| Pseudo-labeling and confirmation bias in deep semi-supervised learning E Arazo, D Ortego, P Albert, NE O’Connor, K McGuinness International Joint Conference on Neural Networks (IJCNN), 2020 | 962 | 2020 |
| Unsupervised label noise modeling and loss correction E Arazo, D Ortego, P Albert, NE O'Connor, K McGuinness International Conference on Machine Learning, 2019 | 694 | 2019 |
| Multi-Objective Interpolation Training for Robustness to Label Noise D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2020 | 124 | 2020 |
| Towards Robust Learning with Different Label Noise Distributions D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness International Conference on Pattern Recognition (ICPR), 2019 | 33 | 2019 |
| Addressing out-of-distribution label noise in webly-labelled data P Albert, D Ortego, E Arazo, N O'Connor, K McGuinness Winter Conference on Applications of Computer Vision (WACV), 2022 | 21 | 2022 |
| Is your noise correction noisy? PLS: Robustness to label noise with two stage detection P Albert, E Arazo, T Kirshna, NE O'Connor, K McGuinness IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 118-127, 2023 | 10 | 2023 |
| ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning P Albert, D Ortego, E Arazo, NE O'Connor, K McGuinness International Joint Conference on Neural Networks (IJCNN), 2021 | 10 | 2021 |
| Embedding contrastive unsupervised features to cluster in-and out-of-distribution noise in corrupted image datasets P Albert, E Arazo, NE O’Connor, K McGuinness European Conference on Computer Vision (ECCV), 2022 | 9 | 2022 |
| Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video E Arazo, R Aly, K McGuinness Conference on Computer Vision and Pattern Recognition workshops (CVPRw), 2022 | 9 | 2022 |
| How Important is Importance Sampling for Deep Budgeted Training? E Arazo, D Ortego, P Albert, N O'Connor, K McGuinness British Machine Vision Conference (BMVC) 2021, 2021 | 7 | 2021 |
| ConvLoRA and AdaBN based Domain Adaptation via Self-Training S Aleem, J Dietlmeier, E Arazo, S Little arXiv preprint arXiv:2402.04964, 2024 | 5 | 2024 |
| The impact of visual saliency prediction in image classification EA Sánchez Universitat Politècnica de Catalunya. Escola Tècnica Superior d'Enginyeria …, 2017 | 5 | 2017 |
| Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts C Garcia-Cabrera, E Arazo, KM Curran, NE O'Connor, K McGuinness Statistical Atlases and Computational Models of the Heart. Regular and …, 2023 | 3 | 2023 |
| Joint one‐sided synthetic unpaired image translation and segmentation for colorectal cancer prevention E Moreu, E Arazo, K McGuinness, NE O'Connor Expert Systems, 2022 | 3 | 2022 |
| Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data S Yan, S Zhu, JB Fernandez, EA Sánchez, Y Gu, NE O'Connor, ... arXiv preprint arXiv:2307.15401, 2023 | 2 | 2023 |
| Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions AF Smeaton, Y Graham, K McGuinness, NE O’Connor, S Quinn, ... International Conference on Multimedia Modeling, 178-190, 2019 | 2 | 2019 |
| Improving unsupervised learning with exemplarCNNs E Arazo, NE O'Connor, K McGuinness Irish Pattern Recognition and Classication Society, 2019 | 2 | 2019 |
| Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation S Aleem, F Wang, M Maniparambil, E Arazo, J Dietlmeier, K Curran, ... arXiv preprint arXiv:2404.06362, 2024 | 1 | 2024 |
| Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data E Moreu, E Arazo, K McGuinness, NE O'Connor 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023 | 1 | 2023 |
| On guiding video object segmentation D Ortego, K McGuinness, JC SanMiguel, E Arazo, JM Martínez, ... 2019 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2019 | 1 | 2019 |
Noel E. O'ConnorCEO, Insight Centre for Data Analytics, Dublin City UniversityVerified email at dcu.ie
