Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion. - Xu Liu 007; Steven W. Chen; Shreyas Aditya; Nivedha Sivakumar; Sandeep Dcunha; Chao Qu; Camillo J. Taylor; Jnaneshwar Das; Vijay Kumar 001 (IROS, 2018)

Fair SA: Sensitivity Analysis for Fairness in Face Recognition. - Aparna R. Joshi; Xavier Suau Cuadros; Nivedha Sivakumar; Luca Zappella; Nicholas Apostoloff (AFCR, 2021)

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models. - Natalie Mackraz; Nivedha Sivakumar; Samira Khorshidi; Krishna Patel; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2024)

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. - Yinong Oliver Wang; Nivedha Sivakumar; Falaah Arif Khan; Rin Metcalf Susa; Adam Golinski; Natalie Mackraz; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)

Fairness Dynamics During Training. - Krishna Patel; Nivedha Sivakumar; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution. - Falaah Arif Khan; Nivedha Sivakumar; Yinong Oliver Wang; Katherine Metcalf; Cezanne Camacho; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)