Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods

MLA

Cesarini, M., et al. Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods. 2024. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1456742056&authtype=sso&custid=ns315887.

APA

Cesarini, M., Malandri, L., Pallucchini, F., Seveso, A., Xing, F., Cesarini, M., Malandri, L., Pallucchini, F., Seveso, A., & Xing, F. (2024). Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods.

Chicago

Cesarini, M, L Malandri, F Pallucchini, A Seveso, F Xing, Mirko Cesarini, Lorenzo Malandri, Filippo Pallucchini, Andrea Seveso, and Frank Xing. 2024. “Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1456742056&authtype=sso&custid=ns315887.