yusuke1997/dblp-id-title huggingface dataset:
Gaussian Model-Based Fully Convolutional Networks for Multivariate Time Series Classification
Maintenance of Range Skyline Query
Data Fusion of Multiple Spatio-Temporal Data Sources for Improved Localisation in Cellular Network
Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023
An Empirical Study of Deep Learning Frameworks for Melanoma Cancer Detection using Transfer Learning and Data Augmentation
Medical Entity Extraction from Health Insurance Documents
EEG-Based Person Recognition Analysis and Criticism
MM-GAN: 3D MRI Data Augmentation for Medical Image Segmentation via Generative Adversarial Networks
Reinforcement Learning Based Decision Tree Induction Over Data Streams with Concept Drifts
Multi-Round Parsing-based Multiword Rules for Scientific Knowledge Extraction
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
Risk Factor Analysis of Bone Mineral Density Based on Feature Selection in Type 2 Diabetes
Sentiment and Semantic Deep Hierarchical Attention Neural Network for Fine Grained News Classification
Decomposition and Combination-based Classifier Chains for Semi-Supervised Multi-Dimensional Classification
Graph Reachability Pruning: Adaptive Data Reduction for Inexact Subgraph Matching
Self-Knowledge Distillation from Target-Embedding AutoEncoder for Multi-Label Classification
Keynote I Cyber Security Meets Big Knowledge: Towards a Secure HACE Theorem
A Global Flight Networks Analysis Approach Using Markov Clustering and PageRank
DBkWik: A Consolidated Knowledge Graph from Thousands of Wikis
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering
Modeling Topic Evolution in Social Media Short Texts
Context-Aware Session-Based Recommendation with Graph Neural Networks
Online Multi-Label Classification with Scalable Margin Robust to Missing Labels
Multi-layer Big Knowledge Visualization Scheme for Comprehending Neoplasm Ontology Content
Learning Knowledge Embeddings with Prior Weights for Sparse Interaction Recommendation
Knowledge Graph for China's Genealogy
AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series
A divide-and-conquer method for computing preferred extensions of argumentation frameworks
Iteratively Multiple Projections Optimization for Product Quantization in Nearest Neighbor Search
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series
Dynamic Overlapping Community Discovery Based on Core Nodes
Incorporating Entity Correlation Knowledge into Topic Modeling
Prediction of Financial Big Data Stock Trends Based on Attention Mechanism
A Fast Relative Density Method Based on Space Partitioning
GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection
Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile
SUMSHINE: Scalable Unsupervised Multi-Source Heterogeneous Information Network Embeddings
Enhanced Private Decision Trees using Secure Multiparty Computation and Differential Privacy
Integrating Bi-Dynamic Routing Capsule Network with Label-Constraint for Text classification
Inductive Logic Programming for Explainable Graph Clustering
BiUCB: A Contextual Bandit Algorithm for Cold-Start and Diversified Recommendation
A Spectral Measure for Network Robustness: Assessment, Design, and Evolution
Language-agnostic Zero-shot Entity Linking via Entity Prototype Network
Self-Learning and Embedding Based Entity Alignment
Pre-trained Model Enhanced Contrastive Knowledge Graph Completion
BMNR: Design and Implementation a Benchmark for Metrics of Network Robustness
Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization
An Architecture and a Methodology Enabling Interoperability within and across Universities
GAIS: A Novel Approach to Instance Selection with Graph Attention Networks
A Novel Approach Based on Neural Networks and Support Vector Machine for Stock Price Pattern Discovery
Dynamic Relation Extraction with A Learnable Temporal Encoding Method
Weighted Transformer for Dialect Speech Recognition
Heterogeneous Dynamic Graph Attention Network
Global and Personalized Query Probability for Obfuscation-Based Web Search
Word Embedding Representation with Synthetic Position and Context Information for Relation Extraction
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems
On the Learning Capabilities of Recurrent Neural Networks: A Cryptographic Perspective
Enhancing Knowledge Graph Embedding with Relational Constraints
Sequence-Structure Embeddings via Protein Language Models Improve on Prediction Tasks
Distilling Business Value from COVID - 19 Public Media Dataset with Machine Learning and Natural Language Processing
Neural Restaurant-aware Dish Recommendation
Exploiting Nonlinear Relationships for Top-N Recommender Systems
Constructing COVID-19 Knowledge Graph from A Large Corpus of Scientific Articles
Large Language Model and Knowledge Graph Entangled Logical Reasoning
Deep Semantic-Enhanced Event Detection via Symmetric Graph Convolutional Network
Generation of New Bilingual Dictionaries Through Inference Techniques Supported by a Graph Oriented Database Management System
Unsupervised Keyword Extraction Method Based on Chinese Patent Clustering
2020 IEEE International Conference on Knowledge Graph, ICKG 2020, Online, August 9-11, 2020
Stance Detection with Target and Target Towards Attention
Nonlinear Cross-Domain Feature Representation Learning Method Based on Dual Constraints
An Empirical Study of Named Entity Recognition for Electronic Health Records
VREN: Volleyball Rally Dataset with Expression Notation Language
TDN: Twice-Least-Square Double-Parallel Neural Networks
Research on the Emergency Events Monitoring of Minsheng Hotline Based on Text
Multi-Kernel-FM: A Multi-Embedding & Kernelization Factorization Machine Framework for CTR Prediction
Sparse Tensor Decomposition for Multi-task Interaction Selection
2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018
Accident analysis for Port Terminals using Heterogeneous XAI-informed Machine Learning Approach
BSG-Net: A Blind Super-resolution Guided Network for Improving Ultrasound Image Segmentation
Unsupervised Spectral Feature Selection with Local Structure Learning
Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation
Graph Embedding Based Query Construction Over Knowledge Graphs
Chinese Medical Named Entity Recognition based on Expert Knowledge and Fine-tuning Bert
An Abnormal Data Analysis and Processing Method for Genealogy Graph Databases
Temporal Gate-Attention Network for Meta-path based Explainable Recommendation
Constructing the Simple Timeseries Event Model
Decomposing TripAdvisor: Detecting Potentially Fraudulent Hotel Reviews in the Era of Big Data
Online Streaming Feature Selection Based on Feature Interaction
Rule-enhanced Noisy Knowledge Graph Embedding via Low-quality Error Detection
TransP: A New Knowledge Graph Embedding Model by Translating on Positions *
Emotion Recognition from Facial Expressions and Contactless Heart Rate Using Knowledge Graph
Meta-path Enhanced Knowledge Graph Convolutional Network for Recommender Systems
Recurrent Neural Networks for Autoregressive Moving Average Model Selection
Self-Attention and Dynamic Convolution Hybrid Model for Neural Machine Translation
Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training
Vector-Degree: A General Similarity Measure for Co-location Patterns
Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification
Unfairness Discovery and Prevention For Few-Shot Regression
An Optimization-Based Truth Discovery Method with Claim Relation
Privacy-Preserving Pattern Mining on Online Density Estimates
Subject Event Extraction from Chinese Court Verdict Case via Frame-filling
BigFive: A Chinese Textual Dataset Supporting Psychology Knowledge Graph Construction
An Optimization Approach to Automatic Construction of Browsable Concept Index for Organizing Online Educational Content
Combining Deductive and Statistical Explanations in the FRANK Query Answering System
Depth Recovery from a Single Image Based on L0 Gradient Minimization
DENOASR: Debiasing ASRs through Selective Denoising
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking
Web Log Analysis in Genealogy System
Multi-label Classification Using Stacked Hierarchical Dirichlet Processes with Reduced Sampling Complexity
2019 IEEE International Conference on Big Knowledge, ICBK 2019, Beijing, China, November 10-11, 2019
Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information
Learning with Label Proportions Based on Adaptive Confidence and Instance Similarity
DiffXtract: Joint Discriminative Product Attribute-Value Extraction
Treatment Recommendation with Preference-based Reinforcement Learning
A New Online Feature Selection Method Using Neighborhood Rough Set
Relational Facts Extraction with Splitting Mechanism
Enhancing Network Alignment through Multi-Scale Information Fusion
Out-of-Distribution Detection with Prototype Similarity
Hierarchy-Aware Temporal Knowledge Graph Embedding
MedIE-Instruct: A Comprehensive Instruction Dataset for Medical Information Extraction
Network Analysis of Technology Stocks using Market Correlation
Temporal Analysis of Knowledge Networks
Emergency Events Classification Based on Minsheng Hotline Unbalanced Short-Text
A Machine Learning Approach to Detecting Start Reading Location of eBooks
B-SPARQL: A typed language for Querying the Big Knowledge
Deep Co-Investment Network Learning for Financial Assets
An OpenCV-based Framework for Table Information Extraction
Image Retrieval Based on Hierarchical Locally Constrained Diffusion Process
HfGCN: Hierarchical fused GCN for Joint Entity and Relation Extraction
SIRSYN: Improved Synthetic Sampling for Imbalanced Data Using SIR
Recommending Long-Tail Items Using Extended Tripartite Graphs
Query-focused Abstractive Summarization via Question-answering Model
A Behavior Sequence Clustering-Based Enterprise Network Anomaly Host Recognition Method
Unsupervised Feature Selection via Local Structure Learning and Self-Representation
Constrained Recurrent Bayesian Forecasting for Crack Propagation
Hybrid Framework of Convolution and Recurrent Neural Networks for Text Classification
ToFM: Topic-specific Facet Mining by Facet Propagation within Clusters
Rail Transit Event Extraction based on the Fusion of Semantic and Local Dependency Features
Meta Learning for Low-Data Prediction of Cancer-Specific Synthetic Lethality as Drug Targets
Trajectory Boosted Transformer Model and KG/LLM based μ-Genre for PV Offer/Content Type Arbitration
Subject extraction method of urban complaint data
TriNE: Network Representation Learning for Tripartite Heterogeneous Networks
Question-formed Query Suggestion
KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network
PZXG: A Genealogy Data Service Platform for Kinship Management and Application
GrMC: Towards Interpretable Classification Models That Are Also Accurate
LG-FAL: Locality-customized GSA Federated Active Learning
Confidence-Aware Negative Sampling Method for Noisy Knowledge Graph Embedding
Mining Place Design Knowledge from Multi-source Data in an Informed Design Platform
A Novel Three-Way Clustering Algorithm for Mixed-Type Data
Robust and Accurate Representation Learning for High-dimensional and Sparse Matrices in Recommender Systems
Coreference Resolution Improves Educational Knowledge Graph Construction
A Two-Stage Clustering Algorithm Based on Improved K-Means and Density Peak Clustering
A Study Case of Automatic Archival Research and Compilation using Large Language Models
Learning Dynamic Preference Structure Embedding From Temporal Networks
Fair Meta-Learning For Few-Shot Classification
Revisit Word Embeddings with Semantic Lexicons for Modeling Lexical Contrast
Aggregation Enhanced Graph Convolutional Network for Graph Classification
Research on Innovation of Management Concept of Urban Underground Pipelines Based on Big-Knowledge-Thinking in the Big Data Era
Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding
Fast Approximate Hubness Reduction for Large High-Dimensional Data
Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study
Scientific Workflow Recommendation Based on Service Knowledge Graph
Causal Structure Learning Algorithm Based on Streaming Features
Multihop: Leveraging Complex Models to Learn Accurate Simple Models
Generic Embedded Semantic Dictionary for Robust Multi-Label Classification
Transfer Naïve Bayes Learning using Augmentation and Stacking for SMS Spam Detection
Complicacy-Guided Parameter Space Sampling for Knowledge Discovery with Limited Simulation Budgets
Multi-task Classification Model Based On Multi-modal Glioma Data
Multi-label Learning Based on Label-Specific Feature Extraction
A Multi-granularity Genetic Algorithm
Matrix Profile XXXI: Motif Discovery Made Faster
Adversarial Graph Attention Network for Multi-modal Cross-Modal Retrieval
Analyzing Structure of Terrorist Networks by Using Graph Metrics
Multi-target Core Network-Based Networked Multi-label Classification
BlabKG: a Knowledge Graph for the Blue Amazon
Unsupervised Type Constraint Inference in Bilinear Knowledge Graph Completion Models
Language Modeling for Sentence Level Assessment: A Case Study of First-Year English Composition
HSNP-Miner: High Utility Self-Adaptive Nonoverlapping Pattern Mining
EntityLDA: A Topic Model for Entity Retrieval on Knowledge Graph
Machine Learning Models for Paraphrase Identification and its Applications on Plagiarism Detection
Big Data in Urban Construction Archives and Urban Management: Detected Underground Pipes Alignment with Urban Construction Records
The Short-Term Power Consumption Forecasting Based on the Portrait of Substation Areas
Content-based Art Recommendation Using Multimodal Graph Neural Networks
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
A survey on Optimisation-based Semi-supervised Clustering Methods
A Three-Dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting
Instance-Level Neural Feature Selection Based on Disentanglement Enhancement
SLMP: A Scientific Literature Management Platform Based on Large Language Models
LINKSOCIAL: Linking User Profiles Across Multiple Social Media Platforms
Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub
Fair Representation Learning in Knowledge-aware Recommendation
Distance Maximization and Defences on Deep Hashing Based Image Retrieval
Neural Collaborative Recommendation with Knowledge Graph
The k-Means Forest Classifier for High Dimensional Data
Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning
GAResNet: A Transfer Learning based Framework for Android Malware Detection
Adaptive domain of dynamic distribution based on manifold space
PRNSGA-II: A Novel Approach for Influence Maximization and Cost Minimization Based on NSGA-II
A Method for Discovering Novel Classes in Tabular Data
Graph Neural Network for Ethereum Fraud Detection
A Standardized, and Extensible Framework for Comparative Analysis of Quantitative Finance Algorithms - An Open-Source Solution, and Examples of Baseline Experiments with Discussion
A Roadmap to Domain Knowledge Integration in Machine Learning
TLRec: Transfer Learning for Cross-Domain Recommendation
IEEE International Conference on Big Knowledge, ICBK 2017, Hefei, China, August 9-10, 2017
Risk Assessment of Long Distance Oil and Gas Pipeline Based on Grey Clustering
BaKGraSTeC: A Background Knowledge Graph Based Method for Short Text Classification
Graph Modeling in Computer Assisted Automotive Development
Balanced Tree Partitioning with Succinct Logic
Continuous Path-Based Range Keyword Queries on Road Networks
Synonymous Entity Recognition Based on Feature Fusion
SDSK2BERT: Explore the Specific Depth with Specific Knowledge to Compress BERT
Deep Fusion Multi-View Hashing for Multimedia Retrieval
State Transition Pattern with Periodic Wildcard Gaps
FASE: Feature-Based Similarity Search on ECG Data
Siamese BERT Model with Adversarial Training for Relation Classification
Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis
Benchmarking Large Language Models for Image Classification of Marine Mammals
Surprisingness - A Novel Objective Interestingness Measure in Hypergraph Pattern Mining from Knowledge Graphs for Common Sense Learning
Robust Lifelong Multi-task Multi-view Representation Learning
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition
Certified Data Removal in Sum-Product Networks
Improve Graph Convolutional Network Performance via Incorporating Message Filter
Granger Causality for Multivariate Time Series Classification
Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data
Studying the Impact of Infrastructure on Cyclist Route Selection: Real-world Data Mining
Traffic Signal Classification with Cost-Sensitive Deep Learning Models
Approximate Single-Peakedness in Large Elections
Mixed-Copula VaR for Portfolio Risk Evaluation
Factored Proximity Models for Top-N Recommendations
An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks
A Hybrid Abnormal Advertising Traffic Detection Method
An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory
A Genetic Algorithm for Residual Static Correction
A Transfer Learning Based Boosting Model for Emotion Analysis
A Potential-Based Clustering Method by Fast Search and Find of Cluster Centers
A Novel Transformer-based Two Stage Framework for Multi-Label Image Classification
Discriminative Graph Autoencoder
GeLaiGeLai: A visual platform for analysis of Classical Chinese Poetry based on Knowledge Graph
Influence Maximization Using User Connectivity Guarantee in Social Networks
Towards an Improved Metric for Evaluating Disentangled Representations
Learning Question Similarity with Recurrent Neural Networks
Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests
Video Captioning with Semantic Information from the Knowledge Base
Postprocessing Ensemble Forecasts with Generative Adversarial Networks for Daily Precipitation
Context and Type Enhanced Representation Learning for Relation Extraction
Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation
GAFM: Learning the Weights of Feature Interaction via Graph Attentional Factorization Machine
Which Patient to Treat Next? Probabilistic Stream-Based Reasoning for Decision Support and Monitoring
Tensor-Train Parameterization for Ultra Dimensionality Reduction
Layer Sparse Transformer for Speech Recognition
Label Enhanced Event Detection with Collective Knowledge and Heterogeneous Graph
Micro-Level Incident Analysis using Spatial Association Rule Mining
Chinese Entity Relation Extraction Based on Syntactic Features
Topic-Guided Knowledge Graph Construction for Argument Mining
CEPV: A Tree Structure Information Extraction and Visualization Tool for Big Knowledge Graph
Recommendation with Generalized Logistic Transformation
An Efficient Application Traffic Signature Generation System
TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors
A Semi-supervised Bilingual Lexicon Induction Method for Distant Language Pairs Based on Bidirectional Adversarial Model
GAM-GCN: Decomposing Graph Convolutional Networks via Generalized Additive Models
Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology
Keyphrase Extraction Using Sequential Pattern Mining and Entropy
Principal Sample Analysis for Data Reduction
Learning Discrimination Specific, Self-Collaborative and Nonlinear Model
Clustering by peak merging
Clustering via Meta-path Embedding for Heterogeneous Information Networks
Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection
Client-Edge-Cloud Hierarchical Federated Learning Based on Generative Adversarial Networks
Heterogeneous Graph Neural Network based on Bandit Sampling for Attribute Completion
MTSC-GE: A Novel Graph based Method for Multivariate Time Series Clustering
Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System
A Hybrid Machine Learning Method for the De-identification of Un-Structured Narrative Clinical Text in Multi-center Chinese Electronic Medical Records Data
Weight-Agnostic Hierarchical Stick-Breaking Process
Collaborating LLMs and PLMs for Medical Tasks
Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining
An Efficient Framework for Multi-Label Learning in Non-stationary Data Stream
Improving Gradient-based DAG Learning by Structural Asymmetry
Short-Text Lexical Normalisation on Industrial Log Data
UFreS: A New Technique for Discovering Frequent Subgraph Patterns in Uncertain Graph Databases
Drug Drug Interaction Extraction from Chinese Biomedical Literature Using Distant Supervision
Event Extraction for Criminal Legal Text
A Method Study of Online Publication Time Extraction for Chinese Web News
HEGformer: Representation Learning on Heterogeneous Graph Neural Network with Efficient Transformer
A Quantum Tensor Network-Based Viewpoint for Modeling and Analysis of Time Series Data
Online Feature Selection for Streaming Features with High Redundancy Using Sliding-Window Sampling
Personalized Recommendation Based On Entity Attributes and Graph Features
ASRDataset: A Multi-granularity Shuffle System for Preparing Large-scale ASR Training Data
Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm
Multiple Anomaly Alignments on Network Traffics
Exploring Knowledge from Knowledge Graphs and Large Language Models for Link Prediction
CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data
Deep Reinforcement Learning for Greenhouse Climate Control
Mathematical Modeling on Computer Simulation
Programming and Designing Essentials of C Language and Object-oriented Language
The design of on-line item bank system based on cloud computing platform GAE
Multi-source data management on internet of city tunnels
Dynamic Binary User-Splits to Protect Cloud Servers from DDoS Attacks
Cloud computing: programming model and information exchange mechanism
Design of wireless transmission digital thermometer
Application and Development of Computer Technology in Quality Education
Improvement of Computer Technology on Education Reform
The construction of CPU-card-based e-card system for campus
Turbo IC/Decoding for Coded Multi-Carrier DS-CDMA
Study of chord model based on hybrid structure
Language recognition with language total variability
Application of Computer Technology in Sport Data Statistics
A Fast Static Index Pruning Algorithm
Analysis and Evaluation of Jammer Interference in LTE
CRM business cloud computing
Adaptive Load Balancing Algorithm Based on Prediction Model in Cloud Computing
A Community-Based Trust Management Framework in P2P Systems
Video based abnormal behavior detection
A Study on Linear Elastic FEM by Cloud Computing
Analysis of Computer Multi-angle Application and Its Technology Development
2013 The Second International Conference on Innovative Computing and Cloud Computing, ICCC '13, Wuhan, China - December 01 - 02, 2013
Load Balancing Forest Topology Generation Algorithm in Wireless Mesh Networks
On Sport Informatization under the Perspective of Education Informatization
Speed-Scaling-based Job/Tasks Deployment for Energy-efficient Datacenters in Cloud Computing
Security Protection Design and Multi-port Transport Technology in Computer Network
Transition Learning by Negative Correlation Learning