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Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
| Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXIV, 461 p. 159 illus., 141 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Information theory Application software Computer science Information technology - Management Social sciences - Data processing Artificial Intelligence Data Structures and Information Theory Computer and Information Systems Applications Theory of Computation Computer Application in Administrative Data Processing Computer Application in Social and Behavioral Sciences |
| ISBN | 3-031-40286-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Engineering Research and Applications -- Knowing before Seeing: Incorporating Post-Retrieval Information into Pre-Retrieval Query Intention Classification -- LSRN: Live-Streaming Identification Based on Reasoning Network with Core Traffic Set -- Implicit Offensive Speech Detection Based on Multi-feature Fusion -- SIE-YOLOv5: Improved YOLOv5 for Small Object Detection in Drone-Captured-Scenarios -- Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy -- SNAFA-Net: Squared Normalization Attention and Feature Alignment for Visible-Infrared Person Re-identification -- A comparative study of chatbot response generation: traditional approaches versus large language models -- Investigating the Impact of Product Contours on User Perception of Product Attributes -- Conf-UNet: A model for speculation on unknown Oracle Bone Characters -- An Efficient One-Shot Network and Robust Data Associations in Multi-Pedestrian Tracking -- Sampling Spatial-Temporal Attention Network for Traffic Forecasting -- ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction -- Sparse-view CT Reconstruction via Implicit Neural Intensity Functions -- Tennis action recognition based on multi-branch mixed attention -- Cascade Sampling via Dual Uncertainty for Active Entity Alignment -- Template Shift and Background Suppression for Visual Object Tracking -- Reversible Data Hiding in Encrypted Images Based on A Multi-Granularity Adaptive Classification Mechanism -- Enhanced Entity Interaction Modeling for Multi-modal Entity Alignment -- Monte Carlo Medical Volume Rendering Denoising via Auxiliary Feature Guided Self-Attention and Convolution Integrated -- View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization -- HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning -- Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction -- DBA: An Efficient Approach to Boost Transfer-based Adversarial Attack Performance through Information Deletion -- A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction -- Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction -- WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction -- GMiRec: A Multi-image Visual Recommendation Model based on a Gated Neural Network -- Semi-supervised entity alignment via noisy student-based self training -- Modeling Chinese Ancient Book Catalog -- JOINT EXTRACTION OF NESTED ENTITIES AND RELATIONS BASED ON MULTI-TASK LEARNING -- A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization -- A Cognitive Knowledge Enriched Joint Framework for Social Emotion and Cause Mining -- TKSP: Long-term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge -- A Cross-Document Coreference Resolution Approach to Low-Resource Languages -- Network Flow Based IoT Anomaly Detection Using Graph Neural Network -- Disentangled Multi-factor Graph Neural Network for Non-coding RNA-drug Resistance Association Prediction. . |
| Record Nr. | UNINA-9910741148803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
| Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXIV, 471 p. 124 illus., 112 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Information technology - Management Social sciences - Data processing Application software Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Application in Administrative Data Processing Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications |
| ISBN | 3-031-40292-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Emerging technologies for Knowledge science, engineering and management -- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering -- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics -- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds -- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark -- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning -- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models -- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning -- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios -- Research on remote sensing image classification based on Transfer learning and Data Augmentation -- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism -- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning -- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation -- Are GPT Embeddings Useful for Ads and Recommendation? -- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models -- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach -- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue -- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation -- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization -- Recent Progress on Text Summarisation Based on BERT and GPT -- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization -- A Legal Multi-Choice Question Answering Model Based on BERT and Attention -- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term -- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification -- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification -- Learning Category Discriminability for Active Domain Adaptation -- Multi-Level Contrastive Learning for Commonsense Question Answering -- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model -- Univarite Time Series Forecasting via Interactive Learning -- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge -- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries -- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction -- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge -- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning -- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction -- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer -- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability -- RFLSem: A lightweight model for textual sentiment analysis. |
| Record Nr. | UNISA-996546854103316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part III / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
| Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part III / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXIV, 438 p. 120 illus., 115 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Information technology - Management Social sciences - Data processing Application software Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Application in Administrative Data Processing Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications |
| ISBN | 3-031-40289-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Management Systems -- Explainable Multi-type Item Recommendation System based on Knowledge Graph -- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction -- MVARN: Multi-view attention relation network for figure question answering -- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation -- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM -- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification -- Multi-Display Graph Attention Network for Text Classification -- Debiased Contrastive Loss for Collaborative Filtering -- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization -- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering -- Hypergraph Enhanced Contrastive Learning for News Recommendation -- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs -- A Session Recommendation Model based on Heterogeneous Graph Neural Network -- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach -- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System -- Multi-level and Multi-interest User Interest Modeling for News Recommendation -- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation -- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning -- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation -- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation -- Heavy Weighting for Potential Important Clauses -- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation -- Multi-Path based Self-Adaptive Cross-Lingual Summarization -- Temporal Repetition Counting Based on Multi-Stride Collaboration -- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning -- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm -- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning -- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection -- Multi-task learning based skin segmentation -- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation -- Citation Recommendation Based on Knowledge Graph and Multi-task Learning -- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction -- The Minimal Negated Model Semantics of Assumable Logic Programs -- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation. |
| Record Nr. | UNISA-996546854003316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
| Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXIV, 461 p. 159 illus., 141 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Information theory Application software Computer science Information technology - Management Social sciences - Data processing Artificial Intelligence Data Structures and Information Theory Computer and Information Systems Applications Theory of Computation Computer Application in Administrative Data Processing Computer Application in Social and Behavioral Sciences |
| ISBN | 3-031-40286-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Engineering Research and Applications -- Knowing before Seeing: Incorporating Post-Retrieval Information into Pre-Retrieval Query Intention Classification -- LSRN: Live-Streaming Identification Based on Reasoning Network with Core Traffic Set -- Implicit Offensive Speech Detection Based on Multi-feature Fusion -- SIE-YOLOv5: Improved YOLOv5 for Small Object Detection in Drone-Captured-Scenarios -- Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy -- SNAFA-Net: Squared Normalization Attention and Feature Alignment for Visible-Infrared Person Re-identification -- A comparative study of chatbot response generation: traditional approaches versus large language models -- Investigating the Impact of Product Contours on User Perception of Product Attributes -- Conf-UNet: A model for speculation on unknown Oracle Bone Characters -- An Efficient One-Shot Network and Robust Data Associations in Multi-Pedestrian Tracking -- Sampling Spatial-Temporal Attention Network for Traffic Forecasting -- ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction -- Sparse-view CT Reconstruction via Implicit Neural Intensity Functions -- Tennis action recognition based on multi-branch mixed attention -- Cascade Sampling via Dual Uncertainty for Active Entity Alignment -- Template Shift and Background Suppression for Visual Object Tracking -- Reversible Data Hiding in Encrypted Images Based on A Multi-Granularity Adaptive Classification Mechanism -- Enhanced Entity Interaction Modeling for Multi-modal Entity Alignment -- Monte Carlo Medical Volume Rendering Denoising via Auxiliary Feature Guided Self-Attention and Convolution Integrated -- View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization -- HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning -- Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction -- DBA: An Efficient Approach to Boost Transfer-based Adversarial Attack Performance through Information Deletion -- A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction -- Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction -- WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction -- GMiRec: A Multi-image Visual Recommendation Model based on a Gated Neural Network -- Semi-supervised entity alignment via noisy student-based self training -- Modeling Chinese Ancient Book Catalog -- JOINT EXTRACTION OF NESTED ENTITIES AND RELATIONS BASED ON MULTI-TASK LEARNING -- A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization -- A Cognitive Knowledge Enriched Joint Framework for Social Emotion and Cause Mining -- TKSP: Long-term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge -- A Cross-Document Coreference Resolution Approach to Low-Resource Languages -- Network Flow Based IoT Anomaly Detection Using Graph Neural Network -- Disentangled Multi-factor Graph Neural Network for Non-coding RNA-drug Resistance Association Prediction. . |
| Record Nr. | UNISA-996546854203316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
| Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXIV, 471 p. 124 illus., 112 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Information technology - Management Social sciences - Data processing Application software Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Application in Administrative Data Processing Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications |
| ISBN | 3-031-40292-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Emerging technologies for Knowledge science, engineering and management -- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering -- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics -- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds -- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark -- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning -- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models -- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning -- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios -- Research on remote sensing image classification based on Transfer learning and Data Augmentation -- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism -- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning -- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation -- Are GPT Embeddings Useful for Ads and Recommendation? -- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models -- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach -- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue -- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation -- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization -- Recent Progress on Text Summarisation Based on BERT and GPT -- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization -- A Legal Multi-Choice Question Answering Model Based on BERT and Attention -- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term -- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification -- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification -- Learning Category Discriminability for Active Domain Adaptation -- Multi-Level Contrastive Learning for Commonsense Question Answering -- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model -- Univarite Time Series Forecasting via Interactive Learning -- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge -- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries -- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction -- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge -- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning -- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction -- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer -- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability -- RFLSem: A lightweight model for textual sentiment analysis. |
| Record Nr. | UNINA-9910741165603321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part III / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
| Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part III / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXIV, 438 p. 120 illus., 115 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Information technology - Management Social sciences - Data processing Application software Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Application in Administrative Data Processing Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications |
| ISBN | 3-031-40289-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Management Systems -- Explainable Multi-type Item Recommendation System based on Knowledge Graph -- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction -- MVARN: Multi-view attention relation network for figure question answering -- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation -- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM -- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification -- Multi-Display Graph Attention Network for Text Classification -- Debiased Contrastive Loss for Collaborative Filtering -- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization -- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering -- Hypergraph Enhanced Contrastive Learning for News Recommendation -- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs -- A Session Recommendation Model based on Heterogeneous Graph Neural Network -- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach -- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System -- Multi-level and Multi-interest User Interest Modeling for News Recommendation -- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation -- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning -- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation -- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation -- Heavy Weighting for Potential Important Clauses -- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation -- Multi-Path based Self-Adaptive Cross-Lingual Summarization -- Temporal Repetition Counting Based on Multi-Stride Collaboration -- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning -- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm -- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning -- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection -- Multi-task learning based skin segmentation -- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation -- Citation Recommendation Based on Knowledge Graph and Multi-task Learning -- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction -- The Minimal Negated Model Semantics of Assumable Logic Programs -- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation. |
| Record Nr. | UNINA-9910741138603321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part I / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
| Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part I / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXIV, 457 p. 124 illus., 108 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Social sciences - Data processing Computer science Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Application in Social and Behavioral Sciences Computer Science |
| ISBN | 3-031-40283-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Science with Learning and AI -- Joint Feature Selection and Classifier Parameter Optimization: A Bio-inspired Approach -- Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis -- Boosting LightWeight Depth Estimation Via Knowledge Distillation -- Graph Neural Network with Neighborhood Reconnection -- Critical Node Privacy Protection Based on Random Pruning of Critical Trees -- DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound -- Multitask-based Cluster Transmission for Few-Shot Text Classification -- Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties -- RTAD-TP: Real- Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two- Parameter Estimation -- Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction -- A Sparse Matrix Optimization Method for Graph Neural Networks Training -- Dual-dimensional Refinement of Knowledge Graph Embedding Representation -- Contextual Information Augmented Few-Shot Relation Extraction -- Dynamic and Static Feature-aware Microservices Decomposition via Graph Neural Networks -- An Enhanced Fitness-distance Balance Slime Mould Algorithm and Its Application in Feature Selection -- Low Redundancy Learning for Unsupervised Multi-view Feature Selection -- Dynamic Feed-Forward LSTM -- Black-box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge -- Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks -- Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion -- Subspace Clustering with Feature Grouping for Categorical Data -- Learning Graph Neural Networks on Feature-Missing Graphs -- Dealing with Over-reliance on Background Graph for Few-shot Knowledge Graph Completion -- Kernel-based feature extraction for time series clustering -- Cluster Robust Inference for embedding-based Knowledge Graph Completion -- Community-enhanced Contrastive Siamese networks for Graph Representation Learning -- Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention -- Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training -- An Improved Cross-Validated Adversarial Validation Method -- EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification -- Joint Label-Structure Estimation from Multifaceted Graph Data -- Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation -- Multi-Dimensional Graph Rule Learner -- MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs -- Robust Few-shot Graph Anomaly Detection via Graph Coarsening -- An Evaluation Metric for Prediction Stability with Imprecise Data -- Reducing The Teacher-Student Gap Via Elastic Student. |
| Record Nr. | UNISA-996546853603316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part I / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
| Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part I / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXIV, 457 p. 124 illus., 108 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Social sciences - Data processing Computer science Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Application in Social and Behavioral Sciences Computer Science |
| ISBN | 3-031-40283-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Science with Learning and AI -- Joint Feature Selection and Classifier Parameter Optimization: A Bio-inspired Approach -- Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis -- Boosting LightWeight Depth Estimation Via Knowledge Distillation -- Graph Neural Network with Neighborhood Reconnection -- Critical Node Privacy Protection Based on Random Pruning of Critical Trees -- DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound -- Multitask-based Cluster Transmission for Few-Shot Text Classification -- Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties -- RTAD-TP: Real- Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two- Parameter Estimation -- Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction -- A Sparse Matrix Optimization Method for Graph Neural Networks Training -- Dual-dimensional Refinement of Knowledge Graph Embedding Representation -- Contextual Information Augmented Few-Shot Relation Extraction -- Dynamic and Static Feature-aware Microservices Decomposition via Graph Neural Networks -- An Enhanced Fitness-distance Balance Slime Mould Algorithm and Its Application in Feature Selection -- Low Redundancy Learning for Unsupervised Multi-view Feature Selection -- Dynamic Feed-Forward LSTM -- Black-box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge -- Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks -- Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion -- Subspace Clustering with Feature Grouping for Categorical Data -- Learning Graph Neural Networks on Feature-Missing Graphs -- Dealing with Over-reliance on Background Graph for Few-shot Knowledge Graph Completion -- Kernel-based feature extraction for time series clustering -- Cluster Robust Inference for embedding-based Knowledge Graph Completion -- Community-enhanced Contrastive Siamese networks for Graph Representation Learning -- Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention -- Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training -- An Improved Cross-Validated Adversarial Validation Method -- EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification -- Joint Label-Structure Estimation from Multifaceted Graph Data -- Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation -- Multi-Dimensional Graph Rule Learner -- MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs -- Robust Few-shot Graph Anomaly Detection via Graph Coarsening -- An Evaluation Metric for Prediction Stability with Imprecise Data -- Reducing The Teacher-Student Gap Via Elastic Student. |
| Record Nr. | UNINA-9910741152703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Science, Engineering and Management [[electronic resource] ] : 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings / / edited by Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein
| Knowledge Science, Engineering and Management [[electronic resource] ] : 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings / / edited by Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 563 p. 150 illus.) |
| Disciplina | 006.33 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Information storage and retrieval Optical data processing Computer communication systems Artificial Intelligence Data Mining and Knowledge Discovery Computer Applications Information Storage and Retrieval Computer Imaging, Vision, Pattern Recognition and Graphics Computer Communication Networks |
| ISBN | 3-319-63558-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Learning from Non-stationary Distributions (Invited Speech) -- Contents -- Text Mining and Document Analysis -- Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations -- 1 Introduction -- 2 Related Work -- 3 Our Model -- 3.1 Parameter Estimation -- 3.2 Optimization Algorithm -- 4 Evaluation -- 4.1 Experimental Settings -- 4.2 Word Analogy -- 4.3 Word Similarity -- 4.4 Interpretability -- 5 Conclusion -- References -- A Study of Distributed Semantic Representations for Automated Essay Scoring -- 1 Introduction -- 2 Common Text Features -- 3 Semantic Representations for AES -- 3.1 Methods for Vector Representations -- 3.2 Semantic Features -- 4 Experimental Settings -- 4.1 Dataset -- 4.2 Evaluation Metrics and Learning Algorithms -- 5 Evaluation Design and Results -- 5.1 Evaluation Design -- 5.2 Evaluation Results -- 6 Conclusions and Future Work -- References -- Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification -- 1 Introduction -- 2 Related Work -- 3 Hidden Topic Analysis Model -- 4 Weakly Supervised Feature Compression Based ELDA -- 5 Experiment Results -- 5.1 Data Preparation -- 5.2 Performance Evaluation -- 5.3 Results with Different Topics -- 5.4 Results with Different Gibbs Sampling Iterations -- 6 Conclusion -- References -- An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 The Proposed Neural Network Model GABi-LSTM -- 3.1 Motivation -- 3.2 The Overview of Model Architecture -- 3.3 Word Representation with Gated Char- and Word- Embedding -- 3.4 Sentence Representation with Attention-Based Bi-LSTM -- 3.5 Linear Regression -- 3.6 Parameter Learning -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Measure.
4.3 Experimental Results -- 4.4 Comparison with the State-of-the-Art Systems -- 4.5 Qualitative Visualization Analysis -- 5 Concluding Remarks -- References -- A Hidden Astroturfing Detection Approach Base on Emotion Analysis -- 1 Introduction -- 2 Related Work -- 3 Hidden Astroturfing Detection Method -- 3.1 Data Preparation -- 3.2 Pre-processing Operations -- 3.3 Bag-of-Word Module Construction -- 3.4 Emotion Mining and Analysis -- 3.5 Matching -- 3.6 Summary -- 4 Experiment and Evaluation -- 4.1 Experiment Setup -- 4.2 Evaluation Result -- 5 Conclusion -- References -- Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection -- Abstract -- 1 Introduction -- 2 Problem Preliminaries -- 2.1 Correlation of Two Terms in a Text -- 2.2 Expected Cross Entropy -- 3 The Proposed Approach -- 3.1 Terming Weighting Method Based on Co-occurrence Distance -- 3.2 Feature Dictionary Construction -- 4 Experiments and Results Analysis -- 4.1 Data Sets and Evaluation Metrics -- 4.2 Experimental Results and Analysis -- 4.2.1 Comparison of Feature Dictionaries -- 4.2.2 Effect of Variation of Dictionary Size for Short Text Classification -- 4.2.3 Classification Performance of Different Feature Selection Methods -- 5 Conclusions and Future Work -- Acknowledgement -- References -- Formal Semantics and Fuzzy Logic -- A Fuzzy Logic Based Policy Negotiation Model -- 1 Introduction -- 2 Preliminaries -- 3 Model Definition -- 4 Fuzzy Rules -- 5 Experiment -- 6 Related Work -- 7 Conclusions -- References -- f-ALC(D)-LTL: A Fuzzy Spatio-Temporal Description Logic -- 1 Introduction -- 2 Spatial Fuzzy Description Logic -- 3 Fuzzy Spatio-Temporal Description Logic f-ALC(D)-LTL -- 3.1 Syntax -- 3.2 Models -- 4 Hintikka Structures for f-ALC(D)-LTL -- 5 Reasoning in f-ALC(D)-LTL -- 5.1 Tableau Rules -- 5.2 Tableau Construction. 5.3 Tableau Elimination -- 5.4 Correctness -- 6 Conclusion and Future Work -- References -- R-Calculus for the Primitive Statements in Description Logic ALC -- 1 Introduction -- 2 Description Logic ALC -- 3 R-Calculus for Subset-Minimal Change -- 3.1 SDL: R-Calculus for a Statement -- 3.2 SDL: R-Calculus for a Set of Statements -- 4 Conclusions and Further Works -- References -- A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model -- 1 Introduction -- 2 Preliminaries -- 2.1 Decision-Theoretic Rough Set Model -- 2.2 Three Kinds of Criteria in Decision-Theoretic Rough Set Model -- 3 Multi-objective Attribute Reduction in Decision-Theoretic Rough Set Model -- 3.1 Multi-objective Attribute Reduct -- 3.2 Multi-objective Attribute Reduction Algorithm -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Setting -- 4.3 Experimental Results -- 5 Conclusion -- References -- A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 4 Conclusion -- References -- Knowledge Management -- Analyzing Customer's Product Preference Using Wireless Signals -- 1 Introduction -- 2 Channel State Information -- 3 Analyzing Customer's Product Preference Using CSI -- 3.1 CSI Preprocessing -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Performance Evaluation -- 4.1 Experimental Methodology -- 4.2 Feasibility of Customer's Product Preference Analysis -- 5 Related Work -- 5.1 Device-Based Activity Sensing -- 5.2 Device-Free Activity Sensing Using WiFi -- 6 Conclusion -- References -- Improved Knowledge Base Completion by the Path-Augmented TransR Model -- 1 Introduction -- 2 Our Approach -- 2.1 Base Model: TransR -- 2.2 Path-Augmented TransR: PTransR -- 2.3 Training Details -- 3 Evaluation -- 3.1 Dataset -- 3.2 Experimental Settings -- 3.3 Overall Performance. 3.4 In-Depth Analysis and Discussion -- 4 Related Work -- 5 Conclusion -- References -- Balancing Between Cognitive and Semantic Acceptability of Arguments -- 1 Introduction -- 2 Preliminaries -- 3 Equilibrium-Based Resolutions -- 3.1 Semantic and Cognitive Acceptabilities -- 3.2 Satisfiability Resolution -- 3.3 Entailment Resolution -- 3.4 Semantic Equivalence Resolution -- 4 Generality and Applicability -- 4.1 Characterising Existence of Resolutions -- 4.2 Application Illustration in Online Forum -- 5 Conclusions and Discussion -- A Proofs -- References -- Discovery of Jump Breaks in Joint Volatility for Volume and Price of High-Frequency Trading Data in China -- Abstract -- 1 Introduction -- 2 Bivariate Normal Distribution -- 3 Realized Trading Volatility of Price and Volume -- 3.1 Price Volatility -- 3.2 Volume Volatility -- 3.3 Volatility Rate of Price and Volume of Realized Trading -- 4 The Jump Point Model for High-Frequency Trading Volatility Break -- 5 The Algorithm of Point-by-Point Test for Jump Critical Points -- 6 The Empirical Analysis of Jump Critical Points -- 7 Conclusion -- Acknowledgments -- References -- Device-Free Intruder Sensing Leveraging Fine-Grained Physical Layer Signatures -- 1 Introduction -- 2 Related Work -- 2.1 Gait Based Human Identification -- 2.2 WiFi Based Activity Recognition -- 3 System Design -- 3.1 Channel State Information Extration -- 3.2 Data Prepocessing -- 3.3 Step Analysis -- 3.4 Device-Free Intruder Sensing -- 4 Experimentation Evaluation -- 4.1 Equipment -- 4.2 Experimental Results -- 5 Conclusion -- References -- Understanding Knowledge Management in Agile Software Development Practice -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Knowledge Classifications -- 2.2 Prior Reviews on Knowledge Management in ASD -- 3 Review Method. 3.1 Planning the Review and Identifying Relevant Literature -- 3.2 Publication Selection -- 3.3 Data Extraction and Synthesis -- 4 Results -- 4.1 Agile Practices Supporting Knowledge Management -- 4.2 Knowledge Involved in Agile Practices -- 5 Discussion -- 5.1 Implications -- 5.2 Limitations -- 6 Conclusion -- Acknowledgement -- References -- Knowledge Integration -- Multi-view Unit Intact Space Learning -- 1 Introduction -- 2 The Proposed Model -- 2.1 Background -- 2.2 Multi-view Unit Intact Space Learning -- 3 Optimization -- 3.1 Update Latent Feature Vectors in Unit Intact Space -- 3.2 Update View Generation Matrices -- 3.3 Convergence Analysis -- 3.4 Complexity Analysis -- 4 Experiments -- 4.1 Datasets and Evaluation Measures -- 4.2 Parameter Analysis -- 4.3 Comparison Results -- 5 Conclusion -- References -- A Novel Blemish Detection Algorithm for Camera Quality Testing -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Methods Based on Image Filtering -- 2.2 Image Size Reduction by Scaling -- 2.3 Median Filtering -- 2.4 Image Subtraction -- 2.5 Thresholding -- 3 Novel Filtering Method -- 3.1 Influences of Image Noises -- 3.2 Proposed Multi-directional Median Filter -- 3.3 Adaptive Threshold with Bias -- 4 Results and Discussion -- 4.1 Low Noise Samples -- 4.2 High Noise Samples -- 5 Conclusion -- Acknowledgments -- References -- Learning to Infer API Mappings from API Documents -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Overview -- 3.2 Understanding API Documents -- 3.3 Computing Similarity Between APIs -- 4 Evaluation -- 4.1 Dataset -- 4.2 Experimental Settings -- 4.3 Results -- 5 Conclusion -- References -- Super-Resolution for Images with Barrel Lens Distortions -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Pretreatment Process -- 3.2 Training Stage -- 3.3 Testing Stage. 4 Experiments. |
| Record Nr. | UNISA-996466472203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Science, Engineering and Management : 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings / / edited by Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein
| Knowledge Science, Engineering and Management : 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings / / edited by Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 563 p. 150 illus.) |
| Disciplina | 006.33 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Information storage and retrieval systems Image processing - Digital techniques Computer vision Computer networks Artificial Intelligence Data Mining and Knowledge Discovery Computer and Information Systems Applications Information Storage and Retrieval Computer Imaging, Vision, Pattern Recognition and Graphics Computer Communication Networks |
| ISBN | 3-319-63558-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Learning from Non-stationary Distributions (Invited Speech) -- Contents -- Text Mining and Document Analysis -- Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations -- 1 Introduction -- 2 Related Work -- 3 Our Model -- 3.1 Parameter Estimation -- 3.2 Optimization Algorithm -- 4 Evaluation -- 4.1 Experimental Settings -- 4.2 Word Analogy -- 4.3 Word Similarity -- 4.4 Interpretability -- 5 Conclusion -- References -- A Study of Distributed Semantic Representations for Automated Essay Scoring -- 1 Introduction -- 2 Common Text Features -- 3 Semantic Representations for AES -- 3.1 Methods for Vector Representations -- 3.2 Semantic Features -- 4 Experimental Settings -- 4.1 Dataset -- 4.2 Evaluation Metrics and Learning Algorithms -- 5 Evaluation Design and Results -- 5.1 Evaluation Design -- 5.2 Evaluation Results -- 6 Conclusions and Future Work -- References -- Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification -- 1 Introduction -- 2 Related Work -- 3 Hidden Topic Analysis Model -- 4 Weakly Supervised Feature Compression Based ELDA -- 5 Experiment Results -- 5.1 Data Preparation -- 5.2 Performance Evaluation -- 5.3 Results with Different Topics -- 5.4 Results with Different Gibbs Sampling Iterations -- 6 Conclusion -- References -- An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 The Proposed Neural Network Model GABi-LSTM -- 3.1 Motivation -- 3.2 The Overview of Model Architecture -- 3.3 Word Representation with Gated Char- and Word- Embedding -- 3.4 Sentence Representation with Attention-Based Bi-LSTM -- 3.5 Linear Regression -- 3.6 Parameter Learning -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Measure.
4.3 Experimental Results -- 4.4 Comparison with the State-of-the-Art Systems -- 4.5 Qualitative Visualization Analysis -- 5 Concluding Remarks -- References -- A Hidden Astroturfing Detection Approach Base on Emotion Analysis -- 1 Introduction -- 2 Related Work -- 3 Hidden Astroturfing Detection Method -- 3.1 Data Preparation -- 3.2 Pre-processing Operations -- 3.3 Bag-of-Word Module Construction -- 3.4 Emotion Mining and Analysis -- 3.5 Matching -- 3.6 Summary -- 4 Experiment and Evaluation -- 4.1 Experiment Setup -- 4.2 Evaluation Result -- 5 Conclusion -- References -- Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection -- Abstract -- 1 Introduction -- 2 Problem Preliminaries -- 2.1 Correlation of Two Terms in a Text -- 2.2 Expected Cross Entropy -- 3 The Proposed Approach -- 3.1 Terming Weighting Method Based on Co-occurrence Distance -- 3.2 Feature Dictionary Construction -- 4 Experiments and Results Analysis -- 4.1 Data Sets and Evaluation Metrics -- 4.2 Experimental Results and Analysis -- 4.2.1 Comparison of Feature Dictionaries -- 4.2.2 Effect of Variation of Dictionary Size for Short Text Classification -- 4.2.3 Classification Performance of Different Feature Selection Methods -- 5 Conclusions and Future Work -- Acknowledgement -- References -- Formal Semantics and Fuzzy Logic -- A Fuzzy Logic Based Policy Negotiation Model -- 1 Introduction -- 2 Preliminaries -- 3 Model Definition -- 4 Fuzzy Rules -- 5 Experiment -- 6 Related Work -- 7 Conclusions -- References -- f-ALC(D)-LTL: A Fuzzy Spatio-Temporal Description Logic -- 1 Introduction -- 2 Spatial Fuzzy Description Logic -- 3 Fuzzy Spatio-Temporal Description Logic f-ALC(D)-LTL -- 3.1 Syntax -- 3.2 Models -- 4 Hintikka Structures for f-ALC(D)-LTL -- 5 Reasoning in f-ALC(D)-LTL -- 5.1 Tableau Rules -- 5.2 Tableau Construction. 5.3 Tableau Elimination -- 5.4 Correctness -- 6 Conclusion and Future Work -- References -- R-Calculus for the Primitive Statements in Description Logic ALC -- 1 Introduction -- 2 Description Logic ALC -- 3 R-Calculus for Subset-Minimal Change -- 3.1 SDL: R-Calculus for a Statement -- 3.2 SDL: R-Calculus for a Set of Statements -- 4 Conclusions and Further Works -- References -- A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model -- 1 Introduction -- 2 Preliminaries -- 2.1 Decision-Theoretic Rough Set Model -- 2.2 Three Kinds of Criteria in Decision-Theoretic Rough Set Model -- 3 Multi-objective Attribute Reduction in Decision-Theoretic Rough Set Model -- 3.1 Multi-objective Attribute Reduct -- 3.2 Multi-objective Attribute Reduction Algorithm -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Setting -- 4.3 Experimental Results -- 5 Conclusion -- References -- A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 4 Conclusion -- References -- Knowledge Management -- Analyzing Customer's Product Preference Using Wireless Signals -- 1 Introduction -- 2 Channel State Information -- 3 Analyzing Customer's Product Preference Using CSI -- 3.1 CSI Preprocessing -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Performance Evaluation -- 4.1 Experimental Methodology -- 4.2 Feasibility of Customer's Product Preference Analysis -- 5 Related Work -- 5.1 Device-Based Activity Sensing -- 5.2 Device-Free Activity Sensing Using WiFi -- 6 Conclusion -- References -- Improved Knowledge Base Completion by the Path-Augmented TransR Model -- 1 Introduction -- 2 Our Approach -- 2.1 Base Model: TransR -- 2.2 Path-Augmented TransR: PTransR -- 2.3 Training Details -- 3 Evaluation -- 3.1 Dataset -- 3.2 Experimental Settings -- 3.3 Overall Performance. 3.4 In-Depth Analysis and Discussion -- 4 Related Work -- 5 Conclusion -- References -- Balancing Between Cognitive and Semantic Acceptability of Arguments -- 1 Introduction -- 2 Preliminaries -- 3 Equilibrium-Based Resolutions -- 3.1 Semantic and Cognitive Acceptabilities -- 3.2 Satisfiability Resolution -- 3.3 Entailment Resolution -- 3.4 Semantic Equivalence Resolution -- 4 Generality and Applicability -- 4.1 Characterising Existence of Resolutions -- 4.2 Application Illustration in Online Forum -- 5 Conclusions and Discussion -- A Proofs -- References -- Discovery of Jump Breaks in Joint Volatility for Volume and Price of High-Frequency Trading Data in China -- Abstract -- 1 Introduction -- 2 Bivariate Normal Distribution -- 3 Realized Trading Volatility of Price and Volume -- 3.1 Price Volatility -- 3.2 Volume Volatility -- 3.3 Volatility Rate of Price and Volume of Realized Trading -- 4 The Jump Point Model for High-Frequency Trading Volatility Break -- 5 The Algorithm of Point-by-Point Test for Jump Critical Points -- 6 The Empirical Analysis of Jump Critical Points -- 7 Conclusion -- Acknowledgments -- References -- Device-Free Intruder Sensing Leveraging Fine-Grained Physical Layer Signatures -- 1 Introduction -- 2 Related Work -- 2.1 Gait Based Human Identification -- 2.2 WiFi Based Activity Recognition -- 3 System Design -- 3.1 Channel State Information Extration -- 3.2 Data Prepocessing -- 3.3 Step Analysis -- 3.4 Device-Free Intruder Sensing -- 4 Experimentation Evaluation -- 4.1 Equipment -- 4.2 Experimental Results -- 5 Conclusion -- References -- Understanding Knowledge Management in Agile Software Development Practice -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Knowledge Classifications -- 2.2 Prior Reviews on Knowledge Management in ASD -- 3 Review Method. 3.1 Planning the Review and Identifying Relevant Literature -- 3.2 Publication Selection -- 3.3 Data Extraction and Synthesis -- 4 Results -- 4.1 Agile Practices Supporting Knowledge Management -- 4.2 Knowledge Involved in Agile Practices -- 5 Discussion -- 5.1 Implications -- 5.2 Limitations -- 6 Conclusion -- Acknowledgement -- References -- Knowledge Integration -- Multi-view Unit Intact Space Learning -- 1 Introduction -- 2 The Proposed Model -- 2.1 Background -- 2.2 Multi-view Unit Intact Space Learning -- 3 Optimization -- 3.1 Update Latent Feature Vectors in Unit Intact Space -- 3.2 Update View Generation Matrices -- 3.3 Convergence Analysis -- 3.4 Complexity Analysis -- 4 Experiments -- 4.1 Datasets and Evaluation Measures -- 4.2 Parameter Analysis -- 4.3 Comparison Results -- 5 Conclusion -- References -- A Novel Blemish Detection Algorithm for Camera Quality Testing -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Methods Based on Image Filtering -- 2.2 Image Size Reduction by Scaling -- 2.3 Median Filtering -- 2.4 Image Subtraction -- 2.5 Thresholding -- 3 Novel Filtering Method -- 3.1 Influences of Image Noises -- 3.2 Proposed Multi-directional Median Filter -- 3.3 Adaptive Threshold with Bias -- 4 Results and Discussion -- 4.1 Low Noise Samples -- 4.2 High Noise Samples -- 5 Conclusion -- Acknowledgments -- References -- Learning to Infer API Mappings from API Documents -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Overview -- 3.2 Understanding API Documents -- 3.3 Computing Similarity Between APIs -- 4 Evaluation -- 4.1 Dataset -- 4.2 Experimental Settings -- 4.3 Results -- 5 Conclusion -- References -- Super-Resolution for Images with Barrel Lens Distortions -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Pretreatment Process -- 3.2 Training Stage -- 3.3 Testing Stage. 4 Experiments. |
| Record Nr. | UNINA-9910484354603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
