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1
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An Adversarial Training Method for Improving Model Robustness in Unsupervised Domain Adaptation
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1
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A Semantic Textual Similarity Calculation Model Based on Pre-training Model
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1
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Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-sourse Information
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2
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Extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data
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2
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Context-Aware Anomaly Detection in Attributed Networks
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2
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Representation Learning of Knowledge Graph with Semantic Vectors
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3
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An Efficient Hybrid Approach to Detecting and Correcting Auxiliary Word Errors in Chinese Text
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3
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Clustering Massive-Categories and Complex Documents via Graph Convolutional Network
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3
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Chinese Relation Extraction with Flat-Lattice Encoding and Pretrain-Transfer Strategy
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4
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Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks
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4
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English Cloze Test Based on BERT
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4
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Traffic Accident Prediction Methods Based on Multi-factor Models
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5
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An Automatic Method for Understanding Political Polarization Through Social Media
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5
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A Property-Based Method for Acquiring Commonsense Knowledge
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5
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Combining BERT and Multiple Embedding Methods with the Deep Neural Network for Humor Detection
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6
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An Efficient Link Prediction Model in Dynamic Heterogeneous Information Networks Based on Multiple Self-attention
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6
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An Improved Convolutional Neural Network Based on Noise Layer
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6
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Multi-hop Learning Promote Cooperation in Multi-agent Systems
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7
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A Clustering-Prediction Pipeline for Customer Churn Analysis
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7
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Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction
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7
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FedPS: Model Aggregation with Pseudo Samples
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8
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Fine-Grained Unbalanced Interaction Network for Visual Question Answering
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8
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A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition
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8
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Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential
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9
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Swarm Intelligence-Based Feature Selection: An Improved Binary Grey Wolf Optimization Method
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9
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Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification
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9
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Traffic Route Planning in Partially Observable Environment Using Actions Group Representation
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10
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Integrating Real-Time Entity Resolution with Top-<italic>N</italic> Join Query Processing
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10
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Bayesian Belief Network Model Using Sematic Concept for Expert Finding
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10
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Community Detection in Dynamic Networks: A Novel Deep Learning Method
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11
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Incorporating Question Information to Enhance the Performance of Automatic Short Answer Grading
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11
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Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between
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11
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Additive Noise Model Structure Learning Based on Rank Statistics
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12
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Integrating Task Information into Few-Shot Classifier by Channel Attention
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12
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The Novel Efficient Transformer for NLP
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12
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A MOOCs Recommender System Based on User’s Knowledge Background
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13
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Rumor Verification on Social Media with Stance-Aware Recursive Tree
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13
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Joint Entity and Relation Extraction for Long Text
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13
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TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs
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14
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Aspect and Opinion Terms Co-extraction Using Position-Aware Attention and Auxiliary Labels
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14
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Evaluating Dataset Creation Heuristics for Concept Detection in Web Pages Using BERT
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14
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Representing Knowledge Graphs with Gaussian Mixture Embedding
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15
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Beyond Laplacian Smoothing for Semi-supervised Community Detection
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15
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Panoptic-DLA: Document Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model
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15
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A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection
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16
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Landscape-Enhanced Graph Attention Network for Rumor Detection
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16
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Improving Answer Type Classification Quality Through Combined Question Answering Datasets
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16
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Named Entity Recognition Based on Reinforcement Learning and Adversarial Training
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17
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An Overview of Methods for Acquiring and Generating Decision Models
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17
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Improved Partitioning Graph Embedding Framework for Small Cluster
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17
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FOBA: Flight Operation Behavior Analysis Based on Hierarchical Encoding
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18
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Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion
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18
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A Framework of Data Fusion Through Spatio-Temporal Knowledge Graph
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18
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An Event Detection Method Combining Temporal Dimension and Position Dimension
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19
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LogAttn: Unsupervised Log Anomaly Detection with an AutoEncoder Based Attention Mechanism
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19
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Local Feature Normalization
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19
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SEGAR: Knowledge Graph Augmented Session-Based Recommendation
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20
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DNEA: Dynamic Network Embedding Method for Anomaly Detection
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20
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Combining Knowledge with Attention Neural Networks for Short Text Classification
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20
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Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System
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21
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Adversarial Constraint Evaluation on Biomedical Text Mining
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21
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A Dialogue Contextual Flow Model for Utterance Intent Recognition in Multi-turn Online Conversation
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21
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An Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application
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22
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Enhanced Self-node Weights Based Graph Convolutional Networks for Passenger Flow Prediction
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22
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An Empirical Study on Effect of Semantic Measures in Cross-Domain Recommender System in User Cold-Start Scenario
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22
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GASKT: A Graph-Based Attentive Knowledge-Search Model for Knowledge Tracing
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23
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Interpretation of Learning-Based Automatic Source Code Vulnerability Detection Model Using LIME
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23
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Community Enhanced Course Concept Recommendation in MOOCs with Multiple Entities
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23
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Fragile Neural Network Watermarking with Trigger Image Set
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24
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Efficient Depth Completion Network Based on Dynamic Gated Fusion
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24
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AABC:ALBERT-BiLSTM-CRF Combining with Adapters
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24
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Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task
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25
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A Blockchain Based Framework for Smart Greenhouse Data Management
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25
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Q-Learning with Fisher Score for Feature Selection of Large-Scale Data Sets
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25
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A Research Study on Running Machine Learning Algorithms on Big Data with Spark
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26
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Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge
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26
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Attentional Neural Factorization Machines for Knowledge Tracing
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26
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The Modularity of Inconsistent Knowledge Bases with Application to Measuring Inconsistency
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27
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CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation Based on CelebA
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27
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Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order Proximities
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27
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Collaborative Embedding for Knowledge Tracing
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28
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Image Super-Resolution Based on Residual Block Dense Connection
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28
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Construction and Analysis of Cross-Regional Emergency Collaboration Network Model
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28
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EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
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29
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EGIM: Evolution Graph Based Interest Modeling for Click-Through Rate Prediction
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29
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Residual Gated Recurrent Unit-Based Stacked Network for Stock Trend Prediction from Limit Order Book
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29
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Knowledge Distillation via Channel Correlation Structure
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30
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Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data
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30
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A Social Attribute Inferred Model Based on Spatio-Temporal Data
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30
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Feature Interaction Convolutional Network for Knowledge Graph Embedding
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31
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Learning Resource Recommendation in E-Learning Systems Based on Online Learning Style
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31
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Chinese Judicial Summarising Based on Short Sentence Extraction and GPT-2
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31
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Towards a Modular Ontology for Cloud Consumer Review Mining
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32
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Alignment-Based Graph Network for Judicial Examination Task
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32
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Extracting Anomalous Pre-earthquake Signatures from Swarm Satellite Data Using EOF and PC Analysis
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32
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Identification of Critical Nodes in Urban Transportation Network Through Network Topology and Server Routes
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33
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Embedding-Based Network Alignment Using Neural Tensor Networks
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33
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Hierarchical Multi-label Text Classification: Self-adaption Semantic Awareness Network Integrating Text Topic and Label Level Information
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33
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Graph Ensemble Networks for Semi-supervised Embedding Learning
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34
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Detecting Parkinson’s Disease According to Gender Using Speech Signals