yusuke1997/dblp-id-title huggingface dataset:
SSDT: A Scalable Subspace-Splitting Classifier for Biased Data
Large-Scale Elastic Net Regularized Linear Classification SVMs and Logistic Regression
Data-Driven Anomaly Detection for Power System Generation Control
Learning Label Specific Features for Multi-label Classification
Accelerated SGD for Tensor Decomposition of Sparse Count Data
Identifying Basketball Plays from Sensor Data; Towards a Low-Cost Automatic Extraction of Advanced Statistics
Mining Heterogeneous Associations from Pediatric Cancer Data by Relational Concept Analysis
Deep Learning Based Dynamic Pricing Model for Hotel Revenue Management
Decision Trees for Functional Variables
Secure Learning and Mining in Adversarial Environments [Extended Abstract]
Detecting adversaries in Crowdsourcing
Modeling High-Level Behavior Patterns for Precise Similarity Analysis of Software
Detecting Outliers in Streaming Time Series Data from ARM Distributed Sensors
Near Real-Time Service Monitoring Using High-Dimensional Time Series
Toward Unsupervised Outlier Model Selection
Algorithms for Mining the Evolution of Conserved Relational States in Dynamic Networks
Personalized Grade Prediction: A Data Mining Approach
Efficient Semi-Supervised Adversarial Training without Guessing Labels
TRIAS - An Algorithm for Mining Iceberg Tri-Lattices
Modeling Unreliable Data and Sensors: Using F-measure Attribute Performance with Test Samples from Low-Cost Sensors
Nonlinear Causal Structure Learning for Mixed Data
Ultra fast warping window optimization for Dynamic Time Warping
Accurately Quantifying under Score Variability
Towards Scalable and Accurate Online Feature Selection for Big Data
Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure
Large Scale KNN-Graph Approximation
Using Information-Theoretic Measures to Assess Association Rule Interestingness
Feature Weighting and Selection Using Hypothesis Margin of Boosting
Efficient Reservoir Sampling for Transactional Data Streams
SVM and Graphical Algorithms: A Cooperative Approach
Not the same, yet similar? - On commonalities and differences between VQPCA and ORCLUS
Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award)
Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning
Measuring and Predicting Systemic Risk in the Chinese Banking System
Unsupervised Clustering of Symbol Strings and Context Recognition
An Empirical Study on Sentiments in Twitter Communities
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Mining for Core Patterns in Stock Market Data
Privacy Violations Using Microtargeted Ads: A Case Study
MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data
Efficient Mining of Closed Sequential Patterns on Stream Sliding Window
Tree-structured Partitioning Based on Splitting Histograms of Distances
Applying Data Mining Techniques to Direct Marketing: Challenges and Solutions
Discriminative Regularized Deep Generative Models for Semi-Supervised Learning
Cox Regression with Correlation Based Regularization for Electronic Health Records
An Evaluation Framework for Temporal Subspace Clustering Approaches
FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate Control
Risk-Aware Dynamic Reserve Prices of Programmatic Guarantee in Display Advertising
DFA-G: A Unified Programming Model for Vertex-Centric Parallel Graph Processing
Incorporate Hashing with Multi-view Learning
Sentiment Polarity Classification Using Structural Features
Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation
Classification of Recurrent Concepts with Metafeature-based Model Selection
Operating Range Estimation for Price Optimization
Topical Influential User Analysis with Relationship Strength Estimation in Twitter
Multi-Dictionary Tensor Decomposition
Granger Causality for Time-Series Anomaly Detection
Emotion Classification Based on Audiovisual Information Fusion Using Deep Learning
Video Sentiment Analysis for Child Safety
Parallelization with Multiplicative Algorithms for Big Data Mining
Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition
Predicting Travel Time of Bus Journeys with Alternative Bus Services
Predicting the Geographical Origin of Music
Constrained Gaussian Process Regression for Gene-Disease Association
Super Learning with Repeated Cross Validation
BioGraph: Knowledge Discovery and Exploration in the Biomedical Domain
Experiments with Random Projections Ensembles: Linear Versus Quadratic Discriminants
Autoregressive Tensor Factorization for Spatio-Temporal Predictions
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data
Influence and Profit: Two Sides of the Coin
XOR-Based Boolean Matrix Decomposition
Towards Summarizing Popular Information from Massive Tourism Blogs
Using Balancing Terms to Avoid Discrimination in Classification
Transfer Hawkes Processes with Content Information
Model Selection with Combining Valid and Optimal Prediction Intervals
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning
Efficient Mining of Closed Induced Ordered Subtrees in Tree-structured Databases
Efficient Kernel Clustering Using Random Fourier Features
Outlier Exposure in Visual Industrial Anomaly Detection - Survey
Human Activity Recognition: From Controlled Lab Experiments to Competitive Live Evaluation
The Role of Context in Abductive Reasoning and Context Retrieval from Clauses - Towards IMDJ
MetaSieve: Performance vs. Complexity Sieve for Time Series Forecasting
Scalable Model-based Clustering by Working on Data Summaries
A Framework of Review Analysis for Enhancement of Business Decision Making
Exploratory Adversarial Attacks on Graph Neural Networks
Spammers Detection from Product Reviews: A Hybrid Model
Bandits Under the Influence
Scalable Joins over Big Data Streams: Actual and Future Research Trends
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks
Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations
Mixup-Inspired Video Class-Incremental Learning
Frequent Pairs in Data Streams: Exploiting Parallelism and Skew
Pattern Mining in POS Data using a Historical Tree
Probabilistic Neural-Kernel Tensor Decomposition
Adversarial Label-Flipping Attack and Defense for Graph Neural Networks
Minimum Information Loss Based Multi-kernel Learning for Flagellar Protein Recognition in Trypanosoma Brucei
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps
Analysis of Organizational Structure Through Cluster Validation Techniques: Evaluation of Email Communications at an Organizational Level
Robust Projective Dictionary Learning by Joint Label Embedding and Classification
Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields
Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences
Temporally Dynamic Session-Keyword Aware Sequential Recommendation System
ST-Attn: Spatial-Temporal Attention Mechanism for Multi-step Citywide Crowd Flow Prediction
Stream Prediction Using Representative Episode Rules
Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems
General Averaged Divergence Analysis
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation
Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification
Robust Regression via Online Feature Selection Under Adversarial Data Corruption
Hierarchical Explanations for Text Classification Models: Fast and Effective
Heterogeneous Constraint Propagation with Constrained Sparse Representation
Neural Conditional Energy Models for Multi-label Classification
e-Trucks Realize Four Zeros Expectations, The Challenge by Market of Data
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems
Fast Compressive Spectral Clustering
Explainable Anomaly Detection for District Heating Based on Shapley Additive Explanations
Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval
J-Recs: Principled and Scalable Recommendation Justification
Detecting gene regulatory network rewiring as changes in marker regulatory associations using only single-cell gene expression data
Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation
A Bayesian Framework for Regularized SVM Parameter Estimation
Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process
EMIT - Event-Based Masked Auto Encoding for Irregular Time Series
Adapting classification rule induction to subgroup discovery
Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation
Temporal Data Mining in Dynamic Feature Spaces
Permutation Strategies for Mining Significant Sequential Patterns
Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data
Identification of Causal Variables for Building Energy Fault Detection by Semi-supervised LDA and Decision Boundary Analysis
Constrained Non-Affine Alignment of Embeddings
An Efficient Chain Structure to Mine High-Utility Sequential Patterns
Matrix Profile XXIX: C 22 MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector
Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences
Detecting Multi-Modal Fake AIGC from the Perspective of Emotional Manipulation Purpose
Graph Based Classification of MRI Data Based on the Ventricular System
LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering
Context-Specific Recommendation System for Predicting Similar PubMed Articles
Block-Organized Topology Visualization for Visual Exploration of Signed Networks
Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion
Disentangling the Information Flood on OSNs: Finding Notable Posts and Topics
TransRank: A Novel Algorithm for Transfer of Rank Learning
Unsupervised Anomaly Detection on Multisensory Data from Honey Bee Colonies
Learning with Progressive Transductive Support Vector Machine
High-Dimensional Density Estimation for Data Mining Tasks
A new multiple instance algorithm using structural information
Text Mining for a Clear Picture of Defect Reports: A Praxis Report
Analysis of Spectral Space Properties of Directed Graphs Using Matrix Perturbation Theory with Application in Graph Partition
Twin Kernel Embedding with Back Constraints
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery
Identifying Medical Terms Related to Specific Diseases
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection
Learning Classification with Auxiliary Probabilistic Information
Optimal Window Change Detection
A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction
SR-PredictAO: Session-Based Recommendation with High-Capability Predictor Add-On
Faster Kernels for Graphs with Continuous Attributes via Hashing
Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding
Leveraging Relational Autocorrelation with Latent Group Models
Curation in Chance Discovery
Integration of Fuzzy and Deep Learning in Three-Way Decisions
Sparse Logistic Classifiers for Interpretable Protien Homology Detection
Incremental Clustering on Linked Data
Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data
Robust Commuter Movement Inference from Connected Mobile Devices
Attend2trend: Attention Model for Real-Time Detecting and Forecasting of Trending Topics
Nonlinear L-1 Support Vector Machines for Learning Using Privileged Information
Mining the Most Reliable Association Rules with Composite Items
PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget
Management and Analytics of Big Data Sources in Intelligent Smart Environments: Where We Are and Where We Are Going
Semantic Smoothing for Model-based Document Clustering
Analysis of multivariate time series predictability based on their features
ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers
BRPS: A Big Data Placement Strategy for Data Intensive Applications
Extracting Output Metadata from Scientific Deep Web Data Sources
Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media
Incremental Gaussian Mixture Clustering for Data Streams
Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data
Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation
Steering Information Diffusion Dynamically against User Attention Limitation
Dynamic Truth Discovery on Numerical Data
Beyond Points and Paths: Counting Private Bodies
Ask the Crowd to Find out What's Important
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction
Identifying Media Bias by Analyzing Reported Speech
TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction
NIM: Scalable Distributed Stream Process System on Mobile Network Data
Dynamic Loan Service Monitoring Using Segmented Hidden Markov Models
Validating and Refining Clusters via Visual Rendering
Clustering-training for Data Stream Mining
Learning Joint Embedding for Cross-Modal Retrieval
Faster Univariate Microaggregation for Power Law Distributions: k-Degree-Anonymity for Big Graphs
A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns
Neural Contextual Combinatorial Bandit under Non-stationary Environment
Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric Bounds
PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection
Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network
TeamExp: Top-k Team Formation in Social Networks
Finding Local Anomalies in Very High Dimensional Space
An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis
A Probability Model for Projective Clustering on High Dimensional Data
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics
High Dimensional Matrix Relevance Learning
Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer Churn
Beyond Query: Interactive User Intention Understanding
Most-Surely vs. Least-Surely Uncertain
Heavyweight Pattern Mining in Attributed Flow Graphs
Certainty-Enhanced Active Learning for Improving Imbalanced Data Classification
SuperPart: Supervised Graph Partitioning for Record Linkage
Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries
Discovering Spatial Regions of High Correlation
Generating Realistic Tabular Data with Large Language Models
Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis
Can Shared Nearest Neighbors Reduce Hubness in High-Dimensional Spaces?
Gated Information Bottleneck for Generalization in Sequential Environments
Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations
Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints
A Text Classification Framework with a Local Feature Ranking for Learning Social Networks
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization
Detecting Patterns of Appliances from Total Load Data Using a Dynamic Programming Approach
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning
Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent Factor Models
The Many Faces of Link Fraud
Kernel Density Metric Learning
Simple Multiple Noisy Label Utilization Strategies
Topic Models over Spoken Language
The Flexible Climate Data Analysis Tools (CDAT) for Multi-model Climate Simulation Data
Iterative Set Expansion of Named Entities Using the Web
A Comparison of Approaches to Chinese Word Segmentation in Hadoop
Similarity Learning for Nearest Neighbor Classification
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting
Overlapping Correlation Clustering
Adversarially Learned Anomaly Detection
Finding Associations and Computing Similarity via Biased Pair Sampling
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series
Ensemble of Diverse Sparsifications for Link Prediction in Large-Scale Networks
Information Source Detection via Maximum A Posteriori Estimation
The Making of a Large-Scale Online Ad Server: Practical Lessons Building One of the World's Largest Online Ad Servers
A Novel Method for Assessing Event Impacts on Event-Driven Time Series
Fast Algorithms for Frequent Itemset Mining from Uncertain Data
Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem
Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification
Corn Grain Yield Prediction Using UAV-based High Spatiotemporal Resolution Multispectral Imagery
Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification
Kernel-Based Weighted Multi-view Clustering
Signed Graph Convolutional Networks
Cascaded Data Mining Methods for Text Understanding, with medical case study
Object Identification with Constraints
Improving Kernel Methods through Complex Data Mapping
Parallel Corpus Approach for Name Matching in Record Linkage
Time Sensitive Ranking with Application to Publication Search
SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial Attack
Generative-Graph Method for Project Duration Estimation
Mining Spatial-Temporal Semantic Trajectory Patterns from Raw Trajectories
Evolutionary Algorithms for Clustering Gene-Expression Data
Finding Time Series Motifs in Disk-Resident Data
Polytopal Complex Construction and Use in Persistent Homology
Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
Handling Generalized Cost Functions in the Partitioning Optimization Problem through Sequential Binary Programming
The Mean and Median Criteria for Kernel Bandwidth Selection for Support Vector Data Description
A Multi-label Ensemble Method Based on Minimum Ranking Margin Maximization
Estimating Taxi Demand-Supply Level Using Taxi Trajectory Data Stream
Robust Distributed Anomaly Detection Using Optimal Weighted One-Class Random Forests
On Precision and Recall of Multi-Attribute Data Extraction from Semistructured Sources
Climate Change Perception in Scientific and Public Sphere
Finding Tenuous Groups in Social Networks
A Label Distribution for Few-shot In-domain Out-of-Scope Detection
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models
CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor Networks
A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data
A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining
An Overview of the CPROD1 Contest on Consumer Product Recognition within User Generated Postings and Normalization against a Large Product Catalog
MERLIN - A Tool for Multi-party Privacy-Preserving Record Linkage
Improving the Prediction Cost of Drift Handling Algorithms by Abstaining
Semi-supervised Clustering Using Bayesian Regularization
EDLT: Enabling Deep Learning for Generic Data Classification
Quantized Adversarial Training: An Iterative Quantized Local Search Approach
Top-k Reliability Search on Uncertain Graphs
Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction
Influence Propagation for Linear Threshold Model with Graph Neural Networks
Topic Modeling Ensembles
Evaluating Attraction in Spatial Point Patterns with an Application in the Field of Cultural History
MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance
Discovering Frequent Arrangements of Temporal Intervals
Finding Discriminatory Genes: A Methodology for Validating Microarray Studies
Learning to Fuse Music Genres with Generative Adversarial Dual Learning
When Additional Views are Not Free: Active View Completion for Multi-view Semi-Supervised Learning
Knowledge-Based Circulation Growth Model: Applying a Data Marketplace to Concept Design
A Novel and Successful Credit Card Fraud Detection System Implemented in a Turkish Bank
Knowledge Transformation by Cross-Domain Belief Propagation
CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic
A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data
Joint Emotion-Topic Modeling for Social Affective Text Mining
An Efficient Reference-Based Approach to Outlier Detection in Large Datasets
Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows
Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition
Supervised Ordering - An Empirical Survey
Classifier Invariant Approach to Learn from Positive-Unlabeled Data
Linear Computation for Independent Social Influence
Item-Based Top-k Influential User Discovery in Social Networks
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance
Constraint Selection-Based Semi-supervised Feature Selection
A Study of Feature Selection of Magnetogram Complexity Features in an Imbalanced Solar Flare Prediction Data-Set
Macaw: The Machine Learning Magnetometer Calibration Workflow
4D+SNN: A Spatio-Temporal Density-Based Clustering Approach with 4D Similarity
Evaluation and Comparison of Classification Techniques for Network Intrusion Detection
Using and Improving Coding Guides for and by Automatic Coding of PISA Short Text Responses
Boosting Kernel Models for Regression
Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation
Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information
Metric Incremental Clustering of Nominal Data
Learning with Actionable Attributes: Attention -- Boundary Cases!
R2FP: Rich and Robust Feature Pooling for Mining Visual Data
Variable Productivity Adjustment Estimation for Function Point Project Delivery
GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series
Towards Generating Real-World Time Series Data
Quantum Path Integral Inspired Query Sequence Suggestion for User Search Task Simplification
Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks
Anonymizing Graphs Against Weight-Based Attacks
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning
TINA: Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance
A Parallel Algorithm for Enumerating All Maximal Cliques in Complex Network
Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
Trajectory Analysis for Soccer Players
Graph Contrastive Learning with Adversarial Structure Refinement (GCL-ASR)
Extracting Field Oversees' Features in Risk Recognition from Data of Eyes and Utterances
Solving Combinatorial Optimization Problem Over Graph Through QUBO Transformation and Deep Reinforcement Learning