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ORCIDAsif Rahman
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2020 – today
- 2023
[i4]Md. Rabiul Hasan
, Zhichao Liu, Asif Rahman:
Energy Consumption Modeling for DED-based Hybrid Additive Manufacturing. CoRR abs/2305.09104 (2023)- 2022
- [c8]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 - 2021
- [j2]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) - [i3]Asif Rahman, Yale Chang, Jonathan Rubin:
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series. CoRR abs/2109.07602 (2021) - 2020
- [c7]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: 1-4 - [c6]Asif Rahman, Yale Chang, Bryan Conroy, Minnan Xu-Wilson:
Phenotyping with Prior Knowledge using Patient Similarity. MLHC 2020: 331-351
2010 – 2019
- 2019
- [c5]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: 1-4 - 2018
- [j1]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: 15-20 (2018) - 2017
- [c4]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 - [c3]Bryan Conroy, Minnan Xu-Wilson, Asif Rahman:
Patient Similarity Using Population Statistics and Multiple Kernel Learning. MLHC 2017: 191-203 - [i2]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 abs/1707.04958 (2017) - [i1]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 abs/1710.05817 (2017) - 2016
- [c2]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 - 2012
- [c1]Mattia Arlotti, Asif Rahman, Preet Minhas, Marom Bikson:
Axon terminal polarization induced by weak uniform DC electric fields: A modeling study. EMBC 2012: 4575-4578
Coauthor Index
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