Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction

27 May 2019

Papers citing "Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction"

5 / 5 papers shown

Title
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 44 0 0 21 Jun 2024
Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems Ayoub Si-Ahmed M. Al-garadi Boustia Narhimene 32 4 0 14 Mar 2024
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning Ugur Kursuncu Manas Gaur A. Sheth NAI 26 57 0 01 Dec 2019
Towards Quantification of Explainability in Explainable Artificial Intelligence Methods Sheikh Rabiul Islam W. Eberle S. Ghafoor XAI 22 42 0 22 Nov 2019
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response Sheikh Rabiul Islam W. Eberle S. Ghafoor Ambareen Siraj Mike Rogers 19 39 0 22 Nov 2019