yusuke1997/dblp-id-title huggingface dataset:
Predicting Value-at-Risk with Risk-aware Mutual Attention Mechanism
Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features
A Simple KNN Algorithm for Text Categorization
Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering
Many Sorted Observational Calculi for Multi-Relational Data Mining
A Triclustering Approach for Time Evolving Graphs
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation
Latent Factor SVM for Text Categorization
An Online Clustering Algorithm That Ignores Outliers: Application to Hierarchical Feature Learning from Sensory Data
Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications
Attentive-Feature Transfer based on Mapping for Cross-domain Recommendation
Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures
A Probabilistic Address Parser Using Conditional Random Fields and Stochastic Regular Grammar
Learning Spectral Embedding for Semi-supervised Clustering
Semi-supervised Failure Prediction for Oil Production Wells
Inverse Time Dependency in Convex Regularized Learning
A Bayesian Hierarchical Model for Comparing Average F1 Scores
Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection
Online Outlier Detection of Energy Data Streams Using Incremental and Kernel PCA Algorithms
Suppressing Data Sets to Prevent Discovery of Association Rules
Extracting Representative Tags for Flickr Users
GenERes: A Genealogical Entity Resolution System
Understanding Helicoverpa armigera Pest Population Dynamics related to Chickpea Crop Using Neural Networks
Chance Discovery in Credit Risk Management
Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud
An Analytics Approach for Proactively Combating Voluntary Attrition of Employees
A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data
SLPA: Uncovering Overlapping Communities in Social Networks via a Speaker-Listener Interaction Dynamic Process
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
Sample-Rank: Weak Multi-Objective Recommendations Using Rejection Sampling
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection
Significance Analysis and Improved Discovery of Differentially Co-expressed Gene Sets in Microarray Data
Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning
Discovering Structural Anomalies in Graph-Based Data
Paired Evaluators Method to Track Concept Drift: An Application for Hedge Funds Operations
Privacy-Preserving Auto-Driving: A GAN-Based Approach to Protect Vehicular Camera Data
Application of Applied KOTO-FRAME to the Five-Story Pagoda Aseismatic Mechanism
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit
Understanding Service Quality and Customer Churn by Process Discovery for a Multi-National Banking Contact Center
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
A Markov Network Model for Natural Language Semantic Matching
Quantitative Association Rules Based on Half-Spaces: An Optimization Approach
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
Improving Automatic Query Classification via Semi-Supervised Learning
Channel-Attentive Graph Neural Networks
INFRANET: Forecasting intermittent time series using DeepNet with parameterized conditional demand and size distribution
A Tolerance Graph Approach for Domain-Specific Assembly of Next Generation Sequencing Data
Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering
A Visual Data Mining Framework for Convenient Identification of Useful Knowledge
Functional Trees for Classification
Boosting the Feature Space: Text Classification for Unstructured Data on the Web
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Matching Words for Out-of-distribution Detection
Optimal Routing for Autonomous Taxis using Distributed Reinforcement Learning
HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Inferring the Root Cause in Road Traffic Anomalies
Adaptive Graph Neural Networks for Cold-Start Multimedia Recommendation
Causal Discovery with Flow-based Conditional Density Estimation
A Generalized Fast Subset Sums Framework for Bayesian Event Detection
GDClust: A Graph-Based Document Clustering Technique
Towards a Flexible Embedding Learning Framework
Multi-aspect Sentiment Analysis with Topic Models
MAISON - Multimodal AI-based Sensor platform for Older Individuals
Cost-Sensitive Parsimonious Linear Regression
Beware of What You Share: Inferring Home Location in Social Networks
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
Classification of 3D Surface Data Using the Concept of Vertex Unique Labelled Subgraphs
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
Extensible Markov Model
Order-Preserving Metric Learning for Mining Multivariate Time Series
Personalized Large Language Models
Paradigmatic Clustering for NLP
Exploiting User Feedback for Expert Finding in Community Question Answering
Behavior Informatics and Analytics: Let Behavior Talk
Extracting Frequent Subsequences from a Single Long Data Sequence: A Novel Anti-Monotonic Measure and a Simple On-Line Algorithm
A Genetic Algorithm to Discover Flexible Motifs with Support
Semantic Concept Learning through Massive Internet Video Mining
Getting the Most Out of Ensemble Selection
Pelican: Continual Adaptation for Phishing Detection
Emotion Recognition in Social Network Texts Based on A Multilingual Architecture
Convex-Concave Hull for Classification with Support Vector Machine
Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering
MaPle: A Fast Algorithm for Maximal Pattern-based Clustering
Learning to Use a Learned Model: A Two-Stage Approach to Classification
Underdetermined Blind Source Separation for Hard Clipped Stereophonic Mixtures
ENiD: An Encrypted Web Pages Traffic Identification Based on Web Visiting Behavior
Discovering Multi-type Correlated Events with Time Series for Exception Detection of Complex Systems
Interactive Attention Networks for Semantic Text Matching
Deep and Confident Prediction for Time Series at Uber
Unsupervised Scanning Behavior Detection Based on Distribution of Network Traffic Features Using Robust Autoencoders
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series
Detecting Community Kernels in Large Social Networks
Cryptocurrency Pump and Dump Schemes: Quantification and Detection
GINA: Group Gender Identification Using Privacy-Sensitive Audio Data
Tracking Topics of Influential Tweets on Fukushima Disaster Over Long Periods of Time
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis
Non-Euclidean Internet Coordinates Embedding
Revealing Cluster Formation over Huge Volatile Robotic Data
Automatic City Region Analysis for Urban Routing
Mining Mutually Dependent Patterns
Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization
System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu
MoCham: Robust Hierarchical Clustering Based on Multi-objective Optimization
Incremental Integration of Probabilistic Models Learned from Data
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit
Pseudolikelihood EM for Within-network Relational Learning
Joint Classification Model of Topic and Polarity: Finding Satisfaction and Dissatisfaction Factors from Airport Service Review
Mining Generalized Substructures from a Set of Labeled Graphs
Link Prediction in Large Networks by Comparing the Global View of Nodes in the Network
Mining Summaries of Propagations
Learning Periods from Incomplete Multivariate Time Series
Emotion Retrieval Using Generative Models: An Exploratory Study
Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding
Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection
One-Class Collaborative Filtering
Analyzing Informal Caregiving Expression in Social Media
Classification-Based Clustering Evaluation
Privacy-preserving Distributed Clustering using Generative Models
CoFKM: A Centralized Method for Multiple-View Clustering
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Optimal Correlation Clustering via MaxSAT
On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control
Generating Explanations for Recommendation Systems via Injective VAE
Document Clustering and Cluster Topic Extraction in Multilingual Corpora
Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering
Topological Recurrent Neural Network for Diffusion Prediction
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces
Automatic Learning Common Definitional Patterns from Multi-domain Wikipedia Pages
Deep Convolutional Neural Networks for Multi-instance Multi-task Learning
Correlating Social Interconnections of Users with Spatio-Temporal Check-Ins Behavior
Ensembles of Cascading Trees
Correlation of Brand Mentions in Social Media and Web Searching Before and After Real Life Events: Phase Analysis of Social Media and Search Data for Super Bowl 2015 Commercials
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data
A Scalable Algorithm for Clustering Sequential Data
Learning Spatial Decision Trees for Land Cover Mapping
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning
Elastic Nonnegative Matrix Factorization
Non-negative Multiple Tensor Factorization
Energy-efficiency Management Framework of a Ship based on Data Classification Technique
Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties
The Chain of Narrative Framework: Advancing Controllable Generation of Financial Themes
Prominent Features of Rumor Propagation in Online Social Media
Location Extraction from Social Networks with Commodity Software and Online Data
Identification and Disambiguation of Product Mentions with Information Retrieval and Problem Specific Methods
Video M : Multi-video Synopsis
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
Conditional Independence Testing via Latent Representation Learning
Gender Classification by Deep Learning on Millions of Weakly Labelled Images
Data Analysis in Los Angeles Long Beach with Seasonal Time Series Model
A Spatio-temporal Simulation Model for Movement Data Generation
Random Projection Clustering on Streaming Data
Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing
GQNAS: Graph Q Network for Neural Architecture Search
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties
Bottom-Up Generalization: A Data Mining Solution to Privacy Protection
Recommendation with Hybrid Interest Model
A New MCA-Based Divisive Hierarchical Algorithm for Clustering Categorical Data
Efficient and Invariant Convolutional Neural Networks for Dense Prediction
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification
Controllable Visit Trajectory Generation with Spatiotemporal Constraints
From Geolocation-Based Only to Semantically-Aware Digital Advertising: A Neural Embedding Approach
Knowledge-Guided Semantics Adjustment for Improved Few-Shot Classification
A Method for Generating Ontologies in Requirements Domain for Searching Data Sets in Marketplace
Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases
The Rough Set Approach to Association Rule Mining
Bengali Cyberbullying: Detection, Categorization, and Gender Bias Analysis
Distances and (Indefinite) Kernels for Sets of Objects
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning
A New Classification Method of Signature Network Node Based on Potential Space Projection
Multi-label Classification with Meta-Labels
TrustedChain: A Blockchain-based Data Sharing Scheme for Supply Chain
BiVA: Bitcoin Network Visualization & Analysis
Efficient and Effective Entity Alignment for Evolving Temporal Knowledge Graphs
Flow-Based Influence Graph Visual Summarization
Mining Periodic Behavior in Dynamic Social Networks
MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream
Multiple Subscriber-Identity-Module Detection Using Social Network Analysis Techniques
Accurate Estimation of Generalization Performance for Active Learning
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results
Compressed Nonnegative Sparse Coding
Shortest-Path Kernels on Graphs
An Efficient Algorithm for Finding Continuous Coherent Evolution Bicluster in Time-Series Data
Orthogonal Neighborhood Preserving Projections
Linearly-Combined Web Sensors for Spatio-temporal Data Extraction from the Web
An Experimental Comparison of Supervised and Unsupervised Approaches to Text Summarization
Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets
Context-Aware Visual Exploration of Molecular Datab
Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping
Margin-Bounded Confidence Scores for Out-of-Distribution Detection
Hierarchical Classification by Expected Utility Maximization
Monotone Relabeling in Ordinal Classification
Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images
Streaming Dynamic Graph Neural Networks for Continuous-Time Temporal Graph Modeling
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Predicting Directed Links Using Nondiagonal Matrix Decompositions
Multi-document Summarization Using Minimum Distortion
MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset
Levels of disability in the older population of England: An unsupervised and self-supervised learning approach
Traffic Flow Prediction Based on Deep Neural Networks
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning
Collaborative Filtering with Aspect-Based Opinion Mining: A Tensor Factorization Approach
Measuring Similarity for Multidimensional Sequences
Discriminative Mixed-Membership Models
Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity
Zero-Shot Link Prediction in Knowledge Graphs with Large Language Models
Spatiotemporal Relational Probability Trees: An Introduction
Asset Valuation Technique for Network Management and Security
Automatic Topic Identification Using Webpage Clustering
Robust Meta Network Embedding against Adversarial Attacks
Discovering Overlapping Groups in Social Media
Boosted Trajectory Calibration for Traffic State Estimation
Robust Prediction and Outlier Detection for Spatial Datasets
Semi-Automatic Semantic Annotation of Images
What Do Audio Transformers Hear? Probing Their Representations For Language Delivery & Structure
FlExPat: Flexible Extraction of Sequential Patterns
A Tree-based Fuzzy Average-Utility Mining Algorithm
Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation
Classification for Orange Varieties Using Near Infrared Spectroscopy
TubeTagger - YouTube-based Concept Detection
A Fast and Flexible Clustering Algorithm Using Binary Discretization
EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
Sliding HyperLogLog: Estimating Cardinality in a Data Stream over a Sliding Window
Learning Document Labels from Enriched Click Graphs
Boosting Relational Sequence Alignments
Feature-Based Prediction of Unknown Preferences for Nearest-Neighbor Collaborative Filtering
Enabling Fast Lazy Learning for Data Streams
A Data-Driven Approach for Ancillary Bundle Recommendation to Segmented Users
Query-Efficient Target-Agnostic Black-Box Attack
HNP3: A Hierarchical Nonparametric Point Process for Modeling Content Diffusion over Social Media
One-Class Matrix Completion with Low-Density Factorizations
Abduction Dealing with Potential Values and Its Datasets
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias
Interpretable Subgraph Feature Extraction for Hyperlink Prediction
Recommending Social Events from Mobile Phone Location Data
COAL: Convolutional Online Adaptation Learning for Opinion Mining
Fast and Exact Out-of-Core K-Means Clustering
Efficient Mining of Subsample-Stable Graph Patterns
Neural Networks for Astronomical Data Analysis and Bayesian Inference
Scalable and Distributed Sea Port Operational Areas Estimation from AIS Data
Large Database Schema Matching using Data Mining Techniques
Efficiently Mining Top-K High Utility Sequential Patterns
Spotting Fake Reviews via Collective Positive-Unlabeled Learning
Auto-Tuning Kernel Mean Matching
Kernel-Based Clustering with Automatic Cluster Number Selection
Fast Community Discovery and Its Evolution Tracking in Time-Evolving Social Networks
A High-Performance Distributed Algorithm for Mining Association Rules
Deep Learning Prediction of Incoming Rainfalls: An Operational Service for the City of Beijing China
A Theoretical Analysis of the Fuzzy K-Means Problem
Degree-Related Bias in Link Prediction
User Preference Learning based on Automatic Environment Classification for General Debiasing in Recommendation Systems
Multi-sensor Remote Sensing Image Change Detection: An Evaluation of Similarity Measures
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding
A New Proposal for Score Normalization in Biometric Signature Recognition Based on Client Threshold Prediction
Stock Price Prediction by Using Hybrid Sequential Generative Adversarial Networks
Parallel Frequent Pattern Mining without Candidate Generation on GPUs
Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach
Test-Cost Sensitive Naive Bayes Classification
Mining Discrete Patterns via Binary Matrix Factorization
LFGCN: Levitating over Graphs with Levy Flights
Class Imbalance, Redux
Demonstrating Interactive Multi-resolution Large Graph Exploration
Collaborative Filtering for Coordinated Monitoring in Sensor Networks
Latent Graph Inference and Validation
Discovery of Versatile Temporal Subspace Patterns in 3-D Datasets
Learning to Rank for Cross-Device Identification
Effective and Robust Mining of Temporal Subspace Clusters
Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data
Modeling the Effects of Microgravity on Oxidation in Mitochondria: A Protein Damage Assessment across a Diverse Set of Life Forms
Improved Multi Label Classification in Hierarchical Taxonomies
Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values
Differentiable Bayesian Structure Learning with Acyclicity Assurance
Process-Oriented Iterative Multiple Alignment for Medical Process Mining
High-Dimensional Dependency Structure Learning for Physical Processes
Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis
Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains
Compressed Spectral Clustering
Research Paper Recommendation Based on the Knowledge Gap
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
Sequence Classification Based on Delta-Free Sequential Patterns
Factorized Similarity Learning in Networks
"The 100 Most Influential Persons in History": A Data Mining Perspective
Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures
Mining Top-K Frequent Closed Patterns without Minimum Support
Automatic Component Identification Based on Time Series Classification for Intelligent Devices
Reducing performance Bias for Unbalanced Text Mining
MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning
Hierarchical Classifier Combination and Its Application in Networks Intrusion Detection
Endless and Scalable Knowledge Table Extraction from Semi-structured Websites
Deep Twin Support Vector Machine
Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach
Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation
A Business Intelligence Solution for Frequent Pattern Mining on Social Networks
Applying Deep Learning to Stereotypical Motor Movement Detection in Autism Spectrum Disorders
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures
Post-Processing of Discovered Association Rules Using Ontologies
Feature Selection for Building Cost-Effective Data Stream Classifiers
Decision Trees for Uplift Modeling
Spatio-temporal Multi-dimensional Relational Framework Trees
Understanding Deep Networks with Gradients
Nonparametric Poisson Factorization Machine
Integer Programming for Multi-class Active Learning
Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines
Interpretability of Sudden Concept Drift in Medical Informatics Domain
Near-Optimal Noisy Low-Tubal-Rank Tensor Completion via Singular Tube Thresholding
Locating POS Terminals from Credit Card Transactions
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications
Beyond Boolean Matrix Decompositions: Toward Factor Analysis and Dimensionality Reduction of Ordinal Data
AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks
MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections
Towards Optimal Discriminating Order for Multiclass Classification
Event Detection for Urban Dynamic Data Streams
DAAD: A Framework for Detecting Agitation and Aggression in People Living with Dementia Using a Novel Multi-modal Sensor Network
Route Discovery from Mining Uncertain Trajectories
An Extension of Gradient Boosted Decision Tree Incorporating Statistical Tests
Financial Risk Assessment via Long-term Payment Behavior Sequence Folding
SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning
A Fast Algorithm to Cluster High Dimensional Basket Data
Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization
What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data
Two Phase Based Spammer Detection in Weibo
Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes
Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery
Analysing Political Opinions Using Redescription Mining
Contrastive Learning for Adapting Language Model to Sequential Recommendation
Dynamic Analytics for Spatial Data with an Incremental Clustering Approach
Anomaly Detection and Visualization for Electricity Consumption Data
Maximum Margin Clustering with Pairwise Constraints
Efficient Adoption Maximization in Multi-layer Social Networks
Augmenting Graph Convolution with Distance Preserving Embedding for Improved Learning
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Multi-source Information Trustworthiness Analysis
Blockchain Applications to combat the global trade of falsified drugs
Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks