yusuke1997/dblp-id-title huggingface dataset:
Anomalous Neighborhood Selection
Document Transformation for Multi-label Feature Selection in Text Categorization
Efficient Invariant Search for Distributed Information Systems
AMENDER: An Attentive and Aggregate Multi-layered Network for Dataset Recommendation
Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Representing Tuple and Attribute Uncertainty in Probabilistic Databases
PUB: A Class Description Technique Based on Partial Coverage of Subspace
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments
Fast Keypoint Reduction for Image Retrieval by Accelerated Diverse Density Computation
Session-based Interactive Recommendation via Deep Reinforcement Learning
Automatic Clustering by Detecting Significant Density Dips in Multiple Dimensions
A Vector-Geometry Based Spatial kNN-Algorithm for Traffic Frequency Predictions
A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods
IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items
Incomplete Multi-view Multi-label Active Learning
Classification with Degree of Membership: A Fuzzy Approach
Method for Calculating Geographic Entity Relevance Based on Spatial and Semantic Association
Design Pattern as a Service for Blockchain Applications
Context Learning Network for Object Detection
Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights
Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities
Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence Data
Batch Mode Active Learning for Individual Treatment Effect Estimation
Sentiment Extraction from Consumer-Generated Noisy Short Texts
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection
Temporal Topic Inference for Trend Prediction
Relational Fuzzy Clustering with Multiple Kernels
Physical Analysis of Precipitation Factors Based on SVM Method
Development of Mental Model in Understanding Users' Thought Processes for the Evaluation and Functional Enhancement of Clinical Decision Support Systems
Mining Significant Associations in Large Scale Text Corpora
CNL: Collective Network Linkage Across Heterogeneous Social Platforms
PC 3 : Enhancing Concurrency in High-Conflict Transactions with Prior Cascading Control
Multi-way Time Series Join on Multi-length Patterns
Integrating Pairwise Constraints into Clustering Algorithms: Optimization-Based Approaches
An Empirical Evaluation of Techniques for Feature Selection with Cost
Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile
Self-learn to Explain Siamese Networks Robustly
Data Mining Approaches to Criminal Career Analysis
Large-Scale Matrix Factorization Using MapReduce
Intervention-Aware Early Warning
The EQ Framework for Learning Equivalence Classes of Bayesian Networks
Scalable Algorithms for Distribution Search
A Recommendation System Framework to Generalize AutoRec and Neural Collaborative Filtering
A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning
The Issue of Baselines in Explainability Methods
Improving the Reliability of Decision Tree and Naive Bayes Learners
An Optimal Approach for Pruning Annular Regularized Extreme Learning Machines
Analyzing Correlation Between Air and Noise Pollution with Influence on Air Quality Prediction
Sparse Group Lasso for Regression on Land Climate Variables
Evolving Ensemble-Clustering to a Feedback-Driven Process
A Silent Voice: A Bilingual Longitudinal Analysis of Mahsa Amini's Movement Tweet
Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation
Identify Influential Social Network Spreaders
Matching Heterogeneous Textual Data Using Spatial Features
Trajectory-Based Task Allocation for Reliable Mobile Crowd Sensing Systems
Semi-Supervised Mixture-of-Experts Classification
Exercise Difficulty Prediction in Online Education Systems
Towards Personalizing Classical Music Recommendations
Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps
BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social Networks
Estimating the Distribution of Economy Activity: A Case Study in Jiangsu Province (China) Using Large Scale Social Network Data
Janus - Analytics-Driven Transition Planner
Mining California Vital Statistics Data
Patterns in Cognitive Rehabilitation of Traumatic Brain Injury Patients: A Text Mining Approach
Statistical Relational Learning for Document Mining
Credit Risk Assessment with Least Squares Fuzzy Support Vector Machines
Active Learning with Nonparallel Support Vector Machine for Binary Classification
Extraction of Preference of Recipe Providers and Users on Recipe-Sharing Websites
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder
Multiple Co-clusterings
Pattern Discovery based on Rule Induction and Taxonomy Generation
Generation of Low Distortion Adversarial Attacks via Convex Programming
Senders, Receivers and Authors in Document Classification
Purchase Behavior Prediction in M-Commerce with an Optimized Sampling Methods
Leverage Item Popularity and Recommendation Quality via Cost-Sensitive Factorization Machines
Human Mobility Driven Modeling of an Infectious Disease
Evaluation of Protein Backbone Alphabets: Using Predicted Local Structure for Fold Recognition
Online Dictionary Learning with Confidence
Gaussian Component Based Index for GMMs
Preparations for Semantics-Based XML Mining
On Finding and Analyzing the Backbone of the k-Core Structure of a Graph
SGKD: A Scalable and Effective Knowledge Distillation Framework for Graph Representation Learning
Why Stacked Models Perform Effective Collective Classification
Dissimilarity Features in Recommender Systems
A Joint Matrix Factorization Approach to Unsupervised Action Categorization
Overlapping Community Detection by Local Decentralised Vertex-Centred Process
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution
Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data
Towards Making Deep Transfer Learning Never Hurt
A Generative Probabilistic Model for Multi-label Classification
Dual Fuzzy-Possibilistic Co-clustering for Document Categorization
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining
Record Linkage and Matching Problems in Forensics
Cubix: A Visual Analytics Tool for Conceptual and Semantic Data
Ask George Washington on Negotiated Texts with Quill Q&A
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Measuring Real-Time Predictive Models
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy
Efficient Discovery of Frequent Correlated Subgraph Pairs
EPAB: Early Pattern Aware Bayesian Model for Social Content Popularity Prediction
Scalable Graph Classification via Random Walk Fingerprints
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off
Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework
Community Preserved Social Graph Publishing with Node Differential Privacy
Variant Bayesian Networks
Dynamic Pattern Detection with Temporal Consistency and Connectivity Constraints
Dirichlet Aspect Weighting: A Generalized EM Algorithm for Integrating External Data Fields with Semantically Structured Queries by Using Gradient Projection Method
Non-Redundant Data Clustering
A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection
Spotting Significant Changing Subgraphs in Evolving Graphs
Clustering on Multiple Incomplete Datasets via Collective Kernel Learning
A Linear-Time Graph Kernel
Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of Genes
Learning What Makes a Society Tick
Cache-based Optimization for Block Commit of Hyperledger Fabric
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Wave2Vec: Learning Deep Representations for Biosignals
Finding Alternative Clusterings Using Constraints
Preserving Private Knowledge in Frequent Pattern Mining
Generating assessment tests using image-based items
GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
Rare Category Detection on Time-Evolving Graphs
Mining Logic Patterns from Visual Data
Detecting Abnormal Machine Characteristics in Cloud Infrastructures
Feature Selection for Unsupervised Learning Using Random Cluster Ensembles
On Pattern Preserving Graph Generation
Using Deep Generative Models to Boost Forecasting: A Phishing Prediction Case Study
Multi-label Learning with Label Enhancement
Phonetic-Based Microtext Normalization for Twitter Sentiment Analysis
Nearest-Neighbor Neural Networks for Geostatistics
Permutation-Based Sequential Pattern Hiding
Plant Protein Localization Using Discriminative and Frequent Partition-Based Subsequences
Fast Parallel Association Rule Mining without Candidacy Generation
10 Years of Data Mining Research: Retrospect and Prospect
K-MEAP: Generating Specified K Clusters with Multiple Exemplars by Efficient Affinity Propagation
Empirical Analysis: News Impact on Stock Prices Based on News Density
Mining Significant Pairs of Patterns from Graph Structures with Class Labels
Progressive Mining of Transition Dynamics for Autonomous Control
Alice and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining Results
Learning Cost-Sensitive Rules for Non-forced Classification
A KDD Platform Based on the Application Service Provider Paradigm
Co-ClusterD: A Distributed Framework for Data Co-Clustering with Sequential Updates
Parallel User Profiling Based on Folksonomy for Large Scaled Recommender Systems: An Implimentation of Cascading MapReduce
Applying Noise Handling Techniques to Genomic Data: A Case Study
Infer Mobility Patterns and Social Dynamics for Modelling Human Behaviour
Visualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR
Online Ensemble of Ensemble OVA Framework for Class Evolution with Dominant Emerging Classes
Automatic Training Data Cleaning for Text Classification
DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
Extended Boolean Matrix Decomposition
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
Bayesian Multi-Task Relationship Learning with Link Structure
An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews
FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning
Multi-task Survival Analysis
Scalable Constrained Spectral Clustering via the Randomized Projected Power Method
A Human-Machine Collaborative System for Identifying Rumors on Twitter
Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition
A Survey on Spatio-Temporal Graph Neural Networks for Traffic Forecasting
A lightweight and unsupervised approach for identifying risk events in news articles
Edge-Based Wedge Sampling to Estimate Triangle Counts in Very Large Graphs
Ligand-Based Virtual Screening with Co-regularised Support Vector Regression
Dimensionality Reduction on Heterogeneous Feature Space
Context Suggestion: Solutions and Challenges
On a Capacity Control Using Boolean Kernels for the Learning of Boolean Functions
Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis
Cost-Sensitive Online Classification
Predicted Edit Distance Based Clustering of Gene Sequences
An Analysis of Treatment Patterns: A Case Study on Carpal Tunnel Syndrome
Atomic Wedgie: Efficient Query Filtering for Streaming Times Series
Discovering Triggering Events from Longitudinal Data
Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform
Enhancing Reliability throughout Knowledge Discovery Process
Metric Learning from Relative Comparisons by Minimizing Squared Residual
A Generalization of Proximity Functions for K-Means
Deep Physiological Arousal Detection in a Driving Simulator Using Wearable Sensors
SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks
Collective Human Behavior in Cascading System: Discovery, Modeling and Applications
MEG: Masked Ensemble Tabular Data Generator
Temporal-Relational Classifiers for Prediction in Evolving Domains
Efficiently Mining Maximal Frequent Itemsets
ATTA: Adversarial Task-transferable Attacks on Autonomous Driving Systems
On the Sustainability of Blockchain Funding
ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding
Supervised Class Distribution Learning for GANs-Based Imbalanced Classification
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement
Closed Form Word Embedding Alignment
Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach
Multi-agent Random Walks for Local Clustering on Graphs
SES: Sentiment Elicitation System for Social Media Data
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
Tensor Fold-in Algorithms for Social Tagging Prediction
Template-Based Privacy Preservation in Classification Problems
Understanding theWeb Page Layout
Spatio-Temporal Mining of Core Regions: Study of Rainfall Patterns in Monsoonal India
A Dirichlet Energy Criterion for Graph-Based Image Segmentation
Predictive Nonlinear Modeling by Koopman Mode Decomposition
A Predictive Coding Framework for Learning to Predict Changes in Streaming Data
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering
Similarity of Temporal Query Logs Based on ARIMA Model
Adaptive Parallel Sentences Mining from Web Bilingual News Collection
Classifying Categorical Data by Rule-Based Neighbors
Estimating Fungibility Between Skills by Combining Skill-Similarities Obtained from Multiple Data Sources
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations
Investors Attention and the Effects on Stock Market: An Empirical Study Based on Stock Forum
Segmentation of Evolving Complex Data and Generation of Models
T 2 -Net: A Semi-supervised Deep Model for Turbulence Forecasting
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization
Can machine learning algorithms predict publication outcomes? A case study of COVID-19 preprints
Incentive-Compatible Privacy-Preserving Distributed Data Mining
Linear and Non-Linear Dimensional Reduction via Class Representatives for Text Classification
Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages
Kernel-based Substructure Exploration for Next POI Recommendation
Spatial Interpolation Using Multiple Regression
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression
Joint Recovery and Representation Learning for Robust Correlation Estimation Based on Partially Observed Data
Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings
Unsupervised DeepView: Global Uncertainty Visualization for High Dimensional Data
The Hierarchical Model to Ali Mobile Recommendation Competition
Estimating the Pruned Search Space Size of Subgroup Discovery
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
Learning Invariant Features on Graphs by Disentangling Spurious Features
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
Biased Support Vector Machine with Self-Constructed Universum for PU Learning
THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting
Improving Matching Process in Social Network
Research on Methodology of Classification Mining for Tumor Markers
LogTree: A Framework for Generating System Events from Raw Textual Logs
Isolation Kernel Density Estimation
Structure-Preserving Graph Representation Learning
Active Label Correction
Mining Effective Subsequences with Application in Marketing Attribution
Cluster Cores-Based Clustering for High Dimensional Data
Social Trust Network Embedding
Estimating Personality from Social Media Posts
Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations
Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures
ADAGIO: Fast Data-Aware Near-Isometric Linear Embeddings
Unsupervised Relation Extraction by Massive Clustering
Dealing with Class Imbalance the Scalable Way: Evaluation of Various Techniques Based on Classification Grade and Computational Complexity
Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction
Dynamic Poisson Factor Analysis
Projection Pursuit Based Density Ratio Estimation
Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation
A Comparative Study of Urban Mobility Patterns Using Large-Scale Spatio-Temporal Data
Enhancing Clinical Name Entity Recognition Based on Hybrid Deep Learning Scheme
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective
Learning Restricted Bayesian Network Classifiers with Mixed Non-i.i.d. Sampling
MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data
An Efficient Search Algorithm for Content-Based Image Retrieval with User Feedback
PERCeIDs: PERiodic CommunIty Detection
Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion
Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy
A Narrative Analysis by Text Mining Technique Using Key Graph: Similarity and Difference of a View of Oral Health and Oral Risk Cognition between Japanese Living People and Dentists
Post-pandemic Economic Transformations in the United States of America
Maximum Entropy Modelling for Assessing Results on Real-Valued Data
Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels
Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data
Spotting Culprits in Epidemics: How Many and Which Ones?
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches
A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data
Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures
SmartVideoRanking: Video Search by Mining Emotions from Time-Synchronized Comments
Hashing with Generalized Nyström Approximation
ETM: Entity Topic Models for Mining Documents Associated with Entities
Learning Instance Greedily Cloning Naive Bayes for Ranking
An Adaptive Pre-filtering Technique for Error-Reduction Sampling in Active Learning
One Belt, One Road, One Sentiment? A Hybrid Approach to Gauging Public Opinions on the New Silk Road Initiative
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding
Using Rule Sets to Maximize ROC Performance
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs
Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs
Comparative Study on Trajectory Outlier Detection Algorithms
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features
IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy
Application of NLP to determine the State of Issues in Bug Tracking Systems
Creating Ensembles of Classifiers
A Goal-Prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation System
DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction
Process Diagnosis via Electrical-Wafer-Sorting Maps Classification
Sparse Norm-Regularized Reconstructive Coefficients Learning
CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform
The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study
Employing the Principal Hessian Direction for Building Hinging Hyperplane Models
Accurate Discovery of Valid Convoys from Moving Object Trajectories
Review of Graph Processing Frameworks
Blockchain-Based System for Vaccine Traceability
Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach
High-Speed Identification of Language and Script
NEARM: Natural Language Enhanced Association Rules Mining
Hypergraph Attribute Attention Network for Community Recommendation
Large-Scale Customized Models for Advertisers
DMFP: A Dynamic Multi-faceted Fine-Grained Preference Model for Recommendation
Estimating Treatment Effects of a Residential Demand Response Program Using Non-experimental Data
i-Analyst: An Agent-Based Distributed Data Mining Platform
Experience-Aware Item Recommendation in Evolving Review Communities
A Multi-Resolution Compression Scheme for EfficientWindow Queries over Road Network Databases
The Computational Complexity of High-Dimensional Correlation Search
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions
LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets
Simultaneously Combining Multi-view Multi-label Learning with Maximum Margin Classification
Learning Preferences with Millions of Parameters by Enforcing Sparsity
Score Look-Alike Audiences
Enhancing Question Understanding and Representation for Knowledge Base Relation Detection
Bandit-Based Algorithms for Budgeted Learning
An Incremental Tensor Factorization Approach for Web Service Recommendation
Machine Learning Approach to Identify Users Across Their Digital Devices
Forecasting Wavelet Transformed Time Series with Attentive Neural Networks
Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments
Combining Labeled and Unlabeled Data for Text Classification with a Large Number of Categories
Video Instance Segmentation Using Graph Matching Transformer
CLUMP: A Scalable and Robust Framework for Structure Discovery
Incremental Time Series Prediction Using Error-Driven Informed Adaptation
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
Mining Trajectories for Spatio-temporal Analytics
Collective Entity Resolution in Familial Networks
Absorbing Random-Walk Centrality: Theory and Algorithms
Enhancing Text Clustering Using Concept-based Mining Model
An Adaptive Method Stabilizing Activations for Enhanced Generalization
Message from the ICDM 2020 General Chairs
General MC: Estimating Boundary of Positive Class from Small Positive Data
Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems
Structure Search and Stability Enhancement of Bayesian Networks
Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems
Mining Research Topics Evolving Over Time Using a Diachronic Multi-source Approach
Diffusion Maps: A Superior Semantic Method to Improve Similarity Join Performance
Aspect-based Sentiment Classification via Reinforcement Learning
Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments
Cross-Store Next-Basket Recommendation
A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach
Unlocking Decentralized Lending Protocols: Semantic Unification and Risk Spillover Assessment
Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio