most citedPredicting Autism Spectrum Disorder Using Machine Learning Classifiers

39 citations · 39 across the 3 of their papers we have counts for

collaborators

3 papers

math.ST2021

Robust Strongly Convergent M-Estimators Under Non-IID Assumption

K. P. Chowdhury

M-estimators for Generalized Linear Models are considered under minimal assumptions. Under these preliminaries, strong convergence of the estimators are discussed and an expansion…

stat.ML2021

Nonparametric Functional Analysis of Generalized Linear Models Under Nonlinear Constraints

K. P. Chowdhury

This article introduces a novel nonparametric methodology for Generalized Linear Models which combines the strengths of the binary regression and latent variable formulations for c…

cs.LG2021★ 39 cited

Predicting Autism Spectrum Disorder Using Machine Learning Classifiers

Koushik Chowdhury, Mir Ahmad Iraj

Autism Spectrum Disorder (ASD) is on the rise and constantly growing. Earlier identify of ASD with the best outcome will allow someone to be safe and healthy by proper nursing. Hum…