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2020 – today
- 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)- [j3]Sayde King, Samann Pinder, Daniel Fernández Lanvin, Cristian González García, Javier de Andrés, Miguel Labrador:
Noise signature identification using mobile phones for indoor localization. Multim. Tools Appl. 83(24): 64591-64613 (2024) - [j2]Sayde King, Samann Pinder, Daniel Fernández Lanvin, Cristian González García, Javier de Andrés, Miguel Labrador:
Correction to: Noise signature identification using mobile phones for indoor localization. Multim. Tools Appl. 83(24): 64615-64616 (2024) - [c6]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
- [j1]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) - [c5]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 - [c4]Sayde King, Najare Johnson, Kristin Kosyluk, Tempestt J. Neal:
Therapist Perceptions of Automated Deception Detection in Mental Health Applications. HCI (40) 2023: 83-97 - [c3]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 - 2022
- [c2]Mohamed Ebraheem, Sayde King, Tempestt J. Neal:
Lip Movement as a WiFi-Enabled Behavioral Biometric: A Pilot Study. HCI (40) 2022: 473-480 - 2020
- [c1]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
2010 – 2019
- 2019
- [i1]Khadija Zanna, Sayde King, Tempestt J. Neal, Shaun J. Canavan:
Studying the Impact of Mood on Identifying Smartphone Users. CoRR abs/1906.11960 (2019)
Coauthor Index
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