Jordan M. Malof

76 papers A* 3A 4B 3C 16Journal 44Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are deep learning models robust to partial object occlusion in visual recognition tasks? Pattern Recognit. Kaleb Kassaw, Francesco Luzi, Leslie M. Collins, Jordan M. Malof
2025	J	`jnl`	An Agentic Framework for Autonomous Metamaterial Modeling and Inverse Design. CoRR Darui Lu, Jordan M. Malof, Willie J. Padilla
2025	J	`jnl`	Closing Gaps in Emissions Monitoring with Climate TRACE. CoRR Brittany V. Lancellotti, Jordan M. Malof, Aaron Davitt, Gavin McCormick, Shelby Anderson, Pol Carbó-Mestre, Gary Collins, Verity Crane, Zoheyr Doctor, George Ebri, Kevin Foster, Trey M. Gowdy, Michael Guzzardi, John Heal, Heather Hunter, David Kroodsma, Khandekar Mahammad Galib, Paul J. Markakis, Gavin McDonald, Daniel P. Moore, Eric D. Nguyen, Sabina Parvu, Michael J. Pekala, Christine D. Piatko, Amy Piscopo, Mark Powell, Krsna Raniga, Elizabeth Perez Reilly, Michael S. Robinette, Ishan Saraswat, Patrick Sicurello, Isabella Söldner-Rembold, Raymond Song, Charlotte Underwood, Kyle Bradbury
2025	J	`jnl`	Deep generalized Green's function. J. Comput. Phys. Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh
2025	J	`jnl`	Improving and Evaluating Open Deep Research Agents. CoRR Doaa Allabadi, Kyle Bradbury, Jordan M. Malof
2025	J	`jnl`	Is Self-Supervised Pre-training on Satellite Imagery Better than ImageNet? A Systematic Study with Sentinel-2. CoRR Saad Lahrichi, Zion Sheng, Shufan Xia, Kyle Bradbury, Jordan M. Malof
2025	J	`jnl`	Learning Electromagnetic Metamaterial Physics With ChatGPT. IEEE Access Darui Lu, Yang Deng, Jordan M. Malof, Willie J. Padilla
2025	A	`conf`	Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer. WACV Evelyn A. Stump, Francesco Luzi, Leslie M. Collins, Jordan M. Malof
2025	J	`jnl`	Predicting Next-Day Wildfire Spread with Time Series and Attention. CoRR Saad Lahrichi, Jesse Johnson, Jordan M. Malof
2024	J	`jnl`	Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks? CoRR Kaleb Kassaw, Francesco Luzi, Leslie M. Collins, Jordan M. Malof
2024	J	`jnl`	Can Large Language Models Learn the Physics of Metamaterials? An Empirical Study with ChatGPT. CoRR Darui Lu, Yang Deng, Jordan M. Malof, Willie J. Padilla
2024	C	`conf`	Enhanced Remote Sensing Model Performance Through Self-Supervised Learning with Multi-Spectral Data. IGARSS Marlyne Hakizimana, Emelia Mavis, Yuting Chiu, Jordan M. Malof, Kyle Bradbury
2024	J	`jnl`	Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Can Yaras, Kaleb Kassaw, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2024	A	`conf`	Segment anything, from space? WACV Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2023	J	`jnl`	Deep Active Learning for Scientific Computing in the Wild. CoRR Simiao Ren, Yang Deng, Willie J. Padilla, Leslie M. Collins, Jordan M. Malof
2023	J	`jnl`	Deep Generalized Green's Functions. CoRR Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh
2023	A*	`conf`	Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. AAAI Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof
2023	J	`jnl`	Segment anything, from space? CoRR Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2023	A	`conf`	Transformers For Recognition In Overhead Imagery: A Reality Check. WACV Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2022	J	`jnl`	Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis. CoRR Simiao Ren, Wei Hu, Kyle Bradbury, Dylan Harrison-Atlas, Laura Malaguzzi Valeri, Brian Murray, Jordan M. Malof
2022	A*	`conf`	Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. ICLR Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
2022	J	`jnl`	GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof
2022	J	`jnl`	Hyperparameter-free deep active learning for regression problems via query synthesis. CoRR Simiao Ren, Yang Deng, Willie J. Padilla, Jordan M. Malof
2022	J	`jnl`	Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer. CoRR Evelyn A. Stump, Francesco Luzi, Leslie M. Collins, Jordan M. Malof
2022	J	`jnl`	Meta-simulation for the Automated Design of Synthetic Overhead Imagery. CoRR Handi Yu, Leslie M. Collins, Jordan M. Malof
2022	J	`jnl`	Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. CoRR Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof
2022	J	`jnl`	SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-Shot and Few-Shot Detection Problems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof
2022	J	`jnl`	Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications. Remote. Sens. Zachary D. Calhoun, Saad Lahrichi, Simiao Ren, Jordan M. Malof, Kyle Bradbury
2022	J	`jnl`	Transformers For Recognition In Overhead Imagery: A Reality Check. CoRR Francesco Luzi, Aneesh Gupta, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2022	J	`jnl`	Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning. ISPRS Int. J. Geo Inf. Simiao Ren, Jordan M. Malof, Rob Fetter, Robert H. Beach, James Rineer, Kyle Bradbury
2021	C	`conf`	Application of Compositional Neural Networks for Robust Classification of Infrared Imagery. IGARSS Gregory P. Spell, Leslie M. Collins, Jordan M. Malof
2021	—	`conf`	Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. NeurIPS Datasets and Benchmarks Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof
2021	J	`jnl`	Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. CoRR Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
2021	J	`jnl`	GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery. CoRR Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof
2021	J	`jnl`	Inverse deep learning methods and benchmarks for artificial electromagnetic material design. CoRR Simiao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng, Willie J. Padilla, Jordan M. Malof
2021	J	`jnl`	Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. CoRR Can Yaris, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2021	J	`jnl`	SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems. CoRR Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof
2021	C	`conf`	Wind Turbine Detection with Synthetic Overhead Imagery. IGARSS Wei Hu, Tyler Feldman, Yanchen Jessie Ou, Natalie Tarn, Baoyan Ye, Yang Xu, Jordan M. Malof, Kyle Bradbury
2020	A*	`conf`	Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method. NeurIPS Simiao Ren, Willie Padilla, Jordan M. Malof
2020	J	`jnl`	Benchmarking deep inverse models over time, and the neural-adjoint method. CoRR Simiao Ren, Willie Padilla, Jordan M. Malof
2020	C	`conf`	Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models. IGARSS Varun Nair, Paul Rhee, Jichen Yang, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2020	C	`conf`	Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem. IGARSS Bohao Huang, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof
2020	C	`conf`	Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning. IGARSS Wei Hu, Ben Alexander, Wendell Cathcart, Atsushi Hu, Varun Nair, Lin Zuo, Jordan M. Malof, Leslie M. Collins, Kyle Bradbury
2020	A	`conf`	The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. WACV Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2020	J	`jnl`	The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. CoRR Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2019	J	`jnl`	A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. Jordan M. Malof, Daniël Reichman, Andrew Karem, Hichem Frigui, K. C. Ho, Joseph N. Wilson, Wen-Hsiung Lee, William Cummings, Leslie M. Collins
2019	C	`conf`	A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results. IGARSS Kangcheng Lin, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2019	J	`jnl`	Mapping solar array location, size, and capacity using deep learning and overhead imagery. CoRR Jordan M. Malof, Boning Li, Bohao Huang, Kyle Bradbury, Artem Stretslov
2019	C	`conf`	Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results. IGARSS Fanjie Kong, Cheng Chen, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	J	`jnl`	A Large Comparison of Feature-Based Approaches for Buried Target Classification in Forward-Looking Ground-Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. Joseph A. Camilo, Leslie M. Collins, Jordan M. Malof
2018	J	`jnl`	A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar. CoRR Jordan M. Malof, Daniël Reichman, Andrew Karem, Hichem Frigui, Dominic K. C. Ho, Joseph N. Wilson, Wen-Hsiung Lee, William Cummings, Leslie M. Collins
2018	J	`jnl`	Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery. CoRR Joseph A. Camilo, Rui Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	C	`conf`	Automated Building Energy Consumption Estimation from Aerial Imagery. IGARSS Artem Streltsov, Kyle Bradbury, Jordan M. Malof
2018	C	`conf`	Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels. IGARSS Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	J	`jnl`	Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps. CoRR Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	C	`conf`	Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sébastien Lefèvre, Motaz El-Saban
2018	J	`jnl`	On Choosing Training and Testing Data for Supervised Algorithms in Ground-Penetrating Radar Data for Buried Threat Detection. IEEE Trans. Geosci. Remote. Sens. Daniël Reichman, Leslie M. Collins, Jordan M. Malof
2018	C	`conf`	On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks. IGARSS Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	C	`conf`	Semisupervised Adversarial Discriminative Domain Adaptation, with Applicationto Remote Sensing Data. IGARSS Rui Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2018	J	`jnl`	gprHOG: Several Simple Improvements to the Histogram of Oriented Gradients Feature for Threat Detection in Ground-Penetrating Radar. CoRR Daniel Reichman, Leslie M. Collins, Jordan M. Malof
2017	C	`conf`	A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery. IGARSS Jordan M. Malof, Leslie M. Collins, Kyle Bradbury
2017	J	`jnl`	A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar. CoRR Joseph A. Camilo, Leslie M. Collins, Jordan M. Malof
2017	C	`conf`	Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery. IGARSS Brenda So, Cory Nezin, Vishnu Kaimal, Sam Keene, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2017	—	`conf`	The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection. AIPR Rui Wang, Joseph A. Camilo, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2017	—	`conf`	The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection. AIPR Rui Wang, Joseph A. Camilo, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2017	—	`conf`	Trading spatial resolution for improved accuracy in remote sensing imagery: an empirical study using synthetic data. AIPR Jordan M. Malof, Sravya Chelikani, Leslie M. Collins, Kyle Bradbury
2017	C	`conf`	Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery. IGARSS Shengxin Qian, Sravya Chelikani, Patrick Wang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
2016	J	`jnl`	A Probabilistic Model for Designing Multimodality Landmine Detection Systems to Improve Rates of Advance. IEEE Trans. Geosci. Remote. Sens. Jordan M. Malof, Kenneth D. Morton, Leslie M. Collins, Peter A. Torrione
2016	J	`jnl`	Automatic Detection of Solar Photovoltaic Arrays in High Resolution Aerial Imagery. CoRR Jordan M. Malof, Kyle Bradbury, Leslie M. Collins, Richard G. Newell
2016	B	`conf`	Leveraging seed dictionaries to improve dictionary learning. ICIP Daniël Reichman, Jordan M. Malof, Leslie M. Collins
2016	J	`jnl`	On Choosing Training and Testing Data for Supervised Algorithms in Ground Penetrating Radar Data for Buried Threat Detection. CoRR Daniël Reichman, Leslie M. Collins, Jordan M. Malof
2015	—	`—`	Statistical Models for Improving the Rate of Advance of Buried Target Detection Systems. Jordan M. Malof
2012	J	`jnl`	The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support. Neural Networks Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi
2011	B	`conf`	Optimizing drug therapy with Reinforcement Learning: The case of Anemia Management. IJCNN Jordan M. Malof, Adam E. Gaweda
2009	—	`conf`	A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results. Computer-Aided Diagnosis Maciej A. Mazurowski, Jordan M. Malof, Jacek M. Zurada, Georgia D. Tourassi
2009	B	`conf`	The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. IJCNN Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi