 |
 A review of ensemble learning and data augmentation models for class
imbalanced problems: combination, implementation and evaluationExpert systems with applications (ESWA), 2023 |
 Explaining Any ML Model? -- On Goals and Capabilities of XAIHumanities and Social Sciences Communications (HSSC), 2022 |
 Trading Complexity for Sparsity in Random Forest ExplanationsAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Accurate Shapley Values for explaining tree-based modelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Robust Model Compression Using Deep HypothesesAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 MP-Boost: Minipatch Boosting via Adaptive Feature and Observation
SamplingInternational Conference on Big Data and Smart Computing (BigComp), 2020 |
 A New Method to Compare the Interpretability of Rule-based AlgorithmsApplied Informatics (AI), 2020 |
 Consistent Regression using Data-Dependent CoveringsElectronic Journal of Statistics (EJS), 2019 |
