Invited Papers, IRSS President Forum
Orthopartitions in Knowledge Representation and Machine Learning
Rough Sets and Fuzzy Sets in Interactive Granular Computing
MGCC: Multi-Granularity Cognitive Computing
Three-way decision, three-world conception, and explainable AI
Rough set theory and applications
scikit-weak: A Python library for Weakly Supervised Machine Learning
Applying Rough Set Theory for Digital Forensics Evidence Analysis
Binary boundaries and power set space of graded rough sets and their correlative ECG (Electrocardiogram) data analysis
Neighborhood Approximate Reducts-based Ensemble Learning Algorithm and Its Application in Software Defect Prediction
Granular computing and applications
USV Path Planning Based on Adaptive Fuzzy Reward
A Naive Bayes Classifier Based on Neighborhood Granulation
Matrix representations and interdependency on an L-fuzzy covering-based rough set
Uncertainty-aware Deep Open-set Object Detection
Classification and deep learning
Rule Acquisition in Generalized One-sided Decision Systems
Density peak clustering based split-and-merge
Multi-label feature extraction with distance-based graph attention network
Multi-scale Subgraph Contrastive Learning for Link Prediction
Video Object Detection with MeanShift Tracking
MP-KMeans: K-Means with Missing Pattern for Data of Missing Not at Random
Conceptual Knowledge Discovery and Machine Learning Based on Three-way Decisions and Granular Computing
Using Users Expression Propensity for Sarcasm Detection based on Sequential Three-way Decision
Concept Reduction of Object-induced Three-way Concept Lattices
An Attention-Based Token Pruning Method for Vision Transformers
Three-way approximate criterion reduction in multi-criteria decision analysis
Close Contact Detection in Social Networks via Possible Attribute Analysis
Uncertainty in Three-way Decisions, Granular Computing, and Data Science
A Probabilistic Approach to Analyzing Agent Relations in Three-Way Conflict Analysis Based on Bayesian Confirmation
Hierarchical multi-granulation sequential three-way decisions
KNN Ensemble Learning Integration Algorithm based on Three-way Decision
Attribute Reduction of Crisp-Crisp Concept Lattices Based on Three-Way Decisions
Kernelized Fuzzy Rough Sets-based Three-Way Feature Selection
Adaptive K-means Algorithm Based on Three-Way Decision
3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification
Rough-Fuzzy Clustering based on Adaptive Weighted Values and Three-way Decisions.