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 | 265 | 2017 |
Surveying biometric authentication for mobile device security TJ Neal, DL Woodard Journal of Pattern Recognition Research 1 (74-110), 4, 2016 | 58 | 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 | 40 | 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 | 27 | 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 | 19 | 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 | 13 | 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 | 11 | 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 | 11 | 2020 |
Using associative classification to authenticate mobile device users TJ Neal, DL Woodard 2017 IEEE international joint conference on biometrics (IJCB), 71-79, 2017 | 8 | 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 | 7 | 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 | 6 | 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 | 5 | 2020 |
Studying the impact of mood on identifying smartphone users K Zanna, S King, T Neal, S Canavan arXiv preprint arXiv:1906.11960, 2019 | 5 | 2019 |
Style signatures to combat biometric menagerie in stylometry K Sundararajan, T Neal, D Woodard 2018 International Conference on Biometrics (ICB), 263-269, 2018 | 5 | 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 | 4 | 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 | 4 | 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 | 3 | 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 | 3 | 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 | 2 | 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 | 2 | 2022 |