Asif Rahman - RankMe

22 papers B 1Misc 2Journal 10Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	Misc	`conf`	Coordinated Multi-Domain Deception: A Stackelberg Game Approach. ICNC Md. Abu Sayed, Asif Rahman, Ahmed Hemida, Christopher Kiekintveld, Charles A. Kamhoua
2026	J	`jnl`	Coordinated Multi-Domain Deception: A Stackelberg Game Approach. CoRR Md. Abu Sayed, Asif Rahman, Ahmed Hemida, Christopher Kiekintveld, Charles A. Kamhoua
2025	B	`conf`	MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification. TrustCom Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli
2025	J	`jnl`	MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification. CoRR Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli
2025	J	`jnl`	MARCO: A Multi-Agent System for Optimizing HPC Code Generation Using Large Language Models. CoRR Asif Rahman, Veljko Cvetkovic, Kathleen Reece, Aidan Walters, Yasir Hassan, Aneesh Tummeti, Bryan Torres, Denise Cooney, Margaret Ellis, Dimitrios S. Nikolopoulos
2024	—	`conf`	Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection. ACSAC Workshops Md. Abu Sayed, Asif Rahman, Christopher Kiekintveld, Sebastián García
2024	J	`jnl`	Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection. CoRR Md. Abu Sayed, Asif Rahman, Christopher Kiekintveld, Sebastián García
2024	—	`conf`	Using Choice Overload to Degrade Cyber Attacks. GameSec (2) Asif Rahman, Carlos Natividad, Md. Abu Sayed, Palvi Aggarwal, Christopher D. Kiekintveld
2023	J	`jnl`	Energy Consumption Modeling for DED-based Hybrid Additive Manufacturing. CoRR Md. Rabiul Hasan, Zhichao Liu, Asif Rahman
2022	Misc	`conf`	Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution. AMIA Francesca Manni, Aleksandr Bukharev, Anshul Jain, Shiva Moorthy, Asif Rahman, Anca Bucur
2021	J	`jnl`	Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series. CoRR Asif Rahman, Yale Chang, Jonathan Rubin
2021	J	`jnl`	Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome. npj Digit. Medicine 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
2020	—	`conf`	A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification. CinC Annamalai Natarajan, Yale Chang, Sara Mariani, Asif Rahman, Gregory Boverman, Shruti Vij, Jonathan Rubin
2020	—	`conf`	Phenotyping with Prior Knowledge using Patient Similarity. MLHC Asif Rahman, Yale Chang, Bryan Conroy, Minnan Xu-Wilson
2019	—	`conf`	A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series. CinC Yale Chang, Jonathan Rubin, Gregory Boverman, Shruti Vij, Asif Rahman, Annamalai Natarajan, Saman Parvaneh
2018	J	`jnl`	An ensemble boosting model for predicting transfer to the pediatric intensive care unit. Int. J. Medical Informatics Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson, Junzi Dong, Asif Rahman, Hiep Nguyen, David Moromisato
2017	J	`jnl`	An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit. CoRR Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson, Junzi Dong, Asif Rahman, Hiep Nguyen, David Moromisato
2017	—	`conf`	Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings. CinC Saman Parvaneh, Jonathan Rubin, Asif Rahman, Bryan Conroy, Saeed Babaeizadeh
2017	J	`jnl`	Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings. CoRR Jonathan Rubin, Saman Parvaneh, Asif Rahman, Bryan Conroy, Saeed Babaeizadeh
2017	—	`conf`	Patient Similarity Using Population Statistics and Multiple Kernel Learning. MLHC Bryan Conroy, Minnan Xu-Wilson, Asif Rahman
2016	—	`conf`	Ensemble of Feature-based and Deep learning-based Classifiers for Detection of Abnormal Heart Sounds. CinC Cristhian Potes, Saman Parvaneh, Asif Rahman, Bryan Conroy
2012	—	`conf`	Axon terminal polarization induced by weak uniform DC electric fields: A modeling study. EMBC Mattia Arlotti, Asif Rahman, Preet Minhas, Marom Bikson