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Subgroup Discovery

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/ghentdatascience/essd_public

공식 코드

Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach

https://github.com/Arzik1987/SDRE

공식 코드

REDS: Rule Extraction for Discovering Scenarios

https://github.com/HMProenca/RuleList

공식 코드

Discovering outstanding subgroup lists for numeric targets using MDL

https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery

공식 코드

Using Constraints to Discover Sparse and Alternative Subgroup Descriptions

https://github.com/RemilYoucef/split-sd4x

공식 코드

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery

https://github.com/SkBlaz/SCD

공식 코드

Embedding-based Silhouette Community Detection

https://github.com/abidlabs/contrastive

공식 코드

Contrastive Principal Component Analysis

https://github.com/kseverso/contrastive-LVM

공식 코드

Unsupervised learning with contrastive latent variable models

https://github.com/minasmz/identifying_obesity_factors

공식 코드

Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method

https://github.com/poloclub/FairVis

공식 코드

FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning

https://github.com/remilyoucef/sca-miner

공식 코드

Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets

https://github.com/remilyoucef/sd-4sql

공식 코드

"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis

https://github.com/subgroupawarevae/savae

공식 코드

Subgroup Discovery in Unstructured Data

https://github.com/zhangaipi/dim

공식 코드

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers

https://github.com/HMProenca/RobustSubgroupDiscovery

Discovering outstanding subgroup lists for numeric targets using MDL

https://github.com/HMProenca/robust-rules-for-prediction-and-description

Discovering outstanding subgroup lists for numeric targets using MDL

https://github.com/RemilYoucef/sd-4sql/tree/main/Code

"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis

https://github.com/ZhangAIPI/YOPO_MLLM_Pruning

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.