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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 6: Interdependence Model for Multi-label Classification
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Chapter title
Interdependence Model for Multi-label Classification
Chapter number 6
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_6
Book ISBNs
978-3-03-030489-8, 978-3-03-030490-4
Authors

Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima, Yoshimura, Kosuke, Iwase, Tomoaki, Baba, Yukino, Kashima, Hisashi

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%