Artificial Neural Networks and Machine Learning ICANN 2019: Workshop and Special Sessions: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 1719, 2019, Proceedings 2019 ed. [Pehme köide]

A Reservoir Computing Framework for Continuous Gesture Recognition.-
Using conceptors to transfer between long-term and short-term Memory.-
Bistable Perception in Conceptor Networks.- Continual Learning exploiting
Structure of Fractal Reservoir Computing.- Continuous Blood Pressure
Estimation through Optimized Echo State Networks.- Reservoir Topology in Deep
Echo State Networks.- Multiple Pattern Generations and Chaotic Itinerant
dynamics in Reservoir Computing.- Echo State Network with Adversarial
Training.- Hyper-spherical reservoirs for Echo State Networks.- Echo State
vs. LSTM Networks for Word Sense Disambiguation.- Echo State Networks for
Named Entity Recognition.- Efficient Cross-Validation of Echo State
Networks.- Echo State Property of Neuronal Cell Cultures.- Overview on the
PHRESCO project:  PHotonic REServoir COmputing.- Classification of Human
Actions in Videos with a Large-Scale Photonic Reservoir Computer.- A
power-effcient architecture for on-chip reservoir computing.- Time Series
Processing with VCSEL-based Reservoir Computer.- Optoelectronic reservoir
computing using a mixed digital-analog hardware implementation.- Comparison
of Feature Extraction Techniques for Handwritten Digit Recognition with a
Photonic Reservoir Computer.- Polarization dynamics of VCSELs improves
reservoir computing performance..- Reservoir-size dependent learning in
analogue neural networks.- Transferring reservoir computing: formulation and
application to  fluid physics.- Investigation of EEG-based Graph-theoretic
Analysis for Automatic Diagnosis of Alcohol Use Disorder .- EchoQuan-Net:
Direct Quantification of Echo Sequence for Left Ventricle Multidimensional
Indices via Global-Local Learning, Geometric Adjustment, and multi-target
relation learning.- An attention-based ID-CNNs-CRF model for named entity
recognition on clinical electronic medical records.- Deep Text Prior: Weakly
Supervised Learning for Assertion Classification.- Inter-region
SynchronizationAnalysis based on Heterogeneous Matrix Similarity
Measurement.- Bi-ResNet: Fully automated classification of unregistered
contralateral mammograms.- Pattern Recognition for COPD Diagnostics Using an
Artificial Neural Network and Its Potential Integration on Hardware-based
Neuromorphic Platforms.- Quantifying Structural Heterogeneity of Healthy and
Cancerous Mitochondria using a Combined Segmentation and Classification
USK-Net.- Breast Cancer Classification on Histopathological Images Affected
by Data Imbalance Using Active Learning and Deep Convolutional Neural
Network.- Measuring the Angle of Hallux Valgus Using Segmentation of Bones on
X-ray Images.- Human Body Posture Recognition Using Wearable Devices.-
Collaborative Denoising Autoencoder for High Glycated Haemoglobin
Prediction.- On Chow-Liu forest based regularization of deep belief
networks.- Prototypes within Minimum Enclosing Balls.- Exploring Local
Transformation Shared Weights in Convolutional Neural Networks.- The Good,
theBad and the Ugly: augmenting a black-box model with expert knowledge.-
Hierarchical Attentional Hybrid Neural Networks for Document Classification.-
Reinforcement learning informed by optimal control.- Explainable Anomaly
Detection via Feature-Based Localization.- Bayesian Automatic Relevance
Determination for Feature selection in Credit Default Modelling.- TSXplain:
Demystification of DNN Decisions for Time-Series using Natural Language and
Statistical Features.- DeepMimic: Mentor-Student Unlabeled Data Based
Training.- Evaluation of tag clusterings for user profiling in movie
recommendation.- A Sparse Filtering-based Approach for Non-Blind Deep Image
Denoising.- Hybrid Attention Driven Text-to-Image Synthesis via Generative
Adversarial Networks.- Hypernetwork functional image representation.-
Instance-based Segmentation for Boundary Detection of Neuropathic Ulcers
through Mask-RCNN.- Capsule Networks for attention under occlusion.- IP-GAN:
Learning Identity and Pose Disentanglementin Generative Adversarial
Networks.- Hypernetwork Knowledge Graph Embeddings.- Signed Graph Attention
Networks.- Graph Classification with 2D Convolutional Neural Networks.-
Community Detection via Joint Graph Convolutional Network Embedding in
Attribute Network.- Temporal Coding of Neural Stimuli.- Heterogeneous
Information Network Embedding with Meta-path-based Graph Attention Networks.-
Dual-FOFE-net Neural Models for Entity Linking with PageRank.-
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition.-
Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes.-
CNN-Based Semantic Change Detection in Satellite Imagery.- Axiomatic Kernels
on Graphs for Support Vector Machines.- Multitask Learning on Graph Neural
Networks: Learning Multiple Graph Centrality Measures with a Unified
Network.- Neural Network Guided Tree-Search Policies for Synthesis Planning
.- LSTM and 1-D Convolutional Neural Networks for predictive monitoring of
the anaerobic digestion process.- Progressive Docking - a Deep Learning Based
Approach for Accelerated Virtual Screening.- Predictive Power of Time-series
Based Machine Learning Models for DMPK Measurements in Drug Discovery.-
Improving Deep Generative Models with Randomized SMILES.- Attention and Edge
Memory Convolution for Bioactivity Prediction.- Application of materials
informatics tools to the analysis of combinatorial libraries of all
metal-oxides photovoltaic cells.- Analysis and Modelling of False Positives
in GPCR Assays.- Characterization of Quantum Derived Electronic Properties of
Molecules: A Computational Intelligence Approach.- Using an Autoencoder for
Dimensionality Reduction in Quantum Dynamics.- Conformational Oversampling as
Data Augmentation for Molecules.- Prediction of the Atomization Energy of
Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian
Regularized Neural Networks.- Deep Neural Network Architecture for
Drug-Target Interaction Prediction.- Mol-CycleGAN - a generative model for
molecular optimization.- A TRANSFORMER MODEL FOR RETROSYNTHESIS.-
Augmentation is What You Need!.- Diversify Libraries Using Generative
Topographic Mapping.- Detection of Frequent-Hitters across various HTS
Technologies.- Message Passing Neural Networks scoring functions for
structure-based drug discovery.