Giuseppe Casalicchio
Publications by Year
Research Areas
Machine Learning and Data Classification, Explainable Artificial Intelligence (XAI), Bayesian Modeling and Causal Inference, Data Analysis with R, Scientific Computing and Data Management
Most-Cited Works
- → mlr3: A modern object-oriented machine learning framework in R(2019)435 cited
- → mlr: Machine Learning in R(2013)284 cited
- → General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models(2022)143 cited
- → Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach(2023)96 cited
- → Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process(2023)93 cited
- → Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges(2020)63 cited
- → Grouped feature importance and combined features effect plot(2022)59 cited
- → OpenML: An R package to connect to the machine learning platform OpenML(2017)44 cited
- → Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results(2021)38 cited
- → Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations(2020)37 cited