James Keller

Professor

University of Missouri Columbia

United States

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About

James Keller is a Professor at the University of Missouri Columbia, USA. His research focuses on the integration of artificial intelligence in healthcare, particularly in ophthalmology and pattern recognition in aging populations. He has authored several articles on topics including human-in-the-loop frameworks for spatial concepts and deep learning applications for aerial imagery.

Articles (16)

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (6)

Antonio Jesús Rueda Ruiz

Profesor Titular de Universidad

Universidad de Jaén

SPAIN

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Chris Michael

Section Head

US Naval Research Laboratory

UNITED STATES

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Carmen Martínez Cruz

Profesor Contratado Doctor

Universidad de Jaén

SPAIN

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Andrew Buck

University of Missouri

UNITED STATES

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Joshua Peeples

Visiting Assistant Professor

Texas A&M University

UNITED STATES

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Alina Zare

University of Florida

UNITED STATES

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James Keller

Research Interests

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Articles (16)

SPARC: A Human-in-the-Loop Framework for Learning and Explaining Spatial Concepts

Integrating artificial intelligence in ophthalmology: a pilot study of clinical understanding and adoption

An Interactive Approach to Build Fuzzy Color Spaces [AI-eXplained]

StreamSoNGv2: Online Classification of Data Streams Using Growing Neural Gas

Linguistic Explanations of Black Box Deep Learning Detectors on Simulated Aerial Drone Imagery

Chat, Anyone? [President's Message]

Spring Forward, Fall Back [President's Message]

A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place

Tempus Fugit! [President's Message]

Artificial Intelligence to Aid Glaucoma Diagnosis and Monitoring: State of the Art and New Directions

StreamSoNG: A Soft Streaming Classification Approach

New Linguistic Description Approach for Time Series and Its Application to Bed Restlessness Monitoring for Eldercare

Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification

Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks

Explainable AI for the Choquet Integral

Evaluating Evolving Structure in Streaming Data With Modified Dunn's Indices

Collaborators (6)

Antonio Jesús Rueda Ruiz

Chris Michael

Carmen Martínez Cruz

Andrew Buck

Joshua Peeples

Alina Zare

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