Asif Rahman

According to our database, Asif Rahman authored at least 13 papers between 2012 and 2024.

Collaborative distances:

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

2024

Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection.

Md. Abu Sayed, Asif Rahman, Christopher Kiekintveld, Sebastian Garcia

CoRR, 2024

2023

Energy Consumption Modeling for DED-based Hybrid Additive Manufacturing.

Md. Rabiul Hasan, Zhichao Liu, Asif Rahman

CoRR, 2023

2022

Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution.

Francesca Manni, Aleksandr Bukharev, Anshul Jain, Shiva Moorthy, Asif Rahman, Anca Bucur

Proceedings of the AMIA 2022, 2022

2021

Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome.

Emma H. Schwager, Katharina Jansson, Asif Rahman, S. Schiffer, Yale Chang, Gregory Boverman, Brian Gross, Minnan Xu-Wilson, P. Boehme, Hubert Truebel, Joseph J. Frassica

npj Digit. Medicine, 2021

Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series.

Asif Rahman, Yale Chang, Jonathan Rubin

CoRR, 2021

2020

Phenotyping with Prior Knowledge using Patient Similarity.

Asif Rahman, Yale Chang, Bryan Conroy, Minnan Xu-Wilson

Proceedings of the Machine Learning for Healthcare Conference, 2020

A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification.

Annamalai Natarajan, Yale Chang, Sara Mariani, Asif Rahman, Gregory Boverman, Shruti Vij, Jonathan Rubin

Proceedings of the Computing in Cardiology, 2020

2019

A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series.

Yale Chang, Jonathan Rubin, Gregory Boverman, Shruti Vij, Asif Rahman, Annamalai Natarajan, Saman Parvaneh

Proceedings of the 46th Computing in Cardiology, 2019

2018

An ensemble boosting model for predicting transfer to the pediatric intensive care unit.

Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson, Junzi Dong, Asif Rahman, Hiep Nguyen, David Moromisato

Int. J. Medical Informatics, 2018

2017

Patient Similarity Using Population Statistics and Multiple Kernel Learning.

Bryan Conroy, Minnan Xu-Wilson, Asif Rahman

Proceedings of the Machine Learning for Health Care Conference, 2017

Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings.

Saman Parvaneh, Jonathan Rubin, Asif Rahman, Bryan Conroy, Saeed Babaeizadeh

Proceedings of the Computing in Cardiology, 2017

2016

Ensemble of Feature-based and Deep learning-based Classifiers for Detection of Abnormal Heart Sounds.

Cristhian Potes, Saman Parvaneh, Asif Rahman, Bryan Conroy

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2012

Axon terminal polarization induced by weak uniform DC electric fields: A modeling study.

Mattia Arlotti, Asif Rahman, Preet Minhas, Marom Bikson

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012