yusuke1997/dblp-id-title huggingface dataset:
Topic Judgment Helps Question Similarity Prediction in Medical FAQ Dialogue Systems
Selecting the Top-k Discriminative Features Using Principal Component Analysis
Predicting Density-Based Spatial Clusters Over Time
An Augmented Transformer Architecture for Natural Language Generation Tasks
DipTransformation: Enhancing the Structure of a Dataset and Thereby Improving Clustering
Evaluation of Discount Effects Using Poisson Regression Based on Interaction Effects between Bargain Scale and Product Category
StructMatrix: Large-Scale Visualization of Graphs by Means of Structure Detection and Dense Matrices
GeoDMA - A Novel System for Spatial Data Mining
MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives
A Constraint-Based Language for Declarative Pattern Discovery
Learning Rules for Anomaly Detection of Hostile Network Traffic
Sparse Hierarchical Tucker Factorization and Its Application to Healthcare
Incremental Anomaly Detection in Graphs
Topic-Aware Social Influence Propagation Models
Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters
Demand Finder: Set Top Box Television Ad Targeting Using a Novel Interactive Data Visualization System
Enhancing Very Fast Decision Trees with Local Split-Time Predictions
Towards Utility Maximization in Regression
Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection
A General Suspiciousness Metric for Dense Blocks in Multimodal Data
Temporal Neighborhood Discovery Using Markov Models
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning
Pruning Adversarially Robust Neural Networks without Adversarial Examples
Analyzing and Detecting Review Spam
One-Class SVM with Privileged Information and Its Application to Malware Detection
Zero-Shot Learning: An Energy Based Approach
Analyzing Trends of Hospital Length of Stay Using Phase-Type Distributions
Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation
Imputation of Missing Links and Attributes in Longitudinal Social Surveys
Biclustering Protein Complex Interactions with a Biclique Finding Algorithm
Improving Graph Representation Learning with Distribution Preserving
RING: An Integrated Method for Frequent Representative Subgraph Mining
Host-Based Anomaly Detection Using Learning Techniques
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection
Cognito: Automated Feature Engineering for Supervised Learning
Partition Aware Connected Component Computation in Distributed Systems
The Propagation of Counteracting Information in Online Social Networks: A Case Study
A Multi Density-Based Clustering Algorithm for Data Stream with Noise
Multidimensional Data Mining Based on Tensor
Domain-Driven Data Mining for IT Infrastructure Support
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data
Revealing True Subspace Clusters in High Dimensions
Reducing Unfairness in Distributed Community Detection
Noise-Resistant Bicluster Recognition
Vote-Based LELC for Positive and Unlabeled Textual Data Streams
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective
A Novel Method for Fast and Accurate Similarity Measure in Time Series Field
Automatic Cleaning and Linking of Historical Census Data Using Household Information
Indexing and Mining Free Trees
Statistical and Machine Learning Approach to Assessing the Environmental Impact on Walking Patterns
Tangled String Diverted for Evaluating Stock Risks: A by Product of Innovators Marketplace on Data Jackets
Contrastive Individual Treatment Effects Estimation
Inference of Gene Regulatory Networks from Time Series Expression Data: A Data Mining Approach
Entire Regularization Path for Sparse Nonnegative Interaction Model
EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs
Causal Discovery from Streaming Features
Flexible Fault Tolerant Subspace Clustering for Data with Missing Values
Learn-Prune-Share for Lifelong Learning
Clustering Large Attributed Graphs: An Efficient Incremental Approach
One Person, One Model - Learning Compound Router for Sequential Recommendation
Combining Multiple Clusterings by Soft Correspondence
Experimental Design with Multiple Kernels
Dynamic Community Detection Algorithm Based on Incremental Identification
Robust PCA Via Nonconvex Rank Approximation
Exploring Markets of Data for Personal Health Information
Concise and interpretable multi-label rule sets
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values
Iterative Classification for Sanitizing Large-Scale Datasets
Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations
VISUAL ANALYTICS OF MOBILITY NETWORK CHANGES OBSERVED USING MOBILE PHONE DATA DURING COVID-19 PANDEMIC
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
Adapting New Categories for Food Recognition with Deep Representation
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent
Scene and Texture Based Feature Set for DeepFake Video Detection
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering
Improving Graph Neural Network with Learnable Permutation Pooling
Graph Collaborative Optimization for Sequential Recommendation
ICDM 2019 Knowledge Graph Contest: Team UWA
SaferCity: A System for Detecting and Analyzing Incidents from Social Media
Predictive Data Mining for Lung Nodule Interpretation
Scalable Distributed Pivot Analysis over Massive Big Data: Models, Paradigms, New Advancements
Feature Transformation with Class Conditional Decorrelation
A New Coupled Metric Learning for Real-time Anomalies Detection with High-Frequency Field Programmable Gate Arrays
Counterfactual Explanations for Time Series Forecasting
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning
Social Preference Ontologies for Enriching User and Item Data in Recommendation Systems
Distributed Data Mining Models as Services on the Grid
From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics
On Mining Biological Signals Using Correlation Networks
Production Estimation for Shale Wells with Sentiment-Based Features from Geology Reports
Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes
Graph-Based Rare Category Detection
Lazy Associative Classification
Certificate Transparency Using Blockchain
Filling-in Missing Objects in Orders
Privacy-Preserving Split Learning via Patch Shuffling over Transformers
Unsupervised Qualitative Scoring for Binary Item Features
A Two-Stage Learning Method for Response Prediction
Attribute-Based Searchable Encryption Scheme in Smart Healthcare Blockchain
Sampling Heterogeneous Networks
Using Emerging Patterns and Decision Trees in Rare-Class Classification
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction
Unknown Type Streaming Feature Selection via Maximal Information Coefficient
Relational Ensemble Classification
OCCAMS - An Optimal Combinatorial Covering Algorithm for Multi-document Summarization
Characterizing Inverse Time Dependency in Multi-class Learning
Generating Breakpoint-based Timeline Overview for News Topic Retrospection
Low-Rank Common Subspace for Multi-view Learning
Data Prefetching for Large Tiered Storage Systems
Improving Personalization Solutions through Optimal Segmentation of Customer Bases
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing
Research on Sentiment Analysis: The First Decade
Approximate Approach to Finding Generic Utility of Sequential Patterns
Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model
GCA: A Coclustering Algorithm for Thalamo-Cortico-Thalamic Connectivity Analysis
A Bi-directional Recommender System for Online Recruitment
Granularity Conscious Modeling for Probabilistic Databases
Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis
Fault Detection in Telecom Networks Using Bi-Level Federated Graph Neural Networks
Direct Zero-Norm Optimization for Feature Selection
Futures Quantitative Investment With Heterogeneous Continual Graph Neural Network
Finding Multi-granularity Community Structures in Social Networks Based on Significance of Community Partition
Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation
Machine Comprehension-Incorporated Relevance Matching
Cut the peaches: image segmentation for utility pattern mining in food processing
Collaborative Learning between Visual Content and Hidden Semantic for Image Retrieval
Clustering with Entropy-based Recombination for Training GCNs on Large Graphs
Multi-step Time Series Prediction in Complex Instrumented Domains
Controlling Propagation at Group Scale on Networks
SVD based Term Suggestion and Ranking System
Early Spatiotemporal Event Prediction via Adaptive Controller and Spatiotemporal Embedding
Probable Biomarker Identification Using Recursive Feature Extraction and Network Analysis
Many Heads are Better than One: Local Community Detection by the Multi-walker Chain
Using Category-Based Adherence to Cluster Market-Basket Data
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
Global and Componentwise Extrapolation for Accelerating Data Mining from Large Incomplete Data Sets with the EM Algorithm
Discovery of Association Rules in Tabular Data
Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record
Imbalanced Datasets Classification by Fuzzy Rule Extraction and Genetic Algorithms
Learning from User Workflows for the Characterization and Prediction of Software Crashes
Towards Stochastic Neural Network via Feature Distribution Calibration
Feature-Oriented Sampling for Fast and Scalable GNN Training
Random KNN
A Comparative Study of RNN for Outlier Detection in Data Mining
An Efficient Fuzzy C-Means Clustering Algorithm
Text Network Exploration via Heterogeneous Web of Topics
Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of Change
A New Method for Multi-view Face Clustering in Video Sequence
Clustering with Attribute-Level Constraints
Learning in the Class Imbalance Problem When Costs are Unknown for Errors and Rejects
Explaining Outliers by Subspace Separability
IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain
Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks
Structure-Preserved Multi-source Domain Adaptation
Perfect: A Hyperbolic Embedding for Joint User and Community Alignment
Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion
Deriving Data-Driven Insights from Climate Extreme Indices for the Continental US
Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness
Multiplicative Algorithms for Constrained Non-negative Matrix Factorization
Modeling Emerging, Evolving and Fading Topics Using Dynamic Soft Orthogonal NMF with Sparse Representation
Putting Pixels in Place: A Storage Layout Language for Scientific Data
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support
Blockchain Data Analytics
Regularized Large Margin Distance Metric Learning
Hierarchical Temporal Memory Method for Time-Series-Based Anomaly Detection
Online Vehicle Dispatch: from Assignment to Scheduling
A New Algorithm for Maintaining Closed Frequent Itemsets in Data Streams by Incremental Updates
Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards
Connections between Mining Frequent Itemsets and Learning Generative Models
User-Device Authentication in Mobile Banking Using APHEN for Paratuck2 Tensor Decomposition
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation
A Comparison Study on Algorithms for Incremental Update of Frequent Sequences
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models
Sensor Network Localization for Moving Sensors
Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation
Active Evaluation of Classifiers on Large Datasets
Releasing the SVM Classifier with Privacy-Preservation
Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference
Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis
Accurate Causal Inference on Discrete Data
Efficient Episode Mining with Minimal and Non-overlapping Occurrences
Differentially Private Anomaly Detection with a Case Study on Epidemic Outbreak Detection
Exploring Network Embedding for Efficient Message Routing in Opportunistic Mobile Social Networks
Similarity-Based Active Learning for Image Classification Under Class Imbalance
The Independence of Fairness-Aware Classifiers
PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph
Quick Mining of Isomorphic Exact Large Patterns from Large Graphs
Deep Generation of Heterogeneous Networks
Detecting Volatility Shift in Data Streams
Scalable Clustering Using PACT Programming Model
Modeling Information Diffusion in Implicit Networks
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
A Machine Learning Approach to Non-uniform Spatial Downscaling of Climate Variables
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
Self-supervision meets kernel graph neural models: From architecture to augmentations
NeuCEPT: Learn Neural Networks' Mechanism via Critical Neurons with Precision Guarantee
A Graph-Theoretic Method for Mining Functional Modules in Large Sparse Protein Interaction Networks
Agent Assignment for Process Management: Competency-Driven Dynamic Resource Management Methodology
Robust Spectral Learning for Unsupervised Feature Selection
Efficient Proper Length Time Series Motif Discovery
Deep Headline Generation for Clickbait Detection
Automatic Web Page Classification in a Dynamic and Hierarchical Way
An Element-Wise Weights Aggregation Method for Federated Learning
Uncertainty Aware Clustering for Behaviour in Enterprise Networks
Discovering Similar Patterns for Characterising Time Series in a Medical Domain
Infinite forecast combinations based on Dirichlet process
Preference-aware Group Task Assignment in Spatial Crowdsourcing: A Mutual Information-based Approach
Global Convolutional Neural Processes
Online Learning of Acyclic Conditional Preference Networks from Noisy Data
Fuzzy Related Classification Approach Based on Semantic Measurement for Web Document
Non-Negative Matrix Factorization for Link Prediction Preserving Row and Column Spaces
Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
On Sparse Feature Attacks in Adversarial Learning
Changing Lineup Classifier Ensemble for Drifting Imbalanced Data Streams
Partial Ensemble Classifiers Selection for Better Ranking
Twitter Trending Topic Classification
Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection
Analyzing Dynamical Activities of Co-occurrence Patterns for Cooking Ingredients
National Leaders' Twitter Speech to Infer Political Leaning and Election Results in 2015 Venezuelan Parliamentary Elections
Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method
Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging
Learning Robust Representations with Graph Denoising Policy Network
Semi-Supervised Community Detection Using Structure and Size
Privacy Preserving Data Classification with Rotation Perturbation
Summarizing Contrasts by Recursive Pattern Mining
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Rare Category Characterization
Evolutionary Algorithms for Selecting the Architecture of a MLP Neural Network: A Credit Scoring Case
Pattern-Based Topic Models for Information Filtering
A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data
Discovering Implicit Redundancies in Network Communications for Detecting Inconsistent Values
A Systemic Framework for the Field of Data Mining and Knowledge Discovery
Scalable Multi-instance Learning
Frequent Closed Itemset Mining with Privacy Preserving for Distributed Databases
A Multi-Source Information Learning Framework for Airbnb Price Prediction
Knowledge Discovery from Diagrammatically Represented Data
A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search
Incremental Quantization for Aging Data Streams
The Anatomy of a Hierarchical Clustering Engine for Web-page, News and Book Snippets
Designing New Product Scenarios for Patent by Human-Interactive Annealing with Pictogram
Deep Multi-kernel Clustering Network
Online Nearest Neighbor Search in Binary Space
Tree Planar Languages
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
A Hierarchical Knowledge and Interest Propagation Network for Recommender Systems
Multi-label Answer Aggregation Based on Joint Matrix Factorization
RepComment: A Fair Comment-Sentiment Representation System
Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data
Visual Context Learning with Big Data Analytics
Efficiently Mining Frequent Closed Partial Orders
Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech
A Heterogeneous Spatiotemporal Network for Lightning Prediction
Core Network Based Multi-label Classification in Large-Scale Social Network Environments
Predicting User Roles in Social Networks Using Transfer Learning with Feature Transformation
Fast Visual Trajectory Analysis Using Spatial Bayesian Networks
Mining Motifs in Massive Time Series Databases
Nearest neighbors with incremental learning for real-time forecasting of electricity demand
A Large-Scale Ensemble Learning Framework for Demand Forecasting
Randomized Response and Balanced Bloom Filters for Privacy Preserving Record Linkage
Evaluating Fraud Detection Algorithms Using an Auction Data Generator
Generalizing Version Space Support Vector Machines for Non-Separable Data
Hierarchical Agglomerative Clustering Based T-outlier Detection
A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data
Intent-Aware Contextual Recommendation System
Learning the Latent Semantic Space for Ranking in Text Retrieval
SIMPLE: Interactive Analytics on Patent Data
Differentially Private Causal Inference Under Hierarchical Design
Transitivity-Encoded Graph Attention Networks for Complementary Item Recommendations
Sequential Network Change Detection with Its Applications to Ad Impact Relation Analysis
Interaction-Based Clustering of Multivariate Time Series
Anchor Text Mining for Translation of Web Queries
Efficient Discovery of Confounders in Large Data Sets
On Spectral Analysis of Signed and Dispute Graphs
DeepGAR: Deep Graph Learning for Analogical Reasoning
A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences
Finding Event Videos via Image Search Engine
Anomaly Detection on Dynamic Bipartite Graph with Burstiness
Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation
Video2Text: Learning to Annotate Video Content
A Generalized Linear Threshold Model for Multiple Cascades
Context-Aware Approximate String Matching for Large-Scale Real-Time Entity Resolution
Profit Maximization over Social Networks
Large-Scale Sequential Utility Pattern Mining in Uncertain Environments
Spatiotemporal Life-Log Mining of Wheelchair Users' Driving for Visualizing Accessibility of Roads
Learning Sequential Behavior Representations for Fraud Detection
A Novel Disparity Refinement Method Based on Semi-Global Matching Algorithm
A Conscience On-line Learning Approach for Kernel-Based Clustering
A Blended Deep Learning Approach for Predicting User Intended Actions
Video-based learning of sign languages: one pre-train to fit them all
BlockPKI: An Automated, Resilient, and Transparent Public-Key Infrastructure
Learning-Based Inversion-Free Model-Data Integration to Advance Ecosystem Model Prediction
Temporally-Reweighted Dirichlet Process Mixture Anomaly Detector
Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering
Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series
Learning Collaborative Filtering and Its Application to People to People Recommendation in Social Networks
Significance of Episodes Based on Minimal Windows
A Probabilistic Behavior Model for Discovering Unrecognized Knowledge
Privacy-Sensitive Bayesian Network Parameter Learning
An Integrated Model for Crime Prediction Using Temporal and Spatial Factors
Bit Sequences and Biclustering of Text Documents
Financial Data Analysis with PGMs Using AMIDST
MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering
Weighted Feature Subset Non-negative Matrix Factorization and Its Applications to Document Understanding
Using Betweenness Centrality to Identify Manifold Shortcuts
Ensemble Learning for Spectral Clustering
Who Links to Whom: Mining Linkage between Web Sites
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
Detection of Precursors to Aviation Safety Incidents Due to Human Factors
Few-Shot Learning Based on Attention Relation Compare Network
Sample Selection for Maximal Diversity
Uncertain Time Series Classification with Shapelet Transform
Hyperbolae are No Hyperbole: Modelling Communities That are Not Cliques
Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification
Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance
Next Generation of Journey Planner in a Smart City
Dimension Reduction for Supervised Ordering
Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers
RIXA - Explaining Artificial Intelligence in Natural Language
Automatically Finding Images for Clinical Decision Support
Multitask Multiclass Support Vector Machines
Designing and Analyzing A/B Tests in an Online Marketplace
Sparsified Subgraph Memory for Continual Graph Representation Learning
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets
Mining Genes in DNA Using GeneScout
Contrary to Popular Belief Incremental Discretization can be Sound, Computationally Efficient and Extremely Useful for Streaming Data
Classification by CUT: Clearance under Threshold
Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data
Obtaining Best Parameter Values for Accurate Classification
Topick: Accurate Topic Distillation for User Streams
Five Year Life Expectancy Calculator for Older Adults
ExCoDE: a Tool for Discovering and Visualizing Regions of Correlation in Dynamic Networks
Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions
Online Learning in Variable Feature Spaces with Mixed Data
Congressional Vote Analysis Using Signed Networks
Network Identification and Authentication
What is the Dimension of Your Binary Data?
CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network
Information Extraction: Unstructured to Structured for ESG Reports
Deep Entire Space Cross Networks for Estimating Treatment Effect Under Unmeasured Confounding
A Distributed Fair Machine Learning Framework with Private Demographic Data Protection
Using Data Mining to Estimate Missing Sensor Data