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ORCIDNina H. Fefferman
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- affiliation: University of Tennessee, Knoxville, TN, USA
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2020 – today
- 2024
[j5]Brittany Story, Patrick Gillespie, Graham Derryberry, Elizabeth P. Derryberry, Nina H. Fefferman, Vasileios Maroulas:
DialectDecoder: Human/machine teaming for bird song classification and anomaly detection. Ecol. Informatics 82: 102657 (2024)- [i6]Amanda Bleichrodt, Lydia Bourouiba, Gerardo Chowell, Eric T. Lofgren, J. Michael Reed, Sadie J. Ryan, Nina H. Fefferman:
Assembling ensembling: An adventure in approaches across disciplines. CoRR abs/2405.02599 (2024) - [i5]John S. McAlister, Nina H. Fefferman:
Insights into the Structured Coordination Game with Neutral Options through Simulation. CoRR abs/2406.19273 (2024) - 2023
- [i4]Iacopo Iacopini
, Jennifer R. Foote, Nina H. Fefferman, Elizabeth P. Derryberry, Matthew J. Silk:
Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication. CoRR abs/2309.03783 (2023) - 2021
- [j4]Jing Jiao, Gonzalo P. Suárez, Nina H. Fefferman:
How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy. PLoS Comput. Biol. 17(6) (2021) - 2020
- [i3]Elizabeth A. Hobson, Matthew J. Silk, Nina H. Fefferman, Daniel B. Larremore, Puck Rombach, Saray Shai, Noa Pinter-Wollman:
A guide to choosing and implementing reference models for social network analysis. CoRR abs/2012.04720 (2020)
2010 – 2019
- 2019
- [j3]Gonzalo P. Suárez, Lazaros K. Gallos, Nina H. Fefferman:
A Case Study in Tailoring a Bio-InspiredCyber-Security Algorithm: DesigningAnomaly Detection for Multilayer Networks. J. Cyber Secur. Mobil. 8(1): 113-132 (2019) - 2018
- [c7]Gonzalo P. Suárez, Lazaros K. Gallos, Nina H. Fefferman:
A Case Study in Tailoring a Bio-Inspired Cyber-Security Algorithm: Designing Anomaly Detection for Multilayer Networks. IEEE Symposium on Security and Privacy Workshops 2018: 281-286 - 2017
- [j2]Lazaros K. Gallos, Maciej Korczynski, Nina H. Fefferman:
Anomaly detection through information sharing under different topologies. EURASIP J. Inf. Secur. 2017: 5 (2017) - [c6]Yasmin B. Kafai, Deborah A. Fields, Michael T. Giang, Nina H. Fefferman, Jen Sun, Daniel Kunka, Jacqueline Wong:
Designing for Massive Engagement in a Tween Community: Participation, Prevention, and Philanthropy in a Virtual Epidemic. IDC 2017: 365-370 - [c5]Deborah A. Fields, Yasmin B. Kafai, Michael T. Giang, Nina H. Fefferman, Jacqueline Wong:
Plagues and people: engineering player participation and prevention in a virtual epidemic. FDG 2017: 29:1-29:10 - 2016
- [j1]Maciej Korczynski, Ali Hamieh, Jun Ho Huh, Henrik Holm, S. Raj Rajagopalan, Nina H. Fefferman:
Hive oversight for network intrusion early warning using DIAMoND: a bee-inspired method for fully distributed cyber defense. IEEE Commun. Mag. 54(6): 60-67 (2016) - [c4]Saurabh Verma, Ali Hamieh, Jun Ho Huh, Henrik Holm, Siva Raj Rajagopalan, Maciej Korczynski, Nina H. Fefferman:
Stopping Amplified DNS DDoS Attacks through Distributed Query Rate Sharing. ARES 2016: 69-78 - 2015
- [c3]Maciej Korczynski, Ali Hamieh, Jun Ho Huh, Henrik Holm, S. Raj Rajagopalan, Nina H. Fefferman:
DIAMoND: Distributed Intrusion/Anomaly Monitoring for Nonparametric Detection. ICCCN 2015: 1-8 - [i2]Lazaros K. Gallos, Nina H. Fefferman:
Simple and efficient self-healing strategy for damaged complex networks. CoRR abs/1511.06729 (2015) - 2014
- [i1]Lazaros K. Gallos, Nina H. Fefferman:
Revealing effective classifiers through network comparison. CoRR abs/1403.2668 (2014)
2000 – 2009
- 2007
- [c2]Eric Lofgren, Nina H. Fefferman, Meena Doshi, Elena N. Naumova:
Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression. BioSurveillance 2007: 114-123 - 2005
- [c1]Nina H. Fefferman, Lainie M. Fefferman:
Mathematical Macrobiology: An Unexploited Opportunity in High School Education. BioMath in the Schools 2005: 61-78
Coauthor Index
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