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Khadija Zanna
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Citata da
Citata da
Anno
Bias Reducing Multitask Learning on Mental Health Prediction
K Zanna, K Sridhar, H Yu, A Sano
2022 10th International Conference on Affective Computing and Intelligent …, 2022
132022
Studying the Impact of Mood on Identifying Smartphone Users
K Zanna, S King, T Neal, S Canavan
arXiv preprint arXiv:1906.11960, 2019
52019
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
32021
Learning a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor Data
S King, M Ebraheem, K Zanna, T Neal
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
22020
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Z Yang, P Guo, K Zanna, A Sano
arXiv preprint arXiv:2404.08254, 2024
2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
K Zanna, A Sano
arXiv preprint arXiv:2404.08230, 2024
2024
Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers
K Shibuya, ZD King, M Khalid, H Yu, Y Shen, K Zanna, RL Brown, M Majd, ...
2023 11th International Conference on Affective Computing and Intelligent …, 2023
2023
Toward Culturally Relevant Emotion Detection Using Physiological Signals
K Zanna
University of South Florida, 2020
2020
Authenticating Phone Users Using a Gait-Based Histogram Approach on Mobile App Sessions
T Neal, MA Noor, P Gera, K Zanna, G Kaptan
2019 International Conference on Biometrics (ICB), 1-7, 2019
2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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