Knowledge Science, Engineering and Management

Table of Contents

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   Book Overview
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   Chapter 1 Multi-view Heterogeneous Network Embedding
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   Chapter 2 A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge
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   Chapter 3 Unsupervised Person Re-ID via Loose-Tight Alternate Clustering
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   Chapter 4 Sparse Dense Transformer Network for Video Action Recognition
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   Chapter 5 Deep User Multi-interest Network for Click-Through Rate Prediction
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   Chapter 6 Open Relation Extraction via Query-Based Span Prediction
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   Chapter 7 Relational Triple Extraction with Relation-Attentive Contextual Semantic Representations
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   Chapter 8 Mario Fast Learner: Fast and Efficient Solutions for Super Mario Bros
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    Chapter 9 Few-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering
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    Chapter 10 Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel
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    Chapter 11 Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation
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    Chapter 12 Topic and Reference Guided Keyphrase Generation from Social Media
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    Chapter 13 DISEL: A Language for Specifying DIS-Based Ontologies
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    Chapter 14 MSSA-FL: High-Performance Multi-stage Semi-asynchronous Federated Learning with Non-IID Data
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    Chapter 15 A GAT-Based Chinese Text Classification Model: Using of Redical Guidance and Association Between Characters Across Sentences
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    Chapter 16 Incorporating Explanations to Balance the Exploration and Exploitation of Deep Reinforcement Learning
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    Chapter 17 CLINER: Clinical Interrogation Named Entity Recognition
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    Chapter 18 CCDC: A Chinese-Centric Cross Domain Contrastive Learning Framework
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    Chapter 19 A Multi-objective Optimization Method for Joint Feature Selection and Classifier Parameter Tuning
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    Chapter 20 Word Sense Disambiguation Based on Memory Enhancement Mechanism
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    Chapter 21 A Spatial Interpolation Using Clustering Adaptive Inverse Distance Weighting Algorithm with Linear Regression
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    Chapter 22 Deep Neural Factorization Machine for Recommender System
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    Chapter 23 Adaptive Spatial-Temporal Convolution Network for Traffic Forecasting
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    Chapter 24 Structural and Temporal Learning for Dropout Prediction in MOOCs
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    Chapter 25 Document-Level Multi-event Extraction via Event Ontology Guiding
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    Chapter 26 Integrating Global Features into Neural Collaborative Filtering
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    Chapter 27 A Link Prediction Method Based on Graph Neural Network Using Node Importance
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    Chapter 28 Proposal of a Method for Creating a BPMN Model Based on the Data Extracted from a DMN Model
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    Chapter 29 PartKG2Vec: Embedding of Partitioned Knowledge Graphs
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    Chapter 30 SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts
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    Chapter 31 Tree Edit Distance Based Ontology Merging Evaluation Framework
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    Chapter 32 Designing a Model of Driving Scenarios for Autonomous Vehicles
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    Chapter 33 Ride-Hailing Order Matching and Vehicle Repositioning Based on Vehicle Value Function
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    Chapter 34 District-Coupled Epidemic Control via Deep Reinforcement Learning
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    Chapter 35 Multi-modal Face Anti-spoofing Using Channel Cross Fusion Network and Global Depth-Wise Convolution
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    Chapter 36 A Survey of Pretrained Language Models
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    Chapter 37 Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization
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    Chapter 38 Scientific Item Recommendation Using a Citation Network
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    Chapter 39 LAM: Lightweight Attention Module
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    Chapter 40 Sentiment Analysis Based on Deep Learning in E-Commerce
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    Chapter 41 An Interpretability Algorithm of Neural Network Based on Neural Support Decision Tree
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    Chapter 42 Towards Better Personalization: A Meta-Learning Approach for Federated Recommender Systems
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    Chapter 43 A BERT-Based Two-Stage Ranking Method for Legal Case Retrieval
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    Chapter 44 Towards Explainable Reinforcement Learning Using Scoring Mechanism Augmented Agents
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    Chapter 45 ACRM: Integrating Adaptive Convolution with Recalibration Mechanism for Link Prediction
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    Chapter 46 Bridging Signals and Human Intelligence
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    Chapter 47 Deep Learning-Based Sentiment Analysis for Predicting Financial Movements
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    Chapter 48 Student Behavior Analysis and Performance Prediction Based on Blended Learning Data
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    Chapter 49 Multi-objective Beetle Swarmoptimization for Portfolio Selection
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    Chapter 50 A New K-Multiple-Means Clustering Method
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    Chapter 51 Cross Transformer Network for Scale-Arbitrary Image Super-Resolution
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    Chapter 52 EEG Emotion Classification Using 2D-3DCNN
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    Chapter 53 BLSHF: Broad Learning System with Hybrid Features
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    Chapter 54 Multi-Attention Relation Network for Figure Question Answering
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    Chapter 55 Multi-layer LSTM Parallel Optimization Based on Hardware and Software Cooperation