A Letter from the Editor. - Scott Chapman (Am. Math. Mon., 2012)

Algebraic and combinatorial aspects of sandpile monoids on directed graphs. - Scott Chapman; Rebecca Garcia; Luis David García-Puente; Martin E. Malandro; Ken W. Smith (J. Comb. Theory A, 2013)

Introduction to the Special Issue. - David H. Bailey; Scott Chapman (Am. Math. Mon., 2021)

Toward a Unified Framework for RGB and RGB-D Visual Navigation. - Heming Du; Zi Huang; Scott Chapman; Xin Yu 002 (AI (2), 2023)

Divide and Ensemble: Progressively Learning for the Unknown. - Hu Zhang 005; Xin Shen; Heming Du; Huiqiang Chen; Chen Liu 028; Hongwei Sheng; Qingzheng Xu; Wahiduzzaman Khan; Qingtao Yu; Tianqing Zhu; Scott Chapman; Zi Huang; et al. (CoRR, 2023)

Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy. - Tong Li; Anquan Xia; Timothy I. McLaren; Rajiv Pandey; Zhihong Xu; Hongdou Liu; Sean Manning; Oli Madgett; Sam Duncan; Peter Rasmussen; Florian Ruhnke; Onur Yüzügüllü; et al. (Remote. Sens., 2023)

PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation. - Tianqi Wei 002; Zhi Chen 010; Xin Yu 002; Scott Chapman; Paul Melloy; Zi Huang (CoRR, 2024)

CF-PRNet: Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction. - Zhi Chen 010; Tianqi Wei 002; Zecheng Zhao; Jia Syuen Lim; Yadan Luo; Hu Zhang 005; Xin Yu 002; Scott Chapman; Zi Huang (CoRR, 2024)

Track Any Peppers: Weakly Supervised Sweet Pepper Tracking Using VLMs. - Jia Syuen Lim; Yadan Luo; Zhi Chen 010; Tianqi Wei 002; Scott Chapman; Zi Huang (CoRR, 2024)

National COVID Cohort Collaborative data enhancements: a path for expanding common data models. - Kellie M. Walters; Marshall Clark; Sofia Dard; Stephanie S. Hong; Elizabeth Kelly; Kristin Kostka; Adam M. Lee; Robert T. Miller; Michele Morris; Matvey B. Palchuk; Emily R. Pfaff; Adam B. Wilcox; et al. (J. Am. Medical Informatics Assoc., 2025)