7 citations · 7 across the 2 of their papers we have counts for
4 papers
Detection and Mitigation of Bias in Ted Talk Ratings
Rupam Acharyya, Shouman Das, Ankani Chattoraj +2
Unbiased data collection is essential to guaranteeing fairness in artificial intelligence models. Implicit bias, a form of behavioral conditioning that leads us to attribute predet…
To be or not to be? A spatial predictive crime model for Rochester
Ankani Chattoraj, Rupam Acharyya, Sabyasachi Shivkumar +2
This project uses a spatial model (Geographically Weighted Regression) to relate various physical and social features to crime rates. Besides making interesting predictions from ba…
FairyTED: A Fair Rating Predictor for TED Talk Data
Rupam Acharyya, Shouman Das, Ankani Chattoraj +1
With the recent trend of applying machine learning in every aspect of human life, it is important to incorporate fairness into the core of the predictive algorithms. We address the…
A probabilistic population code based on neural samples
Sabyasachi Shivkumar, Richard D. Lange, Ankani Chattoraj +1
Sensory processing is often characterized as implementing probabilistic inference: networks of neurons compute posterior beliefs over unobserved causes given the sensory inputs. Ho…