Improving Case Management via Statistical Text Mining of in a Foster Care Organization: Examining Psychotropic. - Arturo Castellanos 001; Alfred Castillo; Monica C. Tremblay (AMIA, 2014)

Improving Case Management via Statistical Text Mining in a Foster Care Organization. - Alfred Castillo; Arturo Castellanos 001; Monica Chiarini Tremblay (DESRIST, 2014)

Understanding Benefits and Limitations of Unstructured Data Collection for Repurposing Organizational Data. - Arturo Castellanos 001; Alfred Castillo; Roman Lukyanenko; Monica Chiarini Tremblay (SIGSAND, 2017)

ExUP recommendations: Inferring user's product metadata preferences from single-criterion rating systems. - Alfred Castillo; Debra E. VanderMeer; Arturo Castellanos 001 (Decis. Support Syst., 2018)

Inferring Structure for Design: An Inductive Approach to Ontology Generation. - Alfred Castillo; Arturo Castellanos 001; Debra E. VanderMeer (ER Forum/Posters/Demos, 2019)

Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI. - Roman Lukyanenko; Arturo Castellanos 001; Veda C. Storey; Alfred Castillo; Monica Chiarini Tremblay; Jeffrey Parsons (ER (Workshops), 2020)

Improving Machine Learning Performance Using Conceptual Modeling. - Arturo Castellanos 001; Alfred Castillo; Monica Chiarini Tremblay; Roman Lukyanenko; Jeffrey Parsons; Veda C. Storey (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

A Framework for Classifying Exogenous Drivers of IT Investment - Conceptualizing Macroeconomic Shocks to IT Investment. - Maria Paula Diaz Campo; Amin Shoja; George M. Marakas; Alfred Castillo (AMCIS, 2024)

Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability. - Veda C. Storey; Jeffrey Parsons; Arturo Castellanos 001; Monica Chiarini Tremblay; Roman Lukyanenko; Alfred Castillo; Wolfgang Maaß 002 (Data Knowl. Eng., 2025)