Learning Predictive State Representations From Non-Uniform Sampling. - Yuri Grinberg; Hossein Aboutalebi; Melanie Lyman-Abramovitch; Borja Balle; Doina Precup (AAAI, 2018)

Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. - Hossein Aboutalebi; Doina Precup; Tibor Schuster (AISafety@IJCAI, 2019)

Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials. - Hossein Aboutalebi; Doina Precup; Tibor Schuster (KDH@IJCAI, 2019)

Vulnerability Under Adversarial Machine Learning: Bias or Variance? - Hossein Aboutalebi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CoRR, 2020)

Self-Gradient Networks. - Hossein Aboutalebi; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2020)

COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. - Audrey G. Chung; Maya Pavlova; Hayden Gunraj; Naomi Terhljan; Alexander MacLean; Hossein Aboutalebi; Siddharth Surana; Andy Zhao; Saad Abbasi; Alexander Wong (CCECE, 2021)

Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. - Susan Amin; Maziar Gomrokchi; Hossein Aboutalebi; Harsh Satija; Doina Precup (ICML, 2021)

COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. - Hossein Aboutalebi; Maya Pavlova; Mohammad Javad Shafiee; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images. - Hossein Aboutalebi; Saad Abbasi; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2021)

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. - Maya Pavlova; Naomi Terhljan; Audrey G. Chung; Andy Zhao; Siddharth Surana; Hossein Aboutalebi; Hayden Gunraj; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

Residual Error: a New Performance Measure for Adversarial Robustness. - Hossein Aboutalebi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CoRR, 2021)

Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. - Maziar Gomrokchi; Susan Amin; Hossein Aboutalebi; Alexander Wong; Doina Precup (CoRR, 2021)

MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. - Hossein Aboutalebi; Maya Pavlova; Hayden Gunraj; Mohammad Javad Shafiee; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

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. - Hossein Aboutalebi; Maya Pavlova; Mohammad Javad Shafiee; Adrian Florea; Andrew Hryniowski; Alexander Wong (CoRR, 2022)

COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. - Maya Pavlova; Tia Tuinstra; Hossein Aboutalebi; Andy Zhao; Hayden Gunraj; Alexander Wong (CoRR, 2022)

Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. - Maziar Gomrokchi; Susan Amin; Hossein Aboutalebi; Alexander Wong; Doina Precup (IEEE Access, 2023)

DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection. - Hossein Aboutalebi; Dayou Mao; Carol Xu; Alexander Wong (CoRR, 2023)

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. - Hossein Aboutalebi; Hwanjun Song; Yusheng Xie; Arshit Gupta; Lijia Sun; Hang Su; Igor Shalyminov; Nikolaos Pappas 004; Siffi Singh; Saab Mansour (NAACL-HLT, 2024)

Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. - Hossein Aboutalebi; Mohammad Javad Shafiee; Chi-En Amy Tai; Alexander Wong (IEEE Access, 2024)

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. - Hossein Aboutalebi; Hwanjun Song; Yusheng Xie; Arshit Gupta; Justin Sun; Hang Su; Igor Shalyminov; Nikolaos Pappas 004; Siffi Singh; Saab Mansour (CoRR, 2024)