.- Rough Set Applications.
.- Comparison of Complexity of Regular and Oblivious Decision Trees for Decision Tables from Closed Classes.
.- Applying Rough Set based Feature Selection Method to Spam Classification.
.- 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.
.- Quick Neighborhood Rough Set for Hierarchical Classification.
.- (θ,θ*) Operator Driven Intuitionistic Fuzzy Matrix Composite Operation and Its Optimal Application in Medical Diagnosis.
.- User and Item sub contexts Induced Fuzzy Concept Set for Recommendation.
.- Rough Set Theory Applied to Feature Selection.
.- Fusing Land Use Knowledge with Multi granularity Temporal and Spatial Dependencies for Traffic Accident Prediction.
.- A Hybrid Multi attribute Group Decision making Method Using Normal Cloud Model and Multi granularity Information.
.- Anomaly Detection Using Fuzzy Information Entropy for Incomplete Data.
.- Feature Selection and Knowledge Discovery.
.- Feature Selection Based on Cross Neighborhood Granular Ball Layer.
.- A Dynamic Unsupervised Feature Selection Method Based on Information Sets and Fuzzy Rough Sets.
.- Distance guided Pseudo Label Graph Clustering Network.
.- Robust Feature Selection Based on Intuitionistic Hesitant Fuzzy Cross Correlation and Manifold Learning.
.- Adaptive Correlation Incorporated Latent Feature Analysis for Online Sparse Streaming Feature Selection.
.- Accelerated Feature Selection Based on Granular ball Rough Sets.
.- Online Multi label Stream Feature Selection Based on Neighborhood Approximation Error Rate and Label Correlation.
.- Cross view Fuzziness and Intra view Uncertainty based Weight Reconstruction for Multi view Feature Selection.
.- Finding Consistent Pairwise Comparisons with Genetic Algorithms.
.- Multi view Unsupervised Feature Selection Guided by Diversity and Consensus Structure.
.- Cognitive Computing.
.- Legal Similar Case Retrieval Model Based on Concept Tree and Optimal Transport.
.- Enhancing Knowledge Tracing via Random Layer wise Adversarial Training.
.- Incomplete Multi view Clustering Based on Joint Concept Decomposition and Anchor Graph Learning.
.- Frequency sensitive Sparse Transformer with Multi Granularity Refinement Network for Image Restoration.
.- TSKE: A Dual Branch Model for Knowledge Graph Embedding with Joint Textual and Structural Information.
.- Efficient Local Causal Structure Learning with Privacy Preservation.
.- The Connections Between Approximate Three way Concept Lattice and Three way Approximate Concept Lattices.
.- Concept Oriented Attribute Reduction in Three way Concept Analysis.
.- Deterministic and Nondeterministic Decision Trees for Recognition of Properties of Decision Rule Systems.
.- Concept Reduction Method Based on Attribute (Object) Reduction.
