| How much can we really trust you? towards simple, interpretable trust quantification metrics for deep neural networks A Wong, XY Wang, A Hryniowski arXiv preprint arXiv:2009.05835, 2020 | 28 | 2020 |
| Where does trust break down? A quantitative trust analysis of deep neural networks via trust matrix and conditional trust densities A Hryniowski, XY Wang, A Wong arXiv preprint arXiv:2009.14701, 2020 | 15 | 2020 |
| Deeplabnet: End-to-end learning of deep radial basis networks with fully learnable basis functions A Hryniowski, A Wong arXiv preprint arXiv:1911.09257, 2019 | 13 | 2019 |
| Attendseg: A tiny attention condenser neural network for semantic segmentation on the edge X Wen, M Famouri, A Hryniowski, A Wong arXiv preprint arXiv:2104.14623, 2021 | 8 | 2021 |
| Insights into fairness through trust: Multi-scale trust quantification for financial deep learning A Wong, A Hryniowski, XY Wang arXiv preprint arXiv:2011.01961, 2020 | 8 | 2020 |
| How much can we really trust you A Wong, XY Wang, A Hryniowski Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural …, 2020 | 8 | 2020 |
| DeepLABNet: End-to-end learning of deep radial basis networks A Hryniowski, A Wong Journal of Computational Vision and Imaging Systems 5 (1), 1-1, 2019 | 6 | 2019 |
| COVID-net clinical ICU: Enhanced prediction of ICU admission for COVID-19 patients via explainability and trust quantification A Chung, M Famouri, A Hryniowski, A Wong arXiv preprint arXiv:2109.06711, 2021 | 5 | 2021 |
| Inter-layer information similarity assessment of deep neural networks via topological similarity and persistence analysis of data neighbour dynamics A Hryniowski, A Wong arXiv preprint arXiv:2012.03793, 2020 | 5 | 2020 |
| DeepLABNet: End-to-end learning of deep radial basis networks with fully learnable basis functions. arXiv 2019 A Hryniowski, A Wong arXiv preprint arXiv:1911.09257, 0 | 5 | |
| 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 … H Aboutalebi, M Pavlova, MJ Shafiee, A Florea, A Hryniowski, A Wong Scientific Reports 13 (1), 17001, 2023 | 4 | 2023 |
| Multi-projector resolution enhancement through biased interpolation A Hryniowski, IB Daya, A Gawish, M Lamm, A Wong, P Fieguth 2018 15th Conference on Computer and Robot Vision (CRV), 190-197, 2018 | 3 | 2018 |
| A Content Enhancement Framework for Multi-Projector Systems A Hryniowski University of Waterloo, 2018 | 2 | 2018 |
| State of compact architecture search for deep neural networks MJ Shafiee, A Hryniowski, F Li, ZQ Lin, A Wong arXiv preprint arXiv:1910.06466, 2019 | 1 | 2019 |
| State of Compact Architecture Search For Deep Neural Networks M Javad Shafiee, A Hryniowski, F Li, Z Qiu Lin, A Wong arXiv e-prints, arXiv: 1910.06466, 2019 | 1 | 2019 |
| Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks A Hryniowski, A Wong arXiv preprint arXiv:1905.10901, 2019 | 1 | 2019 |
| Polyneuron: Automatic neuron discovery via learned polyharmonic spline activations A Hryniowski, A Wong arXiv preprint arXiv:1811.04303, 2018 | 1 | 2018 |
| A Representational Response Analysis Framework For Convolutional Neural Networks A Hryniowski University of Waterloo, 2024 | | 2024 |
| DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing A Chung, F Li, J Ward, A Hryniowski, A Wong arXiv preprint arXiv:2312.09232, 2023 | | 2023 |
| Hossein Aboutalebi, Maya Pavlova 2, Mohammad Javad Shafiee 2, 3, 4, Adrian Florea 5 A Hryniowski, A Wong Scientific Reports 13, 17001, 2023 | | 2023 |
