Title |
|---|
 DynFrs: An Efficient Framework for Machine Unlearning in Random ForestInternational Conference on Learning Representations (ICLR), 2024 |
 Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and
Remaining Useful Life EstimationInternational Journal of Prognostics and Health Management (IJPHM), 2023 |
 Reduced Robust Random Cut Forest for Out-Of-Distribution detection in
machine learning modelsInternational Journal of Machine Learning and Computing (IJMLC), 2022 |
 Machine Unlearning for Random ForestsInternational Conference on Machine Learning (ICML), 2020 |
 Sparsity in Optimal Randomized Classification TreesEuropean Journal of Operational Research (EJOR), 2020 |
