
Seniorforsker
Alba Ordoñez
- Avdeling Bildeanalyse og jordobservasjon
- Telefonnummer +47 22 85 25 57
- E-post albao@nr.no
Publikasjoner
- 50 publikasjoner funnet
- Utgiver
Deep learning for marine acoustics: Leveraging data with strong, weak and no labels 2025. Faglig foredrag
Deep learning methods for acoustic target classification 2025. Annen presentasjon
Unsupervised domain adaptation for breast cancer detection in a multi-scanner environment: A case-study from Norway 2025. Vitenskapelig foredrag
A seismic foundation model for the Norwegian Continental Shelf 2025. Vitenskapelig foredrag
Interactive Injectite Mapping with Minimal Training Data using Self-Supervised Learning 2025. Vitenskapelig foredrag
Rotational invariance exploration for seismic CBIR 2024. Rapport
Developing a foundation model for seismic data 2024. Poster
Training a seismic foundation model and using it for interactive labelling 2024. Vitenskapelig foredrag
Foundation Models for Earth Observation 2024. Vitenskapelig foredrag
EO Foundation Model. Foundation Models for Climate and Society. Deliverable D1.1 Milestone 1 2024. Rapport
Assessing present and future risk of water damage using building attributes, meteorology, and topography Journal of the Royal Statistical Society, Series C (Applied Statistics), vol. 72, pp. 809 828 , (ISSN 0035-9254 1467-9876 ), doi: https://doi.org/10.1093/jrsssc/qlad043 , 2023. Vitenskapelig artikkel
Uncertainty in deep neural networks 2023. Vitenskapelig foredrag
Introduction of workshop on interpretability and reliability 2023. Vitenskapelig foredrag
Update on seismic content-based image retrieval 2023. Vitenskapelig foredrag
Making sense of AI models 2022. Faglig foredrag
Improving marine acoustic target classification with spatial information 2022. Vitenskapelig foredrag
Seismic analogy retrieval: preliminary study 2022. Vitenskapelig foredrag
Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation Fishes, vol. 7, pp. 1 16 , (ISSN 2410-3888 ), doi: https://doi.org/10.3390/fishes7020071 , 2022. Vitenskapelig artikkel
Evaluation of echosounder data preparation strategies for modern machine learning models Fisheries Research, vol. 254, (ISSN 0165-7836 1872-6763 ), doi: https://doi.org/10.1016/j.fishres.2022.106411 , 2022. Vitenskapelig artikkel
DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images Fishes, vol. 7, (ISSN 2410-3888 ), doi: https://doi.org/10.3390/fishes7030121 , 2022. Vitenskapelig artikkel
An online otolith age reader using deep neural networks: Perspectives and challenges 2022. Vitenskapelig foredrag
Developing and deploying machine learning methods for acoustic data 2022. Vitenskapelig foredrag
Seismic analogy retrieval: preliminary study 2022. Poster
Providing interpretable solutions 2022. Vitenskapelig foredrag
Machine learning for image-based interpretation of non-verbal communication - Initial version 2021. Rapport
Learning motion of seismic structures without human labelling 2021. Vitenskapelig foredrag
Deep domain adaptation applied to automatic fish age prediction 2021. Vitenskapelig foredrag
Deep Domain Adaptation Applied to Fish Age Prediction 2021. Faglig foredrag
Feasibility study: Non-verbal communication interpreter - Image-based methodological approaches 2020. Rapport
Making sense of deep CNNs for image recognition applications 2020. Vitenskapelig foredrag
Explaining decisions of deep neural networks used for fish age prediction PLOS ONE, vol. 15, (ISSN 1932-6203 ), doi: https://doi.org/10.1371/journal.pone.0235013 , 2020. Vitenskapelig artikkel