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Global LAnd Surface Satellite (GLASS) Products : Algorithms, Validation and Analysis / / by Shunlin Liang, Xiaotong Zhang, Zhiqiang Xiao, Jie Cheng, Qiang Liu, Xiang Zhao
| Global LAnd Surface Satellite (GLASS) Products : Algorithms, Validation and Analysis / / by Shunlin Liang, Xiaotong Zhang, Zhiqiang Xiao, Jie Cheng, Qiang Liu, Xiang Zhao |
| Autore | Liang Shunlin |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (171 p.) |
| Disciplina | 628 |
| Collana | SpringerBriefs in Earth Sciences |
| Soggetto topico |
Remote sensing
Physical geography Environmental sciences Remote Sensing/Photogrammetry Physical Geography Environmental Science and Engineering |
| ISBN | 3-319-02588-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Leaf Area Index -- Shortwave Albedo -- Longwave Emissivity -- Incident Shortwave Radiation -- Incident Photosynthetic Active Radiation -- Challenges and prospects. |
| Record Nr. | UNINA-9910298362703321 |
Liang Shunlin
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part II / / edited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao
| Knowledge Science, Engineering and Management [[electronic resource] ] : 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part II / / edited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 484 p. 163 illus., 123 illus. in color.) |
| Disciplina | 006.33 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Data mining Database management Artificial Intelligence Information Systems Applications (incl. Internet) Computer Appl. in Social and Behavioral Sciences Data Mining and Knowledge Discovery Database Management Computer Appl. in Administrative Data Processing |
| ISBN | 3-030-55393-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996418303703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I / / edited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao
| Knowledge Science, Engineering and Management [[electronic resource] ] : 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I / / edited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXVI, 510 p. 202 illus., 116 illus. in color.) |
| Disciplina | 006.33 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Data mining Database management Artificial Intelligence Information Systems Applications (incl. Internet) Computer Appl. in Social and Behavioral Sciences Data Mining and Knowledge Discovery Database Management Computer Appl. in Administrative Data Processing |
| ISBN | 3-030-55130-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996418304103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Science, Engineering and Management : 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part II / / edited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao
| Knowledge Science, Engineering and Management : 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part II / / edited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 484 p. 163 illus., 123 illus. in color.) |
| Disciplina |
006.33
006.331 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Data mining Database management Artificial Intelligence Information Systems Applications (incl. Internet) Computer Appl. in Social and Behavioral Sciences Data Mining and Knowledge Discovery Database Management Computer Appl. in Administrative Data Processing |
| ISBN | 3-030-55393-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910416084503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Science, Engineering and Management : 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I / / edited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao
| Knowledge Science, Engineering and Management : 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I / / edited by Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXVI, 510 p. 202 illus., 116 illus. in color.) |
| Disciplina |
006.33
006.331 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Data mining Database management Artificial Intelligence Information Systems Applications (incl. Internet) Computer Appl. in Social and Behavioral Sciences Data Mining and Knowledge Discovery Database Management Computer Appl. in Administrative Data Processing |
| ISBN | 3-030-55130-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910416084603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Web Information Systems and Applications [[electronic resource] ] : 20th International Conference, WISA 2023, Chengdu, China, September 15–17, 2023, Proceedings / / edited by Long Yuan, Shiyu Yang, Ruixuan Li, Evangelos Kanoulas, Xiang Zhao
| Web Information Systems and Applications [[electronic resource] ] : 20th International Conference, WISA 2023, Chengdu, China, September 15–17, 2023, Proceedings / / edited by Long Yuan, Shiyu Yang, Ruixuan Li, Evangelos Kanoulas, Xiang Zhao |
| Autore | Yuan Long |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (645 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YangShiyu
LiRuixuan KanoulasEvangelos ZhaoXiang |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Data mining Database management Application software Artificial Intelligence Data Mining and Knowledge Discovery Database Management Computer and Information Systems Applications |
| ISBN | 981-9962-22-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Mining and Knowledge Discovery -- Research on Long Life Product Prognostics Technology Based on Deep Learning and Statistical Information Fusion -- A multi-label imbalanced data classification method based on label partition integration -- X-ray Prohibited Items Recognition Based on Improved YOLOv5 -- Temporal Convolution and Multi-Attention Jointly Enhanced Electricity Load Forecasting -- Jointly Learning Structure-Augmented Semantic Representation and Logical Rules for Knowledge Graph Completion -- Rule-enhanced Evolutional Dual Graph Convolutional Network For Temporal Knowledge Graph Link Prediction -- DINE: Dynamic Information Network Embedding for Social Recommendation -- Empowering Chinese Hypernym-Hyponym Relation Extraction Leveraging Entity Description and Attribute Information -- Knowledge-Concept Diagnosis from fMRIs by using a Space-Time Embedding Graph Convolutional Network -- Interactively Mining Interesting Spatial Co-Location Patterns by Using Fuzzy Ontologies -- Representation Learning of Multi-layer Living Circle Structure -- Knowledge Graph Completion With Fused Factual and Commonsense Information -- Heterogeneous Graphs Embedding Learning with Metapath Instance Contexts -- Finding Introverted Cores in Bipartite Graphs -- Recommender Systems -- GENE: Global Enhanced Graph Neural Network Embedding for Session-based Recommendation -- Research on Predicting the Impact of Venue Based on Academic Heterogeneous Network -- Exploiting Item relationships with Dual-channel attention networks for Session-based Recommendation -- Interactive Model and Application of Joint Knowledge Base Question Answering and Semantic Matching -- Policy-Oriented Object Ranking with High-dimensional Data: A Case Study of Olympic Host Country or Region Selection -- Natural Language Processing -- A Joint Relation Extraction Model Based on Domain N-gram Adapter and Axial Attention for Military Domain -- TCM Function Multi-Classification Approach Using Deep Learning Models -- A Relation Extraction Model for Enhancing Subject Features and Relational Attention -- An Approach of Code Summary Generation Using Multi-Feature Fusion Based on Transformer -- Combines Contrastive Learning and Primary Capsule Encoder for Target Sentiment Classification -- An Entity Alignment Method Based on Graph Attention Network with Pre-Classification -- Text-independent Speaker Verification Based on Mutual Information Disentanglement -- FocusCap: Object-Focused Image Captioning with CLIP-Guided Language Model -- Chinese Nested Named Entity Recognition Based on Boundary Prompt -- Security, Privacy and Trust -- An Analysis Method for Time-based Features of Malicious Domains Based on Time Series Clustering -- Vulnerability Detection Based on Unified Code Property Graph -- Short repudiable ring signature: constant size and less overhead -- Lazy Machine Unlearning Strategy for Random Forests -- Will Data Sharing Scheme Based on Blockchain and Weighted Attribute-Based Encryption -- Secure Mutual Aid Service Scheme Based on Blockchain and Attribute-Based Encryption in Time Bank -- Exact query in Multi-Version Key Encrypted Database via Bloom filters -- BertHTLG: Graph-based Microservice Anomaly Detection through Sentence-Bert Enhancement -- An Analysis of the Rust Programming Practice for Memory Safety Assurance -- Blockchain -- A Blockchain Query Optimization Method Based on Hybrid Indexes -- Design Scheme of Anti-lost Functional Clothing for the Elderly Based on Blockchain -- Multi-User On-Chain and Off-Chain Collaborative Query Optimization Based on Consortium Blockchain -- BEAIV: Blockchain Empowered Accountable Integrity Verification Scheme for Cross-chain Data -- A novel group signature scheme with time-bound keys for blockchain -- An Efficient Storage Optimization Scheme for Blockchain Based on Hash Slot -- Parallel and Distributed Systems -- An IoT Service Development Framework Driven by Business Event Description -- Slew-driven Layer Assignment for Advanced Non-default-rule Wires -- Parallelize Accelerated Triangle Counting Using Bit-Wise on GPU -- RL-Based CEP Operator Placement Method on Edge Networks Using Response Time Feedback -- Database for artificial intelligence -- A Suitability Assessment Framework for Medical Cell Images in Chromosome Analysis -- Design innovation and application practice based on automatic thrombolysis after ischemic stroke -- Friction-based nanotransparent fibers for electronic skin for medical applications -- Self-powered flexible electronic skin based on ultra-stretchable frictional nano-integration -- Brain-machine based rehabilitation motor interface and design evaluation for stroke patients. . |
| Record Nr. | UNISA-996550560003316 |
|
Yuan Long
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Web Information Systems and Applications [[electronic resource] ] : 20th International Conference, WISA 2023, Chengdu, China, September 15–17, 2023, Proceedings / / edited by Long Yuan, Shiyu Yang, Ruixuan Li, Evangelos Kanoulas, Xiang Zhao
| Web Information Systems and Applications [[electronic resource] ] : 20th International Conference, WISA 2023, Chengdu, China, September 15–17, 2023, Proceedings / / edited by Long Yuan, Shiyu Yang, Ruixuan Li, Evangelos Kanoulas, Xiang Zhao |
| Autore | Yuan Long |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (645 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YangShiyu
LiRuixuan KanoulasEvangelos ZhaoXiang |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Data mining Database management Application software Artificial Intelligence Data Mining and Knowledge Discovery Database Management Computer and Information Systems Applications |
| ISBN | 981-9962-22-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Mining and Knowledge Discovery -- Research on Long Life Product Prognostics Technology Based on Deep Learning and Statistical Information Fusion -- A multi-label imbalanced data classification method based on label partition integration -- X-ray Prohibited Items Recognition Based on Improved YOLOv5 -- Temporal Convolution and Multi-Attention Jointly Enhanced Electricity Load Forecasting -- Jointly Learning Structure-Augmented Semantic Representation and Logical Rules for Knowledge Graph Completion -- Rule-enhanced Evolutional Dual Graph Convolutional Network For Temporal Knowledge Graph Link Prediction -- DINE: Dynamic Information Network Embedding for Social Recommendation -- Empowering Chinese Hypernym-Hyponym Relation Extraction Leveraging Entity Description and Attribute Information -- Knowledge-Concept Diagnosis from fMRIs by using a Space-Time Embedding Graph Convolutional Network -- Interactively Mining Interesting Spatial Co-Location Patterns by Using Fuzzy Ontologies -- Representation Learning of Multi-layer Living Circle Structure -- Knowledge Graph Completion With Fused Factual and Commonsense Information -- Heterogeneous Graphs Embedding Learning with Metapath Instance Contexts -- Finding Introverted Cores in Bipartite Graphs -- Recommender Systems -- GENE: Global Enhanced Graph Neural Network Embedding for Session-based Recommendation -- Research on Predicting the Impact of Venue Based on Academic Heterogeneous Network -- Exploiting Item relationships with Dual-channel attention networks for Session-based Recommendation -- Interactive Model and Application of Joint Knowledge Base Question Answering and Semantic Matching -- Policy-Oriented Object Ranking with High-dimensional Data: A Case Study of Olympic Host Country or Region Selection -- Natural Language Processing -- A Joint Relation Extraction Model Based on Domain N-gram Adapter and Axial Attention for Military Domain -- TCM Function Multi-Classification Approach Using Deep Learning Models -- A Relation Extraction Model for Enhancing Subject Features and Relational Attention -- An Approach of Code Summary Generation Using Multi-Feature Fusion Based on Transformer -- Combines Contrastive Learning and Primary Capsule Encoder for Target Sentiment Classification -- An Entity Alignment Method Based on Graph Attention Network with Pre-Classification -- Text-independent Speaker Verification Based on Mutual Information Disentanglement -- FocusCap: Object-Focused Image Captioning with CLIP-Guided Language Model -- Chinese Nested Named Entity Recognition Based on Boundary Prompt -- Security, Privacy and Trust -- An Analysis Method for Time-based Features of Malicious Domains Based on Time Series Clustering -- Vulnerability Detection Based on Unified Code Property Graph -- Short repudiable ring signature: constant size and less overhead -- Lazy Machine Unlearning Strategy for Random Forests -- Will Data Sharing Scheme Based on Blockchain and Weighted Attribute-Based Encryption -- Secure Mutual Aid Service Scheme Based on Blockchain and Attribute-Based Encryption in Time Bank -- Exact query in Multi-Version Key Encrypted Database via Bloom filters -- BertHTLG: Graph-based Microservice Anomaly Detection through Sentence-Bert Enhancement -- An Analysis of the Rust Programming Practice for Memory Safety Assurance -- Blockchain -- A Blockchain Query Optimization Method Based on Hybrid Indexes -- Design Scheme of Anti-lost Functional Clothing for the Elderly Based on Blockchain -- Multi-User On-Chain and Off-Chain Collaborative Query Optimization Based on Consortium Blockchain -- BEAIV: Blockchain Empowered Accountable Integrity Verification Scheme for Cross-chain Data -- A novel group signature scheme with time-bound keys for blockchain -- An Efficient Storage Optimization Scheme for Blockchain Based on Hash Slot -- Parallel and Distributed Systems -- An IoT Service Development Framework Driven by Business Event Description -- Slew-driven Layer Assignment for Advanced Non-default-rule Wires -- Parallelize Accelerated Triangle Counting Using Bit-Wise on GPU -- RL-Based CEP Operator Placement Method on Edge Networks Using Response Time Feedback -- Database for artificial intelligence -- A Suitability Assessment Framework for Medical Cell Images in Chromosome Analysis -- Design innovation and application practice based on automatic thrombolysis after ischemic stroke -- Friction-based nanotransparent fibers for electronic skin for medical applications -- Self-powered flexible electronic skin based on ultra-stretchable frictional nano-integration -- Brain-machine based rehabilitation motor interface and design evaluation for stroke patients. . |
| Record Nr. | UNINA-9910746092403321 |
|
Yuan Long
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Web information systems and applications : 19th international conference, WISA 2022, Dalian, China, September 16-18, 2022, proceedings / / Xiang Zhao [and three others] (editors)
| Web information systems and applications : 19th international conference, WISA 2022, Dalian, China, September 16-18, 2022, proceedings / / Xiang Zhao [and three others] (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (749 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Artificial intelligence
World Wide Web |
| ISBN | 3-031-20309-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Knowledge Graph -- Temporal Knowledge Graph Embedding for Link Prediction -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Methodology -- 4.1 Structural Self-attention -- 4.2 Temporal Self-attention -- 4.3 Parameter Learning -- 4.4 Discussion -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Performance Comparison (RQ1) -- 5.3 Utility of Structural and Temporal Self-attention (RQ2) -- 5.4 Hyper-Parameter Studies (RQ3) -- 6 Conclusions -- References -- A Multi-modal Knowledge Graph Platform Based on Medical Data Lake -- 1 Introduction -- 2 Related Work -- 3 Architecture of MMKGP -- 4 Translation-Based Model Enhanced by Prior Knowledge -- 4.1 TransE Model -- 4.2 Constraint for Relations -- 5 Knowledge Graph Completion with Multi-modal Data -- 5.1 Dataset -- 5.2 Evaluation Criterion -- 5.3 Model Training and Result -- 6 Knowledge Graph-Based Clinical Decision Support System -- 6.1 Link Prediction & -- Correction -- 6.2 Recommendation and Q& -- A System -- 7 Conclusion -- References -- Fusion of Natural Language and Knowledge Graph for Multi-hop Reasoning -- 1 Introduction -- 2 Related Works -- 3 Model -- 3.1 Description -- 3.2 Framework -- 3.3 Subgraph Retrieval -- 3.4 Structural Fusion -- 3.5 Relation Reasoning -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Model Comparison -- 5 Conclusion -- References -- Commonsense Knowledge Construction with Concept and Pretrained Model -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Framework of CG& -- BF -- 3.2 Concept-Based Generator -- 3.3 BERT-Based Filter -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Model Comparison -- 5 Conclusion -- References -- Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering -- 1 Introduction -- 2 Related Work -- 3 Task Formulation -- 4 Methodology.
4.1 Personalized Knowledge Aggregation -- 4.2 User Aggregation -- 4.3 Prediction Layer -- 5 Experiments -- 5.1 Datasets -- 5.2 Baselines -- 5.3 Experimental Settings -- 5.4 Performance Comparison (RQ1) -- 5.5 Ablation Studies (RQ2) -- 6 Conclusion -- References -- Bi-Directional Neighborhood-Aware Network for Entity Alignment in Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 2.1 Embedding-Based Methods -- 2.2 Phenomenon of Long-Tail -- 3 Problem Formalization -- 4 Methodology -- 4.1 Neighborhood Embedding -- 4.2 Entity Name Embedding -- 4.3 Feature Fusion with Bi-attention -- 4.4 Alignment and Training -- 5 Experiments -- 5.1 Experiment Setting -- 5.2 Main Result -- 5.3 Ablation Study -- 5.4 Evaluation by Degrees Interval -- 5.5 Robustness on Datasets -- 6 Conclusion -- References -- SAREM: Semi-supervised Active Heterogeneous Entity Matching Framework -- 1 Introduction -- 2 Related Work -- 2.1 Entity Matching -- 2.2 EM Based on Active Learning -- 3 Problem Statement and Definition -- 4 The Framework: Sarem -- 4.1 Data Augmentation -- 4.2 Feature Extraction -- 4.3 Example Selection -- 4.4 Semi-supervised Task Learning -- 5 Experiments -- 5.1 Experiment Dataset -- 5.2 Implementation Details and Evaluation Metrics -- 5.3 Compared Methods -- 5.4 Experimental Results -- 6 Conclusion -- References -- LocRDF: An Ontology-Aware Key-Value Store for Massive RDF Data -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 LocRDF -- 4.1 Encoding -- 4.2 System Storage -- 4.3 Query and Reasoning -- 5 Experimental Evaluation -- 5.1 Experiment Setup and Datasets -- 5.2 Experimental Results -- 6 Conclusion -- References -- Multi-view Based Entity Frequency-Aware Graph Neural Network for Temporal Knowledge Graph Link Prediction -- 1 Introduction -- 2 Related Work -- 3 Definition -- 4 Proposed Approach -- 4.1 Multi-view Graph Neural Network. 4.2 Entity Frequency-Aware Attention Network -- 4.3 Decoder and Training -- 5 Experiments -- 5.1 Experiment Dataset -- 5.2 Evaluation Metrics -- 5.3 Baseline Methods -- 5.4 Performance Comparison -- 5.5 Parameter Analysis -- 6 Conclusion and Outlook -- References -- Semantic Reasoning Technology on Temporal Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Problem Definition -- 3.2 Framework -- 4 Method -- 4.1 Historical Reasoning -- 4.2 Temporal Reasoning -- 4.3 Prediction for Two-Stage Integration -- 5 Experiments -- 5.1 Experiment Setup -- 5.2 Model Comparison -- 6 Conclusion -- References -- Multiple-Granularity Graph for Document-Level Relation Extraction -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Encoding Module -- 3.2 Graph Construction Module -- 3.3 Inference Module -- 3.4 Classification Module -- 4 Experiment and Result Analysis -- 4.1 Dataset and Evaluation Indicators -- 4.2 Experiment Result and Analysis -- 5 Conclusion -- References -- A Fine-Grained Anomaly Detection Method Fusing Isolation Forest and Knowledge Graph Reasoning -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Global Anomaly Detector -- 3.2 Expert Judgment Detector -- 3.3 Local Knowledge Graph Reasoning Detector -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Evaluation on the KWIF Algorithm -- 4.3 Evaluation on the Proposed Whole Model -- 5 Conclusion -- References -- Design of Trademark Recommendation System Based on Knowledge Graph -- 1 Introduction -- 2 Construction of Knowledge Graph and the Design and Implementation of Recommendation System -- 3 Summary -- References -- Natural Language Processing -- An Integrated Chinese Malicious Webpages Detection Method Based on Pre-trained Language Models and Feature Fusion -- 1 Introduction -- 2 Related Work -- 2.1 Malicious Webpages Dataset Construction -- 2.2 Feature Extraction. 2.3 Identification Methods -- 3 Method Framework -- 3.1 Construction of Chinese Malicious Webpages Detection Dataset -- 3.2 Manually Designed Feature Template -- 3.3 BERT-URL Based on External Pure URLs Classification -- 3.4 BERT-Web-text Based on Masked Language Model -- 4 Experimental Results and Analysis -- 4.1 External URLs Classification -- 4.2 Chinese Malicious Webpages Detection on the Internal Data -- 4.3 Webpages High-Frequency Words Analysis -- 5 Conclusion -- References -- Code Comments Generation with Data Flow-Guided Transformer -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Data Flow -- 3.2 Transformer Variant Guided by Data Flow -- 3.3 Improved Beam Search Decoding -- 4 Experiments -- 4.1 Datasets and Pre-processing -- 4.2 Metrics and Training Details -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Coreference Resolution with Syntax and Semantics -- 1 Introduction -- 2 Related Work -- 2.1 End-to-End Coreference Resolution -- 2.2 Coreference Resolution of Non-span Representations -- 2.3 Coreference Resolution of Associative Component Syntax -- 3 Methodology -- 3.1 Token Representation -- 3.2 Coreference Score Calculation -- 3.3 Representation with Syntax and Semantics -- 3.4 Mention Extraction -- 3.5 Model Training -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Performance Comparison -- 4.3 Efficiency Comparison -- 5 Conclusion -- References -- Self-adaptive Context Reasoning Mechanism for Text Sentiment Analysis -- 1 Introduction -- 2 Related Works -- 3 ALBERT-SACR -- 3.1 Embedding -- 3.2 Global Contextual Features -- 3.3 Self-adaptive Context Reasoning Mechanism -- 3.4 Output of Sentiment Analysis -- 4 Simulation Experiments and Analysis -- 4.1 Experimental Settings -- 4.2 Comparative Experiments and Analysis -- 4.3 Influence of CNN Channel Numbers -- 5 Conclusion and Future Works -- References. AOED: Generating SQL with the Aggregation Operator Enhanced Decoding -- 1 Introduction -- 2 Related Work -- 2.1 Semantic Parsing -- 2.2 Sketch-Based Deep Learning Models -- 3 Methodology -- 3.1 Model Overview -- 3.2 Statistics of KSAA -- 3.3 Aggregation Operator Enhanced Decoding -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Overall Result -- 4.3 Ablation Study -- 5 Conclusion and Future Work -- References -- Multi-granularity Chinese Text Matching Model Combined with Bidirectional Attention -- 1 Introduction -- 2 Related Work -- 2.1 Representation-Based Models -- 2.2 Interaction-Based Models -- 3 Proposed Model -- 3.1 Embedding Layer -- 3.2 Bi-attention Layer -- 3.3 Multi-granularity Information Extraction Layer -- 3.4 Matching Layer -- 4 Experiment and Result -- 4.1 Dataset and Contrast Models -- 4.2 Metrics and Result -- 5 Experiment and Result -- References -- World Wide Web -- Data Fusion Methods with Graded Relevance Judgment*-12pt -- 1 Introduction -- 2 Related Work -- 3 Four Measures for Graded Relevance Judgment -- 4 Data Fusion Methods with Graded Relevance Judgment -- 5 Experimental Settings and Results -- 6 Conclusions -- 7 Appendix -- References -- Highway Accident Localization Based on Virtual Fence for Intelligent Transportation Systems*-12pt -- 1 Introduction -- 2 Related Work -- 3 System Model and Problem Formulation -- 3.1 System Model -- 3.2 Virtual Fence Model -- 3.3 Problem Formulation -- 4 Highway Accident Localization -- 4.1 Accident Location Determination -- 4.2 Algorithm Design -- 5 Performance Evaluation -- 5.1 System Settings -- 5.2 Accuracy Evaluation -- 5.3 Efficiency Evaluation -- 5.4 Economic Evaluation -- 6 Conclusion -- References -- Design and Implementation of Analyzer Management System Based on Elasticsearch*-12pt -- 1 Introduction -- 2 Related Work -- 3 Concept of Design -- 3.1 Overview of System. 3.2 System Design. |
| Record Nr. | UNISA-996503471203316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Web information systems and applications : 19th international conference, WISA 2022, Dalian, China, September 16-18, 2022, proceedings / / Xiang Zhao [and three others] (editors)
| Web information systems and applications : 19th international conference, WISA 2022, Dalian, China, September 16-18, 2022, proceedings / / Xiang Zhao [and three others] (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (749 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Artificial intelligence
World Wide Web |
| ISBN | 3-031-20309-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Knowledge Graph -- Temporal Knowledge Graph Embedding for Link Prediction -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Methodology -- 4.1 Structural Self-attention -- 4.2 Temporal Self-attention -- 4.3 Parameter Learning -- 4.4 Discussion -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Performance Comparison (RQ1) -- 5.3 Utility of Structural and Temporal Self-attention (RQ2) -- 5.4 Hyper-Parameter Studies (RQ3) -- 6 Conclusions -- References -- A Multi-modal Knowledge Graph Platform Based on Medical Data Lake -- 1 Introduction -- 2 Related Work -- 3 Architecture of MMKGP -- 4 Translation-Based Model Enhanced by Prior Knowledge -- 4.1 TransE Model -- 4.2 Constraint for Relations -- 5 Knowledge Graph Completion with Multi-modal Data -- 5.1 Dataset -- 5.2 Evaluation Criterion -- 5.3 Model Training and Result -- 6 Knowledge Graph-Based Clinical Decision Support System -- 6.1 Link Prediction & -- Correction -- 6.2 Recommendation and Q& -- A System -- 7 Conclusion -- References -- Fusion of Natural Language and Knowledge Graph for Multi-hop Reasoning -- 1 Introduction -- 2 Related Works -- 3 Model -- 3.1 Description -- 3.2 Framework -- 3.3 Subgraph Retrieval -- 3.4 Structural Fusion -- 3.5 Relation Reasoning -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Model Comparison -- 5 Conclusion -- References -- Commonsense Knowledge Construction with Concept and Pretrained Model -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Framework of CG& -- BF -- 3.2 Concept-Based Generator -- 3.3 BERT-Based Filter -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Model Comparison -- 5 Conclusion -- References -- Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering -- 1 Introduction -- 2 Related Work -- 3 Task Formulation -- 4 Methodology.
4.1 Personalized Knowledge Aggregation -- 4.2 User Aggregation -- 4.3 Prediction Layer -- 5 Experiments -- 5.1 Datasets -- 5.2 Baselines -- 5.3 Experimental Settings -- 5.4 Performance Comparison (RQ1) -- 5.5 Ablation Studies (RQ2) -- 6 Conclusion -- References -- Bi-Directional Neighborhood-Aware Network for Entity Alignment in Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 2.1 Embedding-Based Methods -- 2.2 Phenomenon of Long-Tail -- 3 Problem Formalization -- 4 Methodology -- 4.1 Neighborhood Embedding -- 4.2 Entity Name Embedding -- 4.3 Feature Fusion with Bi-attention -- 4.4 Alignment and Training -- 5 Experiments -- 5.1 Experiment Setting -- 5.2 Main Result -- 5.3 Ablation Study -- 5.4 Evaluation by Degrees Interval -- 5.5 Robustness on Datasets -- 6 Conclusion -- References -- SAREM: Semi-supervised Active Heterogeneous Entity Matching Framework -- 1 Introduction -- 2 Related Work -- 2.1 Entity Matching -- 2.2 EM Based on Active Learning -- 3 Problem Statement and Definition -- 4 The Framework: Sarem -- 4.1 Data Augmentation -- 4.2 Feature Extraction -- 4.3 Example Selection -- 4.4 Semi-supervised Task Learning -- 5 Experiments -- 5.1 Experiment Dataset -- 5.2 Implementation Details and Evaluation Metrics -- 5.3 Compared Methods -- 5.4 Experimental Results -- 6 Conclusion -- References -- LocRDF: An Ontology-Aware Key-Value Store for Massive RDF Data -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 LocRDF -- 4.1 Encoding -- 4.2 System Storage -- 4.3 Query and Reasoning -- 5 Experimental Evaluation -- 5.1 Experiment Setup and Datasets -- 5.2 Experimental Results -- 6 Conclusion -- References -- Multi-view Based Entity Frequency-Aware Graph Neural Network for Temporal Knowledge Graph Link Prediction -- 1 Introduction -- 2 Related Work -- 3 Definition -- 4 Proposed Approach -- 4.1 Multi-view Graph Neural Network. 4.2 Entity Frequency-Aware Attention Network -- 4.3 Decoder and Training -- 5 Experiments -- 5.1 Experiment Dataset -- 5.2 Evaluation Metrics -- 5.3 Baseline Methods -- 5.4 Performance Comparison -- 5.5 Parameter Analysis -- 6 Conclusion and Outlook -- References -- Semantic Reasoning Technology on Temporal Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Problem Definition -- 3.2 Framework -- 4 Method -- 4.1 Historical Reasoning -- 4.2 Temporal Reasoning -- 4.3 Prediction for Two-Stage Integration -- 5 Experiments -- 5.1 Experiment Setup -- 5.2 Model Comparison -- 6 Conclusion -- References -- Multiple-Granularity Graph for Document-Level Relation Extraction -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Encoding Module -- 3.2 Graph Construction Module -- 3.3 Inference Module -- 3.4 Classification Module -- 4 Experiment and Result Analysis -- 4.1 Dataset and Evaluation Indicators -- 4.2 Experiment Result and Analysis -- 5 Conclusion -- References -- A Fine-Grained Anomaly Detection Method Fusing Isolation Forest and Knowledge Graph Reasoning -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Global Anomaly Detector -- 3.2 Expert Judgment Detector -- 3.3 Local Knowledge Graph Reasoning Detector -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Evaluation on the KWIF Algorithm -- 4.3 Evaluation on the Proposed Whole Model -- 5 Conclusion -- References -- Design of Trademark Recommendation System Based on Knowledge Graph -- 1 Introduction -- 2 Construction of Knowledge Graph and the Design and Implementation of Recommendation System -- 3 Summary -- References -- Natural Language Processing -- An Integrated Chinese Malicious Webpages Detection Method Based on Pre-trained Language Models and Feature Fusion -- 1 Introduction -- 2 Related Work -- 2.1 Malicious Webpages Dataset Construction -- 2.2 Feature Extraction. 2.3 Identification Methods -- 3 Method Framework -- 3.1 Construction of Chinese Malicious Webpages Detection Dataset -- 3.2 Manually Designed Feature Template -- 3.3 BERT-URL Based on External Pure URLs Classification -- 3.4 BERT-Web-text Based on Masked Language Model -- 4 Experimental Results and Analysis -- 4.1 External URLs Classification -- 4.2 Chinese Malicious Webpages Detection on the Internal Data -- 4.3 Webpages High-Frequency Words Analysis -- 5 Conclusion -- References -- Code Comments Generation with Data Flow-Guided Transformer -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Data Flow -- 3.2 Transformer Variant Guided by Data Flow -- 3.3 Improved Beam Search Decoding -- 4 Experiments -- 4.1 Datasets and Pre-processing -- 4.2 Metrics and Training Details -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Coreference Resolution with Syntax and Semantics -- 1 Introduction -- 2 Related Work -- 2.1 End-to-End Coreference Resolution -- 2.2 Coreference Resolution of Non-span Representations -- 2.3 Coreference Resolution of Associative Component Syntax -- 3 Methodology -- 3.1 Token Representation -- 3.2 Coreference Score Calculation -- 3.3 Representation with Syntax and Semantics -- 3.4 Mention Extraction -- 3.5 Model Training -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Performance Comparison -- 4.3 Efficiency Comparison -- 5 Conclusion -- References -- Self-adaptive Context Reasoning Mechanism for Text Sentiment Analysis -- 1 Introduction -- 2 Related Works -- 3 ALBERT-SACR -- 3.1 Embedding -- 3.2 Global Contextual Features -- 3.3 Self-adaptive Context Reasoning Mechanism -- 3.4 Output of Sentiment Analysis -- 4 Simulation Experiments and Analysis -- 4.1 Experimental Settings -- 4.2 Comparative Experiments and Analysis -- 4.3 Influence of CNN Channel Numbers -- 5 Conclusion and Future Works -- References. AOED: Generating SQL with the Aggregation Operator Enhanced Decoding -- 1 Introduction -- 2 Related Work -- 2.1 Semantic Parsing -- 2.2 Sketch-Based Deep Learning Models -- 3 Methodology -- 3.1 Model Overview -- 3.2 Statistics of KSAA -- 3.3 Aggregation Operator Enhanced Decoding -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Overall Result -- 4.3 Ablation Study -- 5 Conclusion and Future Work -- References -- Multi-granularity Chinese Text Matching Model Combined with Bidirectional Attention -- 1 Introduction -- 2 Related Work -- 2.1 Representation-Based Models -- 2.2 Interaction-Based Models -- 3 Proposed Model -- 3.1 Embedding Layer -- 3.2 Bi-attention Layer -- 3.3 Multi-granularity Information Extraction Layer -- 3.4 Matching Layer -- 4 Experiment and Result -- 4.1 Dataset and Contrast Models -- 4.2 Metrics and Result -- 5 Experiment and Result -- References -- World Wide Web -- Data Fusion Methods with Graded Relevance Judgment*-12pt -- 1 Introduction -- 2 Related Work -- 3 Four Measures for Graded Relevance Judgment -- 4 Data Fusion Methods with Graded Relevance Judgment -- 5 Experimental Settings and Results -- 6 Conclusions -- 7 Appendix -- References -- Highway Accident Localization Based on Virtual Fence for Intelligent Transportation Systems*-12pt -- 1 Introduction -- 2 Related Work -- 3 System Model and Problem Formulation -- 3.1 System Model -- 3.2 Virtual Fence Model -- 3.3 Problem Formulation -- 4 Highway Accident Localization -- 4.1 Accident Location Determination -- 4.2 Algorithm Design -- 5 Performance Evaluation -- 5.1 System Settings -- 5.2 Accuracy Evaluation -- 5.3 Efficiency Evaluation -- 5.4 Economic Evaluation -- 6 Conclusion -- References -- Design and Implementation of Analyzer Management System Based on Elasticsearch*-12pt -- 1 Introduction -- 2 Related Work -- 3 Concept of Design -- 3.1 Overview of System. 3.2 System Design. |
| Record Nr. | UNINA-9910634038503321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||