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Khadija Zanna
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2020 – today
- 2025
- [i5]Khadija Zanna, Akane Sano:
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring. CoRR abs/2503.17569 (2025) - 2024
- [i4]Khadija Zanna, Akane Sano:
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality. CoRR abs/2404.08230 (2024) - [i3]Zeyu Yang, Peikun Guo, Khadija Zanna, Akane Sano:
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models. CoRR abs/2404.08254 (2024) - 2023
- [c5]Kei Shibuya, Zachary D. King, Maryam Khalid
, Han Yu, Yufei Shen, Khadija Zanna, Ryan L. Brown, Marzieh Majd, Christopher P. Fagundes, Akane Sano:
Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers. ACIIW 2023: 1-4 - 2022
- [c4]Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano:
Bias Reducing Multitask Learning on Mental Health Prediction. ACII 2022: 1-8 - [i2]Khadija Zanna
Bias Reducing Multitask Learning on Mental Health Prediction. CoRR abs/2208.03621 (2022) - 2021
- [c3]Khadija Zanna
Clustering of Physiological Signals by Emotional State, Race, and Sex. ICMI Companion 2021: 312-316 - 2020
- [c2]Sayde King, Mohamed Ebraheem, Khadija Zanna
Learning a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor Data. FG 2020: 582-586
2010 – 2019
- 2019
- [c1]Tempestt J. Neal
Authenticating Phone Users Using a Gait-Based Histogram Approach on Mobile App Sessions. ICB 2019: 1-7 - [i1]Khadija Zanna, Sayde King
Studying the Impact of Mood on Identifying Smartphone Users. CoRR abs/1906.11960 (2019)
Coauthor Index
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