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Advances in Intelligent Data Analysis XVIII

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Cover of 'Advances in Intelligent Data Analysis XVIII'

Table of Contents

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    Book Overview
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    Chapter 1 Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder
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    Chapter 2 Dual Sequential Variational Autoencoders for Fraud Detection
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    Chapter 3 A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks
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    Chapter 4 Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams
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    Chapter 5 GraphMDL: Graph Pattern Selection Based on Minimum Description Length
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    Chapter 6 Towards Content Sensitivity Analysis
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    Chapter 7 Gibbs Sampling Subjectively Interesting Tiles
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    Chapter 8 Even Faster Exact k -Means Clustering
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    Chapter 9 Ising-Based Consensus Clustering on Specialized Hardware
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    Chapter 10 Transfer Learning by Learning Projections from Target to Source
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    Chapter 11 Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs
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    Chapter 12 Evaluation of CNN Performance in Semantically Relevant Latent Spaces
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    Chapter 13 Vouw: Geometric Pattern Mining Using the MDL Principle
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    Chapter 14 A Consensus Approach to Improve NMF Document Clustering
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    Chapter 15 Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams
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    Chapter 16 Widening for MDL-Based Retail Signature Discovery
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    Chapter 17 Addressing the Resolution Limit and the Field of View Limit in Community Mining
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    Chapter 18 Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics
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    Chapter 19 Adversarial Attacks Hidden in Plain Sight
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    Chapter 20 Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code
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    Chapter 21 Overlapping Hierarchical Clustering (OHC)
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    Chapter 22 Digital Footprints of International Migration on Twitter
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    Chapter 23 Percolation-Based Detection of Anomalous Subgraphs in Complex Networks
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    Chapter 24 A Late-Fusion Approach to Community Detection in Attributed Networks
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    Chapter 25 Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction
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    Chapter 26 A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization
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    Chapter 27 Actionable Subgroup Discovery and Urban Farm Optimization
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    Chapter 28 AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model
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    Chapter 29 Detection of Derivative Discontinuities in Observational Data
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    Chapter 30 Improving Prediction with Causal Probabilistic Variables
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    Chapter 31 DO-U-Net for Segmentation and Counting
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    Chapter 32 Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media
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    Chapter 33 Event Recognition Based on Classification of Generated Image Captions
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    Chapter 34 Human-to-AI Coach: Improving Human Inputs to AI Systems
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    Chapter 35 Aleatoric and Epistemic Uncertainty with Random Forests
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    Chapter 36 Master Your Metrics with Calibration
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    Chapter 37 Supervised Phrase-Boundary Embeddings
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    Chapter 38 Predicting Remaining Useful Life with Similarity-Based Priors
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    Chapter 39 Orometric Methods in Bounded Metric Data
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    Chapter 40 Interpretable Neuron Structuring with Graph Spectral Regularization
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    Chapter 41 Comparing the Preservation of Network Properties by Graph Embeddings
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    Chapter 42 Making Learners (More) Monotone
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    Chapter 43 Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions
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    Chapter 44 LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification
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    Chapter 45 Angle-Based Crowding Degree Estimation for Many-Objective Optimization
Attention for Chapter 2: Dual Sequential Variational Autoencoders for Fraud Detection
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Chapter title
Dual Sequential Variational Autoencoders for Fraud Detection
Chapter number 2
Book title
Advances in Intelligent Data Analysis XVIII
Published by
Springer, Cham, April 2020
DOI 10.1007/978-3-030-44584-3_2
Book ISBNs
978-3-03-044583-6, 978-3-03-044584-3
Authors

Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé, Alazizi, Ayman, Habrard, Amaury, Jacquenet, François, He-Guelton, Liyun, Oblé, Frédéric

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Student > Ph. D. Student 2 17%
Unknown 6 50%
Readers by discipline Count As %
Computer Science 5 42%
Engineering 1 8%
Unknown 6 50%