Artificial Neural Networks and Machine Learning – ICANN 2018

Table of Contents

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   Book Overview
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   Chapter 1 Fast CNN Pruning via Redundancy-Aware Training
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   Chapter 2 Two-Stream Convolutional Neural Network for Multimodal Matching
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   Chapter 3 Kernel Graph Convolutional Neural Networks
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   Chapter 4 A Histogram of Oriented Gradients for Broken Bars Diagnosis in Squirrel Cage Induction Motors
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   Chapter 5 Learning Game by Profit Sharing Using Convolutional Neural Network
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   Chapter 6 Detection of Fingerprint Alterations Using Deep Convolutional Neural Networks
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   Chapter 7 A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations
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   Chapter 8 Neural Networks for Multi-lingual Multi-label Document Classification
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    Chapter 9 Multi-region Ensemble Convolutional Neural Network for Facial Expression Recognition
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    Chapter 10 Further Advantages of Data Augmentation on Convolutional Neural Networks
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    Chapter 11 DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug–Target Interactions
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    Chapter 12 Hierarchical Convolution Neural Network for Emotion Cause Detection on Microblogs
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    Chapter 13 Direct Training of Dynamic Observation Noise with UMarineNet
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    Chapter 14 Convolutional Soft Decision Trees
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    Chapter 15 A Multi-level Attention Model for Text Matching
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    Chapter 16 Attention Enhanced Chinese Word Embeddings
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    Chapter 17 Balancing Convolutional Neural Networks Pipeline in FPGAs
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    Chapter 18 Generating Diverse and Meaningful Captions
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    Chapter 19 Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification
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    Chapter 20 Balanced Cortical Microcircuitry-Based Network for Working Memory
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    Chapter 21 Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine
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    Chapter 22 A Supervised Multi-spike Learning Algorithm for Recurrent Spiking Neural Networks
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    Chapter 23 Artwork Retrieval Based on Similarity of Touch Using Convolutional Neural Network
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    Chapter 24 Microsaccades for Neuromorphic Stereo Vision
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    Chapter 25 A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement
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    Chapter 26 Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks
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    Chapter 27 Design of Spiking Rate Coded Logic Gates for C. elegans Inspired Contour Tracking
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    Chapter 28 Gating Sensory Noise in a Spiking Subtractive LSTM
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    Chapter 29 Spiking Signals in FOC Control Drive
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    Chapter 30 Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input
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    Chapter 31 Spiking Neural Networks Evolved to Perform Multiplicative Operations
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    Chapter 32 Very Small Spiking Neural Networks Evolved for Temporal Pattern Recognition and Robust to Perturbed Neuronal Parameters
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    Chapter 33 Machine Learning to Predict Toxicity of Compounds
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    Chapter 34 Energy-Based Clustering for Pruning Heterogeneous Ensembles
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    Chapter 35 Real-Time Hand Gesture Recognition Based on Electromyographic Signals and Artificial Neural Networks
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    Chapter 36 Fast Communication Structure for Asynchronous Distributed ADMM Under Unbalance Process Arrival Pattern
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    Chapter 37 Improved Personalized Rankings Using Implicit Feedback
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    Chapter 38 Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
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    Chapter 39 Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges
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    Chapter 40 Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
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    Chapter 41 GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
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    Chapter 42 Generation of Reference Trajectories for Safe Trajectory Planning
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    Chapter 43 Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data
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    Chapter 44 Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning
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    Chapter 45 Mitigating Concept Drift via Rejection
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    Chapter 46 Strategies to Enhance Pattern Recognition in Neural Networks Based on the Insect Olfactory System
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    Chapter 47 HyperNets and Their Application to Learning Spatial Transformations
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    Chapter 48 Catastrophic Forgetting: Still a Problem for DNNs
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    Chapter 49 Queue-Based Resampling for Online Class Imbalance Learning
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    Chapter 50 Learning Simplified Decision Boundaries from Trapezoidal Data Streams
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    Chapter 51 Improving Active Learning by Avoiding Ambiguous Samples
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    Chapter 52 Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks
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    Chapter 53 Using Bag-of-Little Bootstraps for Efficient Ensemble Learning
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    Chapter 54 Learning Preferences for Large Scale Multi-label Problems
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    Chapter 55 Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework
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    Chapter 56 Online Approximation of Prediction Intervals Using Artificial Neural Networks
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    Chapter 57 Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning
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    Chapter 58 Communication Style - An Analysis from the Perspective of Automated Learning
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    Chapter 59 Directional Data Analysis for Shape Classification
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    Chapter 60 Semantic Space Transformations for Cross-Lingual Document Classification
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    Chapter 61 Automatic Treatment of Bird Audios by Means of String Compression Applied to Sound Clustering in Xeno-Canto Database
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    Chapter 62 FROD: Fast and Robust Distance-Based Outlier Detection with Active-Inliers-Patterns in Data Streams
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    Chapter 63 Unified Framework for Joint Attribute Classification and Person Re-identification
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    Chapter 64 Associative Graph Data Structures Used for Acceleration of K Nearest Neighbor Classifiers
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    Chapter 65 A Game-Theoretic Framework for Interpretable Preference and Feature Learning
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    Chapter 66 A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection
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    Chapter 67 Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation
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    Chapter 68 Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data
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    Chapter 69 Input-Dependably Feature-Map Pruning
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    Chapter 70 Thermal Comfort Index Estimation and Parameter Selection Using Fuzzy Convolutional Neural Network
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    Chapter 71 Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece
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    Chapter 72 Fuzzy Implications Generating from Fuzzy Negations
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    Chapter 73 Improving Ensemble Learning Performance with Complementary Neural Networks for Facial Expression Recognition
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    Chapter 74 Automatic Beautification for Group-Photo Facial Expressions Using Novel Bayesian GANs
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    Chapter 75 Fast and Accurate Affect Prediction Using a Hierarchy of Random Forests
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    Chapter 76 Gender-Aware CNN-BLSTM for Speech Emotion Recognition
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    Chapter 77 Semi-supervised Model for Emotion Recognition in Speech
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    Chapter 78 Real-Time Embedded Intelligence System: Emotion Recognition on Raspberry Pi with Intel NCS