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    Chapter 8 A Methodological Proposal for an Evolutionary Approach to Parameter Inference in MURAME-Based Problems
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    Chapter 9 Genetic Art in Perspective
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    Chapter 10 Proportionate Algorithms for Blind Source Separation
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    Chapter 11 Pupillometric Study of the Dysregulation of the Autonomous Nervous System by SVM Networks
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    Chapter 12 A Memristor Circuit Using Basic Elements with Memory Capability
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    Chapter 13 Effects of Pruning on Phase-Coding and Storage Capacity of a Spiking Network
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    Chapter 14 Predictive Analysis of the Seismicity Level at Campi Flegrei Volcano Using a Data-Driven Approach
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    Chapter 15 Robot Localization by Echo State Networks Using RSS
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    Chapter 16 An Object Based Analysis Applied to Very High Resolution Remote Sensing Data for the Change Detection of Soil Sealing at Urban Scale
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    Chapter 17 EEG Complexity Modifications and Altered Compressibility in Mild Cognitive Impairment and Alzheimer’s Disease
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    Chapter 18 Smart Home Task and Energy Resource Scheduling Based on Nonlinear Programming
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    Chapter 19 Data Fusion Using a Factor Graph for Ship Tracking in Harbour Scenarios
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    Chapter 20 Reinforcement Learning for Automated Financial Trading: Basics and Applications
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    Chapter 21 A Collaborative Filtering Recommender Exploiting a SOM Network
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    Chapter 22 SVM Tree for Personalized Transductive Learning in Bioinformatics Classification Problems
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    Chapter 23 Multi-Country Mortality Analysis Using Self Organizing Maps
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    Chapter 24 A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms
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    Chapter 25 Adaptive Neuro-Fuzzy Inference Systems vs. Stochastic Models for Mortality Data
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    Chapter 26 Recent Approaches in Handwriting Recognition with Markovian Modelling and Recurrent Neural Networks
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    Chapter 27 Do Relationships Exist between Brain-Hand Language and Daily Function Characteristics of Children with a Hidden Disability?
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    Chapter 28 Corpus Linguistics and the Appraisal Framework for Retrieving Emotion and Stance – The Case of Samsung’s and Apple’s Facebook Pages
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    Chapter 29 Which Avatars Comfort Children?
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    Chapter 30 The Effects of Hand Gestures on Psychosocial Perception: A Preliminary Study
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    Chapter 31 The Influence of Positive and Negative Emotions on Physiological Responses and Memory Task Scores
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    Chapter 32 Mood Effects on the Decoding of Emotional Voices
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    Chapter 33 The Ascending Reticular Activating System
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    Chapter 34 Conversational Entrainment in the Use of Discourse Markers
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    Chapter 35 Language and Gender Effect in Decoding Emotional Information: A Study on Lithuanian Subjects
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    Chapter 36 Preliminary Experiments on Automatic Gender Recognition Based on Online Capital Letters
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    Chapter 37 End-User Design of Emotion-Adaptive Dialogue Strategies for Therapeutic Purposes
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    Chapter 38 Modulation of Cognitive Goals and Sensorimotor Actions in Face-to-Face Communication by Emotional States: The Action-Based Approach
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    Chapter 39 Investigating the Form-Function-Relation of the Discourse Particle “hm” in a Naturalistic Human-Computer Interaction
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    Chapter 40 Intended and Unintended Offence
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    Chapter 41 Conceptual Spaces for Emotion Identification and Alignment
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    Chapter 42 Emotions and Moral Judgment: A Multimodal Analysis
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    Chapter 43 Contextual Information and Reappraisal of Negative Emotional Events
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    Chapter 44 Deciding with (or without) the Future in Mind: Individual Differences in Decision-Making
Attention for Chapter 33: The Ascending Reticular Activating System
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Chapter title
The Ascending Reticular Activating System
Chapter number 33
Book title
Recent Advances of Neural Network Models and Applications
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-04129-2_33
Book ISBNs
978-3-31-904128-5, 978-3-31-904129-2
Authors

Mauro Maldonato

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The data shown below were collected from the profiles of 2 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 24%
Student > Bachelor 4 19%
Student > Ph. D. Student 2 10%
Professor > Associate Professor 2 10%
Student > Master 1 5%
Other 0 0%
Unknown 7 33%
Readers by discipline Count As %
Neuroscience 6 29%
Psychology 3 14%
Medicine and Dentistry 3 14%
Computer Science 1 5%
Engineering 1 5%
Other 0 0%
Unknown 7 33%