Underwater Target Detection from Multi-Platform Sonar Imagery Using Multi-Channel Coherence Analysis. - Nick Harold Klausner; Mahmood R. Azimi-Sadjadi; James Derek Tucker (SMC, 2009)

Diffusion features for target specific recognition with synthetic aperture sonar raw signals and acoustic color. - Jason C. Isaacs; James Derek Tucker (CVPR Workshops, 2011)

Compressive sensing for Gauss-Gauss detection. - James Derek Tucker; Nick Harold Klausner (SMC, 2011)

Generative models for functional data using phase and amplitude separation. - J. Derek Tucker; Wei Wu 006; Anuj Srivastava (Comput. Stat. Data Anal., 2013)

An Index for T-wave Pointwise Amplitude Variability Quantification. - Julia Ramírez; Michele Orini; J. Derek Tucker; Esther Pueyo; Pablo Laguna (CinC, 2016)

Estimation of linear target-layer trajectories using cluttered point cloud data. - Darshan W. Bryner; Fred W. Huffer; Michael Rosenthal; J. Derek Tucker; Anuj Srivastava (Comput. Stat. Data Anal., 2016)

Variability of Ventricular Repolarization Dispersion Quantified by Time-Warping the Morphology of the T-Waves. - Julia Ramírez; Michele Orini; J. Derek Tucker; Esther Pueyo; Pablo Laguna (IEEE Trans. Biomed. Eng., 2017)

Elastic Handling of Predictor Phase in Functional Regression Models. - Kyungmin Ahn; J. Derek Tucker; Wei Wu 006; Anuj Srivastava (CVPR Workshops, 2018)

Elastic functional principal component regression. - J. Derek Tucker; John R. Lewis; Anuj Srivastava (Stat. Anal. Data Min., 2019)

A Deterministic Hitting-Time Moment Approach to Seed-set Expansion over a Graph. - Alexander H. Foss; Richard B. Lehoucq; W. Zachary Stuart; J. Derek Tucker; Jonathan W. Berry (CoRR, 2020)

Regression models using shapes of functions as predictors. - Kyungmin Ahn; J. Derek Tucker; Wei Wu 006; Anuj Srivastava (Comput. Stat. Data Anal., 2020)

Faster classification using compression analytics. - Christina L. Ting; Nicholas Johnson; Uzoma Onunkwo; J. Derek Tucker (ICDM (Workshops), 2021)

Multimodal Bayesian registration of noisy functions using Hamiltonian Monte Carlo. - J. Derek Tucker; Lyndsay Shand; Kenny Chowdhary (Comput. Stat. Data Anal., 2021)

Elastic Depths for Detecting Shape Anomalies in Functional Data. - Trevor Harris; J. Derek Tucker; Bo Li; Lyndsay Shand (Technometrics, 2021)

Dimensionality Reduction using Elastic Measures. - J. Derek Tucker; Matthew T. Martinez; Jose M. Laborde (CoRR, 2022)

CIEL∗Ch color map for visualization and analysis of sea ice motion. - Joel Upston; Deborah Sulsky; James Derek Tucker; Yawen Guan (J. Comput. Appl. Math., 2023)

A Framework for Inverse Prediction Using Functional Response Data. - Daniel Ries; Adah Zhang; J. Derek Tucker; Kurtis Shuler; Madeline Ausdemore (J. Comput. Inf. Sci. Eng., 2023)

Conformal Anomaly Detection for Functional Data with Elastic Distance Metrics. - Jason Adams; Brandon Berman; Joshua Michalenko; J. Derek Tucker (COPA, 2025)

Elastic Bayesian Model Calibration. - Devin Francom; J. Derek Tucker; Gabriel Huerta; Kurtis Shuler; Daniel Ries (SIAM/ASA J. Uncertain. Quantification, 2025)

An Explainable Pipeline for Machine Learning with Functional Data. - Katherine Goode; J. Derek Tucker; Daniel Ries; Heike Hofmann (CoRR, 2025)