Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner. - Nicholas J. Napoli; Laura E. Barnes; Kamal Premaratne (FUSION, 2015)

A MapReduce framework to improve template matching uncertainty. - Nicholas J. Napoli; Kevin Leach; Laura E. Barnes; Westley Weimer (BigComp, 2016)

A Dempster-Shafer Approach for Corrupted Electrocardiograms Signals. - Nicholas J. Napoli; Laura E. Barnes (FLAIRS, 2016)

Addressing bias from non-random missing attributes in health data. - Nicholas J. Napoli; Madeline E. Kotoriy; William Barnhardt; Jeffrey S. Young 002; Laura E. Barnes (BHI, 2017)

Uncertainty in heart rate complexity metrics caused by R-peak perturbations. - Nicholas J. Napoli; Matthew W. Demas; Sanjana Mendu; Chad L. Stephens; Kellie D. Kennedy; Angela R. Harrivel; Randall E. Bailey; Laura E. Barnes (Comput. Biol. Medicine, 2018)

Combinational spectral band activation complexity: Uncovering hidden neuromuscular firing dynamics in EMG. - Nicholas J. Napoli; Anthony R. Mixco; Savannah V. Wooten; Marco Jacopetti; Joseph F. Signorile (Biomed. Signal Process. Control., 2021)

Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models. - Ezequiel Juarez Garcia; Victoria R. Rodrigues; Mehrdad Fazli; Laura E. Barnes; Nicholas J. Napoli (FUSION, 2023)

NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes. - Nicholas J. Napoli; Chad L. Stephens; Kellie D. Kennedy; Laura E. Barnes; Ezequiel Juarez Garcia; Angela R. Harrivel (Inf. Fusion, 2023)

Pumping up your predictive power for cognitive state detection with the proper GAINS. - Victoria R. Rodrigues; Jeremy R. Prieto; Szilard L. Beres; Chad L. Stephens; Christopher Myers; Nicholas J. Napoli (NeuroImage, 2025)