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)

Corporate Social Responsibility Reports: Understanding Topics via Text Mining. - Arturo Castellanos 001; Carlos M. Parra; Monica Chiarini Tremblay (AMCIS, 2015)

Analyzing Corporate Social Responsibility Reports Using Unsupervised and Supervised Text Data Mining. - Monica Chiarini Tremblay; Carlos M. Parra; Arturo Castellanos 001 (DESRIST, 2015)

Prominent voices and prevalent discourses: A corporate social responsibility application. - Carlos M. Parra; Monica Chiarini Tremblay; Arturo Castellanos 001 (ICDIM, 2016)

Multi-Paradigmatic Theorizing: Mixing Design and Exploration. - Alireza Amrollahi; Roman Lukyanenko; Arturo Castellanos 001 (AMCIS, 2017)

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)

Using Conceptual Modeling to Support Machine Learning. - Roman Lukyanenko; Arturo Castellanos 001; Jeffrey Parsons; Monica Chiarini Tremblay; Veda C. Storey (CAiSE Forum, 2019)

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

Modeling Observational Crowdsourcing. - Arturo Castellanos 001; Roman Lukyanenko; Veda C. Storey (ER Forum/Posters/Demos, 2020)

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)

Introducing GSO: A General Systemist Ontology. - Roman Lukyanenko; Veda Storey; Arturo Castellanos 001 (ER Forum/Posters/Demos, 2020)

Basic Classes in Conceptual Modeling: Theory and Practical Guidelines. - Arturo Castellanos 001; Monica Chiarini Tremblay; Roman Lukyanenko; Binny M. Samuel (J. Assoc. Inf. Syst., 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)

Research Agenda for Basic Explainable AI. - Roman Lukyanenko; Arturo Castellanos 001; Binny M. Samuel; Monica C. Tremblay; Wolfgang Maass 002 (AMCIS, 2021)

Conceptual Modeling in a Digital World: A New Framework and Research Agenda (Extended Abstract). - Jan Recker; Roman Lukyanenko; Mohammad Jabbari 001; Binny M. Samuel; Arturo Castellanos 001 (EMISA Forum, 2021)

From Representation to Mediation: A New Agenda for Conceptual Modeling Research in a Digital World. - Jan Recker; Roman Lukyanenko; Mohammad Jabbari 001; Binny M. Samuel; Arturo Castellanos 001 (MIS Q., 2021)

ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI. - Wolfgang Maass 002; Arturo Castellanos 001; Monica Chiarini Tremblay; Roman Lukyanenko; Veda C. Storey (AAAI Spring Symposium: MAKE, 2022)

AI Explainability: Embedding Conceptual Models. - Wolfgang Maass 002; Arturo Castellanos 001; Monica C. Tremblay; Roman Lukyanenko; Veda C. Storey (ICIS, 2022)

Conceptual Alignment Method. - Wolfgang Maass 002; Arturo Castellanos 001; Monica C. Tremblay; Roman Lukyanenko; Veda C. Storey; Jonas S. Almeida (AMCIS, 2023)

Conceptual Modeling: Topics, Themes, and Technology Trends. - Veda C. Storey; Roman Lukyanenko; Arturo Castellanos 001 (ACM Comput. Surv., 2023)

The Ontology of Fields as a Foundation for Conceptual Modeling. - Arturo Castellanos 001; Jon W. Beard; Binny M. Samuel; Keng Siau; Carson Woo; Veda C. Storey; Roman Lukyanenko; Roger H. L. Chiang; Debra E. VanderMeer (ER (Companion), 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)