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Hossein Aboutalebi

University of Waterloo

COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data


Apr 24, 2022
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong


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MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis


Oct 12, 2021
Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong


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COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow


Sep 14, 2021
Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong

* 4 pages 

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Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning


Sep 08, 2021
Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup


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Residual Error: a New Performance Measure for Adversarial Robustness


Jun 18, 2021
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong


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COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images


May 14, 2021
Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong

* 12 pages. arXiv admin note: text overlap with arXiv:2105.00256 

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COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images


May 04, 2021
Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong


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COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images


May 01, 2021
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong


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Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards


Dec 26, 2020
Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup


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Self-Gradient Networks


Nov 19, 2020
Hossein Aboutalebi, Mohammad Javad Shafiee Alexander Wong


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Vulnerability Under Adversarial Machine Learning: Bias or Variance?


Aug 01, 2020
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

* 18 pages 

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Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials


Mar 24, 2019
Hossein Aboutalebi, Doina Precup, Tibor Schuster


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