Título :	28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV
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:	XXX, 761 p. 339 ilustraciones, 198 ilustraciones en color.
ISBN/ISSN/DL:	978-3-030-30490-4
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Inteligencia artificial  Visión por computador  Ingeniería Informática  Red de computadoras  Algoritmos  Protección de datos  Ingeniería Informática y Redes  Redes de comunicación informática  Seguridad de datos e información
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:	An ensemble model for winning a Chinese machine reading comprehension competition -- Dependent Multilevel Interaction Network for Natural Language Inference -- Learning to Explain Chinese Slang Words -- Attention-Based Improved BLSTM-CNN for Relation Classification -- An Improved Method of Applying a Machine Translation Model to a Chinese Word Segmentation Task -- Interdependence Model for Multi-label Classification -- Combining deep learning and (structural) feature-based classification methods for copyright-protected PDF documents -- Collaborative Attention Network with Word and N-gram Sequences Modeling for Sentiment Classification -- Targeted Sentiment Classification with Attentional Encoder Network -- Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering -- Imbalanced Sentiment Classification Enhanced with Discourse Marker -- Revising Attention with Position for Aspect-level Sentiment Classification.-Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification -- Mid Roll Advertisement Placement using Multi Modal Emotion Analysis -- DCAR: Deep Collaborative Autoencoder for Recommendation with Implicit Feedback -- Jointly Learning to Detect Emotions and Predict Facebook Reactions -- Discriminative Feature Learning for Speech Emotion Recognition -- A Judicial Sentencing Method Based on Fused Deep Neural Networks -- SECaps: A Sequence Enhanced Capsule Model for Charge Prediction -- Learning to Predict Charges for Judgment with Legal Graph -- A Recurrent Attention Network for Judgment Prediction -- Symmetrical Adversarial Training Nets: A Novel Model For Text Generation -- A Novel Image Captioning Method based on Generative Adversarial Networks -- Quality-Diversity Summarization with Unsupervised Autoencoders -- Conditional GANs for Image Captioning with Sentiments -- Neural Poetry: Learning to Generate Poems using Syllables -- Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language -- RL extraction of syntax-based chunks for sentence compression -- Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks -- Neuro-Spectral Audio Synthesis: Exploiting characteristics of the Discrete Fourier Transform in the real-time simulation of musical instruments using parallel Neural Networks -- Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface -- Deep Recurrent Neural Networks with Nonlinear Masking Layers and Two-Level Estimation for Speech Separation -- Auto-Lag Networks for Real Valued Sequence to Sequence Prediction -- LSTM Prediction on Sudden Occurrence of Maintenance Operation of Air-conditioners in Real-time Pricing Adaptive Control -- Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-Step-Ahead Solar Power Forecasting -- Timage – A Robust Time Series Classification Pipeline -- Prediction of the Next Sensor Event and its Time of Occurrence in Smart Homes -- Multi-task Learning Method for Hierarchical Time Series Forecasting -- Demand-prediction architecture for distribution businesses based on multiple RNNs with alternative weight update -- A Study of Deep Learning for Network Traffic Data Forecasting -- Composite Quantile Regression Long Short-Term Memory Network -- Short-Term Temperature Forecasting on a Several Hours Horizon -- Using Long Short-Term Memory for Wavefront Prediction in Adaptive Optics -- Incorporating Adaptive RNN-based Action Inference and Sensory Perception -- Quality of Prediction of Daily Relativistic Electrons Flux at Geostationary Orbit by Machine Learning Methods -- Soft Subspace Growing Neural Gas for DataStream Clustering -- Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks -- Merging DBSCAN and Density Peak for Robust Clustering -- Market basket analysis using Boltzmann machines -- Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data -- Improving Deep Image Clustering With Spatial Transformer Layers -- Collaborative Non-negative Matrix Factorization -- Cosine Similarity Drift Detector -- Unsupervised anomaly detection using optimal transport for predictive maintenance -- Robust Gait Authentication Using Autoencoder and Decision Tree -- MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks -- Intrusion Detection via Wide & Deep Model -- Towards Attention based Vulnerability Discovery using Source Code Representation -- Convolutional Recurrent Neural Networks for Computer Network Analysis.
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, Part IV [documento electrónico] / Tetko, Igor V., ; Kůrková, Věra, ; Karpov, Pavel, ; Theis, Fabian,  . -  1 ed.  . - [s.l.] : Springer, 2019 . - XXX, 761 p. 339 ilustraciones, 198 ilustraciones en color.
ISBN : 978-3-030-30490-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Inteligencia artificial  Visión por computador  Ingeniería Informática  Red de computadoras  Algoritmos  Protección de datos  Ingeniería Informática y Redes  Redes de comunicación informática  Seguridad de datos e información
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:	An ensemble model for winning a Chinese machine reading comprehension competition -- Dependent Multilevel Interaction Network for Natural Language Inference -- Learning to Explain Chinese Slang Words -- Attention-Based Improved BLSTM-CNN for Relation Classification -- An Improved Method of Applying a Machine Translation Model to a Chinese Word Segmentation Task -- Interdependence Model for Multi-label Classification -- Combining deep learning and (structural) feature-based classification methods for copyright-protected PDF documents -- Collaborative Attention Network with Word and N-gram Sequences Modeling for Sentiment Classification -- Targeted Sentiment Classification with Attentional Encoder Network -- Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering -- Imbalanced Sentiment Classification Enhanced with Discourse Marker -- Revising Attention with Position for Aspect-level Sentiment Classification.-Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification -- Mid Roll Advertisement Placement using Multi Modal Emotion Analysis -- DCAR: Deep Collaborative Autoencoder for Recommendation with Implicit Feedback -- Jointly Learning to Detect Emotions and Predict Facebook Reactions -- Discriminative Feature Learning for Speech Emotion Recognition -- A Judicial Sentencing Method Based on Fused Deep Neural Networks -- SECaps: A Sequence Enhanced Capsule Model for Charge Prediction -- Learning to Predict Charges for Judgment with Legal Graph -- A Recurrent Attention Network for Judgment Prediction -- Symmetrical Adversarial Training Nets: A Novel Model For Text Generation -- A Novel Image Captioning Method based on Generative Adversarial Networks -- Quality-Diversity Summarization with Unsupervised Autoencoders -- Conditional GANs for Image Captioning with Sentiments -- Neural Poetry: Learning to Generate Poems using Syllables -- Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language -- RL extraction of syntax-based chunks for sentence compression -- Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks -- Neuro-Spectral Audio Synthesis: Exploiting characteristics of the Discrete Fourier Transform in the real-time simulation of musical instruments using parallel Neural Networks -- Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface -- Deep Recurrent Neural Networks with Nonlinear Masking Layers and Two-Level Estimation for Speech Separation -- Auto-Lag Networks for Real Valued Sequence to Sequence Prediction -- LSTM Prediction on Sudden Occurrence of Maintenance Operation of Air-conditioners in Real-time Pricing Adaptive Control -- Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-Step-Ahead Solar Power Forecasting -- Timage – A Robust Time Series Classification Pipeline -- Prediction of the Next Sensor Event and its Time of Occurrence in Smart Homes -- Multi-task Learning Method for Hierarchical Time Series Forecasting -- Demand-prediction architecture for distribution businesses based on multiple RNNs with alternative weight update -- A Study of Deep Learning for Network Traffic Data Forecasting -- Composite Quantile Regression Long Short-Term Memory Network -- Short-Term Temperature Forecasting on a Several Hours Horizon -- Using Long Short-Term Memory for Wavefront Prediction in Adaptive Optics -- Incorporating Adaptive RNN-based Action Inference and Sensory Perception -- Quality of Prediction of Daily Relativistic Electrons Flux at Geostationary Orbit by Machine Learning Methods -- Soft Subspace Growing Neural Gas for DataStream Clustering -- Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks -- Merging DBSCAN and Density Peak for Robust Clustering -- Market basket analysis using Boltzmann machines -- Dimensionality Reduction for Clustering and Cluster Tracking of Cytometry Data -- Improving Deep Image Clustering With Spatial Transformer Layers -- Collaborative Non-negative Matrix Factorization -- Cosine Similarity Drift Detector -- Unsupervised anomaly detection using optimal transport for predictive maintenance -- Robust Gait Authentication Using Autoencoder and Decision Tree -- MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks -- Intrusion Detection via Wide & Deep Model -- Towards Attention based Vulnerability Discovery using Source Code Representation -- Convolutional Recurrent Neural Networks for Computer Network Analysis.
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