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Trends and Applications in Knowledge Discovery and Data Mining

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Cover of 'Trends and Applications in Knowledge Discovery and Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Identification of Harvesting Year of Barley Seeds Using Near-Infrared Hyperspectral Imaging Combined with Convolutional Neural Network
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    Chapter 2 Plant Leaf Disease Segmentation Using Compressed UNet Architecture
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    Chapter 3 Hierarchical Topic Model for Tensor Data and Extraction of Weekly and Daily Patterns from Activity Monitor Records
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    Chapter 4 Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images
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    Chapter 5 Unsupervised Noise Reduction for Nanochannel Measurement Using Noise2Noise Deep Learning
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    Chapter 6 Classification Bandits: Classification Using Expected Rewards as Imperfect Discriminators
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    Chapter 7 Overview and Insights from Scope Detection of the Peer Review Articles Shared Tasks 2021
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    Chapter 8 Scholarly Text Classification with Sentence BERT and Entity Embeddings
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    Chapter 9 Domain Identification of Scientific Articles Using Transfer Learning and Ensembles
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    Chapter 10 Identifying Topics of Scientific Articles with BERT-Based Approaches and Topic Modeling
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    Chapter 11 Using Transformer Based Ensemble Learning to Classify Scientific Articles
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    Chapter 12 1st International Workshop on Data Assessment and Readiness for AI
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    Chapter 13 Cooperative Monitoring of Malicious Activity in Stock Exchanges
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    Chapter 14 Data-Debugging Through Interactive Visual Explanations
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    Chapter 15 Data Augmentation for Fairness in Personal Knowledge Base Population
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    Chapter 16 ROC Bot: Towards Designing Virtual Command Centre for Energy Management
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    Chapter 17 Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams
Attention for Chapter 10: Identifying Topics of Scientific Articles with BERT-Based Approaches and Topic Modeling
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Chapter title
Identifying Topics of Scientific Articles with BERT-Based Approaches and Topic Modeling
Chapter number 10
Book title
Trends and Applications in Knowledge Discovery and Data Mining
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-75015-2_10
Book ISBNs
978-3-03-075014-5, 978-3-03-075015-2
Authors

Glazkova, Anna

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 26%
Student > Ph. D. Student 3 13%
Researcher 2 9%
Lecturer > Senior Lecturer 1 4%
Student > Bachelor 1 4%
Other 3 13%
Unknown 7 30%
Readers by discipline Count As %
Computer Science 7 30%
Unspecified 6 26%
Linguistics 1 4%
Economics, Econometrics and Finance 1 4%
Engineering 1 4%
Other 0 0%
Unknown 7 30%