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ORCIDTempestt J. Neal
Person information
- affiliation: University of South Florida, Bellini College of Artificial Intelligence, Cybersecurity and Computing, Tampa, FL, USA
- affiliation (PhD 2018): University of Florida, Gainesville, FL, USA
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2020 – today
- 2026
[j6]Parush Gera, Tempestt J. Neal:
Deep Learning in Stance Detection: A Survey. ACM Comput. Surv. 58(1): 26:1-26:37 (2026)- 2025
- [j5]Heting Wang
, Yu-Peng Chen, Dinank Bista, Rodrigo Luis Calvo, Niriksha Regmi, Xuanpu Zhang, Tempestt J. Neal, Jaime Ruiz, Lisa Anthony:
'Over Time Everyone's Gonna Be Open to It': User Attitudes Toward Security and Privacy in Continuous Authentication for Smart Homes. IEEE Access 13: 140629-140643 (2025) - [c25]Sayde King, Hoorad Abootalebi, Georgia Ng Wai, Tempestt J. Neal:
Evaluating Visual and Behavioral Signals of Deception in Real-World Contexts. SBP-BRiMS 2025: 131-141 - [i5]Parush Gera, Tempestt J. Neal:
MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection. CoRR abs/2509.03725 (2025) - 2024
- [j4]Sayde King, Tempestt J. Neal:
Applications of AI-Enabled Deception Detection Using Video, Audio, and Physiological Data: A Systematic Review. IEEE Access 12: 135207-135240 (2024) - [c24]Sayde King, Mohamed Ebraheem, Phuong Dang, Tempestt J. Neal:
Toward Emotion Recognition and Person Identification Using Lip Movement from Wireless Signals: A Preliminary Study. FG 2024: 1-5 - 2023
- [j3]Alessandro Negro, Fabio Montagna, Michael N. Teng, Tempestt J. Neal, Sylvia Thomas, Sayde King, Ridita Khan:
Analysis of the evolution of COVID-19 disease understanding through temporal knowledge graphs. Frontiers Res. Metrics Anal. 8 (2023) - [c23]Nele Loecher, Sayde King, Joseph Cabo, Tempestt J. Neal, Kristin Kosyluk:
Assessing the Efficacy of a Self-Stigma Reduction Mental Health Program with Mobile Biometrics: Work-in-Progress. FG 2023: 1-6 - [c22]Sayde King, Najare Johnson, Kristin Kosyluk, Tempestt J. Neal:
Therapist Perceptions of Automated Deception Detection in Mental Health Applications. HCI (40) 2023: 83-97 - [c21]Wilson Lozano, Sayde King, Tempestt J. Neal:
Observations of Caregivers of Persons with Dementia: A Qualitative Study to Assess the Feasibility of Behavior Recognition Using AI for Supporting At-Home Care. HCI (33) 2023: 331-344 - [c20]Saandeep Aathreya, Meghna Chaudhary, Tempestt J. Neal, Shaun J. Canavan:
Multimodal Context-Based Continuous Authentication. IJCB 2023: 1-10 - 2022
- [c19]Parush Gera, Tempestt J. Neal:
A Comparative Analysis of Stance Detection Approaches and Datasets. Eval4NLP 2022: 58-69 - [c18]Mohamed Ebraheem, Sayde King, Tempestt J. Neal:
Lip Movement as a WiFi-Enabled Behavioral Biometric: A Pilot Study. HCI (40) 2022: 473-480 - 2021
- [c17]Khadija Zanna, Tempestt J. Neal, Shaun J. Canavan:
Clustering of Physiological Signals by Emotional State, Race, and Sex. ICMI Companion 2021: 312-316 - [c16]Matthew Sumpter, Tempestt J. Neal:
User Perceptions of Article Credibility Warnings: Towards Understanding the Influence of Journalists and AI Agents. ICWSM Workshops 2021 - 2020
- [c15]Tempestt J. Neal, Shaun J. Canavan:
Mood Versus Identity: Studying the Influence of Affective States on Mobile Biometrics. FG 2020: 562-566 - [c14]Sayde King, Mohamed Ebraheem, Khadija Zanna, Tempestt J. Neal:
Learning a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor Data. FG 2020: 582-586 - [c13]Bashir M. Sabquat Bahar Talukder, Vineetha Menon, Biswajit Ray, Tempestt J. Neal, Md. Tauhidur Rahman:
Towards the Avoidance of Counterfeit Memory: Identifying the DRAM Origin. HOST 2020: 111-121 - [c12]Tempestt J. Neal, Ashokkumar Patel:
A Brief Literature Review and Survey of Adult Perceptions on Biometric Recognition for Infants and Toddlers. IJCB 2020: 1-10 - [c11]Sk Rahatul Jannat, Diego Fabiano, Shaun J. Canavan, Tempestt J. Neal:
Subject Identification Across Large Expression Variations Using 3D Facial Landmarks. ICPR Workshops (1) 2020: 5-13 - [c10]Parush Gera, Nadia Thomas, Tempestt J. Neal:
Hesitation While Posting: A Cross-Sectional Survey of Sensitive Topics and Opinion Sharing on Social Media. SMSociety 2020: 134-140 - [i4]Sk Rahatul Jannat, Diego Fabiano, Shaun J. Canavan, Tempestt J. Neal:
Subject Identification Across Large Expression Variations Using 3D Facial Landmarks. CoRR abs/2005.08339 (2020)
2010 – 2019
- 2019
- [j2]Tempestt J. Neal, Damon L. Woodard:
You Are Not Acting Like Yourself: A Study on Soft Biometric Classification, Person Identification, and Mobile Device Use. IEEE Trans. Biom. Behav. Identity Sci. 1(2): 109-122 (2019) - [c9]Tempestt J. Neal, Md Asaduzzaman Noor, Parush Gera, Khadija Zanna, Gurpreet Kaptan:
Authenticating Phone Users Using a Gait-Based Histogram Approach on Mobile App Sessions. ICB 2019: 1-7 - [c8]Tempestt J. Neal, Damon L. Woodard:
Mobile Biometrics, Replay Attacks, and Behavior Profiling: An Empirical Analysis of Impostor Detection. ICB 2019: 1-8 - [i3]Khadija Zanna, Sayde King, Tempestt J. Neal, Shaun J. Canavan:
Studying the Impact of Mood on Identifying Smartphone Users. CoRR abs/1906.11960 (2019) - [i2]Bashir M. Sabquat Bahar Talukder, Vineetha Menon, Biswajit Ray, Tempestt J. Neal, Md. Tauhidur Rahman:
Towards the Avoidance of Counterfeit Memory: Identifying the DRAM Origin. CoRR abs/1911.03395 (2019) - [i1]Md A. Noor, G. Kaptan, V. Cherukupally, Parush Gera, Tempestt J. Neal:
A Closer Look at Mobile App Usage as a Persistent Biometric: A Small Case Study. CoRR abs/1912.11721 (2019) - 2018
- [j1]Tempestt J. Neal, Kalaivani Sundararajan, Aneez Fatima, Yiming Yan, Yingfei Xiang, Damon L. Woodard:
Surveying Stylometry Techniques and Applications. ACM Comput. Surv. 50(6): 86:1-86:36 (2018) - [c7]Tempestt J. Neal, Damon L. Woodard:
On the Use of Mobile Calling Patterns for Soft Biometric Classification. BTAS 2018: 1-6 - [c6]Kalaivani Sundararajan, Tempestt J. Neal, Damon L. Woodard:
Style Signatures to Combat Biometric Menagerie in Stylometry. ICB 2018: 263-269 - [c5]Tempestt J. Neal, Kalaivani Sundararajan, Damon L. Woodard:
Exploiting Linguistic Style as a Cognitive Biometric for Continuous Verification. ICB 2018: 270-276 - [c4]Tempestt J. Neal, Damon L. Woodard:
A gender-specific behavioral analysis of mobile device usage data. ISBA 2018: 1-8 - 2017
- [c3]Tempestt J. Neal, Damon L. Woodard:
Spoofing analysis of mobile device data as behavioral biometric modalities. IJCB 2017: 62-70 - [c2]Tempestt J. Neal, Damon L. Woodard:
Using associative classification to authenticate mobile device users. IJCB 2017: 71-79 - 2015
- [c1]Tempestt J. Neal, Damon L. Woodard, Aaron D. Striegel:
Mobile device application, Bluetooth, and Wi-Fi usage data as behavioral biometric traits. BTAS 2015: 1-6
Coauthor Index
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