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Eric Arazo Sánchez
Eric Arazo Sánchez
CeADAR: Ireland’s Centre for Applied Artificial Intelligence
Verified email at ucd.ie - Homepage
Title
Cited by
Cited by
Year
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
13552020
Unsupervised label noise modeling and loss correction
E Arazo, D Ortego, P Albert, NE O'Connor, K McGuinness
International Conference on Machine Learning, 2019
8732019
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
1902020
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
502024
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
352022
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
342019
ConvLoRA and AdaBN based Domain Adaptation via Self-Training
S Aleem, J Dietlmeier, E Arazo, S Little
arXiv preprint arXiv:2402.04964, 2024
292024
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
242023
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
132022
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
132022
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
122021
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
92022
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
82021
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
72023
: A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models
E Arazo, H Stoev, C Bosch, AL Suárez-Cetrulo, R Simón-Carbajo
World Conference on Explainable Artificial Intelligence, 370-382, 2024
52024
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
52023
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
52023
The impact of visual saliency prediction in image classification
EA Sánchez
Universitat Politècnica de Catalunya. Escola Tècnica Superior d'Enginyeria …, 2017
52017
An accurate detection is not all you need to combat label noise in web-noisy datasets
P Albert, J Valmadre, E Arazo, T Krishna, NE O’Connor, K McGuinness
European Conference on Computer Vision, 55-72, 2025
22025
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
22019
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Articles 1–20