Matthew J. Darr

16 papers C 2Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Interpretable AI for Time-Series: Multi-Model Heatmap Fusion with Global Attention and NLP-Generated Explanations. CoRR Jiztom Kavalakkatt Francis, Matthew J. Darr
2025	—	`conf`	Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI and NLP. ICECET Jiztom Kavalakkatt Francis, Matthew J. Darr
2025	J	`jnl`	Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP. CoRR Jiztom Kavalakkatt Francis, Matthew J. Darr
2024	—	`conf`	Discerning Self-supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR Chandan Kumar, Ali Jannesari, Matthew J. Darr
2024	J	`jnl`	Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning. CoRR Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari
2024	J	`jnl`	Unsupervised learning based object detection using Contrastive Learning. CoRR Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari
2023	—	`conf`	Discerning Self-Supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR Chandan Kumar, Matthew J. Darr, Ali Jannesari
2022	C	`conf`	Deep Learning and Pattern-based Methodology for Multivariable Sensor Data Regression. ICMLA Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr
2022	J	`jnl`	Pattern Based Multivariate Regression using Deep Learning (PBMR-DP). CoRR Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr
2021	J	`jnl`	A physics-informed deep learning approach for bearing fault detection. Eng. Appl. Artif. Intell. Sheng Shen, Hao Lu, Mohammadkazem Sadoughi, Chao Hu, Venkat Nemani, Adam Thelen, Keith Webster, Matthew J. Darr, Jeff Sidon, Shawn Kenny
2021	—	`conf`	ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities. WiNTECH 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
2021	J	`jnl`	CLAWS: Contrastive Learning with hard Attention and Weak Supervision. CoRR Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew J. Darr, Ali Jannesari
2020	J	`jnl`	Generalizable semi-supervised learning method to estimate mass from sparsely annotated images. Comput. Electron. Agric. Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just
2020	J	`jnl`	Generalizable semi-supervised learning method to estimate mass from sparsely annotated images. CoRR Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just
2019	C	`conf`	Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth. ICMLA Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just
2015	J	`jnl`	Validation of machine CAN bus J1939 fuel rate accuracy using Nebraska Tractor Test Laboratory fuel rate data. Comput. Electron. Agric. Samuel E. Marx, Joe D. Luck, Roger M. Hoy, Santosh K. Pitla, Erin E. Blankenship, Matthew J. Darr