| 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 | 72 | 2021 |
| 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 | 45 | 2019 |
| 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 | 45 | 2018 |
| 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 | 22 | 2017 |
| 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 | 20 | 2020 |
| 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 | 6 | 2020 |
| 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 | 1 | 2021 |
| Algorithms for tracking with a foveal sensor G Spell, D Cochran 2015 49th Asilomar Conference on Signals, Systems and Computers, 1563-1565, 2015 | 1 | 2015 |
| 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 | | 2023 |
| 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 | | 2023 |
| 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 | | 2023 |
| 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 | | |
Kevin J LiangFundamental AI Research (FAIR) at MetaDirección de correo verificada de meta.com
