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Artificial Intelligence Applications and Innovations

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Table of Contents

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    Book Overview
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    Chapter 1 An Adaptive Approach on Credit Card Fraud Detection Using Transaction Aggregation and Word Embeddings
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    Chapter 2 Boosted Ensemble Learning for Anomaly Detection in 5G RAN
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    Chapter 3 Machine Learning for Cognitive Load Classification – A Case Study on Contact-Free Approach
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    Chapter 4 Real-Time Prediction of Online Shoppers’ Purchasing Intention Using Random Forest
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    Chapter 5 Using Classification for Traffic Prediction in Smart Cities
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    Chapter 6 Using Twitter to Predict Chart Position for Songs
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    Chapter 7 Α Benchmarking of IBM, Google and Wit Automatic Speech Recognition Systems
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    Chapter 8 A Two-Levels Data Anonymization Approach
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    Chapter 9 An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents
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    Chapter 10 k-means Cluster Shape Implications
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    Chapter 11 Manifold Learning for Innovation Funding: Identification of Potential Funding Recipients
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    Chapter 12 Network Aggregation to Enhance Results Derived from Multiple Analytics
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    Chapter 13 PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management
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    Chapter 14 Demand Forecasting of Short Life Cycle Products Using Data Mining Techniques
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    Chapter 15 Arbitrary Scale Super-Resolution for Brain MRI Images
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    Chapter 16 Knowledge-Based Fusion for Image Tampering Localization
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    Chapter 17 Transfer Learning Using Convolutional Neural Network Architectures for Brain Tumor Classification from MRI Images
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    Chapter 18 A Novel Learning Automata-Based Strategy to Generate Melodies from Chordal Inputs
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    Chapter 19 Graph Neural Networks to Advance Anticancer Drug Design
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    Chapter 20 Optimizing Self-organizing Lists-on-Lists Using Transitivity and Pursuit-Enhanced Object Partitioning
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    Chapter 21 Task-Projected Hyperdimensional Computing for Multi-task Learning
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    Chapter 22 Cross-Domain Authorship Attribution Using Pre-trained Language Models
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    Chapter 23 Indoor Localization with Multi-objective Selection of Radiomap Models
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    Chapter 24 STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing
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    Chapter 25 Tensor-Based CUDA Optimization for ANN Inferencing Using Parallel Acceleration on Embedded GPU
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    Chapter 26 The Random Neural Network in Price Predictions
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    Chapter 27 Joint Multi-object Detection and Segmentation from an Untrimmed Video
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    Chapter 28 Robust 3D Detection in Traffic Scenario with Tracking-Based Coupling System
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    Chapter 29 Automated MeSH Indexing of Biomedical Literature Using Contextualized Word Representations
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    Chapter 30 Knowledge-Based Management and Reasoning on Cultural and Natural Touristic Routes
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    Chapter 31 Ontological Foundations of Modelling Security Policies for Logical Analytics
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    Chapter 32 RDF Reasoning on Large Ontologies: A Study on Cultural Heritage and Wikidata
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    Chapter 33 A Deep Learning Approach to Aspect-Based Sentiment Prediction
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    Chapter 34 On the Reusability of Sentiment Analysis Datasets in Applications with Dissimilar Contexts
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    Chapter 35 Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations
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    Chapter 36 Sentiment Analysis on Movie Scripts and Reviews
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    Chapter 37 The MuseLearn Platform: Personalized Content for Museum Visitors Assisted by Vision-Based Recognition and 3D Pose Estimation of Exhibits
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    Chapter 38 Promoting Diversity in Content Based Recommendation Using Feature Weighting and LSH
Attention for Chapter 33: A Deep Learning Approach to Aspect-Based Sentiment Prediction
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Chapter title
A Deep Learning Approach to Aspect-Based Sentiment Prediction
Chapter number 33
Book title
Artificial Intelligence Applications and Innovations
Published by
Springer, Cham, May 2020
DOI 10.1007/978-3-030-49161-1_33
Book ISBNs
978-3-03-049160-4, 978-3-03-049161-1
Authors

Georgios Alexandridis, Konstantinos Michalakis, John Aliprantis, Pavlos Polydoras, Panagiotis Tsantilas, George Caridakis, Alexandridis, Georgios, Michalakis, Konstantinos, Aliprantis, John, Polydoras, Pavlos, Tsantilas, Panagiotis, Caridakis, George

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X Demographics

The data shown below were collected from the profiles of 3 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 11%
Librarian 1 4%
Student > Bachelor 1 4%
Student > Doctoral Student 1 4%
Professor 1 4%
Other 1 4%
Unknown 20 71%
Readers by discipline Count As %
Computer Science 5 18%
Linguistics 1 4%
Chemistry 1 4%
Engineering 1 4%
Unknown 20 71%