Andrew Hryniowski

According to our database1, Andrew Hryniowski authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing.
CoRR, 2023

Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
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

2021
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification.
CoRR, 2021

AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge.
CoRR, 2021

2020
Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics.
CoRR, 2020

Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning.
CoRR, 2020

Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities.
CoRR, 2020

How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks.
CoRR, 2020

2019
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions.
CoRR, 2019

State of Compact Architecture Search For Deep Neural Networks.
CoRR, 2019

Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks.
CoRR, 2019

2018
PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations.
CoRR, 2018

Multi-projector Resolution Enhancement Through Biased Interpolation.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018


  Loading...