1 citations · 1 across the 2 of their papers we have counts for
4 papers
Efficient ResNets: Residual Network Design
Aditya Thakur, Harish Chauhan, Nikunj Gupta
ResNets (or Residual Networks) are one of the most commonly used models for image classification tasks. In this project, we design and train a modified ResNet model for CIFAR-10 im…
Understanding human mobility patterns in Chicago: an analysis of taxi data using clustering techniques
Harish Chauhan, Nikunj Gupta, Zoe Haskell-Craig
Understanding human mobility patterns is important in applications as diverse as urban planning, public health, and political organizing. One rich source of data on human mobility…
Predicting blood pressure under circumstances of missing data: An analysis of missing data patterns and imputation methods using NHANES
Harish Chauhan, Nikunj Gupta, Zoe Haskell-Craig
The World Health Organization defines cardio-vascular disease (CVD) as "a group of disorders of the heart and blood vessels," including coronary heart disease and stroke (WHO 21).…
Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms
Shengjia Chen, Nikunj Gupta, Woodward B. Galbraith +2
Rheumatoid arthritis (RA) is an autoimmune condition caused when patients' immune system mistakenly targets their own tissue. Machine learning (ML) has the potential to identify pa…