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 | 28 | 2022 |
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Z Yang, P Guo, K Zanna, A Sano arXiv preprint arXiv:2404.08254, 2024 | 7 | 2024 |
Studying the Impact of Mood on Identifying Smartphone Users K Zanna, S King, T Neal, S Canavan arXiv preprint arXiv:1906.11960, 2019 | 6 | 2019 |
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 | 3 | 2023 |
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 |
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 | 2 | 2020 |
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 | 1 | 2024 |
Abstract P464: Performance of an Automated Sleep Scoring Approach for Actigraphy Data in Children and Adolescents PW Chen, M Banker, M Kaye, PX Song, K Zanna, A Sano, A Cantoral, ... Circulation 149 (Suppl_1), AP464-AP464, 2024 | | 2024 |
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 |