2 citations · 2 across the 12 of their papers we have counts for
14 papers
Fairness Perceptions in Regression-based Predictive Models
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla, Morgan Stuart +1
Regression-based predictive analytics used in modern kidney transplantation is known to inherit biases from training data. This leads to social discrimination and inefficient organ…
Iterative Recommendations based on Monte Carlo Sampling and Trust Estimation in Multi-Stage Vehicular Traffic Routing Games
Doris E. M. Brown, Venkata Sriram Siddhardh Nadendla, Sajal K. Das
The shortest-time route recommendations offered by modern navigation systems fuel selfish routing in urban vehicular traffic networks and are therefore one of the main reasons for…
Driver Fatigue Prediction using Randomly Activated Neural Networks for Smart Ridesharing Platforms
Sree Pooja Akula, Mukund Telukunta, Venkata Sriram Siddhardh Nadendla
Drivers in ridesharing platforms exhibit cognitive atrophy and fatigue as they accept ride offers along the day, which can have a significant impact on the overall efficiency of th…
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
Mukund Telukunta, Sukruth Rao, Gabriella Stickney +2
Modern kidney placement incorporates several intelligent recommendation systems which exhibit social discrimination due to biases inherited from training data. Although initial att…
TASR: A Novel Trust-Aware Stackelberg Routing Algorithm to Mitigate Traffic Congestion
Doris E. M. Brown, Venkata Sriram Siddhardh Nadendla, Sajal K. Das
Stackelberg routing platforms (SRP) reduce congestion in one-shot traffic networks by proposing optimal route recommendations to selfish travelers. Traditionally, Stackelberg routi…
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla
Traditional algorithmic fairness notions rely on label feedback, which can only be elicited from expert critics. However, in most practical applications, several non-expert stakeho…