yusuke1997/dblp-id-title huggingface dataset:
Second International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2021, Tartu, Estonia, November 15-17, 2021
Detection of Conflicts, Contradictions and Inconsistencies in Regulatory Documents: A Literature Review
SiloSolver: Developing an Algorithm for Automatic Aggregation and Testing of Isolated Customer Segments in Facebook Ads Campaigns
Using Machine Learning for malware traffic prediction in IoT networks
Reinforcement Learning Based Approach For Urban Resource Allocation and Path Planning Problems
On the Development of Mobile Application Breathing Analyzer to Detect Breathing Abnormalities
The Impact of Artificial Intelligence on the Labor Market in the Arab Gulf Region
Extreme learning machine with confidence interval based bias initialization
Identifying Candidate Pages for Shortcuts in a Website for Site Personalization and Adaptation
Using K-means Clustering Ensemble to Improve the Performance in Recommender Systems
Using Transfer Learning in Building Federated Learning Models on Edge Devices
An Intelligent IoT-based Health Monitoring System
Discrete Sequencing for Demand Forecasting: A novel data sampling technique for time series forecasting
Improving the Classification Effectiveness of Network Intrusion Detection Using Ensemble Machine Learning Techniques and Deep Neural Networks
Marketing Channel Recommendations in Banking
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision
Keynote Speech 1: Integrating Big Data, Data Science and Cyber Security with Applications in Internet of Transportation and Infrastructures
Keynote Speech 1: Leveraging Cloud and Fog Computing for Real-Time Applications: Resource Allocation and Scheduling Issues
Performance Evaluation of Data Augmentation for Object Detection in XView Dataset
From Theory to Practice: Towards an OSINT Framework to Mitigate Arabic Social Cyber Attacks
Joint SCSP-LROM: A novel approach to detect Cerebrovascular Anomalies from EEG signals
Method for Analyzing Interactions in Pedagogical Environments using Environmental Sound Analysis
A Feature Selection Technique for Network Intrusion Detection based on the Chaotic Crow Search Algorithm
Keynote Speech 3: 6G - The Journey Towards a New Breeze of Cloud-Native Mobile Networking
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset
Assessing the Extent of AI Implementations in Arabic L2 Courses
Exploration of the Future of the Metaverse and Intelligent Cities
Evaluating the Robustness of ASR Systems in Adverse Acoustic Conditions
The Extent of Applying Meta-Learning in the Professional Diploma Program to Qualify Teachers in Universities
Towards an Explainable Approach for Insider Threat Detection: Constraint Network Learning
Examining the Accuracy of AI Detection Software Tools in Education
Robotic Hand-Eye Coordination Fusion
An Empirical Evaluation and Comparison of the Impact of MVVM and MVC GUI Driven Application Architectures on Maintainability and Testability
Architecture Description Framework For Data-Intensive Applications
Estimating Deforestation using Machine Learning Algorithms
Machine Learning Based Preemptive Diagnosis of Parkinson's Disease Using Saudi Clinical Data: A Preliminary Case Study on Saudi Arabia Dataset
TAGIFY: LLM-powered Tagging Interface for Improved Data Findability on OGD portals
A Defect Detection Model for Imbalanced Wafer Image Data Using CAE and Xception
A Smart Network Intrusion Detection System for Cyber Security of Industrial IoT
Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences
Predicting B2B Customer Churn using a Time Series Approach
Fourth International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2023, Kuwai, Kuwait, October 24-26, 2023
Intelligent Transportation Systems Based on Blockchain Smart Contract Technology in Supply Chain Management
Experimental Application of Self-organizing Feature Maps and Principal Component Analysis for Generator Condition Assessment
Identification of Botnet Activity in IoT Network Traffic Using Machine Learning
Towards a Learning-enabled Virtual Sensor Forensic Architecture Compliant with Edge Intelligence
CDD & CloudNet: A Benchmark Dataset & Model for Object Detection Performance
Combination of Genetic Algorithm and Neural Network for Independent Game Playing
Deep Federated Learning for IoT to Improve Healthcare Operations
The role of digital stories in developing reading comprehension skills from the perspective of Arabic language teachers in elementary stage in Jordan
Modular Simulation Environment Towards OTN AI-based Solutions
Performance Evaluation of Permissioned-based Personal Data Vault Implemented Using Hyperledger Fabric v2.x
Arabic Question Answering System for Information Retrieval on Large-scale Image Objects
Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration
Data Augmentation for Code Analysis
International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2020, Valencia, Spain (Online Event), October 19-22, 2020
Rules-Based Distracted Driving Detection System Using Facial Keypoints
Hybrid Dynamic Scheduling of MapReduce and Spark Services Based on the Profit Model in the Cloud Computing Platform
Advancing Wolof-French Sentence Translation: Comparative Analysis of Transformer-Based Models and Methodological Insights
A Mobile Application for IoT-Based Car Parking
Knowledge Graph Embedding for Detecting Brand Advocates in Online Social Networks
A Hybrid Surrogate Deep Learning Model for Actual Evapotranspiration Prediction
The Role of Emojis in Sentiment Analysis of Financial Microblogs
Arabic Web Page Classification with AraBert and Mixture vectorization Methods: Analysis Using K-NN, LSTM and Naive Bayes
A Hybrid Deep Learning Model for Emotion Detection in Emotion-sensitive Robo-advisors
Reliable Leukemia diagnosis and localization through Explainable Deep Learning
Model Driven Approach for Neural Networks
Predicting Students Performance in Online Courses using Classification Techniques
GreenMedNet: A computationally inexpensive hyperparameter optimised dual attention based insulin leaves categorization approach
Epileptic Seizure Detection Using Novel CNN with Residual Connections
Face Anti-spoofing based on Convolutional Neural Networks
Lung Cancer Survival Time Prediction Using Machine Learning and Deep Learning Techniques
Identification of accident risks using a semantic web approach
Securing Domain Name Systems with Blockchain
Impact of Running Dynamic/Static Scans on the Performance of an App Running in a GKE Clusters
Optimizing Multi-Class Classification in Educational Data with Ensemble Learning and Data Balancing Techniques
Digital health shopping assistant with React Native: a simple technological solution to a complex health problem
Differential Privacy Techniques for Healthcare Data
A Machine Learning based Approach to Reduce Behavioral Noise Problem in an Imbalanced Data: Application to a fraud detection
Select start point for ARF analysis
Optimized Intrusion Detection System for Attack Classification Using Machine Learning and Deep Learning Techniques
Using Recurrent Neural Networks to approximate orientation with Accelerometers and Magnetometers
Analysis Of Cyber Threat Detection And Emulation Using MITRE Attack Framework
Fast and Scalable Complex Network Descriptor Using PageRank and Persistent Homology
Empowering Small and Medium Enterprises (SMEs) through Artificial Intelligence
Dark Web Analytics: A Comparative Study of Feature Selection and Prediction Algorithms
Interpreting Image Super-Resolution in Artificial Neural Networks from Global and Local Views
Line Simplification for Efficient Approximate Join Queries On Big Geospatial Data
Image Retargeting Techniques Identification Using Supervised Deep Learning
Analysis of Federated Learning as a Distributed Solution for Learning on Edge Devices
Exploring Ranked Local Selectors for Stable Explanations of ML Models
Applying Long Short-Term Memory Networks to Model Elliott Wave Patterns for Improved Risk Management in High-Frequency Trading
Detecting Arabic Fake News Using Machine Learning
Estimating tropical forest stand volume using Sentinel-2A imagery
DeepTrace: Improving US Pandemic Health Care through Health Disparity Identification and Determinant Tracing
Detecting Hate Speech Against Athletes in Social Media
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection
Machine Learning Approaches for COVID-19 Forecasting
Medical Image-to-Image Translation with Spatial Self-Attention for Radiotherapy in Federated Learning
Practical web security testing: Evolution of web application modules and open source testing tools
A Comparison of Data-Driven and Traditional Approaches to Employee Performance Assessment
Keynote Speech 2: Intelligent Video Summary Generation: Current Challenges and Future Directions
Performance Comparison of Several Deep Learning-Based Object Detection Algorithms Utilizing Thermal Images
Hybrid scatter and ant search feature subset selection: applications in classification problems
Dynamic Threshold-Based Anomaly Detection in Photovoltaic Generation Time Series Using Statistical Methods
Bias Correction in Urban Building Energy Modeling for Chicago Using Machine Learning
'My Household' Application: A Smart Mobile Application for Household Management
Towards Arabic Multimodal Dataset for Sentiment Analysis
EEG-based Image Feature Extraction for Visual Classification using Deep Learning
Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can Save Your Business
Enhancing Safety in Autonomous Vehicles through Advanced AI-Driven Perception and Decision-Making Systems
Material and Cost estimation of a Customized Product based on the Customer's description
Improved YOLOv3-tiny Object Detector with Dilated CNN for Drone-Captured Images
ShoBeVODSDT: Shodan and Binary Edge based vulnerable open data sources detection tool or what Internet of Things Search Engines know about you
Pseudonym Tracking Certificateless Aggregate Signature Scheme for Preventing Replay Attacks in a Platoon of Vehicles
Detecting Distracted Drivers Using Convolutional Neural Networks
Toward Smart Internet of Things (IoT) for Apparel Retail Industry: Automatic Customer's Body Measurements and Size Recommendation System using Computer Vision Techniques
Keynote Speech 2: Extending the Data Science pipeline: Integrating Machine Learning into Edge Environments
A Decision Tree Approach to Customer Surveys
Evaluation of Tree Based Regression over Multiple Linear Regression for Non-normally Distributed Data in Battery Performance
Sememe Tree Prediction for English-Chinese Word Pairs
CSDQA: Diagram Question Answering in Computer Science
EK-BERT: An Enhanced K-BERT Model for Chinese Sentiment Analysis
A Survey of Question Answering over Knowledge Base
Adaptive Multilingual Representations for Cross-Lingual Entity Linking with Attention on Entity Descriptions
Exploiting Knowledge Embedding to Improve the Description for Image Captioning
Effectively Incorporating Knowledge in Open-Domain Dialogue Generation
Knowledge Augmented Inference Network for Natural Language Inference
Adversarial Training for Relation Classification with Attention Based Gate Mechanism
Geography-Enhanced Link Prediction Framework for Knowledge Graph Completion
Pattern Learning for Chinese Open Information Extraction
Path-Based Learning for Plant Domain Knowledge Graph
A QA Search Algorithm based on the Fusion Integration of Text Similarity and Graph Computation
IREE: A Fine-Grained Dataset for Chinese Event Extraction in Investment Research
Knowledge-Enhanced Classification: A Scheme for Identification of High-Quality Articles
Semantic Parsing for Multiple-relation Chinese Question Answering
KGSG: Knowledge Guided Syntactic Graph Model for Drug-Drug Interaction Extraction
Cross-Lingual Entity Linking in Wikipedia Infoboxes
Overview of CCKS 2018 Task 1: Named Entity Recognition in Chinese Electronic Medical Records
Link Prediction via Mining Markov Logic Formulas to Improve Social Recommendation
A Prompt-Based UIE Framework
Named Entity Recognition for Open Domain Data Based on Distant Supervision
GRU-RNN Based Question Answering Over Knowledge Base
Knowledge Graph Construction for Foreign Military Unmanned Systems
DiaKG: An Annotated Diabetes Dataset for Medical Knowledge Graph Construction
Basic Profiling Extraction Based on XGBoost
Context-Dependent Representation of Knowledge Graphs
Entity Subword Encoding for Chinese Long Entity Recognition
What Linguistic Information Does Reading Comprehension Require?
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy - 7th China Conference, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised Selected Papers
Learning Seq2Seq Model with Dynamic Schema Linking for NL2SQL
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction - 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings
Towards Personal Relation Extraction Based on Sentence Pattern Tree
TraConcept: Constructing a Concept Framework from Chinese Traffic Legal Texts
A Sentiment and Topic Model with Timeslice, User and Hashtag for Posts on Social Media
CN-StartEnd: A Chinese Event Base Recording Start and End for Everything
Proceedings of the Evaluation Tasks at the China Conference on Knowledge Graph and Semantic Computing (CCKS 2018), Tianjin, China, August 14-17, 2018
A Survey on Causal Discovery
Incorporating Complete Syntactical Knowledge for Spoken Language Understanding
RCWI: A Dataset for Chinese Complex Word Identification
Towards Answering Geography Questions in Gaokao: A Hybrid Approach
Content-Based Open Knowledge Graph Search: A Preliminary Study with OpenKG.CN
A Chemical Domain Knowledge-Aware Framework for Multi-view Molecular Property Prediction
Compound Property Prediction Based on Multiple Different Molecular Features and Ensemble Learning
Survey on Schema Induction from Knowledge Graphs
Diagram Question Answering with Joint Training and Bottom-Up and Top-Down Attention
Graph-Based Jointly Modeling Entity Detection and Linking in Domain-Specific Area
Enhance Both Text and Label: Combination Strategies for Improving the Generalization Ability of Medical Entity Extraction
Embedding Syntactic Tree Structures into CNN Architecture for Relation Classification
A Hybrid Method to Sentiment Analysis for Chinese Microblog
Attention-Based Event Relevance Model for Stock Price Movement Prediction
Optimization of Bit Matrix Index for Temporal RDF
The Method for Plausibility Evaluation of Knowledge Triple Based on QA
A Biaffine Attention-Based Approach for Event Factor Extraction
Multi-strategies Integrated Information Extraction for Scholar Profiling Task
A User Personality-Similarity Model for Personalized Followee Recommendation in SINA Microblog
Micro-blog User Community Detection by Focusing on Micro-blog Content and Community Structure
Unmanned Aerial Vehicle Knowledge Graph Construction with SpERT
Knowledge-Enhanced Collaborative Meta Learner for Long-Tail Recommendation
Product Prediction with Deep Neural Networks
MEED: A Multimodal Event Extraction Dataset
AliMe KBQA: Question Answering over Structured Knowledge for E-Commerce Customer Service
Strategies for Enhancing Generalization Ability of Communication Event Co-reference Resolution
CCKS 2022 - Evaluation Track - 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised Selected Papers
Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain
On Building a Knowledge Graph of Open Courses
A Semantic Similarity Computing Model based on Siamese Network for Duplicate Questions Identification
Knowledge-Aware Topological Networks for Recommendation
PatentMiner: Patent Vacancy Mining via Context-Enhanced and Knowledge-Guided Graph Attention
TGKG: New Data Graph Based on Game Ontology
A Dual-Classifier Model for General Fine-Grained Event Detection Task
Learning Global Representations for Document-Level Biomedical Relation Extraction
Multi-stage Knowledge Propagation Network for Recommendation
C-CLUE: A Benchmark of Classical Chinese Based on a Crowdsourcing System for Knowledge Graph Construction
Multi-task Feature Learning for Social Recommendation
On Robustness and Bias Analysis of BERT-Based Relation Extraction
Knowledge Base Completion by Learning to Rank Model
Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances
E-SKB: A Semantic Knowledge Base for Emergency
An Ensemble Model Based on Siamese Neural Networks for the Question Pairs Matching Task
Incorporating Multilingual Knowledge Distillation into Machine Translation Evaluation
ICRC-DSEDL: A Film Named Entity Discovery and Linking System Based on Knowledge Bases
MOOPer: A Large-Scale Dataset of Practice-Oriented Online Learning
Research on Salient Reasoning for Commonsense Knowledge
A Joint Embedding Method for Entity Alignment of Knowledge Bases
A Multiple Utterances based Neural Network Model for Joint Intent Detection and Slot Filling
IBRE: An Incremental Bootstrapping Approach for Chinese Appointment and Dismissal Relation Extraction
An Enhanced ESIM Model for Sentence Pair Matching with Self-Attention
Large Scale Semantic Relation Discovery: Toward Establishing the Missing Link Between Wikipedia and Semantic Network
Emerging Entity Discovery Using Web Sources
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning
Incorporating Domain and Range of Relations for Knowledge Graph Completion
A Conditional VAE-Based Conversation Model
Reinforcement Learning for Clue Selection in Web-Based Entity Translation Mining
A Mixed Method for Building the Uyghur and Chinese Domain Ontology
An Integrated Method of Semantic Parsing and Information Retrieval for Knowledge Base Question Answering
Tensor-Based Representation and Reasoning of Horn- SHOIQ SHOIQ Ontologies
Weibo-MEL, Wikidata-MEL and Richpedia-MEL: Multimodal Entity Linking Benchmark Datasets
Knowledge Base Completion via Rule-Enhanced Relational Learning
Type-Aware Open Information Extraction via Graph Augmentation Model
Data Augmentation Based on Pre-trained Language Model for Event Detection
Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence - 5th China Conference, CCKS 2020, Nanchang, China, November 12-15, 2020, Revised Selected Papers
Enhancing Embedding via Two-Level Features for Machine Reading Comprehension
Academic Field and Future Influence Prediction for Scholar Profile Construction
Structural Dependency Self-attention Based Hierarchical Event Model for Chinese Financial Event Extraction
Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention
Does BERT Know Which Answer Beyond the Question?
Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data - First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers
Towards Nested and Fine-Grained Open Information Extraction
Mining RDF Data for OWL2 RL Axioms
A Joint Model of Entity Linking and Predicate Recognition for Knowledge Base Question Answering
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers
A Translation Model-Based Question Answering Approach over Cross-Lingual Knowledge Graphs
Chinese Punctuation Prediction with Adaptive Attention and Dependency Tree
Financial Event Extraction of NEC Dataset Based on Pointer Network
Investigating the Parallel Tractability of Knowledge Graph Reasoning via Boolean Circuits
A Survey on Event Relation Identification
Obstetric Diagnosis Assistant via Knowledge Powered Attention and Information-Enhanced Strategy
Deep Learning for Knowledge-Driven Ontology Stream Prediction
CCKS 2021 - Evaluation Track - 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers
A Practical Framework for Evaluating the Quality of Knowledge Graph
Semantic Label Enhanced Named Entity Recognition with Incompletely Annotated Data
Detecting Spammers in Sina Micro-blog Based on Multiple Features
NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning
A Multi-modal System for Video Semantic Understanding
Joint Intent Detection and Slot Filling with Rules
Multimodal Representation Learning-Based Product Matching
Improving Question Answering over Knowledge Base with External Linguistic Knowledge
EBSD Grain Knowledge Graph Representation Learning for Material Structure-Property Prediction
Employing Multi-cues to Identify Event Factuality
Element Information Enhancement for Diagram Question Answering with Synthetic Data
Neural Fusion Model for Chinese Semantic Matching
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers
Multi-label Fine-Grained Entity Typing for Baidu Wikipedia Based on Pre-trained Model
Structured Design Solves Multiple Tables of NL2SQL
Incorporating Uncertainty of Entities and Relations into Few-Shot Uncertain Knowledge Graph Embedding
Boosting to Build a Large-Scale Cross-Lingual Ontology
LD2LD: Integrating, Enriching and Republishing Library Data as Linked Data
BSBM+: Extending BSBM to Evaluate Annotated RDF Features on Graph Databases
Hybrid Syntactic Graph Convolutional Networks for Chinese Event Detection
Object Clustering in Linked Data Using Centrality
REKA: Relation Extraction with Knowledge-Aware Attention
An Initial Ingredient Analysis of Drugs Approved by China Food and Drug Administration
ELETerm: A Chinese Electric Power Term Dataset
DSKG: A Deep Sequential Model for Knowledge Graph Completion
MMCRD: An Effective Algorithm for Deploying Monitoring Point on Social Network
A Joint Training Framework Based on Adversarial Perturbation for Video Semantic Tags Classification
A Survey on Table Question Answering: Recent Advances
Research on Knowledge Fusion Connotation and Process Model
Construction and Application of Teaching System Based on Crowdsourcing Knowledge Graph
Method Description for CCKS 2021 Task 3: A Classification Approach of Scholar Structured Information Extraction from HTML Web Pages
Hierarchical Modular Event Detection Based on Dependency Graph
A Graph-Based Approach to Incremental Classification in OWL 2 QL Ontology
A Coarse Pipeline to Solve Hierarchical Multi-answer Questions with Conditions
Integrating Manifold Knowledge for Global Entity Linking with Heterogeneous Graphs
Regularizing Deep Text Models by Encouraging Competition
Cascaded Solution for Multi-domain Conditional Question Answering with Multiple-Span Answers
FGN: Fusion Glyph Network for Chinese Named Entity Recognition
A Pipeline-Based Multimodal Military Event Argument Extraction Framework
Learning to Answer Complex Visual Questions from Multi-View Analysis
Multi-modal Representation Learning with Self-adaptive Threshold for Commodity Verification
End-to-End Event Factuality Identification via Hybrid Neural Networks
High Quality Article Recognition Based on Ernie and Knowledge Mapping
Knowledge Graph Embedding for Link Prediction and Triplet Classification
Position Paper: The Unreliability of Language - A Common Issue for Knowledge Engineering and Buddhism
High-Quality Article Classification Based on Named Entities of Knowledge Graph and Multi-head Attention
Research on Construction and Automatic Expansion of Multi-source Lexical Semantic Knowledge Base
Domain-Specific Entity Discovery and Linking Task
Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence - Second China Conference, CCKS 2017, Chengdu, China, August 26-29, 2017, Revised Selected Papers
Named Entity Recognition and Event Extraction in Chinese Electronic Medical Records
A CWTM Model of Topic Extraction for Short Text
Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning