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Hybrid Artificial Intelligent Systems

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Cover of 'Hybrid Artificial Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals
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    Chapter 2 Smartwatch Sleep-Tracking Services Precision Evaluation Using Supervised Domain Adaptation
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    Chapter 3 Tracking and Classification of Features in the Bio-Inspired Layered Networks
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    Chapter 4 Frailty Related Survival Risks at Short and Middle Term of Older Adults Admitted to Hospital
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    Chapter 5 On the Analysis of a Real Dataset of COVID-19 Patients in Alava
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    Chapter 6 Indoor Access Control System Through Symptomatic Examination Using IoT Technology, Fog Computing and Cloud Computing
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    Chapter 7 Measuring the Quality Information of Sources of Cybersecurity by Multi-Criteria Decision Making Techniques
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    Chapter 8 A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms
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    Chapter 9 Comparing Clustering Techniques on Brazilian Legal Document Datasets
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    Chapter 10 Improving Short Query Representation in LDA Based Information Retrieval Systems
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    Chapter 11 A New Game Theoretic Based Random Forest for Binary Classification
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    Chapter 12 Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation
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    Chapter 13 A Decision Support Tool for the Static Allocation of Emergency Vehicles to Stations
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    Chapter 14 Adapting K -Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams
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    Chapter 15 Small Wind Turbine Power Forecasting Using Long Short-Term Memory Networks for Energy Management Systems
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    Chapter 16 CORE-BCD-mAI: A Composite Framework for Representing, Querying, and Analyzing Big Clinical Data by Means of Multidimensional AI Tools
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    Chapter 17 Generalized Fisher Kernel with Bregman Divergence
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    Chapter 18 A HAIS Approach to Predict the Energy Produced by a Solar Panel
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    Chapter 19 Companion Losses for Ordinal Regression
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    Chapter 20 Convex Multi-Task Learning with Neural Networks
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    Chapter 21 Smash: A Compression Benchmark with AI Datasets from Remote GPU Virtualization Systems
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    Chapter 22 Time Series Forecasting Using Artificial Neural Networks
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    Chapter 23 A Fine-Grained Study of Interpretability of Convolutional Neural Networks for Text Classification
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    Chapter 24 Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning
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    Chapter 25 Architecture for Fault Detection in Sandwich Panel Production Using Visual Analytics
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    Chapter 26 Deep Reinforcement Learning-Based Resource Allocation for mm-Wave Dense 5G Networks
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    Chapter 27 Evolutionary Triplet Network of Learning Disentangled Malware Space for Malware Classification
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    Chapter 28 A Two-Level Hybrid Based Genetic Algorithm to Solve the Clustered Shortest-Path Tree Problem Using the Prüfer Code
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    Chapter 29 New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases
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    Chapter 30 Evolving Dynamic Route Generators for Open-Ended ARPs
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    Chapter 31 SHAP Algorithm for Healthcare Data Classification
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    Chapter 32 Assessment of Creditworthiness Models Privacy-Preserving Training with Synthetic Data
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    Chapter 33 Combination of Neural Networks and Reinforcement Learning for Wind Turbine Pitch Control
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    Chapter 34 Survey for Big Data Platforms and Resources Management for Smart Cities
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    Chapter 35 A Proposal for Developing and Deploying Statistical Dialog Management in Commercial Conversational Platforms
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    Chapter 36 Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data
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    Chapter 37 A Conversational Agent for Medical Disclosure of Sexually Transmitted Infections
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    Chapter 38 A Neuro-Symbolic AI System for Visual Question Answering in Pedestrian Video Sequences
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    Chapter 39 Aspects on Image Edge Detection Based on Sensitive Swarm Intelligence
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    Chapter 40 Black Widow Optimization for the Node Location Problem in Localization Wireless Sensor Networks
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    Chapter 41 Hybrid Intelligent Model for Classification of the Boost Converter Switching Operation
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    Chapter 42 A Comparison of Meta-heuristic Based Optimization Methods Using Standard Benchmarks
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    Chapter 43 An Analysis on Hybrid Brain Storm Optimisation Algorithms
Attention for Chapter 17: Generalized Fisher Kernel with Bregman Divergence
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Chapter title
Generalized Fisher Kernel with Bregman Divergence
Chapter number 17
Book title
Hybrid Artificial Intelligent Systems
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-15471-3_17
Book ISBNs
978-3-03-115470-6, 978-3-03-115471-3
Authors

Figuera, Pau, Cuzzocrea, Alfredo, Bringas, Pablo García

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%