Matthew J. Darr

According to our database, Matthew J. Darr authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning.

Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari

CoRR, 2024

Unsupervised learning based object detection using Contrastive Learning.

Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari

CoRR, 2024

2023

Discerning Self-Supervised Learning and Weakly Supervised Learning.

Chandan Kumar, Matthew J. Darr, Ali Jannesari

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Pattern Based Multivariate Regression using Deep Learning (PBMR-DP).

Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr

CoRR, 2022

Deep Learning and Pattern-based Methodology for Multivariable Sensor Data Regression.

Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

A physics-informed deep learning approach for bearing fault detection.

Sheng Shen, Hao Lu, Mohammadkazem Sadoughi, Chao Hu, Venkat Nemani, Adam Thelen, Keith Webster, Matthew J. Darr, Jeff Sidon, Shawn Kenny

Eng. Appl. Artif. Intell., 2021

CLAWS: Contrastive Learning with hard Attention and Weak Supervision.

Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew J. Darr, Ali Jannesari

CoRR, 2021

ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities.

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 A. Khokhar, Sang Wu Kim, James Koltes, Jia Liu, Mike Luby, Larysa Nadolny, Joshua M. Peschel, Patrick S. Schnable, Anuj Sharma, Arun Somani, Lie Tang

Proceedings of the WiNTECH'21: Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, 2021

2020

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

2019

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth.

Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2015

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