yusuke1997/dblp-id-title huggingface dataset:
GNES: Learning to Explain Graph Neural Networks
Cross-Device Consumer Identification
Outlier Detection Based on Low Density Models
Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model
A Deep Memory-Aware Attentive Model for Knowledge Tracing
Optimization Strategies in Quantized Neural Networks: A Review
A Semi-supervised Learning Algorithm for Recognizing Sub-classes
Efficient Navigation for Constrained Shortest Path with Adaptive Expansion Control
Domain-Specific Knowledge Base Enrichment Using Wikipedia Tables
Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset
Utilizing In-store Sensors for Revisit Prediction
Analysis and Real-Time Prediction of Local Incident Impact on Transportation Networks
Inferring the Underlying Structure of Information Cascades
LOGIC: Probabilistic Machine Learning for Time Series Classification
Finding Subspace Clusters Using Ranked Neighborhoods
Least Square Incremental Linear Discriminant Analysis
eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors
An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes
Sparse Domain Adaptation in Projection Spaces Based on Good Similarity Functions
Intelligent Practical Teaching Platform based on Data Mining
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Standards-Based Coastal Sensor Web
Using Representative-Based Clustering for Nearest Neighbor Dataset Editing
Rank-Based Multi-task Learning for Fair Regression
Investigative Profiling with Computer Forensic Log Data and Association Rules
Organic Pie Charts
Field-Aware Knowledge Tracing Machine by Modelling Students' Dynamic Learning Procedure and Item Difficulty
Working for Influence: Effect of Network Density and Modularity on Diffusion in Networks
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis
Algorithm for Discovering Low-Variance 3-Clusters from Real-Valued Datasets
Fast LSTM Inference by Dynamic Decomposition on Cloud Systems
Concise Representation of Frequent Patterns Based on Disjunction-Free Generators
Social Network Extraction of Academic Researchers
Data Modeling for Content-Based Support Environment Application on Epilepsy Data Mining
Understanding and Exploiting the Connections between NMF and SVM
Detecting Suspicious Behavior in Surveillance Images
Deep Transfer Learning With Field-Based Measurements for Large Area Classification
Accelerating Active Learning with Transfer Learning
Data Marketplace for Efficient Data Placement
Constructing and Exploring Composite Items Using Max-valid Bundles
Keyphrase Extraction Using Semantic Networks Structure Analysis
Tensor Regression Based on Linked Multiway Parameter Analysis
Knowledge Discovery across Documents through Concept Chain Queries
Speeding up Array Query Processing by Just-In-Time Compilation
Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching
Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series
Real-world Application Facilitating Trustworthy Human-Robot Collaboration with Innovative Explainable Neuro-symbolic Reasoning
Large Data Clustering Using Quadratic Programming: A Comprehensive Quantitative Analysis
Semi-Supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity
Jaccard Median for Ego-network Segmentation
Analytics-Enabled Disaster Preparedness and Emergency Management
SIMPLE: A Strategic Information Mining Platform for Licensing and Execution
Enhancing Sentiment Classification Performance Using Bi-Tagged Phrases
A New Algorithm Based on Shared Pattern-Tree to Mine Shared Emerging Patterns
The Impact of AIGC on Organizational Knowledge Creation : From the Perspective of Adaptive Structuration Theory
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics
Deal Closure Prediction based on User's Browsing Behaviour of Sales Content
Fairness-aware Learning through Regularization Approach
Rényi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines
Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem
MARGIN: Maximal Frequent Subgraph Mining
Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features
Trust-based positional forgery detection in AI-driven autonomous intersection management using hybrid graph-based reinforcement learning
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering
A Taxi Driving Fraud Detection System
A Stochastic Game Theoretic Model for Expanding ATM Services
Assessing the Significance of Groups in High-Dimensional Data
A Study of Language Model for Image Retrieval
GoGP: Fast Online Regression with Gaussian Processes
Exploratory Analysis of Graph Data by Leveraging Domain Knowledge
A Cure Time Model for Joint Prediction of Outcome and Time-to-Outcome
Accurate Estimation of the Degree Distribution of Private Networks
Anomaly Detection in Car-Booking Graphs
Active Learning Based Rule Extraction for Regression
STARLET: Multi-document Summarization of Service and Product Reviews with Balanced Rating Distributions
AnySCAN: An Efficient Anytime Framework with Active Learning for Large-Scale Network Clustering
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
Lexical Resource for Medical Events: A Polarity Based Approach
Maintenance of Sequential Patterns for Record Deletion
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Objective-Oriented Utility-Based Association Mining
Handling Class Overlap and Imbalance to Detect Prompt Situations in Smart Homes
Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance
Factor Analysis for Anonymization
Discovering Truths from Distributed Data
K-D Decision Tree: An Accelerated and Memory Efficient Nearest Neighbor Classifier
Extremely Fast Hoeffding Adaptive Tree
Exploring Uncertainty Methods for Centrality Analysis in Social Networks
Accurate and Fast Estimation of Temporal Motifs Using Path Sampling
Extracting Information from Sequences of Financial Ratios with Markov for Discrimination: An Application to Bankruptcy Prediction
Enhancing Bug Localization through Bug Report Summarization
Construction of a Semi-Naive Model to Predict Early Readmission of COPD Patients by Using Quality Care Information
Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Keyword Generation for Search Engine Advertising
Insights from Applying Sequential Pattern Mining to E-commerce Click Stream Data
Network Hypothesis Testing Using Mixed Kronecker Product Graph Models
Robust Densest Subgraph Discovery
Exploring Large Language Models for Low-Resource IT Information Extraction
Knowledge Discovery from Citation Networks
Ranking-Based Multi-source Rating Aggregation with Social Contexts
Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling
Learning Bayesian Networks from Incomplete Data Based on EMI Method
An Attention Ensemble Based Approach for Multilabel Profanity Detection
11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011
Triple-Shapelet Networks for Time Series Classification
Task Assignment Optimization in Collaborative Crowdsourcing
MedCat: A Framework for High Level Conceptualization of Medical Notes
End-to-End Deep Knowledge Tracing by Learning Binary Question-Embedding
Personalized Neural Usefulness Network for Rating Prediction
Communities in Preference Networks: Refined Axioms and Beyond
A Distributed Computing Infrastructure for the Evaluation of Climate Models Using NASA Observational Data
Predicting Rare Events In Temporal Domains
Mining Opinion Attributes from Texts Using Multiple Kernel Learning
ProSecCo: Progressive Sequence Mining with Convergence Guarantees
An Approach for Incremental Semi-supervised SVM
Recent Advancements in Autonomous Intelligent Control Techniques: Design and Implementation
Boosting for Learning Multiple Classes with Imbalanced Class Distribution
A Diffusion of Innovation-Based Closeness Measure for Network Associations
Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization
A Hybrid Learning from Multi-behavior for Malicious Domain Detection on Enterprise Network
Entropy Aware Training for Fast and Accurate Distributed GNN
Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network
An Expected Utility Approach to Active Feature-Value Acquisition
Structural Nonparallel Support Vector Machine Based on LSH for Large-Scale Prediction
FGC-Stream: A novel joint miner for frequent generators and closed itemsets in data streams
Small Language Models for Emotion Recognition in Polish Stock Market Investor Opinions
Highly Parallel Sequential Pattern Mining on a Heterogeneous Platform
k-Nearest Neighbor Classification on First-Order Logic Descriptions
A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets
A Preliminary Approach of Blockchain Technology in Supply Chain System
PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial Network
Abstraction Augmented Markov Models
Combining Behavioral and Social Network Data for Online Advertising
Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts
Castor: Contextual IoT Time Series Data and Model Management at Scale
Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT
PROMIPL: A Probabilistic Generative Model for Multi-Instance Partial-Label Learning
A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems
ChronoCTI: Mining Knowledge Graph of Temporal Relations Among Cyberattack Actions
Co-clustering of Multi-view Datasets: A Parallelizable Approach
Importance Sketching of Influence Dynamics in Billion-Scale Networks
Concentric Ring Loss for Face Forgery Detection
Audio-Based Group Detection for Classroom Dynamics Analysis
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA
Mining Audio, Text and Visual Information for Talking Face Generation
Clustering Geospatial Objects via Hidden Markov Random Fields
Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates
Learning Markov Logic Networks via Functional Gradient Boosting
Role-Behavior Analysis from Trajectory Data by Cross-Domain Learning
Modeling Satire in English Text for Automatic Detection
Visually Contrast Two Collections of Frequent Patterns
Risk Assessment of Atmospheric Hazard Releases Using K-Means Clustering
Query-Sensitive Similarity Measure for Content-Based Image Retrieval
An Efficient Approach to Updating Closeness Centrality and Average Path Length in Dynamic Networks
Using Ontology and Sequence Information for Extracting Behavior Patterns from Web Navigation Logs
Time-Based Ensembles for Prediction of Rare Events in News Stream
Diverse Power Iteration Embeddings and Its Applications
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model
Minimizing Seed Set for Viral Marketing
Collaborative Filtering for Implicit Feedback Datasets
Lightweight Distributed Trust Propagation
Preference Relationship-Based CrossCMN Scheme for Answer Ranking in Community QA
Thorough Analysis of Log Data with Dependency Rules: Practical Solutions and Theoretical Challenges
DBHD: Density-based clustering for highly varying density
Modeling Evaluation Of Continuous Queries on SlidingWindows
Generative Maximum Entropy Learning for Multiclass Classification
Distributed Classification on Peers with Variable Data Spaces and Distributions
Deep Embedded Cluster Tree
TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs
Predicting distribution of a new forest disease using one-class SVMs
TCENR: A Hybrid Neural Recommender for Location Based Social Networks
How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge
RPCL-Based Local PCA Algorithm
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning
Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data
Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages
Bi-gradient Verification for Grad-CAM Towards Accurate Visual Explanation for Remote Sensing Images
Semantically Enhanced Models for Commonsense Knowledge Acquisition
Feature Selection with High-Dimensional Imbalanced Data
Mining Patterns That Respond to Actions
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
A Randomized Approach for Approximating the Number of Frequent Sets
RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs
Cross-tissue, Cross-platform Prediction and Validation of Toxicogenomics Profiles with Deep Learning and Clustering
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Transforming Semi-Honest Protocols to Ensure Accountability
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training
Tuple MapReduce: Beyond Classic MapReduce
News Credibility Evaluation on Microblog with a Hierarchical Propagation Model
Preventing Identity Disclosure in Hypergraphs
Deep Emotions Across Languages: A Novel Approach for Sentiment Propagation in Multilingual WordNets
Signed Directed Social Network Analysis Applied to Group Conflict
Segmentation of Time Series by the Clustering and Genetic Algorithms
The Vegetation Outlook (VegOut): A New Tool for Providing Outlooks of General Vegetation Conditions Using Data Mining Techniques
Distance Metric Learning through Optimization of Ranking
BWC: A Ballast Water Curve Algorithm for Optimizing Ship Fuel Consumption
Closed Frequent Itemset Mining with Arbitrary Side Constraints
Towards Community Discovery in Signed Collaborative Interaction Networks
Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetect
Statistical Independence and Contingency Matrix
Interestingness PreProcessing
Go-Kart Racing Simulator for Reinforcement Learning with Augmented Sim2Real Adaptation
Automatic Construction of N-ary Tree Based Taxonomies
Mining Heavy Subgraphs in Time-Evolving Networks
Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data Mining
Finding Good Itemsets by Packing Data
Unfairness in Distributed Graph Frameworks
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations
The Representative Basis for Association Rules
Exploratory Under-Sampling for Class-Imbalance Learning
Reliable Semi-supervised Learning
A Rule-based Evaluation Method of Local Explainers for Predictive Process Monitoring
iTopicModel: Information Network-Integrated Topic Modeling
Panel Session
LPV: A Log Parser Based on Vectorization for Offline and Online Log Parsing
Big Data Stream Learning with SAMOA
A Data Mining Method to Extract and Rank Papers Describing Coexpression Predicates Semantically
Discovering Association Patterns in Large Spatio-temporal Databases
ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraint
Automated Feature Enhancement for Predictive Modeling using External Knowledge
Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning
VARIABLE QUEST: Network Visualization of Variable Labels Unifying Co-occurrence Graphs
From Pattern Discovery to Pattern Interpretation in Movement Data
Distributed Column Subset Selection on MapReduce
Learning to Reweight Samples with Offline Loss Sequence
Hot Item Mining and Summarization from Multiple Auction Web Sites
LEEM: Lean Elastic EM for Gaussian Mixture Model via Bounds-Based Filtering
Aggregating Tree for Searching in Billion Scale High Dimensional Data
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning
Efficient Top-k Temporal Closeness Calculation in Temporal Networks
Improving I/O Complexity of Triangle Enumeration
Highly Scalable and Provably Accurate Classification in Poincaré Balls
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective
FAARM: Frequent Association Action Rules Mining Using FP-Tree
Moneyball for Academia: Toward Measuring and Maximizing Faculty Performance and Impact
Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering
Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition
Mining Plans for Customer-Class Transformation
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation
Identifying Employees for Re-skilling Using an Analytics-Based Approach
To Love or to Loathe: How is the World Reacting to China's Rise?
An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction
Finding Streams in Knowledge Graphs to Support Fact Checking
SysEvoRecomd: Graph Evolution and Change Learning Based System Evolution Recommender
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks
A Mixed Process Neural Network and its Application to Churn Prediction in Mobile Communications
A Cost-Effective LSH Filter for Fast Pairwise Mining
A Gaussian Process Model for Knowledge Propagation in Web Ontologies
Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning
Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks
dSimpleGraph: A Novel Distributed Clustering Algorithm for Exploring Very Large Scale Unknown Data Sets
A Hybrid Strategy for Clustering Data Mining Documents
An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners
CSNN: Contextual Sentiment Neural Network
New Quality Indexes for Optimal Clustering Model Identification with High Dimensional Data
Density Connected Clustering with Local Subspace Preferences
Semi-Supervised Graph Attention Networks for Event Representation Learning
Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport
Least Cost Influence in Multiplex Social Networks: Model Representation and Analysis
Generalized Few-Shot Node Classification
Hypergraph Contrastive Learning for Drug Trafficking Community Detection
Learning to Rank for Query-Focused Multi-document Summarization
Reviewer Profiling Using Sparse Matrix Regression
Human-interactive annealing for turning threat to opportunity in technology development
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process
The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection
OpinioNetIt: A Structured and Faceted Knowledge-base of Opinions
Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems
Pointwise reliability metrics for machine learning model predictions: three different approaches
Learning Node Representations from Noisy Graph Structures
Scalable Hashing-Based Network Discovery
Tell me Something My Friends do not Know: Diversity Maximization in Social Networks
Text Classification Models for Web Content Filtering and Online Safety
Rethinking Dice Loss for Medical Image Segmentation
Speculative Markov Blanket Discovery for Optimal Feature Selection
HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization
Abnormal Entity-Aware Knowledge Graph Completion
FPGA-Accelerated Hadoop Cluster for Deep Learning Computations
Learning About People's Attitude Towards Food Available in India and Its Implications for Fair AI-based Systems
A Standard Bibliography Recommended Method Based on Topic Model and Fusion of Multi-feature
Combining Collective Classification and Link Prediction
Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis
Generalized Framework for Syntax-Based Relation Mining
Top-k Link Recommendation in Social Networks
A Contrast Pattern Based Clustering Quality Index for Categorical Data
Scalable Explanation of Inferences on Large Graphs
A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data
Deep Convolutional Neural Network and Multi-view Stacking Ensemble in Ali Mobile Recommendation Algorithm Competition: The Solution to the Winning of Ali Mobile Recommendation Algorithm
Fine-Grain Perturbation for Privacy Preserving Data Publishing
Bootstrapping Rule Induction
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees
Semantic-Based Recommendation Across Heterogeneous Domains
Variable Selection for Efficient Nonnegative Tensor Factorization
A Scalable Algorithm for Discovering Topologies in Social Networks
An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias
Enhancing Multi-factor Friend Recommendation in Location-based Social Networks
Using Discriminant Analysis for Multi-class Classification
Mining Relevant Text from Unlabelled Documents
Comparative Study of Association Rule Mining and MiSTIC in Extracting Spatio-temporal Disease Occurrences Patterns
Hierarchical Multilabel Classification with Minimum Bayes Risk
Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms
Improving Nearest Neighbor Classifier Using Tabu Search and Ensemble Distance Metrics
Understanding the Impact of Socio-Economic and Environmental Factors for Disease Outbreak in Developing Countries
Merging Interface Schemas on the Deep Web via Clustering Aggregation
Detection of Significant Sets of Episodes in Event Sequences
The Mixture of Multi-kernel Relevance Vector Machines Model
Sparse Boolean Matrix Factorizations
Semi-Supervised Multi-label Dimensionality Reduction
Dynamic Time Warping Based on Cubic Spline Interpolation for Time Series Data Mining
Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization
On Fairness-Aware Learning for Non-discriminative Decision-Making
An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science
MoonKV: Optimizing Update-intensive Workloads for NVM-based Key-value Stores
Supervised Inductive Learning with Lotka-Volterra Derived Models
Neural Analysis of Mobile Radio Access Network
Regression on High-Dimensional Inputs
Finding Robust Itemsets under Subsampling
Inference of Protein-Protein Interactions by Unlikely Profile Pair
Unifying Change - Towards a Framework for Detecting the Unexpected
Robust Language Learning via Efficient Budgeted Online Algorithms
Dominance Programming for Itemset Mining
DeepAD: A Deep Learning Based Approach to Stroke-Level Abnormality Detection in Handwritten Chinese Character Recognition
Event2vec: Heterogeneous Hypergraph Embedding for Event Data
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures