OpenAlex
metadata only
Explainable Artificial Intelligence by Genetic Programming: A Survey
artificial-intelligenceartificial-neural-networkblack-boxcomputational-intelligencecomputer-scienceinterpretabilitymachine-learning
Explainable artificial intelligence (XAI) has received great interest in the recent decade, due to its importance in critical application domains, such as self-driving cars, law, and healthcare. Genetic programming (GP) is a powerful evolutionary algorithm for machine learning. Compared with other s
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods#686307
- Review of eXplainable artificial intelligence for cybersecurity systems#450201
- Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions#329105
- XAI-Arena: Can LLMs Assess the Quality of XAI Explanations?#987176
- Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research#421623
Record · ID 964396
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive