yusuke1997/dblp-id-title huggingface dataset:
AEKT: A Multi-dimensional Knowledge Tracing Model Integrating Student Cognitive Ability and Knowledge Acquisition
S-SimRank: Combining Content and Link Information to Cluster Papers Effectively and Efficiently
Dimensionality Reduction for Mass Spectrometry Data
Personalized Context-Aware QoS Prediction for Web Services Based on Collaborative Filtering
Organizing Structured Deep Web by Clustering Query Interfaces Link Graph
TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support
User Graph Regularized Pairwise Matrix Factorization for Item Recommendation
Exploiting Co-occurrence Opinion Words for Semi-supervised Sentiment Classification
Using Data Mining for Static Code Analysis of C
An Extractive Automatic Summarization Method for Chinese Long Text
DACI: An Index Structure Supporting Attributed Community Queries
Continuous Blood Pressure Dataset Featuring Arrhythmia and Diverse Baselines for Blood Pressure Estimation
Towards a Tricksy Group Shilling Attack Model against Recommender Systems
Multi-head Similarity Feature Representation and Filtration for Image-Text Matching
Harmonia: A Swift and Accurate Approximate Data Structure for Real-Time Heavy Flow Detection in High-Speed Networks
Correlate Influential News Article Events to Stock Quote Movement
A Comprehensive Categorization of DDoS Attack and DDoS Defense Techniques
Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs
Learning to Make Social Recommendations: A Model-Based Approach
LegalDuet: Learning Fine-Grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning
Feature Analysis for Duplicate Detection in Programming QA Communities
A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography
Incremental Discretization for Naïve-Bayes Classifier
TraffiX-MoE: A Traffic-Aware Neural VRP Solver
Automatic Inspection of Industrial Sheetmetal Parts with Single Non-metric CCD Camera
Balanced Knowledge Distillation with Open-Domain Unlabeled Data for Named Entity Recognition
Link Prediction with Reinforced Neighborhood Selection Guided for Heterogeneous Network
Data Quality in Privacy Preservation for Associative Classification
Exemplars-Constraints for Semi-supervised Clustering
A Genetic-Based Feature Construction Method for Data Summarisation
From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach
MUSE: Integrating Multi-Knowledge for Knowledge Graph Completion
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
GOD-CS: A New Grid-Oriented Dissection Clustering Scheme for Large Databases
A Chinese Hypernymy Detection Method Cross-Lingually Supervised by English Hypernymies
Inspired Rule-Based User Identification
Topic Discovery and Topic-Driven Clustering for Audit Method Datasets
Hand Bone Age Estimation Using Deep Convolutional Neural Networks
Nodes Deployment Optimization Algorithm Based on Energy Consumption of Underwater Wireless Sensor Networks
Comparing MapReduce-Based k-NN Similarity Joins on Hadoop for High-Dimensional Data
A Non-VSM kNN Algorithm for Text Classification
Stabilizing Linear Prediction Models Using Autoencoder
HVSM: A New Sequential Pattern Mining Algorithm Using Bitmap Representation
Identification of Targets in Disinformation News Articles Using Supervised Machine Learning
Exploiting Temporal Authors Interests via Temporal-Author-Topic Modeling
A Flexible Report Architecture Based on Association Rules Mining
A Fast Spectral Clustering Method Based on Growing Vector Quantization for Large Data Sets
Sequential Pattern Mining from Stream Data
Joint Extraction of Entities and Relations in the News Domain
UFL: Unlinkable Federated Learning Through Shuffle and Shamir's Secret Sharing
Chinese Blog Clustering by Hidden Sentiment Factors
TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization
Enhancing Privacy in Big Data Publishing: η-Inference Model
Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation
One Dependence Augmented Naive Bayes
Metric Learning Based Two-Stage Music Recommendation for Automatic Playlist Continuation
Spatial-Temporal Mamba Network for EEG-Based Motor Imagery Classification
Modeling and Mining the Rule Evolution
Boolean Algebra and Compression Technique for Association Rule Mining
TBRL: Trajectory-Based Reinforcement Learning for Flexible Job-Shop Scheduling Problem
Regional Food Culture Preference Mining Based on Restaurant POI
Key Issues and Theoretical Framework on Moving Objects Data Mining
Synchronous Prediction of Asset Prices' Multivariate Time Series Based on Multi-task Learning and Data Augmentation
The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure
A Two-Stage Filtering Approach for Video-Based Document Digitization
Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement
Social Knowledge-Driven Music Hit Prediction
Multiple Attribute Frequent Mining-Based for Dengue Outbreak
ESTD: Empathy Style Transformer with Discriminative Mechanism
Incremental Document Clustering Based on Graph Model
Label-Aware Hierarchical Contrastive Domain Adaptation for Cross-Network Node Classification
TKQ: Top-K Quantitative High Utility Itemset Mining
Image Captioning via Masked Conditional Diffusion
Semi-supervised Gaussian Process Regression and Its Feedback Design
A Study on Object Recognition Technology Using PCA in the Variable Illumination
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition
Visual Fingerprinting: A New Visual Mining Approach for Large-Scale Spatio-temporal Evolving Data
A New Multi-level Algorithm Based on Particle Swarm Optimization for Bisecting Graph
An Inference Acceleration Approach for Boosting DNN Cold Start in Cloud-Edge Computing
SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings
Modeling Outlier Score Distributions
Enhancing Multimedia Recommendation Through Item-Item Semantic Denoising and Global Preference Awareness
ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining
CRNN-SA: A Network Intrusion Detection Method Based on Deep Learning
Outlier Detection on Mixed-Type Data: An Energy-Based Approach
GEM-GNN: Group Enhanced Multi-relation Graph Neural Networks for Fraud Detection
A Distributed Node Clustering Mechanism in P2P Networks
Clustering Massive Text Data Streams by Semantic Smoothing Model
Discovering Collective Viewpoints on Micro-blogging Events Based on Community and Temporal Aspects
Mixed-Norm Regression for Visual Classification
Finding All Frequent Patterns Starting from the Closure
A Novel Component-Based Model and Ranking Strategy in Constrained Evolutionary Optimization
MAVI: MLLM-Enhanced Anomaly Validator and Interpreter for Astronomical Time Series
Role-Aware Enhanced Matching Network for Multi-turn Response Selection in Customer Service Chatbots
Collaborative Target Classification for Image Recognition in Wireless Sensor Networks
Attention-Based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting
Exploring Deep Belief Nets to Detect and Categorize Chinese Entities
Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias
A Framework for Clustering and Dynamic Maintenance of XML Documents
Hierarchical Text Classification for News Articles Based-on Named Entities
Spatio-Temporal Data Generation for Power Grid Scenarios Based on Conditional Diffusion Models
Decision Support System for Acupuncture Treatment of Ischemic Stroke
Recursive RNN Based Shift Representation Learning for Dynamic User-Item Interaction Prediction
Test the Overall Significance of p-values by Using Joint Tail Probability of Ordered p-values as Test Statistic
Image Classification Approach Based on Manifold Learning in Web Image Mining
Traditional PageRank Versus Network Capacity Bound
An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm
Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval
Predicting Subcellular Localization of Proteins Using Support Vector Machine with N-Terminal Amino Composition
TARtool: A Temporal Dataset Generator for Market Basket Analysis
Development and Application of Flight Parameter Data Analysis Based on Multi-text Timescale Alignment
EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain
CACS: A Novel Classification Algorithm Based on Concept Similarity
Learning Subgraph Structure with LSTM for Complex Network Link Prediction
Adaptformer: An Adaptive Multimodal Deep Decomposition Approach for Power Consumption Forecasting
Structure Correlation in Mobile Call Networks
Minimising K-Dominating Set in Arbitrary Network Graphs
Map Matching for Taxi GPS Data with Extreme Learning Machine
Fusion of Palmprint and Iris for Personal Authentication
Deep Architecture for Traffic Flow Prediction
Learning the Concept Embeddings of Ontology
CBPF: Leveraging Context and Content Information for Better Recommendations
MetricRec: Metric Learning for Cold-Start Recommendations
Achieving Absolute Privacy Preservation in Continuous Query Road Network Services
Evolution Analysis of a Mobile Social Network
Extracting High Profit Sequential Feature Groups of Products Using High Utility Sequential Pattern Mining
An Empirical Methodology to Analyze the Behavior of Bagging
Clustering Noisy Temporal Data
MSTDD: A Multi-scale Transformer Framework for Automatic Depression Detection
Fast Video Clip Retrieval Method via Language Query
Improved Grid Information Service Using the Idea of File-Parted Replication
The Coherence and Divergence Between the Objective and Subjective Measurement of Street Perceptions for Shanghai
A Multi-truth Discovery Approach Based on Confidence Interval Estimation of Truths
Enhancing Knowledge Tracing Through Problem-Learning History Comparison and Similarity-Driven Data Augmentation
GraSeq : A Novel Approximate Mining Approach of Sequential Patterns over Data Stream
Window-Controlled Sepsis Prediction Using a Model Selection Approach
PaD-DBSCAN: Enhancing Parallel DBSCAN Clustering with Density Peak Detection
A Heterogeneous Federated Learning Method Based on Dual Teachers Knowledge Distillation
An Approach for Identifying Author Profiles of Blogs
Real-Time Investigation of Flight Delays Based on the Internet of Things Data
A General Multi-relational Classification Approach Using Feature Generation and Selection
First Steps to an Audio Ontology-Based Classifier for Telemedicine
Brain CT Image with Motion Artifact Augmentation Based on PGGAN and FBP for Artifact Detection
DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution
Towards Idea Mining: Problem-Solution Phrase Extraction from Text
Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy
Constrained Energy Minimization for Hyperspectral Multi-target Detection Based on Ensemble Learning
A Spatio-Temporal Attention-Based GCN for Anti-money Laundering Transaction Detection
Multi-angle Evaluations of Test Cases Based on Dynamic Analysis
SSM: Semantic Selection and Multi-view Alignment for Image-Text Retrieval
Adaptive Prototype Network with Common and Discriminative Representation Learning for Few-Shot Relation Extraction
DALMO: A Dynamic Adjustment Lexicographic Multi-objective Approach to Mitigate Negative Side Effects in Multi-agent Systems
SL-TeaE: An Efficient Method for Improving the Precision of Teaching Evaluation
HM-QCNN: Hybrid Multi-branches Quantum-Classical Neural Network for Image Classification
Optimal Fuzzy Modeling Based on Minimum Cluster Volume
Quantum-Behaved Particle Swarm Optimization Clustering Algorithm
On Reducing the Bias of Random Forest
Automating Gene Expression Annotation for Mouse Embryo
Applications of Big Data in Tourism: A Survey
A Cluster-Based Approach to kNN Join Over Batch-Dynamic High-Dimensional Data
Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations
Market Sentiment Analysis Based on Social Media and Trading Volume for Asset Price Movement Prediction
Co-expression Gene Discovery from Microarray for Integrative Systems Biology
A Refinement Approach to Handling Model Misfit in Semi-supervised Learning
IRKT: Integrating Relationships from Internal Features and External Manifestations for Knowledge Tracing
Personalized Federated Learning with Robust Clustering Against Model Poisoning
SWET: A Dictionary-Assisted Multi-feature Fusion Symptom Entity Attribute Extraction Model
LDA-PSTR: A Topic Modeling Method for Short Text
Evaluating the Distance between Two Uncertain Categorical Objects
Mining Recent Frequent Itemsets in Data Streams by Radioactively Attenuating Strategy
Disentangled Causal Embedding with Unbiased Knowledge Distillation for Recommendation
An Approach to Mining Local Causal Relationships from Databases
Linear Belts Mining from Spatial Database with Mathematical Morphological Operators
Discovering Knowledge from Multi-relational Data Based on Information Retrieval Theory
An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data
ExMiner: An Efficient Algorithm for Mining Top-K Frequent Patterns
Enhanced Anomaly Detection in Cyber Security by Using Network Traffic Heat Maps
When Optimization Is Just an Illusion
Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory
Mining Correlated Rules for Associative Classification
An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting
An Efficient Algorithm for Mining Erasable Itemsets
Modified Particle Swarm Optimizer with Adaptive Dynamic Weights for Cancer Combinational Chemotherapy
Support Vector Regression with A Priori Knowledge Used in Order Execution Strategies Based on VWAP
Classifying Class and Finding Community in UML Metamodel Network
Transformer Based Driving Behavior Safety Prediction for New Energy Vehicles
A Transformer Based Malicious Traffic Detection Method in Android Mobile Networks
BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations
A Neighborhood Search Method for Link-Based Tag Clustering
Towards Normalizing the Edit Distance Using a Genetic Algorithms-Based Scheme
A Visual Interpretation-Based Self-improved Classification System Using Virtual Adversarial Training
Vertical and Sequential Sentiment Analysis of Micro-blog Topic
Time Series Forecasting on Engineering Systems Using Recurrent Neural Networks
LAANet: An Efficient Automatic Modulation Recognition Model Based on LSTM-Autoencoder and Attention Mechanism
Multi-View Gated Graph Convolutional Network for Aspect-Level Sentiment Classification
AGT2: Learning User Preferences for Next POI Recommendation via Adaptive Graph and Time Tree
STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction
Machine Unlearning Methodology Based on Stochastic Teacher Network
A Novel Approach for Noisy Signal Classification Through the Use of Multiple Wavelets and Ensembles of Classifiers
Automated Web Data Mining Using Semantic Analysis
RecKGC: Integrating Recommendation with Knowledge Graph Completion
Analysis of Metadata and Cough Signal Complexities in Tuberculosis Screening
A Rough-Apriori Technique in Mining Linguistic Association Rules
A Graph-Based Churn Prediction Model for Mobile Telecom Networks
ESNet: Perceptive Spatial-Spectral Fusion with Multi-stage Reconstruction for Pansharpening
Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning
RWEM: An In-Memory Random Walk Based Node Embedding Framework on Multiplex User-Item Graphs
Click Prediction for Product Search on C2C Web Sites
A Novel Variational Autoencoder with Multi-position Latent Self-attention and Actor-Critic for Recommendation
Make LLMs Perform Better in Knowledge Graph Completion Combined with RAG
Speed Up SVM Algorithm for Massive Classification Tasks
Leakage-Aware Energy Efficient Scheduling for Fixed-Priority Tasks with Preemption Thresholds
Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites
Cost Sensitive Classification in Data Mining
Improving the Link Prediction by Exploiting the Collaborative and Context-Aware Social Influence
BSI: A System for Predicting and Analyzing Accident Risk
Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction
FeaLearner: A Novel Framework of Self-Adaptive Feature Learning and Selection for Suicide Risk Detection from Users' Social Media Posts
Discriminatory Confidence Analysis in Pattern Mining
Self-Organizing Network Evolving Model for Mining Network Community Structure
Categorized Privacy Neuron Editing: Addressing Heterogeneity for Privacy Leakage Mitigation in Language Models
Learning with Local Drift Detection
Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage
Constructing Classification Rules Based on SVR and Its Derivative Characteristics
Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight
Tag Recommendation Based on Bayesian Principle
High-Quality Plane Wave Compounding Using Deep Learning for Hand-Held Ultrasound Devices
Group Recommender Model Based on Preference Interaction
Hybrid Semantic Analysis System - ATIS Data Evaluation
Global Balanced Text Classification for Stable Disease Diagnosis
Pessimistic Adversarially Regularized Learning for Graph Embedding
Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues
Location-Based Recommendation Using Incremental Tensor Factorization Model
Learning to Predict Shortest Path Distance
Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach
Separator: Sifting Hierarchical Heavy Hitters Accurately from Data Streams
Improved Algorithms for Zero Shot Image Super-Resolution with Parametric Rectifiers
Slice_OP: Selecting Initial Cluster Centers Using Observation Points
VisAR : A New Technique for Visualizing Mined Association Rules
Training Noise Robust Deep Neural Networks with Self-supervised Learning
Textual Cues for Online Depression in Community and Personal Settings
Improving Time Series Classification with Representation Soft Label Smoothing
Summarizing Semantic Associations Based on Focused Association Graph
Semi-supervised Dynamic Counter Propagation Network
Using Predicate-Argument Structures for Context-Dependent Opinion Retrieval
Mining User Position Log for Construction of Personalized Activity Map
Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-Influence Ordered-Pair Patterns
Standard Deviation Clustering Combined with Visual Psychological Test Algorithm for Image Segmentation
Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities
A Normal Distribution-Based Over-Sampling Approach to Imbalanced Data Classification
Influence Maximization Based Active Learning in Noisy Setting
Design and Implementation of Web Mining System Based on Multi-agent
A Genetic Algorithm Based Technique for Outlier Detection with Fast Convergence
HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform
A QoS-Aware Web Services Selection Model Using AND/OR Graph
Adapt the mRMR Criterion for Unsupervised Feature Selection
Research on Interactive Intent Recognition Based on Facial Expression and Line of Sight Direction
Discovering Skyline Periodic Itemset Patterns in Transaction Sequences
An Efficient Mining Algorithm of Closed Frequent Itemsets on Multi-core Processor
Causality-Guided Feature Selection
HOV 3 : An Approach to Visual Cluster Analysis
Ensemble of Unsupervised and Supervised Models with Different Label Spaces
Adversarial Learning for Topic Models
Emotional Earth Mover's Distance for Fine-Grained Hierarchical Emotion Analysis
CDPM: Finding and Evaluating Community Structure in Social Networks
Mining Least Relational Patterns from Multi Relational Tables
Efficiently Mining Co-Location Rules on Interval Data
A Criterion for Learning the Data-Dependent Kernel for Classification
A Uniform Framework of 3D Spatial Data Model and Data Mining from the Model
Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification
An Elastic Scalable Grouping for Stateful Operators in Stream Computing Systems
GCS-SegFormer: High Resolution Remote Sensing Segmentation Method Integrating Lightweight Attention
Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques
Automatically Identifying Tag Types
From IPs to Threat Groups: Community Detection on Rule-Enhanced Homology Graphs
Change a Sequence into a Fuzzy Number
Dynamic Growing Self-organizing Neural Network for Clustering
Combining Spatial Cloaking and Dummy Generation for Location Privacy Preserving
BBAC: Blockchain-Based Access Control Scheme for EHRs with Data Sharing Support
A Segment-Wise Method for Pseudo Periodic Time Series Prediction
A Local Seeding Algorithm for Community Detection in Dynamic Networks
Path-Aware Siamese Graph Neural Network for Link Prediction
EmoKnow: Emotion- and Knowledge-Oriented Model for COVID-19 Fake News Detection
Mining Natural Language Programming Directives with Class-Oriented Bayesian Networks
H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks
Word Segmentation and POS Tagging for Chinese Keyphrase Extraction
JCCM: Joint Cluster Communities on Attribute and Relationship Data in Social Networks
Song-to-Video Translation: Writing a Video from Song Lyrics Based on Multimodal Pre-training
Fast Discovery of Time-Constrained Sequential Patterns Using Time-Indexes
Efficient Computation of Measurements of Correlated Patterns in Uncertain Data
Secure Why-Not Spatial Keyword Top-k Queries in Cloud Environments
SpMVNet: Spatial Multi-view Network for Head and Neck Organs at Risk Segmentation
Unfolding the Mixed and Intertwined: A Multilevel View of Topic Evolution on Twitter
Mining Interesting Association Rules in Medical Images
A Personalized Travel System Based on Crowdsourcing Model
CinHBa: A Secondary Index with Hotscore Caching Policy on Key-Value Data Store
SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems
Timeline Analysis of Web News Events
Exploratory Factor Analysis Approach for Understanding Consumer Behavior toward Using Chongqing City Card
Cost-Sensitive Decision Tree for Uncertain Data
HN - Sim : A Structural Similarity Measure over Object-Behavior Networks
SQL Injection Behavior Mining Based Deep Learning
Improving Web Search by Categorization, Clustering, and Personalization
Privacy Lost in Online Education: Analysis of Web Tracking Evolution
Noise-Free Contrastive Learning for Knowledge Tracing
Sequential Pattern Mining for Protein Function Prediction
Disease Risk Control Algorithm Integrating Feature Selection and Oversampling Under the Neyman-Pearson Paradigm
Handling Missing Data with Markov Boundary
Dimensionally Reduction: An Experimental Study
Incremental Learning by Heterogeneous Bagging Ensemble
Advanced Data Mining and Applications, 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings
Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach
PCG: An Efficient Method for Composite Pattern Matching over Data Streams
Local Community Extraction for Non-overlapping and Overlapping Community Detection
Graph Structural Mining in Terrorist Networks
Indexing the Function: An Efficient Algorithm for Multi-dimensional Search with Expensive Distance Functions
DeMRC: Dynamically Enhanced Multi-hop Reading Comprehension Model for Low Data
Residual Belief Propagation for Topic Modeling
Clustering Mixed Data Based on Evidence Accumulation
Integrating Local One-Class Classifiers for Image Retrieval
Predicting the Survival Status of Cancer Patients with Traditional Chinese Medicine Symptom Variation Using Logistic Regression Model
LLM-Augmented Spatio-Temporal Graph Learning for POI Recommendation