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Gregory Spell
Gregory Spell
Подтвержден адрес электронной почты в домене duke.edu
Название
Процитировано
Процитировано
Год
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
782021
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
522019
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
472018
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
232017
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
222020
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
72020
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
22021
Mixture manifold networks: a computationally efficient baseline for inverse modeling
GP Spell, S Ren, LM Collins, JM Malof
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9874-9881, 2023
12023
Real-data performance evaluation of composite synthetic IR data
G Spell, C Nadell, B Bahhur, K Manser
Synthetic Data for Artificial Intelligence and Machine Learning: Tools …, 2023
12023
Real-data performance evaluation of Unreal Engine synthetic IR data
CC Nadell, GP Spell, M Jeiran, KE Manser
Synthetic Data for Artificial Intelligence and Machine Learning: Tools …, 2023
12023
Algorithms for tracking with a foveal sensor
G Spell, D Cochran
2015 49th Asilomar Conference on Signals, Systems and Computers, 1563-1565, 2015
12015
Integration of synthetic data into real world computer vision pipelines
GP Spell, M Tran, P Torrione, M Jeiran, B Bahhur, K Manser
Synthetic Data for Artificial Intelligence and Machine Learning: Tools …, 2024
2024
Deep Learning for Applications in Inverse Modeling, Legislator Analysis, and Computer Vision for Security
G Spell
Duke University, 2023
2023
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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Статьи 1–17