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Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Reservoir Computing Framework for Continuous Gesture Recognition
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    Chapter 2 Using Conceptors to Transfer Between Long-Term and Short-Term Memory
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    Chapter 3 Bistable Perception in Conceptor Networks
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    Chapter 4 Continual Learning Exploiting Structure of Fractal Reservoir Computing
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    Chapter 5 Continuous Blood Pressure Estimation Through Optimized Echo State Networks
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    Chapter 6 Reservoir Topology in Deep Echo State Networks
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    Chapter 7 Multiple Pattern Generations and Chaotic Itinerant Dynamics in Reservoir Computing
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    Chapter 8 Echo State Network with Adversarial Training
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    Chapter 9 Hyper-spherical Reservoirs for Echo State Networks
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    Chapter 10 Echo State vs. LSTM Networks for Word Sense Disambiguation
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    Chapter 11 Echo State Networks for Named Entity Recognition
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    Chapter 12 Efficient Cross-Validation of Echo State Networks
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    Chapter 13 Echo State Property of Neuronal Cell Cultures
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    Chapter 14 Overview on the PHRESCO Project: PHotonic REServoir COmputing
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    Chapter 15 Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer
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    Chapter 16 A Power-Efficient Architecture for On-Chip Reservoir Computing
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    Chapter 17 Time Series Processing with VCSEL-Based Reservoir Computer
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    Chapter 18 Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation
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    Chapter 19 Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer
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    Chapter 20 Polarization Dynamics of VCSELs Improves Reservoir Computing Performance
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    Chapter 21 Reservoir-Size Dependent Learning in Analogue Neural Networks
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    Chapter 22 Transferring Reservoir Computing: Formulation and Application to Fluid Physics
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    Chapter 23 Investigation of EEG-Based Graph-Theoretic Analysis for Automatic Diagnosis of Alcohol Use Disorder
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    Chapter 24 EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning
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    Chapter 25 An Attention-Based ID-CNNs-CRF Model for Named Entity Recognition on Clinical Electronic Medical Records
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    Chapter 26 Deep Text Prior: Weakly Supervised Learning for Assertion Classification
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    Chapter 27 Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement
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    Chapter 28 Bi-ResNet: Fully Automated Classification of Unregistered Contralateral Mammograms
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    Chapter 29 Pattern Recognition for COPD Diagnostics Using an Artificial Neural Network and Its Potential Integration on Hardware-Based Neuromorphic Platforms
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    Chapter 30 Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net
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    Chapter 31 Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network
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    Chapter 32 Measuring the Angle of Hallux Valgus Using Segmentation of Bones on X-Ray Images
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    Chapter 33 Human Body Posture Recognition Using Wearable Devices
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    Chapter 34 Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction
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    Chapter 35 On Chow-Liu Forest Based Regularization of Deep Belief Networks
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    Chapter 36 Prototypes Within Minimum Enclosing Balls
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    Chapter 37 Exploring Local Transformation Shared Weights in Convolutional Neural Networks
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    Chapter 38 The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge
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    Chapter 39 Hierarchical Attentional Hybrid Neural Networks for Document Classification
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    Chapter 40 Reinforcement Learning Informed by Optimal Control
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    Chapter 41 Explainable Anomaly Detection via Feature-Based Localization
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    Chapter 42 Bayesian Automatic Relevance Determination for Feature Selection in Credit Default Modelling
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    Chapter 43 TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features
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    Chapter 44 DeepMimic: Mentor-Student Unlabeled Data Based Training
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    Chapter 45 Evaluation of Tag Clusterings for User Profiling in Movie Recommendation
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    Chapter 46 A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising
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    Chapter 47 Hybrid Attention Driven Text-to-Image Synthesis via Generative Adversarial Networks
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    Chapter 48 Hypernetwork Functional Image Representation
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    Chapter 49 Instance-Based Segmentation for Boundary Detection of Neuropathic Ulcers Through Mask-RCNN
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    Chapter 50 Capsule Networks for Attention Under Occlusion
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    Chapter 51 IP-GAN: Learning Identity and Pose Disentanglement in Generative Adversarial Networks
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    Chapter 52 Hypernetwork Knowledge Graph Embeddings
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    Chapter 53 Signed Graph Attention Networks
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    Chapter 54 Graph Classification with 2D Convolutional Neural Networks
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    Chapter 55 Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network
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    Chapter 56 Temporal Coding of Neural Stimuli
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    Chapter 57 Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks
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    Chapter 58 Dual-FOFE-net Neural Models for Entity Linking with PageRank
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    Chapter 59 Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition
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    Chapter 60 Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes
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    Chapter 61 CNN-Based Semantic Change Detection in Satellite Imagery
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    Chapter 62 Axiomatic Kernels on Graphs for Support Vector Machines
  64. Altmetric Badge
    Chapter 63 Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
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    Chapter 64 Neural Network Guided Tree-Search Policies for Synthesis Planning
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    Chapter 65 LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process
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    Chapter 66 Progressive Docking - Deep Learning Based Approach for Accelerated Virtual Screening
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    Chapter 67 Predictive Power of Time-Series Based Machine Learning Models for DMPK Measurements in Drug Discovery
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    Chapter 68 Improving Deep Generative Models with Randomized SMILES
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    Chapter 69 Attention and Edge Memory Convolution for Bioactivity Prediction
  71. Altmetric Badge
    Chapter 70 Application of Materials Informatics Tools to the Analysis of Combinatorial Libraries of All Metal-Oxides Photovoltaic Cells
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    Chapter 71 Analysis and Modelling of False Positives in GPCR Assays
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    Chapter 72 Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach
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    Chapter 73 Using an Autoencoder for Dimensionality Reduction in Quantum Dynamics
  75. Altmetric Badge
    Chapter 74 Conformational Oversampling as Data Augmentation for Molecules
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    Chapter 75 Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks
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    Chapter 76 Deep Neural Network Architecture for Drug-Target Interaction Prediction
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    Chapter 77 Mol-CycleGAN - A Generative Model for Molecular Optimization
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    Chapter 78 A Transformer Model for Retrosynthesis
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    Chapter 79 Augmentation Is What You Need!
Attention for Chapter 64: Neural Network Guided Tree-Search Policies for Synthesis Planning
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Chapter title
Neural Network Guided Tree-Search Policies for Synthesis Planning
Chapter number 64
Book title
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-30493-5_64
Book ISBNs
978-3-03-030492-8, 978-3-03-030493-5
Authors

Amol Thakkar, Esben Jannik Bjerrum, Ola Engkvist, Jean-Louis Reymond, Thakkar, Amol, Bjerrum, Esben Jannik, Engkvist, Ola, Reymond, Jean-Louis

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Researcher 3 30%
Student > Master 1 10%
Unknown 3 30%
Readers by discipline Count As %
Chemistry 2 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Computer Science 1 10%
Agricultural and Biological Sciences 1 10%
Social Sciences 1 10%
Other 1 10%
Unknown 3 30%