Título :	28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings
Tipo de documento:	documento electrónico
Autores:	Tetko, Igor V., ; Kůrková, Věra, ; Karpov, Pavel, ; Theis, Fabian,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2019
Número de páginas:	XXXII, 852 p. 295 ilustraciones, 211 ilustraciones en color.
ISBN/ISSN/DL:	978-3-030-30493-5
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Visión por computador  Algoritmos  Red de computadoras  Inteligencia artificial  Informática  Matemáticas discretas  Redes de comunicación informática  Ciencia de los datos  Matemáticas discretas en informática
Índice Dewey:	006.3 Inteligencia artificial
Resumen:	Las actas establecidas LNCS 11727, 11728, 11729, 11730 y 11731 constituyen las actas de la 28.ª Conferencia Internacional sobre Redes Neuronales Artificiales, ICANN 2019, celebrada en Munich, Alemania, en septiembre de 2019. El total de 277 artículos completos y 43 artículos breves presentado en estas actas fue cuidadosamente revisado y seleccionado entre 494 presentaciones. Estaban organizados en 5 volúmenes centrados en la computación neuronal teórica; aprendizaje profundo; procesamiento de imágenes; texto y series temporales; y talleres y sesiones especiales. .
Nota de contenido:	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.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings [documento electrónico] / Tetko, Igor V., ; Kůrková, Věra, ; Karpov, Pavel, ; Theis, Fabian,  . -  1 ed.  . - [s.l.] : Springer, 2019 . - XXXII, 852 p. 295 ilustraciones, 211 ilustraciones en color.
ISBN : 978-3-030-30493-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Visión por computador  Algoritmos  Red de computadoras  Inteligencia artificial  Informática  Matemáticas discretas  Redes de comunicación informática  Ciencia de los datos  Matemáticas discretas en informática
Índice Dewey:	006.3 Inteligencia artificial
Resumen:	Las actas establecidas LNCS 11727, 11728, 11729, 11730 y 11731 constituyen las actas de la 28.ª Conferencia Internacional sobre Redes Neuronales Artificiales, ICANN 2019, celebrada en Munich, Alemania, en septiembre de 2019. El total de 277 artículos completos y 43 artículos breves presentado en estas actas fue cuidadosamente revisado y seleccionado entre 494 presentaciones. Estaban organizados en 5 volúmenes centrados en la computación neuronal teórica; aprendizaje profundo; procesamiento de imágenes; texto y series temporales; y talleres y sesiones especiales. .
Nota de contenido:	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.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i