Dataset Groups Activity Stream Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME The paper introduces a new version of ALIME, which uses a decision tree instead of a linear model as the locally interpretable model. BibTex: @dataset{Niloofar_Ranjbar_and_Reza_Safabakhsh_2024, abstract = {The paper introduces a new version of ALIME, which uses a decision tree instead of a linear model as the locally interpretable model.}, author = {Niloofar Ranjbar and Reza Safabakhsh}, doi = {10.57702/scu8r8vk}, institution = {No Organization}, keyword = {'Autoencoder', 'Decision Tree', 'Explainable AI', 'LIME'}, month = {dec}, publisher = {TIB}, title = {Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME}, url = {https://service.tib.eu/ldmservice/dataset/using-decision-tree-as-local-interpretable-model-in-autoencoder-based-lime}, year = {2024} }
