Search Results - "Aboutalebi, Hossein"

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 by Aboutalebi, Hossein, Pavlova, Maya, Shafiee, Mohammad Javad, Florea, Adrian, Hryniowski, Andrew, Wong, Alexander

“…Since the World Health Organization declared COVID-19 a pandemic in 2020, the global community has faced ongoing challenges in controlling and mitigating the…”
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COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images by Aboutalebi, Hossein, Pavlova, Maya, Shafiee, Mohammad Javad, Sabri, Ali, Alaref, Amer, Wong, Alexander

“…The world is still struggling in controlling and containing the spread of the COVID-19 pandemic caused by the SARS-CoV-2 virus. The medical conditions…”
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Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning by Gomrokchi, Maziar, Amin, Susan, Aboutalebi, Hossein, Wong, Alexander, Precup, Doina

“…While significant research advances have been made in the field of deep reinforcement learning, there have been no concrete adversarial attack strategies in…”
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Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating by Aboutalebi, Hossein, Shafiee, Mohammad Javad, Tai, Chi-En Amy, Wong, Alexander

“…Significant advances have been made in recent years in improving the robustness of deep neural networks, particularly under adversarial machine learning…”
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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 by Pavlova, Maya, Terhljan, Naomi, Chung, Audrey G., Zhao, Andy, Surana, Siddharth, Aboutalebi, Hossein, Gunraj, Hayden, Sabri, Ali, Alaref, Amer, Wong, Alexander

“…As the COVID-19 pandemic devastates globally, the use of chest X-ray (CXR) imaging as a complimentary screening strategy to RT-PCR testing continues to grow…”
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MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis by Aboutalebi, Hossein, Pavlova, Maya, Gunraj, Hayden, Shafiee, Mohammad Javad, Sabri, Ali, Alaref, Amer, Wong, Alexander

“…Medical image analysis continues to hold interesting challenges given the subtle characteristics of certain diseases and the significant overlap in appearance…”
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Mechanism Design for Distance Metric Learning by Aboutalebi, Hossein

“…Metric learning is an important area of machine learning, in which a similarity measure between sets of objects is learned from data. In a modern context, this…”
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Self-Gradient Networks by Aboutalebi, Hossein, Wong, Mohammad Javad Shafiee Alexander

“…The incredible effectiveness of adversarial attacks on fooling deep neural networks poses a tremendous hurdle in the widespread adoption of deep learning in…”
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DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection by Aboutalebi, Hossein, Mao, Dayou, Fan, Rongqi, Xu, Carol, He, Chris, Wong, Alexander

“…The tremendous recent advances in generative artificial intelligence techniques have led to significant successes and promise in a wide range of different…”
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Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning by Gomrokchi, Maziar, Amin, Susan, Aboutalebi, Hossein, Wong, Alexander, Precup, Doina

“…While significant research advances have been made in the field of deep reinforcement learning, there have been no concrete adversarial attack strategies in…”
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MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets by Aboutalebi, Hossein, Song, Hwanjun, Xie, Yusheng, Gupta, Arshit, Sun, Justin, Su, Hang, Shalyminov, Igor, Pappas, Nikolaos, Singh, Siffi, Mansour, Saab

“…Development of multimodal interactive systems is hindered by the lack of rich, multimodal (text, images) conversational data, which is needed in large…”
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COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images by Aboutalebi, Hossein, Abbasi, Saad, Shafiee, Mohammad Javad, Wong, Alexander

“…The health and socioeconomic difficulties caused by the COVID-19 pandemic continues to cause enormous tensions around the world. In particular, this…”
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Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards by Amin, Susan, Gomrokchi, Maziar, Aboutalebi, Hossein, Satija, Harsh, Precup, Doina

“…A major challenge in reinforcement learning is the design of exploration strategies, especially for environments with sparse reward structures and continuous…”
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Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials by Aboutalebi, Hossein, Precup, Doina, Schuster, Tibor

“…The stochastic multi-armed bandit problem is a well-known model for studying the exploration-exploitation trade-off. It has significant possible applications…”
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COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics by Pavlova, Maya, Tuinstra, Tia, Aboutalebi, Hossein, Zhao, Andy, Gunraj, Hayden, Wong, Alexander

“…After more than two years since the beginning of the COVID-19 pandemic, the pressure of this crisis continues to devastate globally. The use of chest X-ray…”
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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 by Aboutalebi, Hossein, Pavlova, Maya, Shafiee, Mohammad Javad, Florea, Adrian, Hryniowski, Andrew, Wong, Alexander

“…Since the World Health Organization declared COVID-19 a pandemic in 2020, the global community has faced ongoing challenges in controlling and mitigating the…”
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MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis by Aboutalebi, Hossein, Pavlova, Maya, Gunraj, Hayden, Shafiee, Mohammad Javad, Sabri, Ali, Alaref, Amer, Wong, Alexander

“…Medical image analysis continues to hold interesting challenges given the subtle characteristics of certain diseases and the significant overlap in appearance…”
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Residual Error: a New Performance Measure for Adversarial Robustness by Aboutalebi, Hossein, Shafiee, Mohammad Javad, Karg, Michelle, Scharfenberger, Christian, Wong, Alexander

“…Despite the significant advances in deep learning over the past decade, a major challenge that limits the wide-spread adoption of deep learning has been their…”
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COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images by Aboutalebi, Hossein, Pavlova, Maya, Shafiee, Mohammad Javad, Sabri, Ali, Alaref, Amer, Wong, Alexander

“…The world is still struggling in controlling and containing the spread of the COVID-19 pandemic caused by the SARS-CoV-2 virus. The medical conditions…”
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Vulnerability Under Adversarial Machine Learning: Bias or Variance? by Aboutalebi, Hossein, Shafiee, Mohammad Javad, Karg, Michelle, Scharfenberger, Christian, Wong, Alexander

“…Prior studies have unveiled the vulnerability of the deep neural networks in the context of adversarial machine learning, leading to great recent attention…”
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