3 papers
cs.LG2026
Deep learning approaches show promise for predicting childhood malnutrition: A comparative study with traditional machine learning methods using survey data
Deepak Bastola, Yang Li
Childhood malnutrition remains a major public health concern in Nepal and other low-resource settings, while conventional case-finding approaches are labor-intensive and frequently…
cs.LG2026
Predicting Anemia Among Under-Five Children in Nepal Using Machine Learning and Deep Learning
Deepak Bastola, Pitambar Acharya, Dipak Dulal +2
Childhood anemia remains a major public health challenge in Nepal and is associated with impaired growth, cognition, and increased morbidity. Using World Health Organization hemogl…
stat.ML2025
Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering
Deepak Bastola, Woohyeok Choi
Legal documents pose unique challenges for text classification due to their domain-specific language and often limited labeled data. This paper proposes a hybrid approach for class…