403 citations · 936 across the 29 of their papers we have counts for
3 papers · 1 filter
Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
Shraddha M. Naik, Tanujit Chakraborty, Madhurima Panja +2
Real-world datasets often exhibit imbalanced data distribution, where certain class levels are severely underrepresented. In such cases, traditional pattern classifiers have shown…
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
Xueqing Liu, Nina Deliu, Tanujit Chakraborty +2
Mobile health (mHealth) interventions often aim to improve distal outcomes, such as clinical conditions, by optimizing proximal outcomes through just-in-time adaptive interventions…
Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar +1
Forecasting time series data is a critical area of research with applications spanning from stock prices to early epidemic prediction. While numerous statistical and machine learni…