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ALEXANDER WONG
Author Info
Open Visualization
Name
Affiliation
Papers
ALEXANDER WONG
Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
181
Collaborators
Citations
PageRank
240
351
69.61
Referers
Referees
References
975
2733
1482
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100
1000
Publications (100 rows)
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Referees (100 rows)
Title
Citations
PageRank
Year
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images
0
0.34
2022
MAPLE: Microprocessor A Priori for Latency Estimation
0
0.34
2022
M2A: Motion Aware Attention for Accurate Video Action Recognition
0
0.34
2022
A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation
0
0.34
2022
FenceNet: Fine-grained Footwork Recognition in Fencing
0
0.34
2022
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement
0
0.34
2021
Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field
0
0.34
2021
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images
0
0.34
2021
MANet: a Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions
0
0.34
2021
Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons
0
0.34
2021
AI-enabled remote and objective quantification of stress at scale
0
0.34
2020
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing.
0
0.34
2020
Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning
0
0.34
2020
Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses
1
0.36
2020
SANE - Exploring Adversarial Robustness With Stochastically Activated Network Ensembles.
0
0.34
2019
Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift.
0
0.34
2019
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning.
0
0.34
2019
Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration.
0
0.34
2019
Estimation Of Iron Concentration In Soil Of A Mining Area From Uav-Based Hyperspectral Imagery
0
0.34
2019
Triresnet: A Deep Triple-Stream Residual Network For Histopathology Grading
0
0.34
2019
Investigating The Automatic Classification Of Algae Using The Spectral And Morphological Characteristics Via Deep Residual Learning
1
0.37
2019
Assessing Architectural Similarity in Populations of Deep Neural Networks
0
0.34
2019
Unsupervised Deep Shape From Template
0
0.34
2019
Towards Computer Vision Powered Color-Nutrient Assessment of Puréed Food
0
0.34
2019
Choosing Agile or Plan-driven Enterprise Resource Planning (ERP) Implementations - A study on 21 Implementations from 20 Companies.
0
0.34
2019
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks.
0
0.34
2019
Democratisation of Usable Machine Learning in Computer Vision.
0
0.34
2019
Go1fDB: A Video Database for Golf Swing Sequencing
0
0.34
2019
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection
1
0.34
2019
VOICED: Depth Completion from Inertial Odometry and Vision.
1
0.35
2019
Compensated Row-Column Ultrasound Imaging Systems With Data-Driven Point Spread Function Learning
0
0.34
2019
muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification.
0
0.34
2018
Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection
8
0.45
2018
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections.
0
0.34
2018
Deep Learning-Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns
0
0.34
2018
Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field.
0
0.34
2018
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks.
7
0.49
2018
PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations.
0
0.34
2018
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection.
0
0.34
2018
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition.
0
0.34
2018
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks.
0
0.34
2018
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions.
0
0.34
2017
Soccer Video Structure Analysis by Parallel Feature Fusion Network and Hidden-to-Observable Transferring Markov Model.
3
0.39
2017
A new take on measuring nutritional density: The feasibility of using a deep neural network to assess commercially-prepared puree concentrations.
0
0.34
2017
Segmentation Of Prostate In Diffusion Mr Images Via Clustering
0
0.34
2017
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks.
5
0.44
2017
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks.
2
0.41
2017
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection.
0
0.34
2017
Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction.
1
0.35
2017
Discovery Radiomics Via A Mixture Of Deep Convnet Sequencers For Multi-Parametric Mri Prostate Cancer Classification
1
0.35
2017
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