7 citations · 11 across the 3 of their papers we have counts for
4 papers
Detecting Individuals with Depressive Disorder fromPersonal Google Search and YouTube History Logs
Boyu Zhang, Anis Zaman, Rupam Acharyya +3
Depressive disorder is one of the most prevalent mental illnesses among the global population. However, traditional screening methods require exacting in-person interviews and may…
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…