Asif Rahman

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 13

Top Topics

Multiple Kernel

Recurrent Neural Networks

Gradient Boosting

Chronic Hepatitis

Top Venues

Int. J. Medical Informatics

Publications

Md Rabiul Hasan, Zhichao Liu, Asif Rahman
Energy Consumption Modeling for DED-based Hybrid Additive Manufacturing. CoRR (2023)
Francesca Manni, Aleksandr Bukharev, Anshul Jain, Shiva Moorthy, Asif Rahman, Anca Bucur
Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution. AMIA (2022)
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
Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome. npj Digit. Medicine 4 (2021)
Asif Rahman, Yale Chang, Jonathan Rubin
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series. CoRR (2021)
Annamalai Natarajan, Yale Chang, Sara Mariani, Asif Rahman, Gregory Boverman, Shruti Vij, Jonathan Rubin
A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification. CinC (2020)
Asif Rahman, Yale Chang, Bryan Conroy, Minnan Xu-Wilson
Phenotyping with Prior Knowledge using Patient Similarity. MLHC (2020)
Yale Chang, Jonathan Rubin, Gregory Boverman, Shruti Vij, Asif Rahman, Annamalai Natarajan, Saman Parvaneh
A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series. CinC (2019)
Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson, Junzi Dong, Asif Rahman, Hiep Nguyen, David Moromisato
An ensemble boosting model for predicting transfer to the pediatric intensive care unit. Int. J. Medical Informatics 112 (2018)
Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson, Junzi Dong, Asif Rahman, Hiep Nguyen, David Moromisato
An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit. CoRR (2017)
Bryan Conroy, Minnan Xu-Wilson, Asif Rahman
Patient Similarity Using Population Statistics and Multiple Kernel Learning. MLHC (2017)
Jonathan Rubin, Saman Parvaneh, Asif Rahman, Bryan Conroy, Saeed Babaeizadeh
Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings. CoRR (2017)
Saman Parvaneh, Jonathan Rubin, Asif Rahman, Bryan Conroy, Saeed Babaeizadeh
Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings. CinC (2017)
Cristhian Potes, Saman Parvaneh, Asif Rahman, Bryan Conroy
Ensemble of Feature-based and Deep learning-based Classifiers for Detection of Abnormal Heart Sounds. CinC (2016)
Mattia Arlotti, Asif Rahman, Preet Minhas, Marom Bikson
Axon terminal polarization induced by weak uniform DC electric fields: A modeling study. EMBC (2012)