Alexander Wong

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 421

Top Venues

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Hossein Aboutalebi, Mohammad Javad Shafiee, Chi-En Amy Tai, Alexander Wong
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. IEEE Access 12 (2024)
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Understanding the Limitations of Diffusion Concept Algebra Through Food. CoRR (2024)
Aaryam Sharma, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong
How Much You Ate? Food Portion Estimation on Spoons. CoRR (2024)
Neel Patel, Alexander Wong, Ashkan Ebadi
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks. CoRR (2024)
Chi-En Amy Tai, Alexander Wong
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction. CoRR (2024)
Chi-En Amy Tai, Alexander Wong
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer. CoRR (2024)
Parthipan Siva, Alexander Wong, Patricia Hewston, George Ioannidis, Jonathan Adachi, Alexander Rabinovich, Andrea Lee, Alexandra Papaioannou
Automatic Radar-Based Step Length Measurement in the Home for Older Adults Living with Frailty. Sensors 24 (4) (2024)
Blake VanBerlo, Jesse Hoey, Alexander Wong
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound. BMC Medical Imaging 24 (1) (2024)
E. Zhixuan Zeng, Ashkan Ebadi, Adrian Florea, Alexander Wong
COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring. Sensors 24 (5) (2024)
Akil Pathiranage, Chris Czarnecki, Yuhao Chen, Pengcheng Xi, Linlin Xu, Alexander Wong
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls. CoRR (2024)
Salman Khan, Alexander Wong, Bryan P. Tripp
Modeling the Role of Contour Integration in Visual Inference. Neural Comput. 36 (1) (2024)
Matthew Keller, Chi-En Amy Tai, Yuhao Chen, Pengcheng Xi, Alexander Wong
NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images. CoRR (2024)
Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward J. Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. CoRR (2024)
Chi-En Amy Tai, Alexander Wong
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging. CoRR (2024)
Dening Lu, Shimon Schwartz, Linlin Xu, Mohammad Javad Shafiee, Norman G. Vinson, Krzysztof J. Czarnecki, Alexander Wong
Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. Expert Syst. Appl. 252 (2024)
Blake VanBerlo, Alexander Wong, Jesse Hoey, Robert Arntfield
Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound. CoRR (2024)
Parthipan Siva, Alexander Wong, Patricia Hewston, George Ioannidis, Jonathan Adachi, Alexander Rabinovich, Andrea Lee, Alexandra Papaioannou
Step length measurement in the wild using FMCW radar. CoRR (2024)
Bavesh Balaji, Jerrin Bright, Sirisha Rambhatla, Yuhao Chen, Alexander Wong, John S. Zelek, David A. Clausi
Domain-Guided Masked Autoencoders for Unique Player Identification. CoRR (2024)
Maximilian Gilles, Yuhao Chen, E. Zhixuan Zeng, Yifan Wu, Kai Furmans, Alexander Wong, Rania Rayyes
MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Chi-En Amy Tai, Saeejith Nair, Olivia Markham, Matthew Keller, Yifan Wu, Yuhao Chen, Alexander Wong
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation. CoRR (2024)
Dayou Mao, Yuhao Chen, Yifan Wu, Maximilian Gilles, Alexander Wong
Robust Analysis of Multi-Task Learning on a Complex Vision System. CoRR (2024)
Chi-En Amy Tai, Alexander Wong
Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation. CoRR (2024)
Bo Zhang, Anand Vasani, Ashutosh Sinha, Alireza Nilchi, Haitao Tong, Lakshmi P. Rao, Karapet Khanoyan, Hamid Hatamkhani, Xiaochen Yang, Xin Meng, Alexander Wong, Jun Kim, Ping Jing, Yehui Sun, Ali Nazemi, Dean Liu, Anthony Brewster, Jun Cao, Afshin Momtaz
A 112-Gb/s Serial Link Transceiver With Three-Tap FFE and 18-Tap DFE Receiver for up to 43-dB Insertion Loss Channel in 7-nm FinFET Technology. IEEE J. Solid State Circuits 59 (1) (2024)
Blake VanBerlo, Brian Li, Jesse Hoey, Alexander Wong
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks. CoRR (2023)
Chi-En Amy Tai, Jason Li, Sriram Kumar, Saeejith Nair, Yuhao Chen, Pengcheng Xi, Alexander Wong
NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models. CoRR (2023)
Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi
Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. Sensors 23 (19) (2023)
Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy. CVPR Workshops (2023)
Brian Li, Steven Palayew, Francis Li, Saad Abbasi, Saeejith Nair, Alexander Wong
PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge. CoRR (2023)
Stone Yun, Alexander Wong
GHN-QAT: Training Graph Hypernetworks to Predict Quantization-Robust Parameters of Unseen Limited Precision Neural Networks. CoRR (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images. CoRR (2023)
Aditya Sridhar, Chi-En Amy Tai, Hayden Gunraj, Yuhao Chen, Alexander Wong
Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion. CoRR (2023)
Blake VanBerlo, Brian Li, Alexander Wong, Jesse Hoey, Robert Arntfield
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound. CVPR Workshops (2023)
Yifan Wu, Hayden Gunraj, Chi-En Amy Tai, Alexander Wong
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics. CoRR (2023)
Yuan Fang, Yuxian Wang, Linlin Xu, Yujia Chen, Alexander Wong, David A. Clausi
Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Hayden Gunraj, Chi-En Amy Tai, Alexander Wong
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. CoRR (2023)
Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather H. Keller, Sharon Kirkpatrick, Alexander Wong
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. CoRR (2023)
Ehsan Zare Bidaki, Alexander Wong, Paul Murphy
A Novel System for Ocular Surface Temperature Measurement and Tracking. IEEE Access 11 (2023)
Hajar Abedi, Ahmad Ansariyan, Plinio P. Morita, Alexander Wong, Jennifer Boger, George Shaker
AI-Powered Noncontact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing. IEEE Internet Things J. 10 (11) (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors 23 (5) (2023)
Blake VanBerlo, Brian Li, Alexander Wong, Jesse Hoey, Robert Arntfield
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound. CoRR (2023)
Chi-En Amy Tai, Hayden Gunraj, Nedim Hodzic, Nic Flanagan, Ali Sabri, Alexander Wong
Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging. AMAI@MICCAI (2023)
E. Zhixuan Zeng, Hayden Gunraj, Sheldon Fernandez, Alexander Wong
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability. CoRR (2023)
Blake VanBerlo, Brian Li, Jesse Hoey, Alexander Wong
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks. IEEE Access 11 (2023)
Olivia Markham, Yuhao Chen, Chi-En Amy Tai, Alexander Wong
FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation. CoRR (2023)
Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee, Alexander Wong
NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields. CoRR (2023)
Joey Kuang, Alexander Wong
On Calibration of Modern Quantized Efficient Neural Networks. CoRR (2023)
Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. AAAI (2023)
Hajar Abedi, Jennifer Boger, Plinio Pelegrini Morita, Alexander Wong, George Shaker
Hallway Gait Monitoring System Using an In-Package Integrated Dielectric Lens Paired with a mm-Wave Radar. Sensors 23 (1) (2023)
Kevin Zhu, Alexander Wong, John McPhee
VICE: View-Invariant Chess Estimation. icSPORTS (2023)
Bo Zhang, Anand Vasani, Ashutosh Sinha, Alireza Nilchi, Haitao Tong, Lakshmi P. Rao, Karapet Khanoyan, Hamid Hatamkhani, Xiaochen Yang, Xin Meng, Alexander Wong, Jun Kim, Ping Jing, Yehui Sun, Ali Nazemi, Dean Liu, Anthony Brewster, Jun Cao, Afshin Momtaz
A 112Gb/s Serial Link Transceiver With 3-tap FFE and 18-tap DFE Receiver for up to 43dB Insertion Loss Channel in 7nm FinFET Technology. ISSCC (2023)
Alexander Wong, Saad Abbasi, Saeejith Nair
TurboViT: Generating Fast Vision Transformers via Generative Architecture Search. CoRR (2023)
Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CVPR Workshops (2023)
Saeejith Nair, Chi-En Amy Tai, Yuhao Chen, Alexander Wong
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation. CoRR (2023)
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping. CoRR (2023)
Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CoRR (2023)
Chi-En Amy Tai, Elizabeth Janes, Chris Czarnecki, Alexander Wong
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images. CoRR (2023)
Vignesh Sivan, Teodora Vujovic, Raj Ranabhat, Alexander Wong, Stewart McLachlin, Michael R. Hardisty
Recurrence With Correlation Network for Medical Image Registration. CoRR (2023)
Chi-En Amy Tai, Hayden Gunraj, Alexander Wong
Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. CoRR (2023)
Chi-En Amy Tai, Matthew Keller, Mattie Kerrigan, Yuhao Chen, Saeejith Nair, Pengcheng Xi, Alexander Wong
NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation. CoRR (2023)
Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather H. Keller, Sharon Kirkpatrick, Alexander Wong
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. MADiMa@MM (2023)
Blake VanBerlo, Jesse Hoey, Alexander Wong
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images. CoRR (2023)
Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence. CoRR (2023)
Andrew Hryniowski, Alexander Wong
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis. CVPR Workshops (2023)
Karen Zita Haigh, Alexander Wong, Yuhao Chen
Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2023). AI Mag. 44 (4) (2023)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. AAAI (2023)
Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. IEEE Access 11 (2023)
Marjan Shahi, David A. Clausi, Alexander Wong
GoalieNet: A Multi-Stage Network for Joint Goalie, Equipment, and Net Pose Estimation in Ice Hockey. CoRR (2023)
Grant Sinha, Krish Parmar, Hilda Azimi, Chi-En Amy Tai, Yuhao Chen, Alexander Wong, Pengcheng Xi
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions. CoRR (2023)
Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
SolderNet: Towards trustworthy visual inspection of solder joints in electronics manufacturing using explainable artificial intelligence. AI Mag. 44 (4) (2023)
Andrew Hryniowski, Alexander Wong
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis. CoRR (2023)
Audrey G. Chung, Francis Li, Jeremy Ward, Andrew Hryniowski, Alexander Wong
DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing. CoRR (2023)
Chi-En Amy Tai, Hayden Gunraj, Alexander Wong
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. CoRR (2023)
Hossein Aboutalebi, Daniel Mao, Carol Xu, Alexander Wong
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection. CoRR (2023)
Xuenan Liu, Xuezhi Yang, Dingliang Wang, Alexander Wong, Likun Ma, Longwei Li
VidAF: A Motion-Robust Model for Atrial Fibrillation Screening From Facial Videos. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Mohammad Amin Soltani-Sarvestani, Zohreh Azimifar, Alexander Wong
Variable Centrality: A scenario based centrality calculation method. J. Comput. Sci. 62 (2022)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection. CoRR (2022)
Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge. CoRR (2022)
Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. CoRR (2022)
Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis. CASE (2022)
Stone Yun, Alexander Wong
GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks. CoRR (2022)
Pengyuan Shi, Yuetong Wang, Saad Abbasi, Alexander Wong
COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation. CoRR (2022)
Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CoRR (2022)
William J. McNally, Kanav Vats, Alexander Wong, John McPhee
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-person Human Pose Estimation. ECCV (6) (2022)
George Michalopoulos, Michal Malyska, Nicola Sahar, Alexander Wong, Helen H. Chen
ICDBigBird: A Contextual Embedding Model for ICD Code Classification. CoRR (2022)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CRV (2022)
Kevin Zhu, Alexander Wong, John McPhee
FenceNet: Fine-grained Footwork Recognition in Fencing. CVPR Workshops (2022)
Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification. CoRR (2022)
George Michalopoulos, Ian McKillop, Alexander Wong, Helen H. Chen
LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution. ACL (1) (2022)
Hajar Abedi, Ahmad Ansariyan, Christopher Lehman, Plinio P. Morita, Jennifer Boger, Alexander Wong, George Shaker
Non-Visual and Contactless Wellness Monitoring for Long Term Care Facilities Using mm-Wave Radar Sensors. IEEE SENSORS (2022)
Yuan Fang, Yuxian Wang, Linlin Xu, Rongming Zhuo, Alexander Wong, David A. Clausi
BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Hilda Azimi, Ashkan Ebadi, Jessy Song, Pengcheng Xi, Alexander Wong
COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos. CoRR (2022)
Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. CoRR (2022)
E. Zhixuan Zeng, Adrian Florea, Alexander Wong
COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learning. CoRR (2022)
Alexander Wong, James Ren Hou Lee, Hadi Rahmat-Khah, Ali Sabri, Amer Alaref, Haiyue Liu
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images. Frontiers Artif. Intell. 5 (2022)
George Michalopoulos, Michal Malyska, Nicola Sahar, Alexander Wong, Helen H. Chen
ICDBigBird: A Contextual Embedding Model for ICD Code Classification. BioNLP@ACL (2022)
Yuan Fang, Linlin Xu, Yuhao Chen, Wei Zhou, Alexander Wong, David A. Clausi
A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
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 (2022)
Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. CoRR (2022)
Chi-En Amy Tai, Nedim Hodzic, Nic Flanagan, Hayden Gunraj, Alexander Wong
Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. CoRR (2022)
Robbie Meyer, Alexander Wong
A Fair Loss Function for Network Pruning. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Wong