An explainable AI decision-support-system to automate loan underwriting

S Sachan, JB Yang, DL Xu, DE Benavides… - Expert Systems with …, 2020 - Elsevier
Widespread adoption of automated decision making by artificial intelligence (AI) is
witnessed due to specular advances in computation power and improvements in …

Trends in expert system development: A longitudinal content analysis of over thirty years of expert system case studies

WP Wagner - Expert systems with applications, 2017 - Elsevier
Abstract Research in Expert Systems (ES) has been one of the longest-running, and most
successful areas of ongoing research within the AI field. Since the 1980s, many case studies …

Measuring the complexity of the law: the United States Code

DM Katz, MJ Bommarito - Artificial intelligence and law, 2014 - Springer
Einstein's razor, a corollary of Ockham's razor, is often paraphrased as follows: make
everything as simple as possible, but not simpler. This rule of thumb describes the challenge …

Contextual attributes impacting the effectiveness of requirements elicitation Techniques: Map** theoretical and empirical research

D Carrizo, O Dieste, N Juristo - Information and Software Technology, 2017 - Elsevier
Background: Software engineers can utilise a myriad of elicitation techniques to capture
relevant information in order to specify requirements. The effectiveness of these techniques …

An experimental investigation of knowledge acquisition techniques

M Dehghani, P Akhavan - Journal of Management Development, 2017 - emerald.com
Purpose Knowledge is a key driver for the competitive success of organizations, but about
90 percent of organizational knowledge is inside employees' minds with personal essence; …

A scenario-based modeling method for controlling ECM performance

C López, A Ishizaka - Expert systems with applications, 2018 - Elsevier
Firms are increasingly more integrating Enterprise Content Management (ECM) into their IT
infrastructure in order to manage a growing volume of complex structured and unstructured …

Ontology‐based evaluation of organizational memory

H Weinberger, D Te'eni, AJ Frank - Journal of the American …, 2008 - Wiley Online Library
In this article we offer a new approach to evaluating Organizational Memory (OM). Our
proposed evaluation methodology, named KnowledgeEco, is based on an ontology for the …

Knowledge acquisition techniques selection: A comparative study

P Akhavan, M Dehghani - IUP Journal of Knowledge …, 2015 - search.proquest.com
The need to assess and compare Knowledge Acquisition (KA) techniques has always been
considered for more productivity in KA sessions and develo** expert systems. This paper …

Modeling the effects of existing knowledge on the creation of new knowledges

D Korposh, YC Lee, CC Wei… - Concurrent …, 2011 - journals.sagepub.com
Advancing technologies and constantly changing market needs induce competition between
organizations and force enterprises to adopt better management methods to improve …

[PDF][PDF] What do researchers mean by “the right requirements elicitation techniques”?

D Carrizo, C Ortiz, L Aguirre - Ingeniare. Revista chilena de ingeniería, 2016 - redalyc.org
Researchers often claim that the most appropriate elicitation techniques should be chosen
to capture software requirements, but: what does it mean for them? This work carried out a …