Search Results for author: Khadija Zanna

Found 5 papers, 1 papers with code

Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring

no code implementations21 Mar 2025 Khadija Zanna, Akane Sano

Causal discovery (CD) plays a pivotal role in numerous scientific fields by clarifying the causal relationships that underlie phenomena observed in diverse disciplines.

Active Learning Causal Discovery +2

Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality

no code implementations12 Apr 2024 Khadija Zanna, Akane Sano

Bias originates from both data and algorithmic design, often exacerbated by traditional fairness methods that fail to address the subtle impacts of protected attributes.

Decision Making Fairness +1

Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models

1 code implementation12 Apr 2024 Zeyu Yang, Han Yu, Peikun Guo, Khadija Zanna, Xiaoxue Yang, Akane Sano

Diffusion models have emerged as a robust framework for various generative tasks, including tabular data synthesis.

Fairness Tabular Data Generation

Bias Reducing Multitask Learning on Mental Health Prediction

no code implementations7 Aug 2022 Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano

However, there is still a lack of standard in evaluating bias in such machine learning models in the field, which leads to challenges in providing reliable predictions and in addressing disparities.

Fairness Feature Importance +3

Studying the Impact of Mood on Identifying Smartphone Users

no code implementations27 Jun 2019 Khadija Zanna, Sayde King, Tempestt Neal, Shaun Canavan

This paper explores the identification of smartphone users when certain samples collected while the subject felt happy, upset or stressed were absent or present.

Cannot find the paper you are looking for? You can Submit a new open access paper.