3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2024
High Significant Fault Detection in Azure Core Workload Insights
Pranay Lohia, Laurent Boue, Sharath Rangappa +1
Azure Core workload insights have time-series data with different metric units. Faults or Anomalies are observed in these time-series data owing to faults observed with respect to…
cs.CL2022★ 2 cited
Counterfactual Multi-Token Fairness in Text Classification
Pranay Lohia
The counterfactual token generation has been limited to perturbing only a single token in texts that are generally short and single sentences. These tokens are often associated wit…
cs.AI2021★ 3 cited
Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness
Pranay Lohia
Previous post-processing bias mitigation algorithms on both group and individual fairness don't work on regression models and datasets with multi-class numerical labels. We propose…