Benjamin J Radford
Benjamin J Radford
Professor of political science, UNC Charlotte
Verified email at - Homepage
Cited by
Cited by
Comparing GDELT and ICEWS event data
MD Ward, A Beger, J Cutler, M Dickenson, C Dorff, B Radford
Analysis 21 (1), 267-297, 2013
Network traffic anomaly detection using recurrent neural networks
BJ Radford, LM Apolonio, AJ Trias, JA Simpson
arXiv preprint arXiv:1803.10769, 2018
Sequence aggregation rules for anomaly detection in computer network traffic
BJ Radford, BD Richardson, SE Davis
arXiv preprint arXiv:1805.03735, 2018
Death by political party: The relationship between COVID‐19 deaths and political party affiliation in the United States
J Gao, BJ Radford
World Medical & Health Policy 13 (2), 224-249, 2021
Enemy at the gates: Variation in economic growth from civil conflict
S Minhas, BJ Radford
Journal of Conflict Resolution 61 (10), 2105-2129, 2017
Software vulnerability detection using large language models
MD Purba, A Ghosh, BJ Radford, B Chu
2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023
Automated dictionary generation for political eventcoding
BJ Radford
Political Science Research and Methods 9 (1), 157-171, 2021
Regressing location on text for probabilistic geocoding
BJ Radford
arXiv preprint arXiv:2107.00080, 2021
Extended Multilingual Protest News Detection--Shared Task 1, CASE 2021 and 2022
A Hürriyetoğlu, O Mutlu, F Duruşan, O Uca, AS Gürel, B Radford, Y Dai, ...
arXiv preprint arXiv:2211.11360, 2022
Seeing the forest and the trees: Detection and cross-document coreference resolution of militarized interstate disputes
BJ Radford
arXiv preprint arXiv:2005.02966, 2020
Multitask models for supervised protests detection in texts
BJ Radford
arXiv preprint arXiv:2005.02954, 2020
The Ordered Matrix Dirichlet for state-space models
N Stoehr, BJ Radford, R Cotterell, A Schein
International Conference on Artificial Intelligence and Statistics, 1888-1903, 2023
Few-shot upsampling for protest size detection
A Halterman, BJ Radford
arXiv preprint arXiv:2105.11260, 2021
Network traffic anomaly detection using recurrent neural networks. arXiv 2018
BJ Radford, LM Apolonio, AJ Trias, JA Simpson
arXiv preprint arXiv:1803.10769, 0
Estimating conflict losses and reporting biases
BJ Radford, Y Dai, N Stoehr, A Schein, M Fernandez, H Sajid
Proceedings of the National Academy of Sciences 120 (34), e2307372120, 2023
Case 2021 task 2: zero-shot classification of fine-grained sociopolitical events with transformer models
BJ Radford
Proceedings of the 4th workshop on challenges and applications of automated …, 2021
Multilingual word embedding for zero-shot text classification
Y Dai, B Radford
Annual Meeting of the American Political Science Association, Boston, 2018
The Ordered Matrix Dirichlet for modeling ordinal dynamics
N Stoehr, BJ Radford, R Cotterell, A Schein
Proc. 26th Int. Conf. Artif. Intell. Statist, 1-16, 2022
High resolution conflict forecasting with spatial convolutions and long short-term memory
BJ Radford
International Interactions 48 (4), 739-758, 2022
Anomaly detection in cyber network data using a cyber language approach
BD Richardson, BJ Radford, SE Davis, K Hines, D Pekarek
arXiv preprint arXiv:1808.10742, 2018
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