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Artificial Neural Networks and Machine Learning – ICANN 2017

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Cover of 'Artificial Neural Networks and Machine Learning – ICANN 2017'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Spiking Convolutional Deep Belief Networks
  3. Altmetric Badge
    Chapter 2 Convolutional Neural Network for Pixel-Wise Skyline Detection
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    Chapter 3 1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation
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    Chapter 4 Shortcut Convolutional Neural Networks for Classification of Gender and Texture
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    Chapter 5 Word Embedding Dropout and Variable-Length Convolution Window in Convolutional Neural Network for Sentiment Classification
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    Chapter 6 Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer
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    Chapter 7 An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation
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    Chapter 8 Parallel Implementation of a Bug Report Assignment Recommender Using Deep Learning
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    Chapter 9 A Deep Learning Approach to Detect Distracted Drivers Using a Mobile Phone
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    Chapter 10 A Multi-level Weighted Representation for Person Re-identification
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    Chapter 11 DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks
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    Chapter 12 Estimation of the Change of Agents Behavior Strategy Using State-Action History
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    Chapter 13 Generalising the Discriminative Restricted Boltzmann Machines
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    Chapter 14 Extracting M of N Rules from Restricted Boltzmann Machines
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    Chapter 15 Generalized Entropy Cost Function in Neural Networks
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    Chapter 16 Learning from Noisy Label Distributions
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    Chapter 17 Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization
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    Chapter 18 Link Enrichment for Diffusion-Based Graph Node Kernels
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    Chapter 19 Classless Association Using Neural Networks
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    Chapter 20 Shape from Shading by Model Inclusive Learning Method with Simultaneous Estimation of Parameters
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    Chapter 21 Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning
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    Chapter 22 Learning a Compositional Hierarchy of Disparity Descriptors for 3D Orientation Estimation in an Active Fixation Setting
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    Chapter 23 A Priori Reliability Prediction with Meta-Learning Based on Context Information
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    Chapter 24 Attention Aware Semi-supervised Framework for Sentiment Analysis
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    Chapter 25 Chinese Lexical Normalization Based on Information Extraction: An Experimental Study
  27. Altmetric Badge
    Chapter 26 Analysing Event Transitions to Discover Student Roles and Predict Grades in MOOCs
  28. Altmetric Badge
    Chapter 27 Applying Artificial Neural Networks on Two-Layer Semantic Trajectories for Predicting the Next Semantic Location
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    Chapter 28 Model-Aware Representation Learning for Categorical Data with Hierarchical Couplings
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    Chapter 29 Perceptron-Based Ensembles and Binary Decision Trees for Malware Detection
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    Chapter 30 Multi-column Deep Neural Network for Offline Arabic Handwriting Recognition
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    Chapter 31 Using LSTMs to Model the Java Programming Language
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    Chapter 32 Classification of Categorical Data in the Feature Space of Monotone DNFs
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    Chapter 33 DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders
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    Chapter 34 Mental Workload Classification Based on Semi-Supervised Extreme Learning Machine
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    Chapter 35 View-Weighted Multi-view K-means Clustering
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    Chapter 36 Indefinite Support Vector Regression
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    Chapter 37 Instance-Adaptive Attention Mechanism for Relation Classification
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    Chapter 38 ReForeSt: Random Forests in Apache Spark
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    Chapter 39 Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization
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    Chapter 40 Masked Conditional Neural Networks for Audio Classification
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    Chapter 41 A Feature Selection Approach Based on Information Theory for Classification Tasks
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    Chapter 42 Two-Level Neural Network for Multi-label Document Classification
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    Chapter 43 Ontology Alignment with Weightless Neural Networks
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    Chapter 44 Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction
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    Chapter 45 Combining Character-Level Representation for Relation Classification
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    Chapter 46 On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables
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    Chapter 47 PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data
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    Chapter 48 Modularity-Driven Kernel k-means for Community Detection
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    Chapter 49 Measuring Clustering Model Complexity
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    Chapter 50 GNMF Revisited: Joint Robust k-NN Graph and Reconstruction-Based Graph Regularization for Image Clustering
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    Chapter 51 Two Staged Fuzzy SVM Algorithm and Beta-Elliptic Model for Online Arabic Handwriting Recognition
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    Chapter 52 Evaluating the Compression Efficiency of the Filters in Convolutional Neural Networks
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    Chapter 53 Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity
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    Chapter 54 Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance
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    Chapter 55 Solar Power Forecasting Using Pattern Sequences
  57. Altmetric Badge
    Chapter 56 A New Methodology to Exploit Predictive Power in (Open, High, Low, Close) Data
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    Chapter 57 Recurrent Dynamical Projection for Time Series-Based Fraud Detection
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    Chapter 58 Transfer Information Energy: A Quantitative Causality Indicator Between Time Series
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    Chapter 59 Improving Our Understanding of the Behavior of Bees Through Anomaly Detection Techniques
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    Chapter 60 Applying Bidirectional Long Short-Term Memories (BLSTM) to Performance Data in Air Traffic Management for System Identification
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    Chapter 61 A Novel Image Tag Completion Method Based on Convolutional Neural Transformation
  63. Altmetric Badge
    Chapter 62 Reducing Unknown Unknowns with Guidance in Image Caption
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    Chapter 63 A Novel Method for Ship Detection and Classification on Remote Sensing Images
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    Chapter 64 Single Image Super-Resolution by Learned Double Sparsity Dictionaries Combining Bootstrapping Method
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    Chapter 65 Attention Focused Spatial Pyramid Pooling for Boxless Action Recognition in Still Images
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    Chapter 66 The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks
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    Chapter 67 Real-Time Face Detection Using Artificial Neural Networks
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    Chapter 68 On the Performance of Classic and Deep Neural Models in Image Recognition
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    Chapter 69 Winograd Algorithm for 3D Convolution Neural Networks
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    Chapter 70 Core Sampling Framework for Pixel Classification
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    Chapter 71 Biomedical Data Augmentation Using Generative Adversarial Neural Networks
  73. Altmetric Badge
    Chapter 72 Detection of Diabetic Retinopathy Based on a Convolutional Neural Network Using Retinal Fundus Images
  74. Altmetric Badge
    Chapter 73 A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations
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    Chapter 74 Parallel-Pathway Generator for Generative Adversarial Networks to Generate High-Resolution Natural Images
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    Chapter 75 Using Echo State Networks for Cryptography
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    Chapter 76 Two Alternative Criteria for a Split-Merge MCMC on Dirichlet Process Mixture Models
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    Chapter 77 FP-MRBP: Fine-grained Parallel MapReduce Back Propagation Algorithm
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    Chapter 78 IQNN: Training Quantized Neural Networks with Iterative Optimizations
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    Chapter 79 Compressing Neural Networks by Applying Frequent Item-Set Mining
  81. Altmetric Badge
    Chapter 80 Applying the Heavy-Tailed Kernel to the Gaussian Process Regression for Modeling Point of Sale Data
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    Chapter 81 Chaotic Associative Memory with Adaptive Scaling Factor
Attention for Chapter 31: Using LSTMs to Model the Java Programming Language
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Mentioned by

4 tweeters


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3 Mendeley
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Chapter title
Using LSTMs to Model the Java Programming Language
Chapter number 31
Book title
Artificial Neural Networks and Machine Learning – ICANN 2017
Published in
arXiv, September 2017
DOI 10.1007/978-3-319-68612-7_31
Book ISBNs
978-3-31-968611-0, 978-3-31-968612-7

Brendon Boldt

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 3 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 September 2019.
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So far Altmetric has tracked 562,204 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 50% of its peers.
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