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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

Overview of attention for book
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Social Influence Attentive Neural Network for Friend-Enhanced Recommendation
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    Chapter 2 Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation
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    Chapter 3 Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
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    Chapter 4 Learning a Contextual and Topological Representation of Areas-of-Interest for On-Demand Delivery Application
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    Chapter 5 Strategic and Crowd-Aware Itinerary Recommendation
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    Chapter 6 A Context-Aware Approach to Detect Abnormal Human Behaviors
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    Chapter 7 RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR
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    Chapter 8 Self-supervised Log Parsing
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    Chapter 9 Long-Term Pipeline Failure Prediction Using Nonparametric Survival Analysis
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    Chapter 10 Forecasting Error Pattern-Based Anomaly Detection in Multivariate Time Series
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    Chapter 11 Neural User Embedding from Browsing Events
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    Chapter 12 6VecLM: Language Modeling in Vector Space for IPv6 Target Generation
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    Chapter 13 Calibrating User Response Predictions in Online Advertising
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    Chapter 14 An Advert Creation System for 3D Product Placements
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    Chapter 15 Estimating Precisions for Multiple Binary Classifiers Under Limited Samples
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    Chapter 16 Automation of Leasing Vehicle Return Assessment Using Deep Learning Models
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    Chapter 17 A Route-Affecting Region Based Approach for Feature Extraction in Transportation Route Planning
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    Chapter 18 Real-Time Lane Configuration with Coordinated Reinforcement Learning
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    Chapter 19 A Multi-criteria System for Recommending Taxi Routes with an Advance Reservation
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    Chapter 20 Autonomous Driving Validation with Model-Based Dictionary Clustering
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    Chapter 21 Recognizing Complex Activities by a Temporal Causal Network-Based Model
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    Chapter 22 Unsupervised Human Pose Estimation on Depth Images
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    Chapter 23 Data Generation Process Modeling for Activity Recognition
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    Chapter 24 Mutual Information Measure for Image Segmentation Using Few Labels
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    Chapter 25 FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs
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    Chapter 26 Learning I/O Access Patterns to Improve Prefetching in SSDs
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    Chapter 27 Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors
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    Chapter 28 Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone
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    Chapter 29 On-Site Gamma-Hadron Separation with Deep Learning on FPGAs
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    Chapter 30 Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-Based Deep Models
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    Chapter 31 Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting
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    Chapter 32 Learning to Simulate on Sparse Trajectory Data
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    Chapter 33 Learning from Crowds via Joint Probabilistic Matrix Factorization and Clustering in Latent Space
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    Chapter 34 Prediction of Global Navigation Satellite System Positioning Errors with Guarantees
Attention for Chapter 25: FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs
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Chapter title
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs
Chapter number 25
Book title
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track
Published by
Springer, Cham, February 2021
DOI 10.1007/978-3-030-67667-4_25
Book ISBNs
978-3-03-067666-7, 978-3-03-067667-4
Authors

Simon Stieber, Niklas Schröter, Alexander Schiendorfer, Alwin Hoffmann, Wolfgang Reif, Stieber, Simon, Schröter, Niklas, Schiendorfer, Alexander, Hoffmann, Alwin, Reif, Wolfgang

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Ph. D. Student 4 22%
Student > Master 2 11%
Student > Doctoral Student 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 6 33%
Readers by discipline Count As %
Engineering 7 39%
Computer Science 2 11%
Environmental Science 1 6%
Materials Science 1 6%
Design 1 6%
Other 0 0%
Unknown 6 33%