Alfred Castillo

Most-cited papers

1. Large Language Models for Thematic Summarization in Qualitative Health Care Research: Comparative Analysis of Model and Human Performance

   Arturo Castellanos, Haoqiang Jiang, Paulo J. Gomes, D. VanderMeer +1 more

   2024JMIR AI51 citations Open access

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2. Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability

   V. Storey, Jeffrey Parsons, Arturo Castellanos, M. Tremblay +3 more

   2025Data & Knowledge Engineering11 citations Open access

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3. ExUP recommendations: Inferring user's product metadata preferences from single-criterion rating systems

   Alfred Castillo, D. VanderMeer, A. Castellanos

   2018Decision Support Systems10 citations

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4. In: 1st International Workshop on Conceptual Modeling Meets Artificial Intelligence and Data-Driven Decision Making (CMAI 2020) in Conjunction with ER 2020 Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI

   R. Lukyanenko, A. Castellanos, V. Storey, Alfred Castillo +2 more

   20209 citations

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5. Improving Case Management via Statistical Text Mining in a Foster Care Organization

   Alfred Castillo, A. Castellanos, Monica Chiarini Tremblay

   2014International Conference on Design Science Research in Information Systems and Technology8 citations

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6. Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI

   R. Lukyanenko, A. Castellanos, V. Storey, Alfred Castillo +2 more

   2020International Conference on Conceptual Modeling5 citations

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7. Understanding Benefits and Limitations of Unstructured Data Collection for Repurposing Organizational Data

   A. Castellanos, Alfred Castillo, R. Lukyanenko, Monica Chiarini Tremblay

   2017SIGSAND-Europe Symposium5 citations

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8. Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions

   Haoqiang Jiang, A. Castellanos, Alfred Castillo, Paulo J. Gomes +2 more

   2022JMIR Nursing4 citations Open access

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9. Improving Machine Learning Performance Using Conceptual Modeling

   A. Castellanos, Alfred Castillo, Monica Chiarini Tremblay, R. Lukyanenko +2 more

   2021AAAI Spring Symposium Combining Machine Learning with Knowledge Engineering4 citations

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10. Inferring Structure for Design: An Inductive Approach to Ontology Generation

    Alfred Castillo, A. Castellanos, D. VanderMeer

    2019ER Forum/Posters/Demos2 citations

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11. Corrigendum to “Domain knowledge in artificial intelligence: Using conceptual modeling to increase machine learning accuracy and explainability” [Knowledge and Data Engineering Volume 160, November 2025, 102482]

    V. Storey, Jeffrey Parsons, Arturo Castellanos Bueso, M. Tremblay +3 more

    2025Data & Knowledge Engineering0 citations

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12. Corrigendum to “Large Language Models for Conceptual Modeling: Assessment and Application Potential” [Knowledge and Data Engineering Volume 160, November 2025, 102480]

    V. Storey, Jeffrey Parsons, Arturo Castellanos Bueso, M. Tremblay +3 more

    2025Data & Knowledge Engineering0 citations

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13. Respondent Perceived Threat During the Information Systems Requirements Determination Process: Understanding and Mitigation

    Alfred Castillo

    20170 citations Open access

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14. Improving Case Management via Statistical Text Mining of in a Foster Care Organization: Examining Psychotropic

    A. Castellanos, Alfred Castillo, Monica Chiarini Tremblay

    2014American Medical Informatics Association Annual Symposium0 citations

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