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OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection


Mar 31, 2021
Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong

* 6 pages 

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COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics


Mar 18, 2021
Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong

* 12 pages, 5 figures, to be submitted to Nature Scientific Data 

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Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images


Mar 06, 2021
Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch

* 10 pages 

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COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning


Jan 26, 2021
Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong

* 15 pages 

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A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning


Dec 25, 2020
Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong


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Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics


Dec 07, 2020
Andrew Hryniowski, Alexander Wong

* 6 pages 

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FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints


Nov 30, 2020
Stone Yun, Alexander Wong

* Accepted for Publication at the 2020 Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2 2020) 

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Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks


Nov 30, 2020
Stone Yun, Alexander Wong

* Accepted for publication at the 6th Annual Conference on Computer Vision and Intelligent Systems (CVIS2020) 

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CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images


Nov 21, 2020
James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong

* 8 pages 

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EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution


Nov 17, 2020
William McNally, Kanav Vats, Alexander Wong, John McPhee


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Identifying and interpreting tuning dimensions in deep networks


Nov 05, 2020
Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor

* 14 pages, 12 figures, Shared Visual Representations in Human & Machine Intelligence NeurIPS Workshop 2020 

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Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning


Nov 03, 2020
Alexander Wong, Andrew Hryniowski, Xiao Yu Wang

* 9 pages 

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AEGIS: A real-time multimodal augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder


Oct 22, 2020
James Ren Hou Lee, Alexander Wong

* 4 pages, 1 figure 

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Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data


Oct 15, 2020
George Michalopoulos, Helen Chen, Alexander Wong

* 12 pages, 4 figures, to be published in The 3rd Clinical Natural Language Processing Workshop 

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Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities


Sep 30, 2020
Andrew Hryniowski, Xiao Yu Wang, Alexander Wong

* 5 pages 

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AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers


Sep 30, 2020
Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee

* 9 pages 

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How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks


Sep 20, 2020
Alexander Wong, Xiao Yu Wang, Andrew Hryniowski

* 13 pages 

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COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images


Sep 08, 2020
Hayden Gunraj, Linda Wang, Alexander Wong

* 12 pages 

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TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices


Aug 23, 2020
Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana

* 9 pages 

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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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Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing


Jul 22, 2020
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong


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Quantization in Relative Gradient Angle Domain For Building Polygon Estimation


Jul 10, 2020
Yuhao Chen, Yifan Wu, Linlin Xu, Alexander Wong


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EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition


Jun 29, 2020
James Ren Hou Lee, Linda Wang, Alexander Wong

* 9 pages 

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Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity


May 27, 2020
Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong

* 7 pages 

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DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation


Apr 17, 2020
Linda Wang, Mahmoud Famouri, Alexander Wong

* 9 pages 

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