yusuke1997/dblp-id-title huggingface dataset:
An Enhanced Markov Clustering Algorithm Based on Physarum
Constrained Least Squares Regression for Semi-Supervised Learning
Blogger-Link-Topic Model for Blog Mining
Inline Citation Classification Using Peripheral Context and Time-Evolving Augmentation
Pattern Mining for a Two-Stage Information Filtering System
Extraction of Frequent Few-Overlapped Monotone DNF Formulas with Depth-First Pruning
Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information
Analyzing Location Predictability on Location-Based Social Networks
Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation
Inferring Sensor Metadata Based on Machine Learning for Portable Building Applications
A New Approach for Similarity Queries of Biological Sequences in Databases
Weighted Intra-transactional Rule Mining for Database Intrusion Detection
Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation
Subseries Join: A Similarity-Based Time Series Match Approach
Rule Synthesizing from Multiple Related Databases
Persistent Community Detection in Dynamic Social Networks
Security Framework for Home Network: Authentication, Authorization, and Security Policy
Smooth Perturbations for Time Series Adversarial Attacks
A Framework for Discovering Spatio-temporal Cohesive Networks
GC-Tree: A Fast Online Algorithm for Mining Frequent Closed Itemsets
Mining Typical Order Sequences from EHR for Building Clinical Pathways
PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data
Accurate Identification of Electrical Equipment from Power Load Profiles
Structure-Based Hierarchical Transformations for Interactive Visual Exploration of Social Networks
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem
Similarity-Based Feature Selection for Learning from Examples with Continuous Values
Separating Structure from Interestingness
Social Spammer Detection: A Multi-Relational Embedding Approach
Most Significant Substring Mining Based on Chi-square Measure
UNN: A Neural Network for Uncertain Data Classification
TabuLa: Harnessing Language Models for Tabular Data Synthesis
Knowledge Graph Embedding with Order Information of Triplets
Peculiarity Oriented Analysis in Multi-people Tracking Images
Using Pseudo-Synonyms to Generate Embeddings for Clinical Terms
AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding
Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I
SGPM: Static Group Pattern Mining Using Apriori-Like Sliding Window
Online Feature Selection Algorithm with Bayesian l1 Regularization
Fast Edit Distance Prediction for All Pairs of Sequences in Very Large NGS Datasets
Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data
Making Use of the Most Expressive Jumping Emerging Patterns for Classification
Team Formation with the Communication Load Constraint in Social Networks
Improved Self-splitting Competitive Learning Algorithm
Interpreting Pretrained Language Models via Concept Bottlenecks
PAKDD Data Mining Competition 2009: New Ways of Using Known Methods
Mining Interesting Association Rules: A Data Mining Language
Rethinking Adjacent Dependency in Session-Based Recommendations
Nonlinear Discriminative Embedding for Clustering via Spectral Regularization
Top-Down and Bottom-Up Strategies for Incremental Maintenance of Frequent Patterns
On Damage Identification in Civil Structures Using Tensor Analysis
Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, FSDM, held at PAKDD 2010, Hyderabad, India, June 21st, 2010
Leveraging Label Category Relationships in Multi-class Crowdsourcing
Locally Linear Support Vector Machines for Imbalanced Data Classification
Trend Directed Learning: A Case Study
Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part II
A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature
Exploring Fine-Grained Relation Alignment for Multimedia Information Retrieval
Multi-represented Classification Based on Confidence Estimation
An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management
Improving iForest with Relative Mass
Optimized Transformer Models for FAQ Answering
Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification
Adversarial Learning of Group and Individual Fair Representations
Dependency-Tree Based Convolutional Neural Networks for Aspect Term Extraction
Interactive Construction of Decision Trees
A Rough Set-Based Clustering Method with Modification of Equivalence Relations
Rethinking Contrastive Learning for Electrocardiogram Anomaly Detection: A Time-Frequency Augmentations Perspective
A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data
Secured Privacy Preserving Data Aggregation with Semi-honest Servers
A Novel Support Vector Machine Ensemble Based on Subtractive Clustering Analysis
A Markovian Approach for Web User Profiling and Clustering
K-Dominant Skyline Computation by Using Sort-Filtering Method
Density-Based Data Clustering Algorithms for Lower Dimensions Using Space-Filling Curves
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
Adaptive and Effective Keyword Search for XML
Structural Learning About Independence Graphs from Multiple Databases
Dynamic Exponential Family Matrix Factorization
Among Them: A Game-Based Framework for Assessing Persuasion Capabilities of LLMs
Rough Margin Based Core Vector Machine
GBTM: Graph Based Troubleshooting Method for Handling Customer Cases Using Storage System Log
Towards Efficient Data Re-mining (DRM)
Towards Region Discovery in Spatial Datasets
Matrix Factorization without User Data Retention
Graph Nodes Clustering Based on the Commute-Time Kernel
Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information
COE: Clustering with Obstacles Entities. A Preliminary Study
User Incentive Based Bike-Sharing Dispatching Strategy
Clustering Web Sessions by Levels of Page Similarity
PhosTransfer: A Deep Transfer Learning Framework for Kinase-Specific Phosphorylation Site Prediction in Hierarchy
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
Exploring Groups from Heterogeneous Data via Sparse Learning
RAGA: Relation-Aware Graph Attention Networks for Global Entity Alignment
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I
What Is New in Our City? A Framework for Event Extraction Using Social Media Posts
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part IV
Event Prediction in Healthcare Analytics: Beyond Prediction Accuracy
Discovering Coverage Patterns for Banner Advertisement Placement
Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification
Minimum Message Length Criterion for Second-Order Polynomial Model Disovery
Mining Expressive Process Models by Clustering Workflow Traces
An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time Series
Feature Selection Strategy in Text Classification
Contextual Text Representation for Unsupervised Discovery in Texts
Maximizing Tree Diversity by Building Complete-Random Decision Trees
Learning Attention-Based Translational Knowledge Graph Embedding via Nonlinear Dynamic Mapping
SemPool: Simple, Robust, and Interpretable KG Pooling for Enhancing Language Models
Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling
Graph Generative Models Evaluation with Masked Autoencoder
Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation
Exploration on Similar Spatial Textual Objects Retrieval
Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning
Enhanced HMM Map Matching Model Based on Multiple Type Trajectories
Sentiment Analysis on Microblogging by Integrating Text and Image Features
Efficient Training of Adaptive Regularization of Weight Vectors for Semi-structured Text
Similarity-Aware Deep Attentive Model for Clickbait Detection
Impact of Indirect Contacts in Emerging Infectious Disease on Social Networks
A New Credit Scoring Method Based on Rough Sets and Decision Tree
Visual Interactive Evolutionary Algorithm for High Dimensional Data Clustering and Outlier Detection
Data Augmentation for Fairness in Personal Knowledge Base Population
Learning Classification Rules for Multiple Target Attributes
Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction
GDCK: Efficient Large-Scale Graph Distillation Utilizing a Model-Free Kernelized Approach
Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring
An Expert-in-the-loop Paradigm for Learning Medical Image Grouping
Unified Robust Training for Graph Neural Networks Against Label Noise
VOA*: Fast Angle-Based Outlier Detection over High-Dimensional Data Streams
A Semi-Supervised Framework for Social Spammer Detection
Learning Tree Structure of Label Dependency for Multi-label Learning
Dynamic Feature Selection Algorithm Based on Minimum Vertex Cover of Hypergraph
IACN: Influence-Aware and Attention-Based Co-evolutionary Network for Recommendation
GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II
A Hybrid Recommendation for Music Based on Reinforcement Learning
Integrating Reviews into Personalized Ranking for Cold Start Recommendation
Multitask Learning for Sparse Failure Prediction
TemporalGAT: Attention-Based Dynamic Graph Representation Learning
Parameter Estimation in Cognitive Diagnosis: A Light-Weight Neural Network Solution
The S 2 -Tree : An Index Structure for Subsequence Matching of Spatial Objects
Fault-Tolerant Concept Detection in Information Networks
Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets
Joint Relational Dependency Learning for Sequential Recommendation
MuCo-KGC: Multi-context-Aware Knowledge Graph Completion
Frequent Subsequence-Based Protein Localization
Efficient Feature Selection Framework for Digital Marketing Applications
Graph Compression with Stars
DEAL: Data-Efficient Active Learning for Regression Under Drift
Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers
Information Propagation Trees for Protest Event Prediction
A Content-Based Matrix Factorization Model for Recipe Recommendation
Learning to Extract Relations for Relational Classification
WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Mining Relationship Graphs for Effective Business Objectives
Evasion Attack of Multi-class Linear Classifiers
Scaling Up a Boosting-Based Learner via Adaptive Sampling
Using Rough Sets for Knowledge Discovery in the Development of a Decision Support System for Issuing Smog Alerts
What Boosts Fake News Dissemination on Social Media? A Causal Inference View
Accelerating Outlier Detection with Uncertain Data Using Graphics Processors
A Constraint and Rule in an Enhancement of Binary Particle Swarm Optimization to Select Informative Genes for Cancer Classification
Multi-network User Identification via Graph-Aware Embedding
Text Categorization Using Fuzzy Proximal SVM and Distributional Clustering of Words
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I
Self-paced Safe Co-training for Regression
Classification of Brain Glioma by Using SVMs Bagging with Feature Selection
Multidimensional Decision Support Indicator (mDSI) for Time Series Stock Trend Prediction
SHARD: A Framework for Sequential, Hierarchical Anomaly Ranking and Detection
Online Learning with Regularized Knowledge Gradients
Finding Hidden Structures in Relational Databases
Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization
The Effect on Accuracy of Tweet Sample Size for Hashtag Segmentation Dictionary Construction
Analyzing User Behaviors Based on Temporal Patterns of Sequential Pattern Evaluation Indices on Twitter
An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation
Further Improving Emerging Pattern Based Classifiers Via Bagging
A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitation
Feature Selection for Brain-Computer Interfaces
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree
A New Local Density for Density Peak Clustering
Investigating the Dynamics of Religious Conflicts by Mining Public Opinions on Social Media
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine
Estimating Optimal Feature Subsets Using Mutual Information Feature Selector and Rough Sets
Spike Sorting with Locally Weighted Co-association Matrix-Based Spectral Clustering
LEAF: A Less Expert Annotation Framework with Active Learning
FISA: Feature-Based Instance Selection for Imbalanced Text Classification
A Method to Boost Support Vector Machines
Multi-task Learning for Target-Dependent Sentiment Classification
CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees
SEM: Mining Spatial Events from the Web
Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series
Incrementally Finding the Vertices Absent from the Maximum Independent Sets
Multi-resolution Boosting for Classification and Regression Problems
Headwords and Suffixes in Biomedical Names
Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering
Active Learning with Misclassification Sampling Using Diverse Ensembles Enhanced by Unlabeled Instances
Extracting Protein-Protein Interactions in Biomedical Literature Using an Existing Syntactic Parser
Adversarial Active Learning with Guided BERT Feature Encoding
Interactive Visualization in Mining Large Decision Trees
Sparse Imbalanced Drug-Target Interaction Prediction via Heterogeneous Data Augmentation and Node Similarity
Random Similarity Isolation Forests
ALBIF: Active Learning with BandIt Feedbacks
BanditRank: Learning to Rank Using Contextual Bandits
A New Feature Selection and Feature Contrasting Approach Based on Quality Metric: Application to Efficient Classification of Complex Textual Data
Frequent Itemset Counting Across Multiple Tables
Multicommunity Graph Convolution Networks with Decision Fusion for Personalized Recommendation
Computational Models of Stress in Reading Using Physiological and Physical Sensor Data
Heuristic for Ranking the Interestigness of Discovered Knowledge
SAWTab: Smoothed Adaptive Weighting for Tabular Data in Semi-supervised Learning
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection
Mining Quantitative Maximal Hyperclique Patterns: A Summary of Results
Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation
Improving Knowledge Tracing via Considering Students' Interaction Patterns
Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model
OCEAN: Fast Discovery of High Utility Occupancy Itemsets
A Decremental Approach for Mining Frequent Itemsets from Uncertain Data
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling
Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels
Using Rough Set in Feature Selection and Reduction in Face Recognition Problem
Exploring Check-in Data to Infer Social Ties in Location Based Social Networks
Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams
Framework for Storing and Processing Relational Entities in Stream Mining
Knowledge-Enhanced Hierarchical Transformers for Emotion-Cause Pair Extraction
Automatic Information Extraction for Multiple Singular Web Pages
Mining Correlation Patterns among Appliances in Smart Home Environment
Privacy Preserving Publication of Locations Based on Delaunay Triangulation
TrojanTime: Backdoor Attacks on Time Series Classification
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
Progressive Sampling for Association Rules Based on Sampling Error Estimation
LSG Attention: Extrapolation of Pretrained Transformers to Long Sequences
A Tree Distance Function Based on Multi-sets
Minimum Variance Associations - Discovering Relationships in Numerical Data
Heterogeneous Information Integration in Hierarchical Text Classification
Labor Migration Modeling Through Large-Scale Job Query Data
Hard Negative Sample Mining for Contrastive Representation in Reinforcement Learning
Automatic Prompt Selection for Large Language Models
Unsupervised Extremely Randomized Trees
Robust Unlearning for Large Language Models
Semi Supervised Adaptive Framework for Classifying Evolving Data Stream
Distributed Representations for Words on Tables
SCARLET: Explainable Attention Based Graph Neural Network for Fake News Spreader Prediction
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part IV
Insomnia Disorder Detection Using EEG Sleep Trajectories
Modeling Contextual Changes in User Behaviour in Fashion e-Commerce
Data Allocation Algorithm for Parallel Association Rule Discovery
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity
Robust Ensemble Learning for Data Mining
Mining the Impact Factors of Threads and Participators on Usenet Using Link Analysis
Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal
Learning Gradients with Gaussian Processes
An SVM-Based Approach to Discover MicroRNA Precursors in Plant Genomes
A Toolbox Approach to Flexible and Efficient Data Mining
Summarization and Visualization of Communication Patterns in a Large-Scale Social Network
Multiclass Prediction for Cancer Microarray Data Using Various Variables Range Selection Based on Random Forest
LGen - A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining
Diversity Analysis on Boosting Nominal Concepts
LongStory: Coherent, Complete and Length Controlled Long Story Generation
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-convex Finite Sum Problems
Generating Diverse Ensembles to Counter the Problem of Class Imbalance
AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images
Multiple Distribution Data Description Learning Algorithm for Novelty Detection
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams
Modelling Temporal Dynamics and Repeated Behaviors for Recommendation
Node Classification in Social Network via a Factor Graph Model
DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking
Finding Temporal Features of Event-Oriented Patterns
Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling
Discovering Dense Correlated Subgraphs in Dynamic Networks
Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Polynomial Time Matching Algorithms for Tree-Like Structured Patterns in Knowledge Discovery
Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions
Efficient Centrality Monitoring for Time-Evolving Graphs
Parametric Bandits for Search Engine Marketing Optimisation
Extracting Predictors of Corporate Bankruptcy: Empirical Study on Data Mining Methods
Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure
The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions
On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks
Characteristic-Based Descriptors for Motion Sequence Recognition
Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I
EFCNN: A Restricted Convolutional Neural Network for Expert Finding
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
IMB3-Miner: Mining Induced/Embedded Subtrees by Constraining the Level of Embedding
Chinese Categorization and Novelty Mining
Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining
Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts
Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning
A Transfer Metric Learning Method for Spammer Detection
A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network
Adaptive Evidence Accumulation Clustering Using the Confidence of the Objects' Assignments
Enhanced Molecular Property Prediction with SMILES and Graph Aligned Contrastive Learning
An Exponential Time-Aware Recommendation Model for Mobile Notification Services
A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery (Extended Abstract)
Quality Control for Hierarchical Classification with Incomplete Annotations
Contextual Location Imputation for Confined WiFi Trajectories
Node Information Awareness Pooling for Graph Representation Learning
Low-Dimensional Representation Learning from Imbalanced Data Streams
Empower People with Knowledge: The Next Frontier for Web Search
Assessing Classifier Fairness with Collider Bias
Robust Semi-supervised Representation Learning for Graph-Structured Data
Multi-task Student Teacher Based Unsupervised Domain Adaptation for Address Parsing
Clustering-Based Scalable Indexing for Multi-party Privacy-Preserving Record Linkage
VisCon-100K: Leveraging Contextual Web Data for Fine-Tuning Vision Language Models
CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II
Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model
Classifier Ensemble for Uncertain Data Stream Classification
Unlearnable Examples for Time Series
Parallel Graph Convolutional Network for Multi-modal Recommendation
Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data
Community Discovery Based on Social Relations and Temporal-Spatial Topics in LBSNs
Data-Free Adversarial Perturbations for Practical Black-Box Attack
A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers
A Novel Proposal for Outlier Detection in High Dimensional Space
StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN
Extracting Initial and Reliable Negative Documents to Enhance Classification Performance