On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (CoRR, 2020)

Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (CoRR, 2021)

On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (CoRR, 2022)

Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-expert Stakeholders. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (PKDD/ECML Workshops (1), 2023)

Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement. - Mukund Telukunta; Sukruth Rao; Gabriella Stickney; Venkata Sriram Siddhardh Nadendla; Casey Canfield (CHIL, 2024)

Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement. - Mukund Telukunta; Sukruth Rao; Gabriella Stickney; Venkata Sriram Siddardh Nadendla; Casey Canfield (CoRR, 2024)

Driver Fatigue Prediction using Randomly Activated Neural Networks for Smart Ridesharing Platforms. - Sree Pooja Akula; Mukund Telukunta; Venkata Sriram Siddhardh Nadendla (CoRR, 2024)

Fairness Perceptions in Regression-based Predictive Models. - Mukund Telukunta; Venkata Sriram Siddhardh Nadendla; Morgan Stuart; Casey Canfield (CoRR, 2025)