yusuke1997/dblp-id-title huggingface dataset:
Many-Valued Rough Sets Based on Tied Implications
Link Communities Detection via Local Approach
Formal Concept Analysis and Set-Valued Information Systems
An Attribute Reduction of Rough Set Based on PSO
Linear Necessity Measures and Their Applications to Possibilistic Linear Programming
Multiagent Framework for Bio-data Mining
Hierarchical Multi-granulation Sequential Three-Way Decisions
A Supervised and Multivariate Discretization Algorithm for Rough Sets
Three-Way Decisions Based Multi-label Learning Algorithm with Label Dependency
Nearest Neighbor Condensation Based on Fuzzy Rough Set for Classification
Rough Sets - International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part II
The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model
Bayesian Decision Theory for Dominance-Based Rough Set Approach
Parallel Computation in Finding Near Neighbourhoods
Partial First-order Logic with Approximative Functors Based on Properties
On Transitive Uncertainty Mappings
Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-quaternary Ammonium Chlorides
Time Synchronization for OFDM Systems with Narrowband Interference
Applying Threshold SMOTE Algoritwith Attribute Bagging to Imbalanced Datasets
A VPRSM Based Approach for Inducing Decision Trees
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets
Applications of Approximate Reducts to the Feature Selection Problem
Computing the Point-to-Point Shortest Path: Quotient Space Theory's Application in Complex Network
Optimal Scale Selections in Consistent Generalized Multi-scale Decision Tables
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators
A Formal Study of a Generalized Rough Set Model Based on Relative Approximations
Concept-Oriented Attribute Reduction in Three-Way Concept Analysis
Tolerance Relations and Rough Approximations in Incomplete Contexts
Attribute Reduction Based Expected Outputs Generation for Statistical Software Testing
Rough Shadowed Set: Hybridization of Rough Set and Shadowed Set
Rough Cluster Algorithm Based on Kernel Function
Using Genetic Algorithm for Traffic Light Control System with a Pedestrian Crossing
Notes on Rough Sets and Formal Concepts
iPDO: An Effective Feature Depth Estimation Method for 3D Face Reconstruction
Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions
Intra-cluster Similarity Index Based on Fuzzy Rough Sets for Fuzzy C-Means Algorithm
Recognition of Internet Portal Users on the Basis of Their Behaviour
Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part II
Multi-view Fusion Enhanced Social Text Representation for Depression Detection
Attribute Reduction in Multi-source Decision Systems
On Importance of Rows for Decision Tables
Parallel Reducts: A Hashing Approach
Formalizing Lattice-Theoretical Aspects of Rough and Fuzzy Sets
Granular Computing and Sequential Three-Way Decisions
Three-Way Cost-Performance Approximate Attribute Reduction
Optimising the Attribute Order in Fuzzy Rough Rule Induction
Likelihood-Based Sampling from Databases for Rule Induction Methods
Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs through Mixed Samples Clustering
Maximal Invariable Update Operator Based on Splitting
KNN Ensemble Learning Integration Algorithm Based on Three-Way Decision
GA-CtabDiff: Graph-Augmented Diffusion Model for Mixed-Type Tabular Data Generation
Possibility Distributions Generated by Intuitionistic sf L-Fuzzy Sets
Dynamic Maintenance of Three-Way Decision Rules
Attribute Reduction Using Functional Dependency Relations in Rough Set Theory
Applying Rough Set-Based Feature Selection Method to Spam Classification
Modern ICT and Mechatronic Systems in Contemporary Mining Industry
Minimum Spanning Tree Based Spatial Outlier Mining and Its Applications
A Novel Frequency Offset Estimation Method for Distributed MIMO Systems with Large Estimation Range
Probabilistic Rough Set Model Based on Dominance Relation
A Neural Network Pattern Recognition Approach to Automatic Rainfall Classification by Using Signal Strength in LTE/4G Networks
A Time-Reduction Strategy to Feature Selection in Rough Set Theory
Unsupervised Granular-Ball Partitioning Algorithm Based on KL Divergence
A New Fitness Function for Solving Minimum Attribute Reduction Problem
Petri Nets over Ontological Graphs: Conception and Application for Modelling Tasks of Robots
A Novel Approach to Attribute Reduction in Formal Concept Lattices
A Variable Precision Covering Generalized Rough Set Model
Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct
A Cognitive Evaluation for Meetings in Software Development Process
Granular-Ball Three-Way Decision
The Problem of Finding the Simplest Classifier Ensemble is NP-Hard - A Rough-Set-Inspired Formulation Based on Decision Bireducts
Methods to Edit Multi-label Training Sets Using Rough Sets Theory
Research of Spatio-temporal Similarity Measure on Network Constrained Trajectory Data
A Rough Neurocomputing Approach for Illumination Invariant Face Recognition System
Heterogeneous Co-transfer Spectral Clustering
Granular Approach in Knowledge Discovery - Real Time Blockage Management in Fire Service
Improved Distance Measure of Intuitionistic Fuzzy Sets and its Application in Pattern Recognition
Efficient Gene Selection with Rough Sets from Gene Expression Data
Semantically Enhanced Clustering in Retail Using Possibilistic K-Modes
Case-Based Reasoning Using Gradual Rules Induced from Dominance-Based Rough Approximations
Uncertainty and Feature Selection in Rough Set Theory
On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning
Comprehensive Operational Control of the Natural and Anthropogenic Territory Safety Based on Analytical Indicators
Two-Phase Classification Based on Three-Way Decisions
Iris Recognition with Adaptive Coding
A Topological Approximation Space Based on Open Sets of Topology Generated by Coverings
Cross Language Information Extraction Knowledge Adaptation
Handling Intra-class Dissimilarity and Inter-class Similarity for Imbalanced Skin Lesion Image Classification
Electromagnetism-like Mechanism with Force Decay Rate Great Deluge for the Course Timetabling Problem
A Proposal of the Sub-attributes Based β-Dependency in Rough Sets and Its Calculation
Approximate Semantic Query Based on Multi-agent Systems
Efficient Local Protein Structure Prediction
Multi-criteria Attribute Ranking Based on Rough Sets and Interval-Valued Fuzzy Sets
On Attribute Reduction of Rough Set Based on Pruning Rules
Covering-Based Optimistic Multigranulation Decision-Theoretic Rough Sets Based on Maximal Descriptors
Using VPRS to Mine the Significance of Risk Factors in IT Project Management
Feature and Label Association Based on Granulation Entropy for Deep Neural Networks
An Information-Theoretic Interpretation of Thresholds in Probabilistic Rough Sets
Multi-view Graph Convolutional Network via Granular-Ball Computing
Soft Sets and Soft Modules
An Approach for the Neuropsychological Diagnosis of Alzheimer's Disease: A Hybrid Model in Decision Making
An Extension of Pawlak's Flow Graphs
A Divide-and-Conquer Method Based Ensemble Regression Model for Water Quality Prediction
A Class-Specific Attribute Reduction Acceleration Algorithm Based on Neighborhood Rough Set
Hierarchical Machine Learning - A Learning Methodology Inspired by Human Intelligence
Granular-Based Partial Periodic Pattern Discovery over Time Series Data
Rules for Ontology Population from Text of Malaysia Medicinal Herbs Domain
Remote Sensing Image Data Storage and Search Method Based on Pyramid Model in Cloud
Methods Based on Pawlak's Model of Conflict Analysis - Medical Applications
Transformation Semigroups for Rough Sets
Interpretations of Lower Approximations in Inclusion Degrees
A Robust Long-Term Pedestrian Tracking-by-Detection Algorithm Based on Three-Way Decision
Rough Set Attribute Reduction in Decision Systems
Attribute Reduction on Distributed Incomplete Decision Information System
Logic on Similarity Based Rough Sets
Theoretical Study of Granular Computing
F-granulation, Generalized Rough Entropy and Pattern Recognition
Membrane Systems and Multiset Approximation: The Cases of Inner and Boundary Rule Application
Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach
Dynamic and Discernibility Characteristics of Different Attribute Reduction Criteria
Superficial Method for Extracting Social Network for Academics Using Web Snippets
Construction of α-Decision Trees for Tables with Many-Valued Decisions
Chinese Emotion Recognition Based on Three-Way Decisions
A Multi-view Decision Model Based on CCA
MOGBC: Multi-objective Driven Granular Ball Clustering
Non-deterministic Information in Rough Sets: A Survey and Perspective
FPGA in Rough Set Based Core and Reduct Computation
Two Types of a Zone-Based Clustering Method for Wireless Sensor Networks
Application of Greedy Heuristics for Feature Characterisation and Selection: A Case Study in Stylometric Domain
Monitoring the Depth of Anesthesia Using Discrete Wavelet Transform and Power Spectral Density
Incremental Rules Induction Based on Rule Layers
Support Vector Machines Based Image Interpolation Correction Scheme
A Scientometrics Study of Rough Sets in Three Decades
Ranking by Rough Approximation of Preferences for Decision Engineering Applications
On Optimal Approximations of Arbitrary Relations by Partial Orders
Applying Rough Sets to Data Tables Containing Possibilistic Information
On Behavior of Statistical Indices in Incremental Context
Attention-Driven with Gaussian Processes for Weakly Supervised Hemorrhage Detection in Brain CT Scans
Concept Approximation Based on Rough Sets and Judgment
Rough Matroids Based on Dual Approximation Operators
Research on Mapping Mechanism of Learning Expression
Singular and Principal Subspace of Signal Information System by BROM Algorithm
Pneumonia Detection in Chest X-Ray Images with Deep Learning
Ordered Weighted Average Based Fuzzy Rough Sets
Comparative Study of Type-2 Fuzzy Sets and Cloud Model
Studies on Reducing the Necessary Data Size for Rule Induction from the Decision Table by STRIM
Swarm Intelligent Tuning of One-Class nu -SVM Parameters
Many-Valued Dynamic Object-Oriented Inheritance and Approximations
Bipartite Graphs and Coverings
Adaptive K-means Algorithm Based on Three-Way Decision
A Framework of Three-Way Cluster Analysis
The Description of Isomorphism Between Concept Lattices Based on the Special Datas
An Approach for Hospital Planning with Multi-Agent Organizations
The Visual Analysis of Three-Way Decision Based on Decision-Theoretic Rough Set: A Perspective of Fusing Two-Way Decision Pair
A Web-Based Learning Support System for Rough Sets
Rough Sets and Knowledge Technology - 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings
Identifying Important Concepts in the Concept Lattice Based on Concept Indices
Hybridizing Meta-heuristics Approaches for Solving University Course Timetabling Problems
Rseslib 3: Open Source Library of Rough Set and Machine Learning Methods
Unsupervised KeyPhrase Extraction Based on Multi-granular Semantics Feature Fusion
Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints
Detecting Overlapping Communities Using Distributed Neighbourhood Threshold in Social Networks
Multi-stage Optimization of Matchings in Trees with Application to Kidney Exchange
Rough Set Approach to Sufficient Statistics
A New Trace Clustering Algorithm Based on Context in Process Mining
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets
Studies on CART's Performance in Rule Induction and Comparisons by STRIM - In a Simulation Model for Data Generation and Verification of Induced Rules
Question Answering System Based on Ontology and Semantic Web
An Iterative Method for Quasi-Variational-Like Inclusions with Fuzzy Mappings
Optimization on OLSR Protocol for Lower Routing Overhead
Opponent Learning for Multi-agent System Simulation
Worm Harm Prediction Based on Segment Procedure Neural Networks
Multiple-Category Classification with Decision-Theoretic Rough Sets
Fuzzy Measures and Granular Computing
A Tabu-Based Memetic Approach for Examination Timetabling Problems
A Rough Set Penalty Function for Marriage Selection in Multiple-Evaluation Genetic Algorithms
A Rough Set Approach to Incomplete Data
A Rough Set Approach to Data with Missing Attribute Values
Multi-objective Search for Comprehensible Rule Ensembles
Parametrized γ-Decision Valuation for Variable Precision Rough Set Model
Anomaly Intrusion Detection Using Incremental Learning of an Infinite Mixture Model with Feature Selection
A Quick Incremental Updating Algorithm for Computing Core Attributes
A Conflict Analysis Model Based on Three-Way Decisions
Qualitative Approximations of Fuzzy Sets and Non-classical Three-Valued Logics (I)
A Qualitative Requirement and Quantitative Data Transform Model
A Parallel Matrix-Based Approach for Computing Approximations in Dominance-Based Rough Sets Approach
A Spatial Clustering Method for Points-with-Directions
Three-Way Decisions in Dynamic Decision-Theoretic Rough Sets
Composite Sequential Three-Way Decisions
Adversarial Transfer Learning for Predicting Drug Sensitivity in Single-Cell Data
Entropies and Co-entropies for Incomplete Information Systems
Linguistic Dynamic Systems for Computing with Words and Granular Computing
Comparison of Two Models of Probabilistic Rough Sets
Paraconsistent Logics: A Survey Focussing on the Rough Set Approach
Predicting Medium-Term Trends of Stock Market Indexes with Deep Learning
Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-Valued Decisions from Closed Classes
Maximizing Influence Spread in a New Propagation Model
Facial Expression Recognition Based on Rough Set Theory and SVM
An Approach for Automatically Reasoning Consistency of Domain-Specific Modelling Language
New Neighborhood Based Rough Sets
Definable and Rough Sets in Covering-Based Approximation Spaces
Three Granular Structure Models in Graphs
Generalized Ideals and Co-granular Rough Sets
Study on Fuzzy Comprehensive Evaluation Model of Education E-government Performance in Colleges and Universities
Contextual Probability Estimation from Data Samples - A Generalisation
Analysis of Rough and Fuzzy Clustering
A Community Detecting Algorithm Based on Granular Computing
A Granular-Ball SVM Based on Three-Way Decision
Classification Rule Mining Based on Particle Swarm Optimization
An Automatic Virtual Calibration of RF-Based Indoor Positioning with Granular Analysis
Incremental Sequential Three-Way Decision Using a Deep Stacked Autoencoder
Rough Sets - International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part I
Multi-granularity Classification Rule Discovery Using ERID
Three-Way Decisions Cost Model Based on Continuous Domain
A Three-Way Decision Model Based on Intuitionistic Fuzzy Decision Systems
The Matroidal Structures of the Second Type of Covering-Based Rough Set
A Competition Strategy to Cost-Sensitive Decision Trees
Rule Set Complexity for Incomplete Data Sets with Many Attribute-Concept Values and "Do Not Care" Conditions
Probabilistic Estimation for Generalized Rough Modus Ponens and Rough Modus Tollens
Utilizing DTRS for Imbalanced Text Classification
Three-Way Decisions and Three-Way Clustering
The Multi-purpose Role of the Relational Approach to Classic and Generalized Approximation Spaces. A Tutorial
Rough Sets by Indiscernibility Relations in Data Sets Containing Possibilistic Information
Using Domain Knowledge in Initial Stages of Knowledge Discovery in Databases - Tutorial Description
Decidability in Pre-rough Algebras: Extended Abstract
Rough-Fuzzy Clustering: An Application to Medical Imagery
Rough Neuro Voting System for Data Mining: Application to Stock Price Prediction
Mixed Pooling for Convolutional Neural Networks
A Semi-supervised Three-Way Clustering Framework for Multi-view Data
Closures of Intuitionistic Fuzzy Relations
Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part I
Considerations on Rule Induction Methods by the Conventional Rough Set Theory from a View of STRIM
Credit Rating Method with Heterogeneous Information
On Axiomatic Characterization of Approximation Operators Based on Atomic Boolean Algebras
Descent Rules for Championships
Sentiment Analysis with Automatically Constructed Lexicon and Three-Way Decision
New Models of Three-Way Conflict Analysis for Incomplete Situation Tables
Three-Way Decisions with DEA Approach
Fractal Analysis Approaches to Granular Computing
A New Formulation of Multi-category Decision-Theoretic Rough Sets
On Fuzzy Rough Set Algebras in Infinite Universes
Three-Way Dicision Community Detection Algorithm Based on Local Group Information
Rough Sets - International Joint Conference, IJCRS 2023, Krakow, Poland, October 5-8, 2023, Proceedings
Interpretable Disease Progression Path for Next Admission Diagnosis Event Prediction in Healthcare Data via Hybrid Rule-Transformer Network
An Overlapping Clustering Approach with Correlation Weight
Automatically Determining the Number of Clusters Using Decision-Theoretic Rough Set
Learning Multi-granular Features for Harvesting Knowledge from Free Text
An Optimization Viewpoint of Decision-Theoretic Rough Set Model
On the Topological Structure of Rough Soft Sets
A New Approach to Underdetermined Blind Source Separation Using Sparse Representation
Semi-supervised Clustering Ensemble Based on Multi-ant Colonies Algorithm
Application of Gravitational Search Algorithm on Data Clustering
Algebraic Formulations and Geometric Interpretations of Decision-Theoretic Rough Sets
Introducing NRough Framework
Similarity Based Rough Sets
Rough Sets - International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3-7, 2017, Proceedings, Part II
Multi-granularity Attribute Reduction
Inference Processes in Decision Support Systems with Incomplete Knowledge
Granule Oriented Data Warehouse Model
Analysis of Symmetry Properties for Bayesian Confirmation Measures
3D Face Recognition Based on Hybrid Data
A Further Investigation to Relative Reducts of Decision Information Systems
Learning to Extract Web News Title in Template Independent Way
On Granular Rough Computing: Epsilon Homogenous Granulation
On Construction of Partial Association Rules
Methods and Practices of Three-Way Decisions for Complex Problem Solving
Online Multi-label Streaming Feature Selection Based on Neighborhood Approximation Error Rate and Label Correlation
An Improved Hybrid ARIMA and Support Vector Machine Model for Water Quality Prediction
A Decision-Theoretic Rough Set Approach to Multi-class Cost-Sensitive Classification
Subjective Analysis of Price Herd Using Dominance Rough Set Induction: Case Study of Solar Companies
Propositional Compilation for All Normal Parameter Reductions of a Soft Set
Comparative Study on Mathematical Foundations of Type-2 Fuzzy Set, Rough Set and Cloud Model
What's in a Relation? Logical Structures of Modes of Granulation
Orthopartitions in Knowledge Representation and Machine Learning
Decision-Theoretic Rough Sets with Probabilistic Distribution
Protein Interface Residues Recognition Using Granular Computing Theory
A Novel Approach to Attribute Reduction in Concept Lattices
A Hybrid Feature Selection Approach Based on the Bayesian Network Classifier and Rough Sets
Roughness Measures of Intuitionistic Fuzzy Sets
Information Concept Lattice and Its Reductions
A Rapid Granular Method for Minimization of Boolean Functions
Attribute Reduction for Massive Data Based on Rough Set Theory and MapReduce
Mining Associations for Interface Design
Hybrid Differential Evolution for Global Numerical Optimization
Housing Rental Information Management and Prediction System Based on CatBoost Algorithm - a Case Study of Halifax Region
Human Activity Recognition with Trajectory Data in Multi-floor Indoor Environment
Towards Network Autonomy
Rough Mereological Reasoning in Rough Set Theory: Recent Results and Problems
A New Chaos-Based Encryption Method for Color Image
Fast Algorithm for Mining Global Frequent Itemsets Based on Distributed Database
Optimal Sub-Reducts with Test Cost Constraint
Some Comparative Analyses of Data in the RSDS System
Descriptors and Templates in Relational Information Systems
Multi-exposure Correction via Feature Transfer and Calibration
Accidental Wow Defect Evaluation Using Sinusoidal Analysis Enhanced by Artificial Neural Networks
Developing Artwork Pricing Models for Online Art Sales Using Text Analytics
Average Transitive Trustworthy Degrees for Trustworthy Networks
A Multi-Granularity Representation Learning Framework for User Identification Across Social Networks
Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived Embedding
A Novel Fuzzy C-Means Clustering Algorithm
Roughness in Timed Transition Systems Modeling Propagation of Plasmodium
Kernelized Fuzzy Rough Sets
Concept Reduction of Object-induced Three-way Concept Lattices
Reduction of Binary Attributes: Rough Set Theory Versus Formal Concept Analysis
Fast Knowledge Reduction Algorithms Based on Quick Sort
FLPI: An Optimal Algorithm for Document Indexing
Rough Mereological Classifiers Obtained from Weak Variants of Rough Inclusions
Robust Online Satellite Video Object Tracking with Self-adoption Uncertainty
A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research
Computation of Cores in Big Datasets: An FPGA Approach
Sequential Optimization of Approximate Inhibitory Rules Relative to the Length, Coverage and Number of Misclassifications
A Collaborative Filtering Algorithm with Phased Forecast
Study of Dependency Degree and Bayesian Networks for Conflict Scenarios
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review
Evaluation of Incremental Change of Set-Based Indices
Hierarchical Qualitative Inference Model with Substructures
Knowledge Approximations in Multi-scale Ordered Information Systems
Cognitive and Social Decision Making: Three-Way Decision Perspectives
Similarity Measurement and Application of Normal Clouds Based on Bhattacharyya Distance
Naive Bayesian Rough Sets
Interactive Granular Computing
Tolerance-Based Short Text Sentiment Classifier
Sufficiently Near Sets of Neighbourhoods
A New Data Model for Behavioral Based Anomaly Detection in IoT Device Monitoring
Cognitive Informatics and Contemporary Mathematics for Knowledge Manipulation
Combined Analysis of Resting-State fMRI and DTI Data Reveals Abnormal Development of Function-Structure in Early-Onset Schizophrenia
A New Method for Driver Fatigue Detection Based on Eye State
Video Object Detection with MeanShift Tracking
Subsequence Similarity Search Under Time Shifting
A Model Based on SVM for Predicting Spontaneous Combustion of Coal
Multi-label Feature Extraction With Distance-Based Graph Attention Network
Stable Rules Evaluation for a Rough-Set-Based Bipolar Model: A Preliminary Study for Credit Loan Evaluation
Machine Learning in Granular Computing
USV Path Planning Based on Adaptive Fuzzy Reward
Fuzzy Bisimulations in Fuzzy Description Logics Under the Gödel Semantics
General Rough Modeling of Cluster Analysis
Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules
Kernelized Fuzzy Rough Sets-Based Three-Way Feature Selection
Accelerated Feature Selection Based on Granular-Ball Rough Sets
A Three-Way Decision Clustering Approach for High Dimensional Data
A Modified K-Means Clustering with a Density-Sensitive Distance Metric
The Connectivity of the Covering Approximation Space
A Variable Step-Size LMS Algorithm Based on Cloud Model with Application to Multiuser Interference Cancellation
Evoked Potentials Estimation in Brain-Computer Interface Using Support Vector Machine
Integrating Rough Sets with Neural Networks for Weighting Road Safety Performance Indicators