yusuke1997/dblp-id-title huggingface dataset:
Rough Set Model Based on Hybrid Tolerance Relation
Rough Set Theory Applied to Simple Undirected Graphs
Intelligent Failure Diagnosis Algorithm Based on Binary Granule Neural Network
Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering
Further Study of the Fuzzy Reasoning Based on Propositional Modal Logic
Decision Rule Clustering - Comparison of the Algorithms
Conceptual Reduction of Fuzzy Dual Concept Lattices
A New SVM-Based Decision Fusion Method Using Multiple Granular Windows for Protein Secondary Structure Prediction
Towards Multi-adjoint Property-Oriented Concept Lattices
Generating Natural Language Explanations from Knowledge-Based Systems Results, Using Ontology and Discourses Patterns
On the Idea of Using Granular Rough Mereological Structures in Classification of Data
Two-Sorted Modal Logic for Formal and Rough Concepts
Inconsistent Dominance Principle Based Attribute Reduction in Ordered Information Systems
A Three-Way Decision Making Approach to Malware Analysis
Kryszkiewicz's Relation for Indiscernibility of Objects in Data Tables Containing Missing Values
A Machine-People-Government Triangular Model of Smart Agriculture
Families of the Granules for Association Rules and Their Properties
Evidential Clustering or Rough Clustering: The Choice Is Yours
Three-Way Hybrid Sampling Using Granular Balls for Imbalanced Classification
A Tool for Study of Optimal Decision Trees
Inclusion Degrees of Graded Ill-Known Sets
Reduction of Categorical and Numerical Attribute Values for Understandability of Data and Rules
Generalized T-norm and Fractional "AND" Operation Model
A User Profiles Acquiring Approach Using Pseudo-Relevance Feedback
New Models of Three-Way Conflict Analysis Based on Decision-Theoretic Rough Sets
Predicting Movies User Ratings with Imdb Attributes
Application of Quotient Space Theory in Input-Output Relationship Based Combinatorial Testing
Multi-objective Blind Image Fusion
Three-Way Formal Concept Analysis
Applying a Decision Making Model in the Early Diagnosis of Alzheimer's Disease
Application of Granular Computing in Knowledge Reduction
Auxiliary Attributes-Guided Face Age Estimation
Evolutionary Rough K-Means Clustering
Automated Grammar Checking of Tenses for ESL Writing
Hardware Accelerator Design Based on Rough Set Philosophy
Granular Computing and Computational Complexity
Knowledge Reduction in Incomplete Information Systems Based on Dempster-Shafer Theory of Evidence
Feature Selection on Chinese Text Classification Using Character N-Grams
Teaching of Critical Path Networks Using Software Packages
Cross-View Fuzziness and Intra-view Uncertainty-Based Weight Reconstruction for Multi-view Feature Selection
Multi-granularity Complex Network Representation Learning
Estate 360: AI-Driven Centralized Real Estate Platform
The Research of Sampling for Mining Frequent Itemsets
Feature Selection Based on Cross Neighborhood Granular Ball Layer
Three-Way Decision of Granular-Ball Rough Sets Based on Fuzziness
Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature Sets
Rough Sets of Zdzisław Pawlak Give New Life to Old Concepts. A Personal View ...
A Heuristic Reduction Algorithm in IIS Based on Binary Matrix
On Positive-Correlation-Promoting Reducts
Antichain Based Semantics for Rough Sets
Navigational Strategies for Mobile Robots Using Rough Mereological Potential Fields and Weighted Distance to Goal
A New Discriminant Analysis Approach under Decision-Theoretic Rough Sets
Multivariate Ovulation Window Detection at OvuFriend
A Metaphor for Rough Set Theory: Modular Arithmetic
Social Web Videos Clustering Based on Ensemble Technique
A Multi-View Decision Model Based on Decision-Theoretic Rough Set
Improved Unsupervised Anomaly Detection Algorithm
Attribute Reduction Algorithms for Relation Systems on Two Universal Sets
Rough Contexts and Rough-Valued Contexts
A Comparison of Three Graph Partitioning Based Methods for Consensus Clustering
A Three-Way Recommender System for Popularity-Based Costs
An Interpretation of Rough Sets in Incomplete Information Systems within Intuitionistic Fuzzy Sets
Fuzzy-Valued Transitive Inclusion Measure, Similarity Measure and Application to Approximate Reasoning
Rough Sets and Textural Neighbourhoods
Application of the Pairwise Comparison Matrices into a Dispersed Decision-Making System With Pawlak's Conflict Model
A Characterization of Rough Separability
Imprecise Rules for Data Privacy
Metaphor Detection Using Fuzzy Rough Sets
Similarity Based Rough Sets with Annotation
A Customized Architecture for Integrating Agent Oriented Methodologies
Attribute Reduction Based on the Multi-annulus Model
Novel H/ACA Box snoRNA Mining and Secondary Structure Prediction Algorithms
Flow Graphs as a Tool for Mining Prediction Rules of Changes of Components in Temporal Information Systems
Optimized Generalized Decision in Dominance-Based Rough Set Approach
Cost-Sensitive Three-Way Decision: A Sequential Strategy
A Rough Perspective on Information in Extensive Form Games
An Overview of Function Based Three-Way Decisions
Towards Coordination Game Formulation in Game-Theoretic Rough Sets
An Improved Method of Formula Structural Analysis
Cognitive Neuroscience and Web Intelligence
Zdzisław Pawlak: Man, Creator and Innovator ofComputer Sciences - Personal Memories
Face Recognition Using Consistency Method and Its Variants
Frequency-Sensitive Sparse Transformer with Multi-granularity Refinement Network for Image Restoration
Topological Properties of the Pessimistic Multigranulation Rough Set Model
A Novel Hybrid Wind Speed Interval Prediction Model Using Rough Stacked Autoencoder and LSTM
Using Lexical Ontology for Semi-automatic Logical Data Warehouse Design
Knowware: A Commodity Form of Knowledge
ROSA: An Algebra for Rough Spatial Objects in Databases
Dominance-Based Rough Set Approach on Pairwise Comparison Tables to Decision Involving Multiple Decision Makers
Covering Approximations in Set-Valued Information Systems
Near Sets. Toward Approximation Space-Based Object Recognition
Triadic Patterns for Explainable Artificial Intelligence
Rough Sets - International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 - July 3, 2020, Proceedings
Recent Advances in Decision Bireducts: Complexity, Heuristics and Streams
Back Propagation Approach for Semi-supervised Learning in Granular Computing
Decision-Level Sensor-Fusion Based on DTRS
Model Composition in Multi-dimensional Data Spaces
Parallel Implementation of Classification Algorithms Based on MapReduce
Decision Rules Extraction Strategy Based on Bit Coded Discernibility Matrix
Induced Intuitionistic Fuzzy Ordered Weighted Averaging Operator and Its Application to Multiple Attribute Group Decision Making
Multigranulation Rough Sets in Hesitant Fuzzy Linguistic Information Systems
Set-Theoretic Models of Granular Structures
Multi-view Unsupervised Feature Selection Guided by Diversity and Consensus Structure
Differential Evolution Fuzzy Clustering Algorithm Based on Kernel Methods
Rough Sets - International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7-11, 2016, Proceedings
An Integrated Method for Micro-blog Subjective Sentence Identification Based on Three-Way Decisions and Naive Bayes
Normal Fuzzy Three-Way Decision Based on Prospect Theory
Representative-Based Active Learning with Max-Min Distance
Possible Coverings in Incomplete Information Tables with Similarity of Values
A Robust Fuzzy Rough Set Model Based on Minimum Enclosing Ball
Color Image Interpolation Combined with Rough Sets Theory
On kNN Class Weights for Optimising G-Mean and F1-Score
Lung Cancer Risk Prediction Model Trained with Multi-source Data
A Dynamic Unsupervised Feature Selection Method Based on Information Sets and Fuzzy Rough Sets
Rough-Fuzzy Segmentation of Brain MR Volumes: Applications in Tumor Detection and Malignancy Assessment
Rough Set Approximations in an Incomplete Information Table
Bipolar Queries with Dialogue: Rough Set Semantics
The Design of Biopathway's Modelling and Simulation System Based on Petri Net
Studies on the Necessary Data Size for Rule Induction by STRIM
Neighborhood Approximate Reducts-Based Ensemble Learning Algorithm and Its Application in Software Defect Prediction
A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices
The Rough Logic and Roughness of Logical Theories
A Novel Description Language for Two-Agent Dialogue Games
An Efficient BP-Neural Network Classification Model Based on Attribute Reduction
Estimation of Mutual Information: A Survey
Rough Sets - International Joint Conference, IJCRS 2018, Quy Nhon, Vietnam, August 20-24, 2018, Proceedings
MGCC: Multi-Granularity Cognitive Computing
Robust Feature Selection Based on Intuitionistic Hesitant Fuzzy Cross-Correlation and Manifold Learning
Quick Maximum Distribution Reduction in Inconsistent Decision Tables
Dependence and Algebraic Structure of Formal Contexts
A Measure of Inconsistency for Simple Decision Systems over Ontological Graphs
Application of Federated Learning to Prediction of Patient Mortality in Vasculitis Disease
Using Rough Reducts to Analyze the Independency of Earthquake Precursory Items
Classification of MMPI Profiles of Patients with Mental Disorders - Experiments with Attribute Reduction and Extension
Efficient Local Causal Structure Learning with Privacy Preservation
NDER Attribute Reduction via an Ensemble Approach
Rough-Fuzzy Clustering Based on Adaptive Weighted Values and Three-Way Decisions
A Fuzzy-Rough Sets Based Compact Rule Induction Method for Classifying Hybrid Data
Approximate Decision Tree Induction over Approximately Engineered Data Features
Three-Way Decisions Community Detection Model Based on Weighted Graph Representation
Description Logic Based Consistency Checking upon Data Mining Metadata
Sequent Calculi for Varieties of Topological Quasi-Boolean Algebras
Link Prediction for Attribute and Structure Learning Based on Attention Mechanism
Rough Set Theory Applied to Feature Selection
Cross-Weighting Knowledge Distillation for Object Detection
Optimal Approximations with Rough Sets
Path Planning Based on Potential Fields from Rough Mereology
New Models of Three-Way Conflict Analysis Based on Five Level Preferences
Weight Learning for Document Tolerance Rough Set Model
Accuracy Evaluation of the System of Type 1 Diabetes Prediction
3RD: A Multi-criteria Decision-Making Method Based on Three-Way Rankings
Result-Fusion-Based Temporal-Spatial Composite Sequential Three-Way Decisions
Interactive Granular Computing in Rightly Judging Systems
A RFID Based Agile Manufacturing Planning and Control System
Ordered Information Systems and Graph Granulation
A Proposal of Machine Learning by Rule Generation from Tables with Non-deterministic Information and Its Prototype System
Towards Designing Human Centric Systems: A New View at System Modeling with Granular Membership Grades
Topological Space for Attributes Set of a Formal Context
The Rough Membership Function on One Type of Covering-Based Rough Sets and Its Applications
A Statistics-Based Semantic Relation Analysis Approach for Document Clustering
HGAR: Hybrid Granular Algorithm for Rating Recommendation
Classification for Inconsistent Decision Tables
Development of the Data Preprocessing Agent's Knowledge for Data Mining Using Rough Set Theory
On the Hierarchy of Equivalence Classes Provided by Local Congruences
Rough Set Theory on Topological Spaces
The Optimal Estimation of Fuzziness Parameter in Fuzzy C-Means Algorithm
Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction
Rough Sets under Non-deterministic Information
Rough Sets in Incomplete Information Systems with Order Relations Under Lipski's Approach
A Roadmap from Rough Set Theory to Granular Computing
Identifying Protein-Protein Interaction Sites Using Granularity Computing of Quotient Space Theory
Tolerance Methods in Graph Clustering: Application to Community Detection in Social Networks
Granular Approach to Object-Oriented Remote Sensing Image Classification
On Non-pointwise Entropies of Coverings: Relationship with Anti-monotonicity
Fish Swarm Intelligent Algorithm for the Course Timetabling Problem
Axiomatic Definition of Knowledge Granularity and Its Constructive Method
Temporal Relations of Rough Anti-patterns in Software Development
A New Type of Covering-Based Rough Sets
An Effective Principal Curves Extraction Algorithm for Complex Distribution Dataset
Rule-Based Estimation of Attribute Relevance
The Application of Support Vector Machine in Classifying the Causes of Voltage Sag in Power System
Rough Net Approach for Community Detection Analysis in Complex Networks
Rough Set Approaches to Imprecise Modeling
Roughness Approach to Color Image Segmentation through Smoothing Local Difference
Attribute Reduction in Utility-Based Decision-Theoretic Rough Set Models
Rough Sets and Knowledge Technology - 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011. Proceedings
DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network
Research of Knowledge Reduction Based on New Conditional Entropy
Two-Phase Rule Induction from Incomplete Data
Approximate Reduction for the Interval-Valued Decision Table
Crisp-Fuzzy Concept Lattice Based on Interval-Valued Fuzzy Sets
Clinical Narrative Analytics Challenges
Rough Set Analysis of Classification Data with Missing Values
A New Intuitionistic Fuzzy Rough Set Approach for Decision Support
An Image Segmentation Algorithm for Densely Packed Rock Fragments of Uneven Illumination
TSKE: A Dual-Branch Model for Knowledge Graph Embedding with Joint Textual and Structural Information
Research on Data Processing of RFID Middleware Based on Cloud Computing
Real-Time Pressure Monitoring and Control of a Hydraulic System without Sensor
Applying Multi-Criteria Decision Analysis to Global Software Development with Scrum Project Planning
Expression and Processing of Uncertain Information
Absolute Contrasts in Face Detection with AdaBoost Cascade
Learning Models Based on Formal Concept
Community-Based Relational Markov Networks in Complex Networks
On Reduct Construction Algorithms
Self-adapting Cyclic Delay Diversity System
RIONIDA: A Novel Algorithm for Imbalanced Data Combining Instance-Based Learning and Rule Induction
Text Categorization Based on Topic Model
Semi-supervised Vehicle Recognition: An Approximate Region Constrained Approach
Fuzzy Rough Granular Self Organizing Map
Information Granularity and Granular Structure in Decision Making
Comparison of Greedy Algorithms for α-Decision Tree Construction
Rough and Near: Modal History of Two Theories
Approximate Criterion Reduction in Multi-criteria Trilevel Ranking Analysis
Detection of Cancer Patients Using an Innovative Method for Learning at Imbalanced Datasets
Governance of the Redundancy in the Feature Selection Based on Rough Sets' Reducts
Fast Human Detection Using Deformable Part Model at the Selected Candidate Detection Positions
Multi-view Clustering Algorithm Based on Variable Weight and MKL
Attribute Set Dependence in Apriori-Like Reduct Computation
Legal Similar Case Retrieval Model Based on Concept Tree and Optimal Transport
Partial Approximation of Multisets and Its Applications in Membrane Computing
The Extraction Method of DNA Microarray Features Based on Experimental A Statistics
Comparison of Complexity of Regular and Oblivious Decision Trees for Decision Tables from Closed Classes
An Approach for Kernel Selection Based on Data Distribution
Exploring Margin for Dynamic Ensemble Selection
A Mixed Strategy Multi-Objective Coevolutionary Algorithm Based on Single-Point Mutation and Particle Swarm Optimization
Distance-Based Fuzzy-Rough Sets and Their Application to the Classification Problem
Acr2Vec: Learning Acronym Representations in Twitter
A Novel Multimodal Probability Model for Cluster Analysis
A Metadata Diagnostic Framework for a New Approximate Query Engine Working with Granulated Data Summaries
Web Services-Based Digital Library as a CSCL Space Using Case-Based Reasoning
Research on Complete Algorithms for Minimal Attribute Reduction
A Novel Attribute Reduction Approach Based on the Object Oriented Concept Lattice
A Feature Seletion Method Based on Variable Precision Tolerance Rough Sets
Biometric Verification by Projections in Error Subspaces
A Comparison of Six Approaches to Discretization-A Rough Set Perspective
Data Classification Using Rough Sets and Naïve Bayes
An Argumentation Framework for Non-monotonic Reasoning in Description Logic
Uncertainty-Aware Deep Open-Set Object Detection
Adaptive Velocity Threshold Particle Swarm Optimization
Decision Making in Incomplete Information System Based on Decision-Theoretic Rough Sets
A Multi-granularity Network for Time Series Forecasting on Multivariate Time Series Data
Incomplete Multi-view Clustering Based on Joint Concept Decomposition and Anchor Graph Learning
Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data
Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach
Stability Analysis of Model-Based Networked Control System with Unreliable Links
Generalized Fuzzy Regular Filters on Residuated Lattices
Constructing an Optimal Decision Tree for FAST Corner Point Detection
Three-Way Conflict Analysis with Nonlinear Conflict Functions in Fuzzy Situation Tables
Water Quality Prediction Based on an Improved ARIMA- RBF Model Facilitated by Remote Sensing Applications
Scalable Maximal Discernibility Discretization for Big Data
Concept Reduction Method Based on Attribute (Object) Reduction
Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia
What Is Inside Agent Brain: Application of Learning from Examples Using Rough Sets (LEM2) Rule Induction Algorithm to Explain Actions of Vision-Based Machine Learning Agents Trained with Proximal Policy Optimization
Actual Existence Predicate in Mereology and Mereotopology (Extended Abstract)
Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings
Game-Theoretic Risk Analysis in Decision-Theoretic Rough Sets
Towards the Optimal Design of an RFID-Based Positioning System for the Ubiquitous Computing Environment
A Study on Similarity Calculation Method for API Invocation Sequences
Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings
Attribute Reduction in Object Oriented Concept Lattices Based on Congruence Relations
Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions
An Uncertain Control Framework of Cloud Model
Virtual Exposure Bracketing for HDR Imaging Using Fuzzy Membership
A Rough View on Incomplete Information in Games
Generate (F, epsilon )-Dynamic Reduct Using Cascading Hashes
Temporal Reasoning in Urban Growth Simulation
Application of Rough Set Theory for Evaluating Polysaccharides Extraction
Ranking with Partial Orders and Pairwise Comparisons
Mining Incomplete Data - A Rough Set Approach
A New Extension Model of Rough Sets Under Incomplete Information
Steering Angle Prediction Based on Travelable Regions and Bio-Inspired Neural Circuit Policy
Rough Sets and the Algebra of Conditional Logic
3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification
Multiple-Source Approximation Systems: Membership Functions and Indiscernibility
Applying Verbal Decision Analysis in Selecting Specific Practices of CMMI
Conflict Analysis and Information Systems: A Rough Set Approach
The Reduct of a Fuzzy β-Covering
A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection
Case-Based Reasoning Using Dominance-Based Decision Rules
LRLW-LSI: An Improved Latent Semantic Indexing (LSI) Text Classifier
An Attention-Based Token Pruning Method for Vision Transformers
Analysis of User-Weighted π Rough k-Means
On Combining Discretisation Parameters and Attribute Ranking for Selection of Decision Rules
Classification of EEG Signals Using Sampling Techniques and Least Square Support Vector Machines
CMIF: A Cross-Modal Information Fusion Approach for Molecular Property Prediction
Preventing Text Data Poisoning Attacks in Federated Machine Learning by an Encrypted Verification Key
Fusing Land Use Knowledge with Multi-granularity Temporal and Spatial Dependencies for Traffic Accident Prediction
Rough Sets and Knowledge Technology, Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings
Feature Selection, Rule Extraction, and Score Model: Making ATC Competitive with SVM
A Model-Based Decision Support Tool Using Fuzzy Optimization for Climate Change
Mental Imagery Knowledge Representation Mode of Human-Level Intelligence System
Properties of Central Catadioptric Circle Images and Camera Calibration
Feature Selection for Multi-label Learning Using Mutual Information and GA
Deterministic and Nondeterministic Decision Trees for Recognition of Properties of Decision Rule Systems
The High-Activity Parallel Implementation of Data Preprocessing Based on MapReduce
Rough Logics with Possible Applications to Approximate Reasoning
Optimistic Multi-Granulation Fuzzy Rough Set Model Based on Triangular Norm
Advances in the Quotient Space Theory and Its Applications
Integration of Gene Expression and Ontology for Clustering Functionally Similar Genes
Thresholds Determination for Probabilistic Rough Sets with Genetic Algorithms
Dominance-Based Rough Sets Using Indexed Blocks as Granules
Linguistic Variables Construction in Information Table
Rough Sets Based on Possible Indiscernibility Relations in Incomplete Information Tables with Continuous Values
Using Wavelets and Independent Component Analysis for Quantization Index Modulation Watermarking
Approximations on Normal Forms in Rough-Fuzzy Predicate Calculus
Multistage Email Spam Filtering Based on Three-Way Decisions
Three-Way Approximate Criterion Reduction in Multi-Criteria Decision Analysis
Granular Computing: Past, Present, and Future
Rough Fuzzy Concept Analysis via Multilattice
Graph Neural Networks with Direct Reach to Labeled Nodes
Pattern Classification Using Class-Dependent Rough-Fuzzy Granular Space
Entropy Measures of Flow Graphs with Applications to Decision Trees
Rule Acquisition in Generalized One-Sided Decision Systems
Hyp-DAN: Hyperbolic Distance-Aware Attention Networks
Automatic Part of Speech Tagging for Arabic: An Experiment Using Bigram Hidden Markov Model
Comparison of Classical Dimensionality Reduction Methods with Novel Approach Based on Formal Concept Analysis
A Novel Approach to Rental Market Analysis for Property Management Firms Using Large Language Models and Machine Learning
Attribute Reduction in Rough Set Theory and Formal Concept Analysis
Density Peak Clustering Based Split-and-Merge
Poset Approaches to Covering-Based Rough Sets
Quorum Based Data Replication in Grid Environment
An Improved FCM Algorithm for Image Segmentation
A New Method for Focused Crawler Cross Tunnel
Formulating Game Strategies in Game-Theoretic Rough Sets
A Novel Discretizer for Knowledge Discovery Approaches Based on Rough Sets
Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation
Modeling Use-Oriented Attribute Importance with the Three-Way Decision Theory
Multi-label Supervised Manifold Ranking for Multi-instance Image Retrieval
An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions
Performance Comparison to a Classification Problem by the Second Method of Quantification and STRIM
Discernibility Matrix and Rules Acquisition Based Chinese Question Answering System
Introduction to 3DM: Domain-Oriented Data-Driven Data Mining
Characterizing Hierarchies on Covering-Based Multigranulation Spaces
Axiomatic Granular Approach to Knowledge Correspondences
Function S-Rough Sets and Recognition of Financial Risk Laws
MGSMCAN: MultiGranularity Semantic Margin Cross-Annotation Network
Determining Thresholds in Three-Way Decisions: A Multi-object Optimization View
ε-Near Collections
Concept Analysis Using Quantitative Structured Three-Way Rough Set Approximations
Attribute Reduction Method of Fuzzy Rough Sets Based on Improved Overlap Degree