Validation of machine CAN bus J1939 fuel rate accuracy using Nebraska Tractor Test Laboratory fuel rate data. - Samuel E. Marx; Joe D. Luck; Roger M. Hoy; Santosh K. Pitla; Erin E. Blankenship; Matthew J. Darr (Comput. Electron. Agric., 2015)

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth. - Muhammad K. A. Hamdan; Diane T. Rover; Matthew J. Darr; John Just (ICMLA, 2019)

Generalizable semi-supervised learning method to estimate mass from sparsely annotated images. - Muhammad K. A. Hamdan; Diane T. Rover; Matthew J. Darr; John Just (Comput. Electron. Agric., 2020)

ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities. - Hongwei Zhang 001; Yong Guan; Ahmed E. Kamal 001; Daji Qiao; Mai Zheng; Anish Arora; Ozdal Boyraz; Brian Cox; Thomas Daniels 001; Matthew J. Darr; Doug Jacobson; Ashfaq Khokhar 001; et al. (WiNTECH, 2021)

CLAWS: Contrastive Learning with hard Attention and Weak Supervision. - Jansel Herrera-Gerena; Ramakrishnan Sundareswaran; John Just; Matthew J. Darr; Ali Jannesari (CoRR, 2021)

A physics-informed deep learning approach for bearing fault detection. - Sheng Shen 006; Hao Lu 020; Mohammadkazem Sadoughi; Chao Hu; Venkat Nemani; Adam Thelen; Keith Webster; Matthew J. Darr; Jeff Sidon; Shawn Kenny (Eng. Appl. Artif. Intell., 2021)

Deep Learning and Pattern-based Methodology for Multivariable Sensor Data Regression. - Jiztom Kavalakkatt Francis; Chandan Kumar 004; Jansel Herrera-Gerena; Kundan Kumar; Matthew J. Darr (ICMLA, 2022)

Pattern Based Multivariate Regression using Deep Learning (PBMR-DP). - Jiztom Kavalakkatt Francis; Chandan Kumar 004; Jansel Herrera-Gerena; Kundan Kumar; Matthew J. Darr (CoRR, 2022)

Discerning Self-supervised Learning and Weakly Supervised Learning. - Chandan Kumar 004; Ali Jannesari; Matthew J. Darr (Tiny Papers @ ICLR, 2024)

Unsupervised learning based object detection using Contrastive Learning. - Chandan Kumar 004; Jansel Herrera-Gerena; John Just; Matthew J. Darr; Ali Jannesari (CoRR, 2024)

Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning. - Chandan Kumar 004; Jansel Herrera-Gerena; John Just; Matthew J. Darr; Ali Jannesari (CoRR, 2024)

Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP. - Jiztom Kavalakkatt Francis; Matthew J. Darr (CoRR, 2025)

Interpretable AI for Time-Series: Multi-Model Heatmap Fusion with Global Attention and NLP-Generated Explanations. - Jiztom Kavalakkatt Francis; Matthew J. Darr (CoRR, 2025)