Ramchandra Rimal

According to our database, Ramchandra Rimal authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Graph Attention Network-Based Detection of Autism Spectrum Disorder.

Abigail Kelly, Ramchandra Rimal, Arpan Man Sainju

CoRR, March, 2026

2025

Comparative study of various machine learning methods on ASD classification.

Ramchandra Rimal, Mitchell Brannon, Yingxin Wang, Xin Yang

Int. J. Data Sci. Anal., August, 2025

Colocation Mining: Estimating Neighborhood Relationships and Identifying Regional Patterns.

Abigail Kelly, Arpan Man Sainju, Dipesh Shrestha, Ramchandra Rimal

Proceedings of the 2025 ACM Southeast Conference, 2025

2024

Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models.

Nawa Raj Pokhrel, Keshab R. Dahal, Ramchandra Rimal, Hum Nath Bhandari, Binod Rimal

Softw., 2024

2022

LSTM-SDM: An integrated framework of LSTM implementation for sequential data modeling.

Hum Nath Bhandari, Binod Rimal, Nawa Raj Pokhrel, Ramchandra Rimal, Keshab R. Dahal

Softw. Impacts, December, 2022

Comparative study of machine learning and deep learning methods on ASD classification.

Ramchandra Rimal, Mitchell Brannon, Yingxin Wang

CoRR, 2022

2021

Sparse Popularity Adjusted Stochastic Block Model.

Majid Noroozi, Marianna Pensky, Ramchandra Rimal

J. Mach. Learn. Res., 2021