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Gregory Spell
Gregory Spell
duke.edu의 이메일 확인됨
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Flop: Federated learning on medical datasets using partial networks
Q Yang, J Zhang, W Hao, GP Spell, L Carin
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
442021
Automatic threat recognition of prohibited items at aviation checkpoint with x-ray imaging: a deep learning approach
KJ Liang, G Heilmann, C Gregory, SO Diallo, D Carlson, GP Spell, ...
Anomaly Detection and Imaging with X-Rays (ADIX) III 10632, 1063203, 2018
362018
Toward automatic threat recognition for airport X-ray baggage screening with deep convolutional object detection
KJ Liang, JB Sigman, GP Spell, D Strellis, W Chang, F Liu, T Mehta, ...
arXiv preprint arXiv:1912.06329, 2019
252019
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
A Stevens, Y Pu, Y Sun, G Spell, L Carin
Artificial Intelligence and Statistics, 121-129, 2017
182017
Background adaptive faster R-CNN for semi-supervised convolutional object detection of threats in x-ray images
JB Sigman, GP Spell, KJ Liang, L Carin
Anomaly Detection and Imaging with X-Rays (ADIX) V 11404, 12-21, 2020
112020
An embedding model for estimating legislative preferences from the frequency and sentiment of tweets
G Spell, B Guay, S Hillygus, L Carin
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
52020
Application of Compositional Neural Networks for Robust Classification of Infrared Imagery
GP Spell, LM Collins, JM Malof
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2799 …, 2021
12021
Algorithms for tracking with a foveal sensor
G Spell, D Cochran
2015 49th Asilomar Conference on Signals, Systems and Computers, 1563-1565, 2015
12015
Deep Learning for Applications in Inverse Modeling, Legislator Analysis, and Computer Vision for Security
G Spell
Duke University, 2023
2023
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
GP Spell, S Ren, LM Collins, JM Malof
arXiv preprint arXiv:2211.14366, 2022
2022
Using Deep and Active Learning Classifiers to Identify Congressional Delegation to Administrative Agencies
A Bussing, JY Lerner, GP Spell
2022
Using Deep and Active Learning Classifiers to Identify Congressional Delegation to Administrative Agencies
JY Lerner, GP Spell
2021
Supplemental Information for: Using Deep and Active Learning Classifiers to Identify Congressional Delegation to Administrative Agencies
JY Lerner, G Spell
2021
The Elephant in the Chamber? Incorporating Tweets about Trump into Congressional Ideal Point Estimates
G Spell, B Guay, DS Hillygus, L Carin
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