FIR parity check codes. - Chris Heegard; Andrew J. King (IEEE Trans. Commun., 2000)

Encoding Stimulus Information by Spike Numbers and Mean Response Time in Primary Auditory Cortex. - Israel Nelken; Gal Chechik; Thomas D. Mrsic-Flogel; Andrew J. King; Jan W. H. Schnupp (J. Comput. Neurosci., 2005)

Integrating information from different senses in the auditory cortex. - Andrew J. King; Kerry M. M. Walker (Biol. Cybern., 2012)

Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. - Andrew J. King; Gregory F. Cooper; Harry Hochheiser; Gilles Clermont; Shyam Visweswaran (AMIA, 2015)

Measuring the Performance of Neural Models. - Oliver Schoppe; Nicol S. Harper; Ben D. B. Willmore; Andrew J. King; Jan W. H. Schnupp (Frontiers Comput. Neurosci., 2016)

Network Receptive Field Modeling Reveals Extensive Integration and Multi-feature Selectivity in Auditory Cortical Neurons. - Nicol S. Harper; Oliver Schoppe; Ben D. B. Willmore; Zhanfeng Cui; Jan W. H. Schnupp; Andrew J. King (PLoS Comput. Biol., 2016)

Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. - Andrew J. King; Harry Hochheiser; Shyam Visweswaran; Gilles Clermont; Gregory F. Cooper (CRI, 2017)

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. - Andrew J. King; Gregory F. Cooper; Harry Hochheiser; Gilles Clermont; Milos Hauskrecht; Shyam Visweswaran (AMIA, 2018)

Classification of sheep urination events using accelerometers to aid improved measurements of livestock contributions to nitrous oxide emissions. - Lucy Lush; Rory P. Wilson; Mark D. Holton; Philip Hopkins; Karina A. Marsden; David R. Chadwick; Andrew J. King (Comput. Electron. Agric., 2018)

Robot Collection and Transport of Objects: A Biomimetic Process. - Daniel Strömbom; Andrew J. King (Frontiers Robotics AI, 2018)

Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning. - Andrew J. King; Shyam Visweswaran; Harry Hochheiser; Gilles Clermont; Gregory F. Cooper (AMIA, 2019)

Using machine learning to selectively highlight patient information. - Andrew J. King; Gregory F. Cooper; Gilles Clermont; Harry Hochheiser; Milos Hauskrecht; Dean F. Sittig; Shyam Visweswaran (J. Biomed. Informatics, 2019)

A dynamic network model of temporal receptive fields in primary auditory cortex. - Monzilur Rahman; Ben D. B. Willmore; Andrew J. King; Nicol S. Harper (PLoS Comput. Biol., 2019)

Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR. - Emily B. Brant; Jason N. Kennedy; Andrew J. King; Lawrence Gerstley; Pranita Mishra; David Schlessinger; James Shalaby; Gabriel J. Escobar; Derek C. Angus; Christopher W. Seymour; Vincent X. Liu (npj Digit. Medicine, 2022)

Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons. - Luke Taylor; Andrew J. King; Nicol S. Harper (CoRR, 2023)

A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds. - Andrew J. King; Derek C. Angus; Gregory F. Cooper; Danielle L. Mowery; Jennifer B. Seaman; Kelly M. Potter; Leigh A. Bukowski; Ali Al-Khafaji; Scott R. Gunn; Jeremy M. Kahn (J. Biomed. Informatics, 2023)

Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. - Nur Yildirim; Susanna Zlotnikov; Deniz Sayar; Jeremy M. Kahn; Leigh A. Bukowski; Sher Shah Amin; Kathryn A. Riman; Billie S. Davis; John S. Minturn; Andrew J. King; Dan Ricketts; Lu Tang 003; et al. (CHI, 2024)