January 04, 2018 preprint Open access All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously arXiv (Cornell University) DOI: 10.48550/arxiv.1801.01489 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 1,158 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Interpretation Framework of Predictive Quality Models for Process- and Product-oriented Decision Support 2023 Procedia CIRP article Computer Science Explainable Artificial Intelligence (XAI) Open access 11 citations The Opaque Nature of Intelligence and the Pursuit of Explainable AI 2023 International Joint Conference on Computational Intelligence conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access 0 citations 2 results References 0