Tempestt Neal, Ph.D.
Tempestt Neal, Ph.D.
Assistant Professor, University of South Florida
Preverjeni e-poštni naslov na usf.edu - Domača stran
Surveying stylometry techniques and applications
T Neal, K Sundararajan, A Fatima, Y Yan, Y Xiang, D Woodard
ACM Computing Surveys (CSuR) 50 (6), 1-36, 2017
Surveying biometric authentication for mobile device security
TJ Neal, DL Woodard
Journal of Pattern Recognition Research 1 (74-110), 4, 2016
Mobile device application, bluetooth, and wi-fi usage data as behavioral biometric traits
TJ Neal, DL Woodard, AD Striegel
2015 IEEE 7th International Conference on Biometrics Theory, Applications …, 2015
Exploiting linguistic style as a cognitive biometric for continuous verification
T Neal, K Sundararajan, D Woodard
2018 International Conference on Biometrics (ICB), 270-276, 2018
You are not acting like yourself: A study on soft biometric classification, person identification, and mobile device use
TJ Neal, DL Woodard
IEEE Transactions on Biometrics, Behavior, and Identity Science 1 (2), 109-122, 2019
A gender-specific behavioral analysis of mobile device usage data
TJ Neal, DL Woodard
2018 IEEE 4th International Conference on Identity, Security, and Behavior …, 2018
Subject identification across large expression variations using 3D facial landmarks
SKR Jannat, D Fabiano, S Canavan, T Neal
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
Towards the avoidance of counterfeit memory: Identifying the DRAM origin
BMSB Talukder, V Menon, B Ray, T Neal, MT Rahman
2020 IEEE International Symposium on Hardware Oriented Security and Trust …, 2020
Using associative classification to authenticate mobile device users
TJ Neal, DL Woodard
2017 IEEE international joint conference on biometrics (IJCB), 71-79, 2017
Hesitation while posting: A cross-sectional survey of sensitive topics and opinion sharing on social media
P Gera, N Thomas, T Neal
International Conference on Social Media and Society, 134-140, 2020
Characterizing user experiences with an sms text messaging–based mhealth intervention: Mixed methods study
SL King, J Lebert, LA Karpisek, A Phillips, T Neal, K Kosyluk
JMIR Formative Research 6 (5), e35699, 2022
Mood versus identity: studying the influence of affective states on mobile biometrics
T Neal, S Canavan
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
Studying the impact of mood on identifying smartphone users
K Zanna, S King, T Neal, S Canavan
arXiv preprint arXiv:1906.11960, 2019
Style signatures to combat biometric menagerie in stylometry
K Sundararajan, T Neal, D Woodard
2018 International Conference on Biometrics (ICB), 263-269, 2018
Mobile biometrics, replay attacks, and behavior profiling: An empirical analysis of impostor detection
T Neal, D Woodard
2019 International Conference on Biometrics (ICB), 1-8, 2019
Spoofing analysis of mobile device data as behavioral biometric modalities
TJ Neal, DL Woodard
2017 IEEE international joint conference on biometrics (IJCB), 62-70, 2017
Clustering of physiological signals by emotional state, race, and sex
K Zanna, T Neal, S Canavan
Companion Publication of the 2021 International Conference on Multimodal …, 2021
On the use of mobile calling patterns for soft biometric classification
TJ Neal, DL Woodard
2018 IEEE 9th International Conference on Biometrics Theory, Applications …, 2018
On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19
M Chaudhary, K Kosyluk, S Thomas, T Neal
Scientific Reports 13 (1), 10694, 2023
Lip Movement as a WiFi-Enabled Behavioral Biometric: A Pilot Study
M Ebraheem, S King, T Neal
International Conference on Human-Computer Interaction, 473-480, 2022
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