Deep Knowledge Acquisition Framework (DeepKAF) is a domain-independent framework that features the usage of deep neural networks and big data technologies to de ...
This thesis presents a novel framework (Deep Knowledge Acquisition Framework (DeepKAF)) based on recent work in the area of combining deep learning approaches ...
Deep Knowledge Acquisition Framework (DeepKAF) is a domain-independent framework that features the usage of deep neural networks and big data technologies to ...
Title, DeepKAF: A Knowledge Intensive Framework for Heterogeneous Case-Based Reasoning in Textual Domains ; Author, Kareem Amin ; Contributor, Andreas Dengel.
In management, CBR often provides managers or decisionmakers with past management experience and helps them choose or specify the appropriate strategic ...
DeepKAF amplifies case-based reasoning with deep learning methods to cope with specialist domain challenges pertaining to large text corpuses, multi ...
Kareem Amin: DeepKAF: A Knowledge Intensive Framework for Heterogeneous Case-Based Reasoning in Textual Domains. Kaiserslautern University of Technology, ...
This paper describes a novel case-based reasoning application to address the tasks of: high solution accuracy and shorter prediction resolution time, ...
Case-based Reasoning (CBR) is an explainable AI approach where solutions are provided along with relevant explanations in terms of why a solution was selected.
Missing: Intensive | Show results with:Intensive
This paper describes a framework for semi-automatic knowledge extraction for case-based diagnosis in the aircraft domain that integrates different ...
Missing: Intensive | Show results with:Intensive