Building Logistics Networks Using Model-Based Reasoning Techniques. - Robbie T. Nakatsu; Izak Benbasat (IEA/AIE, 2000)

Improving the explanatory power of knowledge-based systems: an investigation of content and interface-based enhancements. - Robbie T. Nakatsu; Izak Benbasat (IEEE Trans. Syst. Man Cybern. Part A, 2003)

The Alignment Of Organizational Incentives with Organizational Goals Across IT Adoption Stages. - Changxiao Jin; Linda Leon; Robbie T. Nakatsu; Zbigniew H. Przasnyski; Kala Chand Seal (AMCIS, 2004)

Designing business logistics networks using model-based reasoning and heuristic-based searching. - Robbie T. Nakatsu (Expert Syst. Appl., 2005)

Book review. - Robbie T. Nakatsu (Int. J. Hum. Comput. Interact., 2006)

Designing intelligent systems to handle system failures: Enhancing explanatory power with less restrictive user interfaces and deep explanations. - Robbie T. Nakatsu; Izak Benbasat (Int. J. Hum. Comput. Interact., 2006)

A risk profile of offshore-outsourced development projects. - Charalambos L. Iacovou; Robbie T. Nakatsu (Commun. ACM, 2008)

A comparative study of important risk factors involved in offshore and domestic outsourcing of software development projects: A two-panel Delphi study. - Robbie T. Nakatsu; Charalambos L. Iacovou (Inf. Manag., 2009)

Designing Effective User Interfaces for Crowdsourcing: An Exploratory Study. - Robbie T. Nakatsu; Elissa B. Grossman (HCI (13), 2013)

An Investigation of User Interface Features of Crowdsourcing Applications. - Robbie T. Nakatsu; Charalambos L. Iacovou (HCI (18), 2014)

Using Venn Diagrams to Perform Logic Reasoning: An Algorithm for Automating the Syllogistic Reasoning of Categorical Statements. - Robbie T. Nakatsu (Int. J. Intell. Syst., 2014)

A taxonomy of crowdsourcing based on task complexity. - Robbie T. Nakatsu; Elissa B. Grossman; Charalambos L. Iacovou (J. Inf. Sci., 2014)

Enhancing the Explanatory Power of Intelligent User Interfaces with Diagrams. - Robbie T. Nakatsu (HCI (23), 2015)

Information Visualizations Used to Avoid the Problem of Overfitting in Supervised Machine Learning. - Robbie T. Nakatsu (HCI (24), 2017)

An Evaluation of Four Resampling Methods Used in Machine Learning Classification. - Robbie T. Nakatsu (IEEE Intell. Syst., 2021)

Validation of machine learning ridge regression models using Monte Carlo, bootstrap, and variations in cross-validation. - Robbie T. Nakatsu (J. Intell. Syst., 2023)

Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model. - Robbie T. Nakatsu (HCI (37), 2024)