yusuke1997/dblp-id-title huggingface dataset:
Deferentially Private Tagging Recommendation Based on Topic Model
From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation
TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training
Negative Sampling for Hyperlink Prediction in Networks
Multi-time Window Ensemble and Maximization of Expected Return for Stock Movement Prediction
Semantic-Distance Based Clustering for XML Keyword Search
LEMT: A Label Enhanced Multi-task Learning Framework for Malevolent Dialogue Response Detection
Multi-granularity Evolution Network for Dynamic Link Prediction
An Effective Method For Calculating Natural Adjacency Relation in Spatial Database
Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification
DiPPSI: Diffusion-Based Pulsative Physiological Signal Imputation
Data Mining Using Relational Database Management Systems
Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control
ProMail: Using Progressive Email Social Network for Spam Detection
Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection
MSNE: A Novel Markov Chain Sampling Strategy for Network Embedding
Using Consensus Susceptibility and Consistency Measures for Inconsistent Knowledge Management
Combined Association Rule Mining
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning
A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules
Dimensionality Reduction via Community Detection in Small Sample Datasets
SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection
Neural Choice by Elimination via Highway Networks
Dependency-Aware Attention Model for Emotion Analysis for Online News
Improving Knowledge Graph Entity Alignment with Graph Augmentation
Context-Aware Latent Dirichlet Allocation for Topic Segmentation
Associative Classification for Human Activity Inference on Smart Phones
Using Bandits for Effective Database Activity Monitoring
A Pruning-Based Approach for Searching Precise and Generalized Region for Synthetic Minority Over-Sampling
A Polynomial-Delay Polynomial-Space Algorithm for Extracting Frequent Diamond Episodes from Event Sequences
Rolling Forecasting Forward by Boosting Heterogeneous Kernels
The Most Related Knowledge First: A Progressive Domain Adaptation Method
Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence
A Convergent Differentially Private k-Means Clustering Algorithm
Misinformation and Disinformation in Generative AI - A Survey
Estimating Skill Proficiency from Resumes
Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data
A P-LSTM Neural Network for Sentiment Classification
A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data
Mining High Impact Exceptional Behavior Patterns
Keeping Priors in Streaming Bayesian Learning
Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model
An Anomaly Intrusion Detection System Using C5 Decision Tree Classifier
aHCQ: Adaptive Hierarchical Clustering Based Quantization Framework for Deep Neural Networks
Generative AI for Tabular Data Synthesis
Effectively Representing Short Text via the Improved Semantic Feature Space Mapping
Dynamic Circle Recommendation: A Probabilistic Model
Hierarchical Density-Based Clustering of Categorical Data and a Simplification
Network Flow Based Collective Behavior Analysis
Adaptive Matching Based Kernels for Labelled Graphs
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III
Modality Classification for Medical Images Using Sparse Coded Affine-Invariant Descriptors
User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models
Bottom-Up and Top-Down Graph Pooling
An Interpretable Neural Model with Interactive Stepwise Influence
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
A Survey on Enhancing Causal Reasoning Ability of Large Language Models
Mobility Irregularity Detection with Smart Transit Card Data
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring
Filtering Bio-sequence Based on Sequence Descriptor
Manifold Approximation and Projection by Maximizing Graph Information
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation
Time Interval Aware Graph Neural Networks for Session-Based Recommendation
Optimizing Classifiers for Hypothetical Scenarios
Learning from Crowds under Experts' Supervision
CAPED: Context-Aware Powerlet-Based Energy Disaggregation
Multiple Factors-Aware Diffusion in Social Networks
Construction of Academic Innovation Chain Based on Multi-level Clustering of Field Literature
EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining
Transfer Learning Action Models by Measuring the Similarity of Different Domains
An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise
Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval
F-Trail: Finding Patterns in Taxi Trajectories
Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards
Relation Embedding for Personalised Translation-Based POI Recommendation
Contextual Anomaly Detection Using Log-Linear Tensor Factorization
Experiments on Kernel Tree Support Vector Machines for Text Categorization
ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks
A Secure Time Synchronization Protocol for Sensor Network
Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis Vectors
The Relevance of Spatial Relation Terms and Geographical Feature Types
MTGlu: A Multi-scale Time-Frequency Approach for Personalized Glucose Prediction in Type 1 Diabetes
XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents
ToothCR: A Two-Stage Completion and Reconstruction Approach on 3D Dental Model
Efficient Compression Technique for Sparse Sets
Scalable Knowledge Graph Construction from Unstructured Text: A Case Study on Artisanal and Small-Scale Gold Mining
Probabilistic Feature Extraction from Multivariate Time Series Using Spatio-Temporal Constraints
Density-Based Clustering Based on Hierarchical Density Estimates
A Contraction Tree SAT Encoding for Computing Twin-Width
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection
Informative MicroRNA Expression Patterns for Cancer Classification
HOC-Tree: A Novel Index for Efficient Spatio-Temporal Range Search
VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning
GetItFull - A Tool for Downloading and Pre-processing Full-Text Journal Articles
Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics
Learning a Semantic Space for Modeling Images, Tags and Feelings in Cross-Media Search
Discovering Protein Functional Models Using Inductive Logic Programming
BRUNCH: Branching Structure Inference of Hybrid Multivariate Hawkes Processes with Application to Social Media
World Expo Problem and Its Mixed Integer Programming Based Solution
Ranking Outliers Using Symmetric Neighborhood Relationship
A Non-parametric Wavelet Feature Extractor for Time Series Classification
MIDA: Multiple Imputation Using Denoising Autoencoders
MvRNA: A New Multi-view Deep Neural Network for Predicting Parkinson's Disease
A Fusion of Algorithms in Near Duplicate Document Detection
QC4 - A Clustering Evaluation Method
Supporting Creativity: Towards Associative Discovery of New Insights
Mining Regression Rules and Regression Trees
A Hybrid Incremental Clustering Method-Combining Support Vector Machine and Enhanced Clustering by Committee Clustering Algorithm
WLPMiner: Weighted Frequent Pattern Mining with Length-Decreasing Support Constraints
Clustering-Based k-Anonymity
A Privacy-Preserving Classification Mining Algorithm
Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams
How Much Can A Retailer Sell? Sales Forecasting on Tmall
Uni-MRL: Unified MultiModal Molecular Representation Learning with Large Language Models and Graph Neural Networks
ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information
Predicting Auction Price of Vehicle License Plate with Deep Residual Learning
Best-Match Method Used in Co-training Algorithm
An OLAP Server for Sensor Networks Using Augmented Statistics Trees
i Wed: An Integrated Multigraph Cut-Based Approach for Detecting Events from a Website
Mining Biosignal Data: Coronary Artery Disease Diagnosis Using Linear and Nonlinear Features of HRV
Regularization of the Policy Updates for Stabilizing Mean Field Games
An Alternative Methodology for Mining Seasonal Pattern Using Self-Organizing Map
Automatic Self-Suspended Task for a MapReduce System on Cloud Computing
Improve Chinese Spelling Check by Reevaluation
Cool Blog Classification from Positive and Unlabeled Examples
As Time Goes by: Discovering Eras in Evolving Social Networks
KiProL: A Knowledge-Injected Prompt Learning Framework for Language Generation
Instance-Ranking: A New Perspective to Consider the Instance Dependency for Classification
Knowledge Acquisition from Both Human Expert and Data
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities
IR Embedding Fairness Inspection via Contrastive Learning and Human-AI Collaborative Intelligence
Alignment-Aware Word Distance
Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure
GLAD-PAW: Graph-Based Log Anomaly Detection by Position Aware Weighted Graph Attention Network
MIRD-Net for Medical Image Segmentation
Fast Converging Multi-armed Bandit Optimization Using Probabilistic Graphical Model
An Embedding Scheme for Detecting Anomalous Block Structured Graphs
Mining Bulletin Board Systems Using Community Generation
Clustering Documents Using a Wikipedia-Based Concept Representation
Unusual Pattern Detection in High Dimensions
Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
Fast Online Estimation of the Joint Probability Distribution
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis
A Novel Prototype Reduction Method for the K -Nearest Neighbor Algorithm with K >= 1
Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning
A Hybrid Prediction Method Combining RBF Neural Network and FAR Model
Dboost: A Fast Algorithm for DBSCAN-based Clustering on High Dimensional Data
Evaluation of Orca 2 Against Other LLMs for Retrieval Augmented Generation
Transfer Channel Pruning for Compressing Deep Domain Adaptation Models
Leveraging Transfer Learning for Enhancing Graph Optimization Problem Solving
A Refined MISD Algorithm Based on Gaussian Process Regression
Comparative Analysis of 3D-Culture System for Murine Neonatal Heart Regeneration: A Systematic Approach for Big Gene Expression Data
Highly Scalable Attribute Selection for Averaged One-Dependence Estimators
Optimal Algorithms for Finding User Access Sessions from Very Large Web Logs
MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation
Arms Race in Deep Learning: A Survey of Backdoor Defenses and Adaptive Attacks
Discovering Strong Meta Association Rules Using Bees Swarm Optimization
Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web
Shelf Time Analysis in CTP Insurance Claims Processing
Sentiment Analysis Based on LSTM Architecture with Emoticon Attention
Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends
A Unified Metric for Categorical and Numerical Attributes in Data Clustering
Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation
Topic-Level Bursty Study for Bursty Topic Detection in Microblogs
Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data
Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection
Optimizing the Induction of Alternating Decision Trees
Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data
An Adaptive Fuzzy k -Nearest Neighbor Method Based on Parallel Particle Swarm Optimization for Bankruptcy Prediction
SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition
K-Centers Algorithm for Clustering Mixed Type Data
Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters
Mining Outliers with Faster Cutoff Update and Space Utilization
Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers
Efficient Discovery of Structural Motifs from Protein Sequences with Combination of Flexible Intra- and Inter-block Gap Constraints
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
Active Learning Based Entity Resolution Using Markov Logic
FlowRec: Prototyping Session-Based Recommender Systems in Streaming Mode
Neural Additive and Basis Models with Feature Selection and Interactions
On Optimal Rule Mining: A Framework and a Necessary and Sufficient Condition of Antimonotonicity
FGPA: An Integrated Framework for Mutual Fund Grouping and Group Persistence Assessment
Incremental Clustering in Geography and Optimization Spaces
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios
Measuring Interpretability for Different Types of Machine Learning Models
Pruning Redundant Association Rules Using Maximum Entropy Principle
Mining Appliance Usage Patterns in Smart Home Environment
Query Expansion for the Language Modelling Framework Using the Naïve Bayes Assumption
Query-Decision Regression Between Shortest Path and Minimum Steiner Tree
Feature Extraction and Classification of Tumor Based on Wavelet Package and Support Vector Machines
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification
Mining Massive-Scale Spatiotemporal Trajectories in Parallel: A Survey
PLVCG: A Pretraining Based Model for Live Video Comment Generation
LRTree: A Hybrid technique for Classifying Myocardial Infarction Data Containing Unknown Attribute Values
SETM*-MaxK: An Efficient SET-Based Approach to Find the Largest Itemset
Modelling Zeros in Blockmodelling
Characterization of Default Knowledge in Ripple Down Rules Method
A k-MCST Based Algorithm for Discovering Core-Periphery Structures in Graphs
A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses
Secure and Accurate Two-Step Hash Encoding for Privacy-Preserving Record Linkage
HATDC: A Holistic Approach for Time Series Data Repairing
One Arrow, Many Targets: Probing LLMs for Multi-Attribute Controllable Text Summarization
Febrl - A Parallel Open Source Data Linkage System: http://datamining.anu.edu.au/linkage.html
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I
Online Clustering for Evolving Data Streams with Online Anomaly Detection
Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants
Design, Conduct and Analysis of a Biased Voting Experiment on Human Behavior
Cooperative Monitoring of Malicious Activity in Stock Exchanges
Hybrid Data Mining Systems: The Next Generation
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III
HOSLIM: Higher-Order Sparse LInear Method for Top-N Recommender Systems
Clustering Multi-represented Objects with Noise
Direct and Incremental Computing of Maximal Covering Rules
Level-Biased Statistics in the Hierarchical Structure of the Web
A Systematic Evaluation of Generative Models on Tabular Transportation Data
Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models
Clustering Based on Dominant Set and Cluster Expansion
ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation
Naviz : Website Navigational Behavior Visualizer
Meta-data Augmentation Based Search Strategy Through Generative Adversarial Network for AutoML Model Selection
Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method
Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique
Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering
Feature Selection Algorithm for Data with Both Nominal and Continuous Features
Using Network Flows to Identify Users Sharing Extremist Content on Social Media
A Novel Framework for Improving Recommender Diversity
Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN
Kernels over Relational Algebra Structures
Neural Variational Matrix Factorization with Side Information for Collaborative Filtering
Relational Pattern Mining Based on Equivalent Classes of Properties Extracted from Samples
A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM
Applying Latent Semantic Indexing in Frequent Itemset Mining for Document Relation Discovery
Dynamic Topic-Noise Models for Social Media
DyPerm: Maximizing Permanence for Dynamic Community Detection
Ensemble Learning Based Distributed Clustering
Citation Enrichment Improves Deduplication of Primary Evidence
Automatic Extraction of Basis Expressions That Indicate Economic Trends
Mining Algorithms for Sequential Patterns in Parallel: Hash Based Approach
Information Granules for Spatial Reasoning
Consistency Based Feature Selection
Semantic Completion: Enhancing Image-Text Retrieval with Information Extraction and Compression
Density-Based Mining of Quantitative Association Rules
Connectivity Based Stream Clustering Using Localised Density Exemplars
An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for Classification
Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification
Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning
A Term Association Translation Model for Naive Bayes Text Classification
Learning Discriminative Features Using Multi-label Dual Space
A Study of Rumor Spreading with Epidemic Model Based on Network Topology
TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions
Unsupervised and Semi-supervised Dimensionality Reduction with Self-Organizing Incremental Neural Network and Graph Similarity Constraints
A Method for Aggregating Partitions, Applications in K.D.D
An Analysis of Support Vector Machines for Credit Risk Modeling
Tree-Miner: Mining Sequential Patterns from SP-Tree
Dynamic Ordering-Based Search Algorithm for Markov Blanket Discovery
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection
MuPaST: Multi-Period Aware Spatio-Temporal Representation Learning for Multivariate Time Series Classification
Ensemble Learning Based on Multi-Task Class Labels
Learning What Matters - Sampling Interesting Patterns
Enhanced Graph Neural Network for Session-Based Recommendation with Static and Dynamic Information
Social Network Community Detection Using Strongly Connected Components
Canonicalizing Knowledge Bases for Recruitment Domain
On Link Privacy in Randomizing Social Networks
Phishing Detection on Twitter Streams
On the Robustness of Decision Tree Learning Under Label Noise
A Generic Classifier-Ensemble Approach for Biomedical Named Entity Recognition
A Two-Stage Dual Space Reduction Framework for Multi-label Classification
Tailored Bipartite Graph Anomaly Detection via Fixed-Attention Network
Clustering-Friendly Representation Learning for Enhancing Salient Features
Accelerating Stochastic Newton Method via Chebyshev Polynomial Approximation
Active Learning with c-Certainty
Semi-supervised Clustering on Heterogeneous Information Networks
Achieving Counterfactual Fairness for Anomaly Detection
Thai Word Segmentation with Hidden Markov Model and Decision Tree
Rapid Anomaly Detection Using Integrated Prudence Analysis (IPA)
Post-it: Augmented Reality Based Group Recommendation with Item Replacement
Multi-criteria and Review-Based Overall Rating Prediction
Parallel FP-Growth on PC Cluster
BRIM: An Efficient Boundary Points Detecting Algorithm
Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings
CPPG: Efficient Mining of Coverage Patterns Using Projected Pattern Growth Technique
A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams
Efficient Approximate Algorithms for the Closest Pair Problem in High Dimensional Spaces
An Accelerator of Feature Selection Applying a General Fuzzy Rough Model
Logistic Regression and Boosting for Labeled Bags of Instances
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
A Subpath Kernel for Rooted Unordered Trees
Mining Wikipedia and Yahoo! Answers for Question Expansion in Opinion QA
Unsupervised Domain Adaptation Dictionary Learning for Visual Recognition
Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy
Budget Semi-supervised Learning
A Two-Stage Approach for Generating Topic Models
Analyzing the Propagation of Influence and Concept Evolution in Enterprise Social Networks through Centrality and Latent Semantic Analysis
Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs
T 3N : Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter
Contrastive Attributed Network Anomaly Detection with Data Augmentation
A Scalable Algorithm for Rule Post-pruning of Large Decision Trees
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
Efficient Algorithms for Incremental Update of Frequent Sequences
A Graphical Model for Collective Behavior Learning Using Minority Games
A Multi-task Kernel Learning Algorithm for Survival Analysis
Hot Item Detection in Uncertain Data
Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process
ScaleViz: Scaling Visualization Recommendation Models on Large Data
Mining Association Rules for Estimation and Prediction
On Association, Similarity and Dependency of Attributes
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 V
Using Multi-objective Optimization to Solve the Long Tail Problem in Recommender System
Dynamic Anomaly Detection Using Vector Autoregressive Model
KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System
Feature Selection for Multiclass Binary Data
Time-Dependent Survival Neural Network for Remaining Useful Life Prediction
Retweeting Activity on Twitter: Signs of Deception
Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection
Semantic Dependent Word Pairs Generative Model for Fine-Grained Product Feature Mining
Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I
Centroid Neural Network with Spatial Constraints
Matrix-Based Method for Inferring Variable Labels Using Outlines of Data in Data Jackets
Finding Collections of k-Clique Percolated Components in Attributed Graphs
A Domain-Agnostic Approach to Spam-URL Detection via Redirects
Learning to Rank Items of Minimal Reviews Using Weak Supervision
Data Centers Job Scheduling with Deep Reinforcement Learning
Determining the Impact of Missing Values on Blocking in Record Linkage
An Efficient Algorithm for Finding Similar Short Substrings from Large Scale String Data
Cluster-Based Algorithms for Dealing with Missing Values
A Measure Oriented Training Scheme for Imbalanced Classification Problems