| On the validity of Bayesian neural networks for uncertainty estimation J Mitros, B Mac Namee arXiv preprint arXiv:1912.01530, 2019 | 31 | 2019 |
| Content-based image retrieval tutorial J Mitro arXiv preprint arXiv:1608.03811, 2016 | 14 | 2016 |
| Denoising dictionary learning against adversarial perturbations J Mitro, D Bridge, S Prestwich Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 5 | 2018 |
| On the Importance of Regularisation and Auxiliary Information in OOD Detection J Mitros, B Mac Namee International Conference on Neural Information Processing, 361-368, 2021 | 2 | 2021 |
| Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings J Mitros, A Pakrashi, BM Namee Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 2 | 2020 |
| A Categorisation of post-hoc explanations for predictive models J Mitros, B Mac Namee arXiv preprint arXiv:1904.02495, 2019 | 2 | 2019 |
| A Comparison of Bayesian Deep Learning for Out of Distribution Detection and Uncertainty Estimation J Mitros, A Pakrashi, B Mac Namee International Conference of Machine Learning Workshops,(ICML) 119, 2020 | 1 | 2020 |
| Bayesian Neural Networks for Out-of-Distribution Detection J Mitros https://researchrepository.ucd.ie/handle/10197/13034, 2022 | | 2022 |
| A Comparison of Bayesian Deep Learning for Out of Distribution Detection and Uncertainty Estimation B MacNamee, A Pakrashi, JI Mitros | | 2020 |
| Discovering Latent Factors in Lyrics of Greek Folk Songs [In Greek] J Mitros https://jmitros.github.io/assets/pdf/MSc.pdf, 2014 | | 2014 |
Brian Mac NameeUniversity College DublinDirección de correo verificada de ucd.ie
