yusuke1997/dblp-id-title huggingface dataset:
A Multi-dimensional Trustworthy Behavior Monitoring Method Based on Discriminant Locality Preserving Projections
Chinese Comparative Sentence Identification Based on the Combination of Rules and Statistics
An Adaptive Collaborative Filtering Algorithm Based on Multiple Features
Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach
News Sentiment Analysis Based on Cross-Domain Sentiment Word Lists and Content Classifiers
Anomaly Aligned Subgraphs Detection on Multi-layer Attributed Networks
Using a Virtual Hospital for Piloting Patient Flow Decongestion Interventions
Knowledge Graph Quality Evaluation Under Incomplete Information
Mining Class Contrast Functions by Gene Expression Programming
Rethinking Transformer-Based Multi-Document Summarization: An Empirical Investigation
Endmember Extraction by Exemplar Finder
Semi-naive Bayesian Classification by Weighted Kernel Density Estimation
Effective Monotone Knowledge Integration in Kernel Support Vector Machines
Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters
Texture Image Retrieval Based on Contourlet Transform and Active Perceptual Similarity Learning
Differential Evolutionary for Label Ordering in Multi-label Classification
A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects
A New Improved Apriori Algorithm Based on Compression Matrix
A Study on the Mechanism of Virtual SAN-Based Spatial Data Storage with Double-Thoroughfare in Grid
Ensemble Image Super-Resolution CNNs for Small Data and Diverse Compressive Models
When Molecular GAN Meets Byte-Pair Encoding
Curvature-Based Knee Detection for Robust and Non-robust Features
Feature-Aware Unsupervised Detection of Important Nodes in Graphs
Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining
Heuristic Scheduling of Concurrent Data Mining Queries
Ensemble Learning Based Employment Recommendation Under Interaction Sparsity for College Students
Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises
Online Friends Recommendation Based on Geographic Trajectories and Social Relations
Smart Partitioning for Product DSM Model Based on Improved Genetic Algorithm
Confucius and "Its" Intelligent Disciples
Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach
Improving Angle Based Mappings
Handling Class Imbalance Problems via Weighted BP Algorithm
Discriminative Markov Logic Network Structure Learning Based on Propositionalization and chi 2 -Test
Mining Delay in Streaming Time Series of Industrial Process
A Comparative Study of Correlation Measurements for Searching Similar Tags
Knowledge Graph Completion with Information Adaptation and Refinement
Children's Speaker Recognition Method Based on Multi-dimensional Features
Hierarchical and Pairwise Document Embedding for Plagiarism Detection
SMIM Framework to Generalize High-Utility Itemset Mining
Text Learning and Hierarchical Feature Selection in Webpage Classification
Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part IV
CNGT: Co-attention Networks with Graph Transformer for Fact Verification
Individual Doctor Recommendation Model on Medical Social Network
Privacy and Utility Preservation for Location Data Using Stay Region Analysis
Joint Modeling of Local and Global Semantics for Contrastive Entity Disambiguation
Asymmetric Feature Selection for BGP Abnormal Events Detection
A Method for Data Exchange and Management in the Military Industry Field
Biologically Inspired Pattern Recognition for E-nose Sensors
TweeProfiles: Detection of Spatio-temporal Patterns on Twitter
SVIM: A Skeleton-Based View-Invariant Method for Online Gesture Recognition
Fair Re-Ranking Recommendation Based on Debiased Multi-graph Representations
Context-Augmented Contrastive Learning Method for Session-based Recommendation
Attention-Based Causal Graph Convolutional Collaborative Filtering
Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part I
An Adjustable Diversity Metric for Multimodal Multi-objective Evolutionary Algorithms
Boosting over Groups and Its Application to Acronym-Expansion Extraction
Multi-domain and Context-Aware Recommendations Using Contextual Ontological User Profile
Efficient Privacy-Preserving Data Mining in Malicious Model
Faster MaxScore Query Processing with Essential List Skipping
Knowledge Graph Link Prediction Model Based on Attention Graph Convolutional Network
Learning User Profiles from Text in e-Commerce
Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering
Spatial Filter Selection with LASSO for EEG Classification
A Communication-Concerned Federated Learning Framework Based on Clustering Selection
Rethinking the Evaluation of Deep Neural Network Robustness
AuCM: Course Map Data Analytics for Australian IT Programs in Higher Education
Local Linear Logistic Discriminant Analysis with Partial Least Square Components
Dynamic Reverse Furthest Neighbor Querying Algorithm of Moving Objects
Cybersecurity Analysis via Process Mining: A Systematic Literature Review
Diagnosis of Inverter Faults in PMSM DTC Drive Using Time-Series Data Mining Technique
Mining Good Sliding Window for Positive Pathogens Prediction in Pathogenic Spectrum Analysis
Multi-dimensional Sequential Pattern Mining Based on Concept Lattice
Suicide Risk Assessment Model Based on Fuzzy Mathematics
Cost-Sensitive Extreme Learning Machine
A Bottom-Up Sampling Strategy for Reconstructing Geospatial Data from Ultra Sparse Inputs
IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment
An Improved Rough Clustering Using Discernibility Based Initial Seed Computation
ConMix: Contrastive Learning with Mixup Augmentation for Dialogue Summarization
A Web Table Extraction Method Based on Structure and Ontology
A Collaborative Filtering Recommendation Method with Integrated User Profiles
Multi-grained Logical Graph Network for Reasoning-Based Machine Reading Comprehension
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I
A Similarity-Based Grouping Method for Molecular Docking in Distributed System
Clustering with Noising Method
SectorE: Knowledge Graph Embeddings with Representing Relations as Annular Sectors
Structured Sentiment Analysis
Deep Web Sources Classifier Based on DSOM-EACO Clustering Model
LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect
Bi-clustering Gene Expression Data Using Co-similarity
Efficient Gaussian Distance Transforms for Image Processing
A Hybrid Intelligent Model SFAHP-ANFIS-PSO for Technical Capability Evaluation of Manufacturing Enterprises
Noise-Robust Learning via Full Consistency
A Fast Algorithm for Maintenance of Association Rules in Incremental Databases
HGTPU-Tree: An Improved Index Supporting Similarity Query of Uncertain Moving Objects for Frequent Updates
Research on the Traffic Matrix Based on Sampling Model
A Multi-Strategy Approach to KNN and LARM on Small and Incrementally Induced Prediction Knowledge
Handling Concept Drift via Ensemble and Class Distribution Estimation Technique
Sparse-MoE: Syntax-Aware Multi-view Mixture of Experts for Long-Sequence Software Vulnerability Detection
FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia
When Alignment Makes a Difference: A Content-Based Variational Model for Cold-Start CTR Prediction
Neural Double Auction Mechanism
A New Algorithm for Enumerating All Maximal Cliques in Complex Network
Efficient Deployment and Mission Timing of Autonomous Underwater Vehicles in Large-Scale Operations
Robust Collective Classification with Contextual Dependency Network Models
Truth Discovery in Social Sensing Based on Propagation Pattern and Multi-Modal Semantic Consistency Analysis
Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier
KA-CDRE: Knowledge-Augmented Cross-Document Relation Extraction
McSOM: Minimal Coloring of Self-Organizing Map
Detecting Professional Spam Reviewers
Analyzing the Convergence of Federated Learning with Biased Client Participation
An Ensemble Approach for Better Truth Discovery
Domain-Aware Unsupervised Cross-dataset Person Re-identification
MAMRP: Multi-modal Data Aware Movie Rating Prediction
Pattern Mining, Semantic Label Identification and Movement Prediction Using Mobile Phone Data
Using Support Vector Regression for Classification
Deriving Public Sector Workforce Insights: A Case Study Using Australian Public Sector Employment Profiles
Mining Evolving Web Sessions and Clustering Dynamic Web Documents for Similarity-Aware Web Content Management
Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval
Mining Frequent Patterns from Network Data Flow
Graph Fusion Based Autoencoder for Node Clustering
Bridging the Interpretability Gap in Coupled Neural Dynamical Models
An Early Stage Identification of Cryptomining Behavior with DNS Requests
PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network
A Performance Study of Gaussian Kernel Classifiers for Data Mining Applications
MGCP: A Multi-View Diffusing Graphs Based Traffic Congestion Prediction for Roads Around Factory
Distributed Frequent Items Detection on Uncertain Data
A Hierarchical Model of Web Graph
Locally Discriminant Projection with Kernels for Feature Extraction
PromPredictor: A Hybrid Machine Learning System for Recognition and Location of Transcription Start Sites in Human Genome
Attack Type Prediction Using Hybrid Classifier
An Efficient Clustering Approach for Large Document Collections
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part VI
Distributed Industrial Digital Twinning Scheme in 6G Future Scenarios
I Know You Better: User Profile Aware Personalized Dialogue Generation
A Partition Clustering Algorithm for Transaction Database Based on FCM
Continuously Extracting High-Quality Representative Set from Massive Data Streams
Application of Decision-Tree Based on Prediction Model for Project Management
Predicting Product Duration for Adaptive Advertisement
Spatial Information Multi-grid for Data Mining
Semi-supervised Discriminant Analysis Based on Dependence Estimation
Multivariate Synchronization Index Based on Independent Component Analysis for SSVEP-Based BCI
Environmental Sound Recognition Using Masked Conditional Neural Networks
Mining Item Popularity for Recommender Systems
CTKM: Crypto-Based User Clustering on Web Transaction Data
Signal Classification Using Smooth Coefficients of Multiple Wavelets to Achieve High Accuracy from Compressed Representation of Signal
Correlation Analysis of Adversarial Attack in Time Series Classification
Temporal Katz Centrality Estimation with Temporal Graph Neural Networks
A Boosting Algorithm for Training from Only Unlabeled Data
Collaborative Filtering Recommendation Algorithm Using Dynamic Similar Neighbor Probability
Deep Trading: A Novel Framework for Trading in Volatile Markets
Adaptive Fault Resolution for Database Replication Systems
A Novel Adaptive Distribution Distance-Based Feature Selection Method for Video Traffic Identification
Logistic Regression Bias Correction for Large Scale Data with Rare Events
Distributed Lazy Association Classification Algorithm Based on Spark
View-Angle of Spatial Data Mining
Mining Fuzzy Moving Object Clusters
Autonomy-Oriented Computing (AOC), Self-organized Computability, and Complex Data Mining
Chinese New Word Detection from Query Logs
Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning
Real-Time Femoral Von Mises Stress Distribution Prediction via Graph Neural Networks
A Novel Face Detection Framework Based on Incremental Learning and Low Variance Directions
An Improved Optimization of Link-Based Label Propagation Algorithm
Mining Time-Delayed Coherent Patterns in Time Series Gene Expression Data
Cross-Modal Information Retrieval - A Case Study on Chinese Wikipedia
A Relevance Feedback-Based Approach for Non-TI Clustering
Mining Top-K Sequential Rules
A Hybrid-Sorting Semantic Matching Method
Attend2trend: Attention-Based LSTM Model for Detecting and Forecasting of Trending Topics
Identification of Grey Sheep Users by Histogram Intersection in Recommender Systems
A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery
A Comparative Study on Text Clustering Methods
Densely Connected Bidirectional LSTM with Max-Pooling of CNN Network for Text Classification
Learning and Mapping Academic Topic Evolution Evolving - Topics in the Australian National Disability Insurance Scheme
An Adaptive Federated Framework for Trustworthy Multimodal Cyberbullying Detection
High Utility Episode Mining Made Practical and Fast
Utility Enhancement for Privacy Preserving Health Data Publishing
Constrained Spectral Clustering Using Absorbing Markov Chains
Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series
A Method for Finding Groups of Related Herbs in Traditional Chinese Medicine
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression
Text Generation for Social Media Based on Generative Adversarial Networks : Focusing on Wellness Content
Research on Similarity Matching for Multiple Granularities Time-Series Data
Spectral Clustering-Based Semi-supervised Sentiment Classification
Joint Embedding of Local Structures and Evolutionary Patterns for Temporal Link Prediction
Managing Power Conservation in Wireless Networks
Resident-Based Store Recommendation Model for Community Commercial Planning
Classification Inductive Rule Learning with Negated Features
Popularity Forecasting for Emerging Research Topics at Its Early Stage of Evolution
Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree
Agent-Based Privacy Aware Feedback System
A Chinese Named Entity Recognition Method Based on Textual Information Perception Fusion
Towards Ontology-Enhanced Cloud Services Discovery
Topic Extraction with AGAPE
VisNetMiner: An Integration Tool for Visualization and Analysis of Networks
How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks
A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data
LEAP: An LLM-Based Evidence Augmented Pipeline for Table-Based Fact Verification
Orthogonal Centroid Locally Linear Embedding for Classification
Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis
Query Classification by Leveraging Explicit Concept Information
Constraint-Aware Multi-View Clustering via Graph Contrastive Learning
Mining Interesting Infrequent and Frequent Itemsets Based on MLMS Model
Learning from Video Game: A Study of Video Game Play on Problem-Solving
A Likelihood Probability-Based Online Summarization Ranking Model
Multiple Kernel Learning Improved by MMD
Label Correlation Guided Feature Selection for Multi-label Learning
Continuous Group Nearest Neighbor Query over Sliding Window
Querying and Mining Strings Made Easy
Stroke Locus Net: Occluded Vessel Localization from MRI Modalities
MRes-CNN: A Multi-branch Residual CNN for Colorectal Histopathological Image Classification
kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set
Enhancing Embedding and Hierarchical Reward Shaping for Multi-Hop Reasoning with Reinforcement Learning
Data Summarization Approach to Relational Domain Learning Based on Frequent Pattern to Support the Development of Decision Making
ChartGen-Agent: A Three-Stage Framework for Automated High-Quality Chart Generation
Precomputing Hybrid Index Architecture for Flexible Community Search over Location-Based Social Networks
UQ-AAS21: A Comprehensive Dataset of Amazon Alexa Skills
Context-Sensitive Regression Analysis for Distributed Data
Approximate Continuous k Representative Skyline Queries over Memory Limitation-Based Streaming Data
PheScale: Leveraging Transformer Models for Proactive VM Auto-scaling
TSRuleGrowth: Mining Partially-Ordered Prediction Rules From a Time Series of Discrete Elements, Application to a Context of Ambient Intelligence
Spatio-Temporal Decoupled Heterogeneous Graph Network for Systemic Risk Prediction
Leveraging Deep AUC Maximisation for Enhanced Active Learning in Named Entity Recognition
TriLinear: Time Series Anomaly Detection Using Tricube Smoothing Decomposition and a Linear Forecasting Model
Discovery of Emotion Implicit Causes in Products Based on Commonsense Reasoning
MSMT-FN: Multi-segment Multi-task Fusion Network for Marketing Audio Classification
Mining Emerging High Utility Itemsets over Streaming Database
An LZ78 Based String Kernel
A Prompt Tuning Method for Chinese Medical Text Classification
OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification
Efficient Graph Collaborative Filtering with Multi-layer Output-Enhanced Contrastive Learning
On Mining Anomalous Patterns in Road Traffic Streams
An Empirical Study on Collective Online Behaviors of Extremist Supporters
Deep Group Residual Convolutional CTC Networks for Speech Recognition
Fuzzy Evaluation of Hotel Websites
Adaptive Non-disjoint Discretization for Tree Augmented Naive Bayes
Discovery of Tampered Image with Robust Hashing
MUSE: Multi-interest Framework Using Self-attentive Election for Sequential Recommendation
A Local Density Approach for Unsupervised Feature Discretization
Mining Causal Knowledge from Diagnostic Knowledge
The Design of Power Security System in Smart Home Based on the Stream Data Mining
Fault Diagnosis for an Automatic Shell Magazine Using FDA and ELM
Graph-Oriented Cross-Modality Diffusion for Multimedia Recommendation
An Effective Pre-trained Visual Encoder for Medical Visual Question Answering
A Hybrid Method of Multidimensional Scaling and Clustering for Determining Genetic Influence on Phenotypes
Feature Extraction Based on Optimal Discrimination Plane in ECG Signal Classification
Soft Set Approach for Selecting Decision Attribute in Data Clustering
Expert-Guided Model Cultivation: CoTeaching to Resolve Abstruseness and Enhance Learning Performance
Mining Patterns from Longitudinal Studies
csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction
Personalized Diversity Search Based on User's Social Relationships
CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform
Dual-Granularity Contrastive Learning for Session-Based Recommendation
Time-Constrained Test Selection for Regression Testing
Evaluating the Impact of Missing Data Imputation
Towards Generalizable Machinery Prognostics
Facilitating Feature Selection and Extraction in Clinical Trials with Large Language Models
A Deep Convolutional Autoencoder-Based Approach for Parkinson's Disease Diagnosis Through Speech Signals
Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks
On Similarity of Financial Data Series Based on Fractal Dimension
Extracting Decision Rules from Sigmoid Kernel
An Integrated Medical Recommendation Mechanism Combining Promote Product Singular Value Decomposition and Knowledge Graph
A Supervised Subspace Learning Algorithm: Supervised Neighborhood Preserving Embedding
An Extended Few-Shot Learning-Based Approach for Histopathological Image Classification of Pan-Cancer in the Digestive System
Generating Enlightened Suggestions Based on Mental State Evolution for Emotional Support Conversation
Privacy-Preserving Distributed k-Nearest Neighbor Mining on Horizontally Partitioned Multi-Party Data
ZED: Explaining Temporal Variations in Query Volume
Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data
EEG-Based User Authentication in Multilevel Security Systems
Augmenting Personalized Question Recommendation with Hierarchical Information for Online Test Platform
D2NE: Deep Dynamic Network Embedding
Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media
Using Matrix Model to Find Association Rule Core for Diverse Compound Critiques
Topic-Centric Recommender Systems for Bibliographic Datasets
Research of Personalized Recommendation System Based on Multi-view Deep Neural Networks
Empathetic Dialogue Generation with Emotional Enhancement and Knowledge Refinement
Corpus-Based Analysis of the Co-occurrence of Chinese Antonym Pairs
An Effective Multi-level Algorithm for Bisecting Graph
Decentralized Graph Processing for Reachability Queries
Community Based User Behavior Analysis on Daily Mobile Internet Usage
Drug-Drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers
Informed Weighted Random Projection for Dimension Reduction
FreqAT: An Adversarial Training Based on Adaptive Frequency-Domain Transform
Mining Frequent Closed Sequential Patterns with Non-user-defined Gap Constraints
Analysis and Experimentation of Grid-Based Data Mining with Dynamic Load Balancing
Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach
Frequent Pattern Trend Analysis in Social Networks
Finding a Wise Group of Experts in Social Networks
The GEPSO-Classification Algorithm
A Novel Information Hiding Technique for Remote Sensing Image
Cycles Improve Conditional Generators: Synthesis and Augmentation for Data Mining
Mining Load Profile Patterns for Australian Electricity Consumers
PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System
Mender: Multi-dimensional Time Series Data Cleaning Based on Dynamic Patterns
DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition
Personalized Recommendations via CTR-Guided LLM Alignment
Diffusion-Augmented Hierarchical Graph Convolutional Network for Multi-behavior Recommendation
A Study of the Effectiveness of Correction Factors for Log Transforms in Ensemble Models
Research on Commodity Recommendation Algorithm Based on RFN
Blockchain-Based Privacy Preserving Trust Management Model in VANET
RPGCN: Relational Probabilistic Graphs for EEG-Based Emotion Mining
Mobile Robot Scheduling with Multiple Trips and Time Windows
Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets
An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing
HGA-COFFEE : Aligning Multiple Sequences by Hybrid Genetic Algorithm
A Multimodal Knowledge Distillation Framework for Sleep Physiological Data
HSP: Efficient Framework for Hamming Similarity Search in PostgreSQL
Extracting Fuzzy Rules from Hierarchical Heterogeneous Neural Networks for Cardiovascular Diseases Diagnosis
Deep Knowledge Tracing with Concept Trees
GCS: A Graph-Augmented Semi-supervised Contrastive Learning Approach for Imbalanced Dissolved Gas Analysis in Power Transformers
A Comprehensive Feature Importance Evaluation for DDoS Attacks Detection
Topology Potential-Based Parameter Selecting for Support Vector Machine
ReviewLocator: Enhance User Review-Based Bug Localization with Bug Reports
Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model
A Quality Metric for K-Means Clustering Based on Centroid Locations
Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations
Language-Independent Twitter Classification Using Character-Based Convolutional Networks
Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks
Adaptive Disentangled Contrastive Collaborative Filtering
CCBitmaps: A Space-Time Efficient Index Structure for OLAP
Generating Topics of Interests for Research Communities
Mining the Structure and Evolution of the Airport Network of China over the Past Twenty Years
Multi-dimensional Classification via Global and Local Label Correlation
Influential Billboard Slot Selection Using Pruned Submodularity Graph
Feature Selection in Marketing Applications
A Serial Sample Selection Framework for Active Learning