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Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Ensemble Model for Winning a Chinese Machine Reading Comprehension Competition
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    Chapter 2 Dependent Multilevel Interaction Network for Natural Language Inference
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    Chapter 3 Learning to Explain Chinese Slang Words
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    Chapter 4 Attention-Based Improved BLSTM-CNN for Relation Classification
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    Chapter 5 An Improved Method of Applying a Machine Translation Model to a Chinese Word Segmentation Task
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    Chapter 6 Interdependence Model for Multi-label Classification
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    Chapter 7 Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents
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    Chapter 8 Collaborative Attention Network with Word and N-Gram Sequences Modeling for Sentiment Classification
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    Chapter 9 Targeted Sentiment Classification with Attentional Encoder Network
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    Chapter 10 Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering
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    Chapter 11 Imbalanced Sentiment Classification Enhanced with Discourse Marker
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    Chapter 12 Revising Attention with Position for Aspect-Level Sentiment Classification
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    Chapter 13 Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification
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    Chapter 14 Mid Roll Advertisement Placement Using Multi Modal Emotion Analysis
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    Chapter 15 DCAR: Deep Collaborative Autoencoder for Recommendation with Implicit Feedback
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    Chapter 16 Jointly Learning to Detect Emotions and Predict Facebook Reactions
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    Chapter 17 Discriminative Feature Learning for Speech Emotion Recognition
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    Chapter 18 A Judicial Sentencing Method Based on Fused Deep Neural Networks
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    Chapter 19 SECaps: A Sequence Enhanced Capsule Model for Charge Prediction
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    Chapter 20 Learning to Predict Charges for Judgment with Legal Graph
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    Chapter 21 A Recurrent Attention Network for Judgment Prediction
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    Chapter 22 Symmetrical Adversarial Training Network: A Novel Model for Text Generation
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    Chapter 23 A Novel Image Captioning Method Based on Generative Adversarial Networks
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    Chapter 24 Quality-Diversity Summarization with Unsupervised Autoencoders
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    Chapter 25 Conditional GANs for Image Captioning with Sentiments
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    Chapter 26 Neural Poetry: Learning to Generate Poems Using Syllables
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    Chapter 27 Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language
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    Chapter 28 RL Extraction of Syntax-Based Chunks for Sentence Compression
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    Chapter 29 Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks
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    Chapter 30 Neuro-Spectral Audio Synthesis: Exploiting Characteristics of the Discrete Fourier Transform in the Real-Time Simulation of Musical Instruments Using Parallel Neural Networks
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    Chapter 31 Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface
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    Chapter 32 Deep Recurrent Neural Networks with Nonlinear Masking Layers and Two-Level Estimation for Speech Separation
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    Chapter 33 Auto-Lag Networks for Real Valued Sequence to Sequence Prediction
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    Chapter 34 LSTM Prediction on Sudden Occurrence of Maintenance Operation of Air-Conditioners in Real-Time Pricing Adaptive Control
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    Chapter 35 Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting
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    Chapter 36 Timage – A Robust Time Series Classification Pipeline
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    Chapter 37 Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes
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    Chapter 38 Multi-task Learning Method for Hierarchical Time Series Forecasting
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    Chapter 39 Demand-Prediction Architecture for Distribution Businesses Based on Multiple RNNs with Alternative Weight Update
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    Chapter 40 A Study of Deep Learning for Network Traffic Data Forecasting
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    Chapter 41 Composite Quantile Regression Long Short-Term Memory Network
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    Chapter 42 Short-Term Temperature Forecasting on a Several Hours Horizon
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    Chapter 43 Using Long Short-Term Memory for Wavefront Prediction in Adaptive Optics
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    Chapter 44 Incorporating Adaptive RNN-Based Action Inference and Sensory Perception
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    Chapter 45 Quality of Prediction of Daily Relativistic Electrons Flux at Geostationary Orbit by Machine Learning Methods
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    Chapter 46 Soft Subspace Growing Neural Gas for Data Stream Clustering
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    Chapter 47 Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks
  49. Altmetric Badge
    Chapter 48 Merging DBSCAN and Density Peak for Robust Clustering
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    Chapter 49 Market Basket Analysis Using Boltzmann Machines
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    Chapter 50 Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data
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    Chapter 51 Improving Deep Image Clustering with Spatial Transformer Layers
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    Chapter 52 Collaborative Non-negative Matrix Factorization
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    Chapter 53 Cosine Similarity Drift Detector
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    Chapter 54 Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance
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    Chapter 55 Robust Gait Authentication Using Autoencoder and Decision Tree
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    Chapter 56 MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
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    Chapter 57 Intrusion Detection via Wide and Deep Model
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    Chapter 58 Towards Attention Based Vulnerability Discovery Using Source Code Representation
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    Chapter 59 Convolutional Recurrent Neural Networks for Computer Network Analysis
Attention for Chapter 3: Learning to Explain Chinese Slang Words
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Chapter title
Learning to Explain Chinese Slang Words
Chapter number 3
Book title
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-30490-4_3
Book ISBNs
978-3-03-030489-8, 978-3-03-030490-4
Authors

Chuanrun Yi, Dong Wang, Chunyu He, Ying Sha, Yi, Chuanrun, Wang, Dong, He, Chunyu, Sha, Ying

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Lecturer > Senior Lecturer 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Social Sciences 2 33%
Linguistics 1 17%
Neuroscience 1 17%
Unknown 2 33%