Improving reconstruction autoencoder out-of-distribution detection with mahalanobis distance T Denouden, R Salay, K Czarnecki, V Abdelzad, B Phan, S Vernekar arXiv preprint arXiv:1812.02765, 2018 | 126 | 2018 |
Out-of-distribution Detection in Classifiers via Generation S Vernekar, A Gaurav, V Abdelzad, T Denouden, R Salay, K Czarnecki NeurIPS 2019, Safety and Robustness in Decision Making Workshop, 2019 | 90 | 2019 |
BikeMaps. org: a global tool for collision and near miss mapping TA Nelson, T Denouden, B Jestico, K Laberee, M Winters Frontiers in public health 3, 137480, 2015 | 90 | 2015 |
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output V Abdelzad, K Czarnecki, R Salay, T Denouden, S Vernekar, B Phan arXiv preprint arXiv:1910.10307, 2019 | 47 | 2019 |
Calibrating uncertainties in object localization task B Phan, R Salay, K Czarnecki, V Abdelzad, T Denouden, S Vernekar NeurIPS 2018 Bayesian Deep Learning Workshop, 2018 | 26 | 2018 |
Analysis of Confident-Classifiers for Out-of-distribution Detection S Vernekar, A Gaurav, T Denouden, B Phan, V Abdelzad, R Salay, ... ICLR SafeML Workshop 2019, 2019 | 23 | 2019 |
An application of out-of-distribution detection for two-stage object detection networks T Denouden University of Waterloo, 2020 | 3 | 2020 |
Org: A global tool for collision and near miss mapping. Front TA Nelson, T Denouden, B Jestico, K Laberee, MBM Winters Public Health 3, 53, 2015 | 3 | 2015 |
Out-of-distribution detection in classifiers via generation.(2019) S Vernekar, A Gaurav, V Abdelzad, T Denouden, R Salay, K Czarnecki arXiv preprint arXiv:1910.04241, 2019 | 2 | 2019 |
Bridging the gap between airborne and spaceborne imaging spectroscopy for mountain glacier surface property retrievals CP Donahue, B Menounos, N Viner, SMK Skiles, S Beffort, T Denouden, ... Remote Sensing of Environment 299, 113849, 2023 | 1 | 2023 |
Improving Confident-Classifiers For Out-of-distribution Detection S Vernekar, A Gaurav, V Abdelzad, T Denouden, R Salay, K Czarnecki | | 2019 |
A protocol to map eelgrass extent for rapid blue carbon assessment D Torio, L Reshitnyk, T Denouden, W McInnes, M Hessing-Lewis, ... 24th Biennial CERF Conference, 2017 | | 2017 |
The Kelp-O-Matic: A Novel Artificial Intelligence Convolutional Neural Network Fully Automates the Detection of Canopy-Forming Kelp Species (Macrocystis Pyrifera and … LY Reshitnyk, TA Denouden, KR Holmes Available at SSRN 4838692, 0 | | |