April 21, 2020 conference-paper Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning CHI Conference on Human Factors in Computing Systems DOI: 10.1145/3313831.3376219 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 539 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 “Even explanations will not help in trusting [this] fundamentally biased system”: A Predictive Policing Case-Study 2025 ACM Conference on User Modeling, Adaptation and Personalization (UMAP) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access 3 citations Report on the Search Futures Workshop at ECIR 2024 2024 ACM SIGIR Forum article Computer Science Information Retrieval and Search Behavior Open access 11 citations Machine Learning and Prediction in Psychological Assessment 2022 European Journal of Psychological Assessment article Decision Sciences Psychometric Methodologies and Testing Open access 44 citations Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal data 2020 Psychotherapy Research article Mathematics Statistical Methods and Bayesian Inference Open access 91 citations 4 results References 0