Работы, цитирующие эту работу

Работ: 5

Работа: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

1. Challenges and Opportunities for AI in Healthcare

   Kan Yekaterina

   СтатьяArtificial Intelligence in Healthcare and EducationInternational Journal of Law and Policy2024Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.114678

2. Applied Machine Learning: Scalable Models for Key Industries

   Arnab Kar, Mahaveer Siddagoni Bikshapathi, Nurbek Matyakubov +2

   СтатьяBig Data and Digital Economy2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.011302

3. Explainable Machine Learning Models for Robust Clinical Biomarker Identification

   I. Arivazhagi, Shobha K., Deepak Gupta +3

   СтатьяExplainable Artificial Intelligence (XAI)2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.018761

4. Counterfactual Reasoning Frameworks for Transparent AI Decision Making

   Deepak Gupta, Pallavi Jha, Chanakya Kumar Jha +3

   СтатьяExplainable Artificial Intelligence (XAI)2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.018770

5. AI-driven financial control systems: machine learning models for fraud and compliance monitoring

   Ikrom Ergashev

   СтатьяArtificial Intelligence ApplicationsAI and Ethics2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.005708