Autor Shen, Heng Tao
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Documentos disponibles escritos por este autor (2)
Hacer una sugerencia Refinar búsqueda13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I / Li, Gang ; Shen, Heng Tao ; Yuan, Ye ; Wang, Xiaoyang ; Liu, Huawen ; Zhao, Xiang
TÃtulo : 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I 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: XXVI, 510 p. 202 ilustraciones, 116 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-55130-8 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: Knowledge Graph -- Event-centric Tourism Knowledge Graph — A Case Study of Hainan -- Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models -- Graph Embedding Based on Characteristic of Rooted Subgraph Structure -- Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation -- Topological Graph Representation Learning on Property Graph -- Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection -- A Contextualized Entity Representation for Knowledge Graph Completion -- A Dual Fusion Model for Attributed Network Embedding -- Attention-based Knowledge Tracing with Heterogeneous Information Network Embedding -- Knowledge Representation -- Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs -- Edge Features Enhanced Graph Attention Network for Relation Extraction -- MMEA: Entity Alignment for Multi-Modal Knowledge Graph -- A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction -- NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples -- A Robust Representation with Pre-Trained Start and End Characters Vectors for Noisy Word Recognition -- Intention Multiple-representation Model for Logistics Intelligent Customer Service -- Identifying Loners from Their Project Collaboration Records – A Graph-based Approach -- Node Embedding over Attributed Bipartite Graphs -- FastLogSim: A quick log pattern parser scheme based on text similarity -- Knowledge Management for Education -- Robotic Pushing and Grasping Knowledge Learning via Attention Deep Q-Learning Network -- A Dynamic Answering Path based Fusion Model for KGQA -- Improving Deep Item-based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation -- Online Programming Education Modeling and Knowledge Tracing -- Enhancing Pre-Trained Language Models by Self-Supervised Learning for Story Cloze Test -- MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC -- Knowledge-based Systems -- PVFNet: Point-view fusion network for 3D shape recognition -- HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction -- A Graph Attentive Network Model for P2P Lending Fraud Detection -- An Empirical Study on Recent Graph Database Systems -- Bibliometric Analysis of Twitter Knowledge management publications related to Health Promotion -- Automatic cerebral artery system labeling using registration and key points tracking -- Page-level handwritten word spotting via discriminative feature learning -- NADSR: A Network Anomaly Detection Scheme based on Representation -- A Knowledge-based Scheduling Method for Multi-Satellite Range System -- IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization -- Data Processing and Mining -- Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection -- Improving Low-Resource Chinese Event Detection with Multi-Task Learning -- Feature Selection Using Sparse Twin Support Vector Machine with correntropy-induces loss -- Customized Decision Tree for Fat Multi-resolution Chart Patterns Classification -- Predicting user influence in the propagation of toxic information -- Extracting Distinctive Shapelets with Random Selection for Early Classification -- Butterfly-Based Higher-Order Clustering on Bipartite Networks -- Learning Dynamic Pricing Rules for Flight Tickets. 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 I [documento electrónico] / Li, Gang, ; Shen, Heng Tao, ; Yuan, Ye, ; Wang, Xiaoyang, ; Liu, Huawen, ; Zhao, Xiang, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVI, 510 p. 202 ilustraciones, 116 ilustraciones en color.
ISBN : 978-3-030-55130-8
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: Knowledge Graph -- Event-centric Tourism Knowledge Graph — A Case Study of Hainan -- Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models -- Graph Embedding Based on Characteristic of Rooted Subgraph Structure -- Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation -- Topological Graph Representation Learning on Property Graph -- Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection -- A Contextualized Entity Representation for Knowledge Graph Completion -- A Dual Fusion Model for Attributed Network Embedding -- Attention-based Knowledge Tracing with Heterogeneous Information Network Embedding -- Knowledge Representation -- Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs -- Edge Features Enhanced Graph Attention Network for Relation Extraction -- MMEA: Entity Alignment for Multi-Modal Knowledge Graph -- A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction -- NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples -- A Robust Representation with Pre-Trained Start and End Characters Vectors for Noisy Word Recognition -- Intention Multiple-representation Model for Logistics Intelligent Customer Service -- Identifying Loners from Their Project Collaboration Records – A Graph-based Approach -- Node Embedding over Attributed Bipartite Graphs -- FastLogSim: A quick log pattern parser scheme based on text similarity -- Knowledge Management for Education -- Robotic Pushing and Grasping Knowledge Learning via Attention Deep Q-Learning Network -- A Dynamic Answering Path based Fusion Model for KGQA -- Improving Deep Item-based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation -- Online Programming Education Modeling and Knowledge Tracing -- Enhancing Pre-Trained Language Models by Self-Supervised Learning for Story Cloze Test -- MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC -- Knowledge-based Systems -- PVFNet: Point-view fusion network for 3D shape recognition -- HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction -- A Graph Attentive Network Model for P2P Lending Fraud Detection -- An Empirical Study on Recent Graph Database Systems -- Bibliometric Analysis of Twitter Knowledge management publications related to Health Promotion -- Automatic cerebral artery system labeling using registration and key points tracking -- Page-level handwritten word spotting via discriminative feature learning -- NADSR: A Network Anomaly Detection Scheme based on Representation -- A Knowledge-based Scheduling Method for Multi-Satellite Range System -- IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization -- Data Processing and Mining -- Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection -- Improving Low-Resource Chinese Event Detection with Multi-Task Learning -- Feature Selection Using Sparse Twin Support Vector Machine with correntropy-induces loss -- Customized Decision Tree for Fat Multi-resolution Chart Patterns Classification -- Predicting user influence in the propagation of toxic information -- Extracting Distinctive Shapelets with Random Selection for Early Classification -- Butterfly-Based Higher-Order Clustering on Bipartite Networks -- Learning Dynamic Pricing Rules for Flight Tickets. 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
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
