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Benjamin J. Radford
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2020 – today
- 2024
- [i10]Dongyun Han, Abdullah al-Raihan Nayeem, Jason Windett, Yaoyao Dai, Benjamin J. Radford, Isaac Cho:
A Survey on Visualization Approaches in Political Science for Social and Political Factors: Progress to Date and Future Opportunities. CoRR abs/2405.05947 (2024) - 2023
- [c6]Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein:
The Ordered Matrix Dirichlet for State-Space Models. AISTATS 2023: 1888-1903 - [c5]Moumita Das Purba, Arpita Ghosh, Benjamin J. Radford, Bill Chu:
Software Vulnerability Detection using Large Language Models. ISSREW 2023: 112-119 - 2022
- [c4]Yaoyao Dai, Benjamin J. Radford, Andrew Halterman:
Political Event Coding as Text-to-Text Sequence Generation. CASE@EMNLP 2022: 117-123 - [c3]Ali Hürriyetoglu, Osman Mutlu, Firat Durusan, Onur Uca, Alaeddin Selçuk Gürel, Benjamin J. Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Fatih Beyhan, Erdem Yörük:
Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022. CASE@EMNLP 2022: 223-228 - [i9]Ali Hürriyetoglu, Osman Mutlu, Firat Durusan, Onur Uca, Alaeddin Selçuk Gürel, Benjamin J. Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Fatih Beyhan, Erdem Yörük:
Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022. CoRR abs/2211.11360 (2022) - [i8]Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein:
The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics. CoRR abs/2212.04130 (2022) - 2021
- [c2]Andrew Halterman, Benjamin J. Radford:
Few-Shot Upsampling for Protest Size Detection. ACL/IJCNLP (Findings) 2021: 3713-3720 - [i7]Andrew Halterman, Benjamin J. Radford:
Few-Shot Upsampling for Protest Size Detection. CoRR abs/2105.11260 (2021) - [i6]Benjamin J. Radford:
Regressing Location on Text for Probabilistic Geocoding. CoRR abs/2107.00080 (2021) - 2020
- [i5]Benjamin J. Radford:
Multitask Models for Supervised Protests Detection in Texts. CoRR abs/2005.02954 (2020) - [i4]Benjamin J. Radford:
Seeing the Forest and the Trees: Detection and Cross-Document Coreference Resolution of Militarized Interstate Disputes. CoRR abs/2005.02966 (2020)
2010 – 2019
- 2019
- [c1]Benjamin J. Radford:
Multitask Models for Supervised Protest Detection in Texts. CLEF (Working Notes) 2019 - 2018
- [i3]Benjamin J. Radford, Leonardo M. Apolonio, Antonio J. Trias, Jim A. Simpson:
Network Traffic Anomaly Detection Using Recurrent Neural Networks. CoRR abs/1803.10769 (2018) - [i2]Benjamin J. Radford, Bartley D. Richardson, Shawn E. Davis:
Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic. CoRR abs/1805.03735 (2018) - [i1]Bartley D. Richardson, Benjamin J. Radford, Shawn E. Davis, Keegan E. Hines, David Pekarek:
Anomaly Detection in Cyber Network Data Using a Cyber Language Approach. CoRR abs/1808.10742 (2018)
Coauthor Index
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last updated on 2024-08-05 21:17 CEST by the dblp team
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