Showing 1–20 of 43 results
/ Date/ Name
May 25, 2017Discriminative Metric Learning with Deep ForestMay 24, 2024Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT ImagesJul 19, 2023A New Computationally Simple Approach for Implementing Neural Networks with Output Hard ConstraintsOct 14, 2020Interpretable Machine Learning with an Ensemble of Gradient Boosting MachinesJan 4, 2019An Adaptive Weighted Deep Forest ClassifierOct 12, 2020A Generalized Stacking for Implementing Ensembles of Gradient Boosting MachinesNov 19, 2022BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment EffectOct 11, 2022LARF: Two-level Attention-based Random Forests with a Mixture of Contamination ModelsMar 18, 2020SurvLIME: A method for explaining machine learning survival modelsApr 27, 2017A Siamese Deep ForestDec 8, 2025Towards a Relationship-Aware Transformer for Tabular DataJun 19, 2020Gradient boosting machine with partially randomized decision treesNov 18, 2019An explanation method for Siamese neural networksMay 5, 2020SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival modelsMay 5, 2020A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov boundsApr 18, 2021SurvNAM: The machine learning survival model explanationJul 9, 2022Attention and Self-Attention in Random ForestsJan 29, 2024Dual feature-based and example-based explanation methodsFeb 19, 2024Generating Survival Interpretable Trajectories and DataDec 10, 2024SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms