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Subgroup Discovery
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Subgroup Performance Analysis in Hidden Stratifications
A consensus set for the aggregation of partial rankings: the case of the Optimal Set of Bucket Orders Problem
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness
Using Constraints to Discover Sparse and Alternative Subgroup Descriptions
Peripheral Nervous System Responses to Food Stimuli: Analysis Using Data Science Approaches
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
FairCompass: Operationalising Fairness in Machine Learning
Data is Moody: Discovering Data Modification Rules from Process Event Logs
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets
A new algorithm for Subgroup Set Discovery based on Information Gain
Tree-based Subgroup Discovery In Electronic Health Records: Heterogeneity of Treatment Effects for DTG-containing Therapies
Subgroup Discovery in Unstructured Data
Accelerating System-Level Debug Using Rule Learning and Subgroup Discovery Techniques
Subgroup discovery of Parkinson's Disease by utilizing a multi-modal smart device system
Sparsity-based Feature Selection for Anomalous Subgroup Discovery
Pedagogical Rule Extraction to Learn Interpretable Models - an Empirical Study
Interpretable Clustering via Multi-Polytope Machines
Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method
How Can Subgroup Discovery Help AIOps?
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery
Local Exceptionality Detection in Time Series Using Subgroup Discovery
Robust subgroup discovery
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets
Discovering outstanding subgroup lists for numeric targets using MDL
Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach
Preservation of Anomalous Subgroups On Machine Learning Transformed Data
REDS: Rule Extraction for Discovering Scenarios
Towards Efficient Discriminative Pattern Mining in Hybrid Domains
Embedding-based Silhouette Community Detection
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning
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