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2020 – today
- 2024
[i11]Maya Pavlova, Erik Brinkman, Krithika Iyer, Vitor Albiero, Joanna Bitton, Hailey Nguyen, Joe Li, Cristian Canton-Ferrer, Ivan Evtimov, Aaron Grattafiori:
Automated Red Teaming with GOAT: the Generative Offensive Agent Tester. CoRR abs/2410.01606 (2024)- 2022
- [j1]James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong:
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images. BMC Medical Imaging 22(1): 143 (2022) - [c3]Joanna Bitton, Maya Pavlova, Ivan Evtimov:
Adversarial Text Normalization. NAACL-HLT (Industry Papers) 2022: 268-279 - [i10]Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong:
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. CoRR abs/2204.11210 (2022) - [i9]Maya Pavlova, Tia Tuinstra, Hossein Aboutalebi, Andy Zhao, Hayden Gunraj
, Alexander Wong:
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. CoRR abs/2206.03671 (2022) - [i8]Joanna Bitton, Maya Pavlova, Ivan Evtimov:
Adversarial Text Normalization. CoRR abs/2206.04137 (2022) - 2021
- [c2]Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong:
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CCECE 2021: 1-5 - [c1]Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong:
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging. DART/FAIR@MICCAI 2021: 191-202 - [i7]Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong:
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. CoRR abs/2105.00256 (2021) - [i6]Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong:
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. CoRR abs/2105.06640 (2021) - [i5]Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong:
COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging. CoRR abs/2108.03131 (2021) - [i4]Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong:
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CoRR abs/2109.06421 (2021) - [i3]Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong:
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. CoRR abs/2110.06063 (2021) - 2020
- [i2]Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana:
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices. CoRR abs/2008.04245 (2020) - [i1]James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong:
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images. CoRR abs/2011.10702 (2020)
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