| TÃtulo : |
13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part II |
| Tipo de documento: |
documento electrónico |
| Autores: |
Li, Gang, ; Shen, Heng Tao, ; Yuan, Ye, ; Wang, Xiaoyang, ; Liu, Huawen, ; Zhao, Xiang, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XX, 484 p. 163 ilustraciones, 123 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-55393-7 |
| 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 Software de la aplicacion Ciencias sociales Procesamiento de datos Gestión de base de datos TecnologÃa de la información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento MinerÃa de datos y descubrimiento de conocimientos Aplicación Informática en Tratamiento de Datos Administrativos |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este conjunto de dos volúmenes de LNAI 12274 y LNAI 12275 constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2020, celebrada en Hangzhou, China, en agosto de 2020.* Los 58 artÃculos completos revisados ​​y los 27 artÃculos breves Los artÃculos fueron cuidadosamente revisados ​​y seleccionados entre 291 presentaciones. Los artÃculos del primer volumen están organizados en las siguientes secciones temáticas: gráfico de conocimiento; representación del conocimiento; gestión del conocimiento para la educación; sistemas basados ​​en el conocimiento; y procesamiento y minerÃa de datos. Los artÃculos del segundo volumen están organizados en las siguientes secciones temáticas: aprendizaje automático; algoritmos y sistemas de recomendación; análisis y gestión del conocimiento social; minerÃa de textos y análisis de documentos; y aprendizaje profundo. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. |
| Nota de contenido: |
Machine Learning -- MA-TREX: Multi-agent Trajectory-ranked Reward Extrapolation via Inverse Reinforcement Learning -- An Incremental Learning Network Model based on Random Sample Distribution Fitting -- Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition System -- Improving Policy Generalization for Teacher-Student Reinforcement Learning -- Recommendation Algorithms and Systems -- Towards effective top-k location recommendation for business facility placement -- Pairwise-based Hierarchical Gating Networks for Sequential Recommendation -- Time-aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation -- A Time Interval Aware Approach for Session-based Social Recommendation -- AutoIDL: Automated Imbalanced Data Learning via Collaborative Filtering -- Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation -- Robust Sequence Embedding for Recommendation -- Deep Generative Recommendation with Maximizing Reciprocal Rank -- Spatio-Temporal Attentive Network for Session-based Recommendation -- Social Knowledge Analysis and Management -- Category-level Adversarial Network for Cross-Domain Sentiment Classification -- Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcement Learning -- CIFEF: Combining implicit and explicit features for friendship inference in location-based social networks -- A Knowledge Enhanced Ensemble Learning Model for Mental Disorder Detection on Social Media -- Constrained Viral Marketing in Social Networks -- A Multi-source Self-adaptive Transfer Learning Model for Mining Social Links -- Text Mining and Document Analysis -- Multi-hop Syntactic Graph Convolutional Networks for Aspect-based Sentiment Classification -- A Matching-Integration-Verification Model for Multiple-Choice Reading Comprehension -- How to interact and change? Abstractive Dialogue Summarization with Dialogue Act Weight and Topic Change Info -- Chinese Text Classification via Bidirectional Lattice LSTM -- MG-BERT: A Multi-Glosses BERT Model for Word Sense Disambiguation -- Top Personalized Reviews Set Selection Based on Subject Aspect Modeling -- SCX-SD: Semi-Supervised Method for Contextual Sarcasm Detection -- End-to-End Multi-task Learning for Allusion Detection in Ancient Chinese Poems -- Defense of Word-level Adversarial Attacks via Random Substitution Encoding -- Document-Improved Hierarchical Modular Attention for Event Detection -- Fine-tuned Transformer Model for Sentiment Analysis -- An Algorithm for Emotion Evaluation and Analysis Based on CBOW -- Predicting Crowdsourcing Worker Performance with Knowledge Tracing -- Deep Learning -- Watermarking neural network with compensation mechanism -- Information Diffusion Prediction with Personalized Graph Neural Networks -- Relationship-Aware Hard Negative Generation in Deep Metric Learning -- Striking a Balance in Unsupervised Fine-grained Domain Adaptation Using Adversarial Learning -- Improved Performance of GANs via Integrating Gradient Penalty with Spectral Normalization -- Evidential Deep Neural Networks for Uncertain Data Classification -- GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction -- Depthwise Separable Convolutional Neural Network for Confidential Information Analysis -- The Short-Term Exit Traffic Prediction of A Toll Station Based on LSTM -- Long and Short Term Risk Control for Online Portfolio Selection. |
| En lÃnea: |
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 |
13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part II [documento electrónico] / Li, Gang, ; Shen, Heng Tao, ; Yuan, Ye, ; Wang, Xiaoyang, ; Liu, Huawen, ; Zhao, Xiang, . - 1 ed. . - [s.l.] : Springer, 2020 . - XX, 484 p. 163 ilustraciones, 123 ilustraciones en color. ISBN : 978-3-030-55393-7 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Inteligencia artificial Software de la aplicacion Ciencias sociales Procesamiento de datos Gestión de base de datos TecnologÃa de la información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento MinerÃa de datos y descubrimiento de conocimientos Aplicación Informática en Tratamiento de Datos Administrativos |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este conjunto de dos volúmenes de LNAI 12274 y LNAI 12275 constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2020, celebrada en Hangzhou, China, en agosto de 2020.* Los 58 artÃculos completos revisados ​​y los 27 artÃculos breves Los artÃculos fueron cuidadosamente revisados ​​y seleccionados entre 291 presentaciones. Los artÃculos del primer volumen están organizados en las siguientes secciones temáticas: gráfico de conocimiento; representación del conocimiento; gestión del conocimiento para la educación; sistemas basados ​​en el conocimiento; y procesamiento y minerÃa de datos. Los artÃculos del segundo volumen están organizados en las siguientes secciones temáticas: aprendizaje automático; algoritmos y sistemas de recomendación; análisis y gestión del conocimiento social; minerÃa de textos y análisis de documentos; y aprendizaje profundo. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. |
| Nota de contenido: |
Machine Learning -- MA-TREX: Multi-agent Trajectory-ranked Reward Extrapolation via Inverse Reinforcement Learning -- An Incremental Learning Network Model based on Random Sample Distribution Fitting -- Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition System -- Improving Policy Generalization for Teacher-Student Reinforcement Learning -- Recommendation Algorithms and Systems -- Towards effective top-k location recommendation for business facility placement -- Pairwise-based Hierarchical Gating Networks for Sequential Recommendation -- Time-aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation -- A Time Interval Aware Approach for Session-based Social Recommendation -- AutoIDL: Automated Imbalanced Data Learning via Collaborative Filtering -- Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation -- Robust Sequence Embedding for Recommendation -- Deep Generative Recommendation with Maximizing Reciprocal Rank -- Spatio-Temporal Attentive Network for Session-based Recommendation -- Social Knowledge Analysis and Management -- Category-level Adversarial Network for Cross-Domain Sentiment Classification -- Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcement Learning -- CIFEF: Combining implicit and explicit features for friendship inference in location-based social networks -- A Knowledge Enhanced Ensemble Learning Model for Mental Disorder Detection on Social Media -- Constrained Viral Marketing in Social Networks -- A Multi-source Self-adaptive Transfer Learning Model for Mining Social Links -- Text Mining and Document Analysis -- Multi-hop Syntactic Graph Convolutional Networks for Aspect-based Sentiment Classification -- A Matching-Integration-Verification Model for Multiple-Choice Reading Comprehension -- How to interact and change? Abstractive Dialogue Summarization with Dialogue Act Weight and Topic Change Info -- Chinese Text Classification via Bidirectional Lattice LSTM -- MG-BERT: A Multi-Glosses BERT Model for Word Sense Disambiguation -- Top Personalized Reviews Set Selection Based on Subject Aspect Modeling -- SCX-SD: Semi-Supervised Method for Contextual Sarcasm Detection -- End-to-End Multi-task Learning for Allusion Detection in Ancient Chinese Poems -- Defense of Word-level Adversarial Attacks via Random Substitution Encoding -- Document-Improved Hierarchical Modular Attention for Event Detection -- Fine-tuned Transformer Model for Sentiment Analysis -- An Algorithm for Emotion Evaluation and Analysis Based on CBOW -- Predicting Crowdsourcing Worker Performance with Knowledge Tracing -- Deep Learning -- Watermarking neural network with compensation mechanism -- Information Diffusion Prediction with Personalized Graph Neural Networks -- Relationship-Aware Hard Negative Generation in Deep Metric Learning -- Striking a Balance in Unsupervised Fine-grained Domain Adaptation Using Adversarial Learning -- Improved Performance of GANs via Integrating Gradient Penalty with Spectral Normalization -- Evidential Deep Neural Networks for Uncertain Data Classification -- GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction -- Depthwise Separable Convolutional Neural Network for Confidential Information Analysis -- The Short-Term Exit Traffic Prediction of A Toll Station Based on LSTM -- Long and Short Term Risk Control for Online Portfolio Selection. |
| En lÃnea: |
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 |
|  |
13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part II
