Author Info
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
Search Limit
1001000
Title
Citations
PageRank
Year
Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images00.342022
MAPLE: Microprocessor A Priori for Latency Estimation00.342022
M2A: Motion Aware Attention for Accurate Video Action Recognition00.342022
A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation00.342022
FenceNet: Fine-grained Footwork Recognition in Fencing00.342022
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement00.342021
Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field00.342021
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images00.342021
MANet: a Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions00.342021
Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons00.342021
AI-enabled remote and objective quantification of stress at scale00.342020
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing.00.342020
Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning00.342020
Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses10.362020
SANE - Exploring Adversarial Robustness With Stochastically Activated Network Ensembles.00.342019
Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift.00.342019
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning.00.342019
Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration.00.342019
Estimation Of Iron Concentration In Soil Of A Mining Area From Uav-Based Hyperspectral Imagery00.342019
Triresnet: A Deep Triple-Stream Residual Network For Histopathology Grading00.342019
Investigating The Automatic Classification Of Algae Using The Spectral And Morphological Characteristics Via Deep Residual Learning10.372019
Assessing Architectural Similarity in Populations of Deep Neural Networks00.342019
Unsupervised Deep Shape From Template00.342019
Towards Computer Vision Powered Color-Nutrient Assessment of Puréed Food00.342019
Choosing Agile or Plan-driven Enterprise Resource Planning (ERP) Implementations - A study on 21 Implementations from 20 Companies.00.342019
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks.00.342019
Democratisation of Usable Machine Learning in Computer Vision.00.342019
Go1fDB: A Video Database for Golf Swing Sequencing00.342019
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection10.342019
VOICED: Depth Completion from Inertial Odometry and Vision.10.352019
Compensated Row-Column Ultrasound Imaging Systems With Data-Driven Point Spread Function Learning00.342019
muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification.00.342018
Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection80.452018
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections.00.342018
Deep Learning-Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns00.342018
Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field.00.342018
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks.70.492018
PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations.00.342018
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection.00.342018
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition.00.342018
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks.00.342018
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions.00.342017
Soccer Video Structure Analysis by Parallel Feature Fusion Network and Hidden-to-Observable Transferring Markov Model.30.392017
A new take on measuring nutritional density: The feasibility of using a deep neural network to assess commercially-prepared puree concentrations.00.342017
Segmentation Of Prostate In Diffusion Mr Images Via Clustering00.342017
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks.50.442017
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks.20.412017
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection.00.342017
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.10.352017
Discovery Radiomics Via A Mixture Of Deep Convnet Sequencers For Multi-Parametric Mri Prostate Cancer Classification10.352017
  • 1
  • 2
  • 50 / page