Imagen de Portada

Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Storey, V. C., Parsons, J., Castellanos, A., Tremblay, M., Lukyanenko, R., Maass, W., Castillo, A.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Human-Computer Interaction
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Conceptual Modeling: Topics, Themes, and Technology Trends
por: Storey, V. C., et al.
Publicado: (2025)

Conceptual Modelling for Life Sciences Based on Systemist Foundations
por: Lukyanenko, R., et al.
Publicado: (2025)

From Representation to Mediation: A New Agenda for Conceptual Modeling Research in A Digital World
por: Recker, J., et al.
Publicado: (2025)

Understanding and Improving Data Repurposing
por: Parsons, J., et al.
Publicado: (2025)

Exploring Radiologists' Expectations of Explainable Machine Learning Models in Medical Image Analysis
por: Ketabi, Sara, et al.
Publicado: (2026)

Spatial Conceptual Modeling: Anchoring Knowledge in the Real World
por: Fill, Hans-Georg
Publicado: (2024)

Concept-based Explainable Artificial Intelligence: A Survey
por: Poeta, Eleonora, et al.
Publicado: (2023)

How Can Explainable Artificial Intelligence Improve Trust and Transparency in Medical Diagnosis Systems?
por: Seitenov, Altynbek, et al.
Publicado: (2026)

Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies
por: Ma, Shuai
Publicado: (2024)

Development of a persuasive User Experience Research (UXR) Point of View for Explainable Artificial Intelligence (XAI)
por: Naiseh, Mohammad, et al.
Publicado: (2025)

Human Response to Decision Support in Face Matching: The Influence of Task Difficulty and Machine Accuracy
por: Estévez-Almenzar, Marina, et al.
Publicado: (2025)

Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study
por: Washington, Peter, et al.
Publicado: (2020)

Rethinking UX for Sustainable Science Gateways: Orientations from Practice
por: Parsons, Paul C.
Publicado: (2025)

Visualization Was Here: Reorienting Research When Visualizations Fade into the Background
por: Parsons, Paul C.
Publicado: (2025)

Visual Analytics for Explainable and Trustworthy Artificial Intelligence
por: Chatzimparmpas, Angelos
Publicado: (2025)

Human-AI Collaboration Increases Skill Tagging Speed but Degrades Accuracy
por: Ren, Cheng, et al.
Publicado: (2024)

Trade-offs in Financial AI: Explainability in a Trilemma with Accuracy and Compliance
por: Evite, Patricia Marcella, et al.
Publicado: (2026)

Agentic Explainable Artificial Intelligence (Agentic XAI) Approach To Explore Better Explanation
por: Yamaguchi, Tomoaki, et al.
Publicado: (2025)

Artificial Emotion: A Survey of Theories and Debates on Realising Emotion in Artificial Intelligence
por: Li, Yupei, et al.
Publicado: (2025)

A Survey of Accessible Explainable Artificial Intelligence Research
por: Nwokoye, Chukwunonso Henry, et al.
Publicado: (2024)

False Sense of Security in Explainable Artificial Intelligence (XAI)
por: Chung, Neo Christopher, et al.
Publicado: (2024)

Research on Older Adults' Interaction with E-Health Interface Based on Explainable Artificial Intelligence
por: Huang, Xueting, et al.
Publicado: (2024)

Judgment as Coordination: A Joint Systems View of Visualization Design Practice
por: Parsons, Paul C., et al.
Publicado: (2025)

Critical Thinking in the Age of Artificial Intelligence: A Survey-Based Study with Machine Learning Insights
por: Bari, M Murshidul, et al.
Publicado: (2026)

Community-Based AI Learning: Redistributing Artificial Intelligence's Epistemic Authority in Education
por: Ojeda-Ramirez, Santiago, et al.
Publicado: (2026)

Using Artificial Intelligence to Improve Classroom Learning Experience
por: Hossain, Shadeeb
Publicado: (2025)

Spontaneous Theory of Mind for Artificial Intelligence
por: Gurney, Nikolos, et al.
Publicado: (2024)

Beyond Problem Solving: Framing and Problem-Solution Co-Evolution in Data Visualization Design
por: Parsons, Paul C., et al.
Publicado: (2025)

Envisioning Generative Artificial Intelligence in Cartography and Mapmaking
por: Kang, Yuhao, et al.
Publicado: (2025)

Neuro-Symbolic Artificial Intelligence for Patient Monitoring
por: Fenske, Ole, et al.
Publicado: (2024)

Evaluation of Task Specific Productivity Improvements Using a Generative Artificial Intelligence Personal Assistant Tool
por: Freeman, Brian S., et al.
Publicado: (2024)

On the Role of Artificial Intelligence in Human-Machine Symbiosis
por: Chang, Ching-Chun, et al.
Publicado: (2026)

Identifying Framing Practices in Visualization Design Through Practitioner Reflections
por: Shukla, Prakash, et al.
Publicado: (2025)

Using Generative Artificial Intelligence Creatively in the Classroom and Research: Examples and Lessons Learned
por: Molina, Maria J., et al.
Publicado: (2024)

Making Data: The Work Behind Artificial Intelligence
por: Braz, Matheus Viana, et al.
Publicado: (2024)

Human-Centered Artificial Social Intelligence (HC-ASI)
por: Pan, Hanxi, et al.
Publicado: (2025)

Human-Centered Artificial Intelligence (HCAI): Foundations and Approaches
por: Xu, Wei
Publicado: (2026)

Assessing Student Adoption of Generative Artificial Intelligence across Engineering Education from 2023 to 2024
por: Ovi, Jesan Ahammed, et al.
Publicado: (2025)

Revealing AI Reasoning Increases Trust but Crowds Out Unique Human Knowledge
por: Chen, Zenan, et al.
Publicado: (2025)

Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers' Assessment Literacy
por: Wei, Yuang, et al.
Publicado: (2026)