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Matthew J. Darr
Person information
- affiliation: Iowa State University, Ames, IA, USA
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Journal Articles
- 2021
- [j3]Sheng Shen, Hao Lu, Mohammadkazem Sadoughi, Chao Hu, Venkat Nemani, Adam Thelen, Keith Webster, Matthew J. Darr, Jeff Sidon, Shawn Kenny:
A physics-informed deep learning approach for bearing fault detection. Eng. Appl. Artif. Intell. 103: 104295 (2021) - 2020
- [j2]Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just:
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images. Comput. Electron. Agric. 175: 105533 (2020) - 2015
- [j1]Samuel E. Marx, Joe D. Luck, Roger M. Hoy, Santosh K. Pitla, Erin E. Blankenship, Matthew J. Darr:
Validation of machine CAN bus J1939 fuel rate accuracy using Nebraska Tractor Test Laboratory fuel rate data. Comput. Electron. Agric. 118: 179-185 (2015)
Conference and Workshop Papers
- 2024
- [c5]Chandan Kumar, Ali Jannesari, Matthew J. Darr:
Discerning Self-supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR 2024 - 2023
- [c4]Chandan Kumar, Matthew J. Darr, Ali Jannesari:
Discerning Self-Supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR 2023 - 2022
- [c3]Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr:
Deep Learning and Pattern-based Methodology for Multivariable Sensor Data Regression. ICMLA 2022: 748-753 - 2021
- [c2]Hongwei Zhang, Yong Guan, Ahmed E. Kamal, Daji Qiao, Mai Zheng, Anish Arora, Ozdal Boyraz, Brian Cox, Thomas Daniels, Matthew J. Darr, Doug Jacobson, Ashfaq Khokhar, Sang Wu Kim, James Koltes, Jia Liu, Mike Luby, Larysa Nadolny, Joshua M. Peschel, Patrick S. Schnable, Anuj Sharma, Arun Somani, Lie Tang:
ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities. WiNTECH 2021: 9-16 - 2019
- [c1]Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just:
Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth. ICMLA 2019: 1987-1992
Informal and Other Publications
- 2024
- [i5]Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari:
Unsupervised learning based object detection using Contrastive Learning. CoRR abs/2402.13465 (2024) - [i4]Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari:
Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning. CoRR abs/2403.07231 (2024) - 2022
- [i3]Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr:
Pattern Based Multivariate Regression using Deep Learning (PBMR-DP). CoRR abs/2202.13541 (2022) - 2021
- [i2]Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew J. Darr, Ali Jannesari:
CLAWS: Contrastive Learning with hard Attention and Weak Supervision. CoRR abs/2112.00847 (2021) - 2020
- [i1]Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just:
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images. CoRR abs/2003.03192 (2020)
Coauthor Index
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