Publication profile
Publication profile
Alba Ordoñez
Name:
Alba Ordoñez
Title:
Forsker / Research Scientist
Phone:
(+47) +47 22 85 25 57 Mob: +47 966 77 132
Email:
albao [at] nr [dot] no
Scientific areas:
Machine Learning, Deep learning, Image analysis
Add to contacts (vCard) Show publications
Academic article
2022
. Evaluation of echosounder data preparation strategies for modern machine learning models. Fisheries Research (ISSN 0165-7836). 254 doi: 10.1016/j.fishres.2022.106411. 2022. Arkiv
. DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images. Fishes (ISSN 2410-3888). 7(3) doi: 10.3390/fishes7030121. 2022. Arkiv
. Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation. Fishes (ISSN 2410-3888). 7(2) pp 1-16. doi: 10.3390/fishes7020071. 2022.
2020
. Explaining decisions of deep neural networks used for fish age prediction. PLOS ONE (ISSN 1932-6203). 15(6) doi: 10.1371/journal.pone.0235013. 2020. Arkiv
2017
. Imaging the total wavefields by reflectivity estimation using amplitudenormalized wavefield decomposition: Field data example. Geophysics (ISSN 0016-8033). 82(2) pp S85-S97. doi: 10.1190/GEO2016-0095.1. 2017. Omtale
2016
. Subsurface reflectivity estimation from imaging of primaries and multiples using amplitude-normalized separated wavefields. Geophysics (ISSN 0016-8033). 81(3) pp S101-S117. doi: 10.1190/GEO2015-0385.1. 2016.
2014
. Migration of primaries and multiples using an imaging condition for amplitude-normalized separated wavefields. Geophysics (ISSN 0016-8033). 79(5) pp S217-S230. doi: 10.1190/GEO2013-0346.1. 2014. Omtale
2013
. Amplitude normalized imaging condition for separated wavefields. SEG Global Meeting Abstracts (ISSN 2159-6832). SBGf2013 pp 1304-1308. doi: 10.1190/sbgf2013-268. 2013. Omtale
Academic lecture
2021
. Deep domain adaptation applied to automatic fish age prediction. Visual Intelligence workshop on learning from limited data; Teams seminar, 2/12/2021 - 2/12/2021 1:00:00 AM.
. Using model averaging ensembles in semantic segmentation of marine echosounder data for acoustic classification of species. NOBIM 2021; Gardermoen, 9/13/2021 - 9/14/2021.
. Learning motion of seismic structures without human labelling. Visual Intelligence Days 2021; Oslo, 10/19/2021 - 10/20/2021.
2020
. Making sense of deep CNNs for image recognition applications. XAI - Explaning what goes on inside DNN/AI; Digitalt, 11/10/2020.
Poster
2022
. Explainability and uncertainty for classification of mammograms. NLDL 2022; Digital, 1/10/2022 - 3/12/2022.
2021
. Improving marine acoustic target classification with context information. Visual Intelligence Days 2021; Oslo, 10/19/2021 - 10/20/2021.
2020
. Understanding a Neural Network by Visualization: Application to Fish Age Prediction. Northern Lights Deep Learning Workshop 2020; Tromsø, 1/20/2020 - 1/21/2020.
Doctoral dissertation
2016
. Subsurface imaging using multiples from amplitude-normalized separated wavefields: Application to marine towed-streamer data. Unipub, UiO. pp 121. 2016.
Report
2022
. Learning motion of seismic structures without human labelling. Norsk Regnesentral. NR-notat SAMBA/10/22. pp 22. 2022.
. Learning motion of seismic structures without human labelling. Norsk Regnesentral. pp 20. 2022.
2021
. Fisheries acoustics and Acoustic Target Classification - Report from the COGMAR/CRIMAC workshop on machine learning methods in fisheries acoustics. Havforskningsinstituttet. Rapport fra havforskningen 2021 - 25. pp 25. 2021. Fulltekst Arkiv
. Machine learning for image-based interpretation of non-verbal communication - Initial version. Norsk Regnesentral. NR-notat SAMBA/04/21. pp 37. 2021.
2020
. Feasibility study: Non-verbal communication interpreter - Image-based methodological approaches. norsk regnesentral. NR-notat SAMBA/03/20. pp 49. 2020.
. Stedsbasert risiko for vannskader - fase 1: Vurdering av topografiske indekser. Norsk Regnesentral. NR-notat SAMBA/48/20. pp 34. 2020.
2019
. Visualization of deep neural networks applied to fish age prediction. Norsk Regnesentral. NR-notat SAMBA/42/19. pp 36. 2019.
| Name: | Alba Ordoñez |
| Title: | Forsker / Research Scientist |
| Phone: | (+47) +47 22 85 25 57 Mob: +47 966 77 132 |
| Email: | albao [at] nr [dot] no |
| Scientific areas: | Machine Learning, Deep learning, Image analysis |
| Add to contacts (vCard) |
| Show publications |
Academic article
2022
. Evaluation of echosounder data preparation strategies for modern machine learning models. Fisheries Research (ISSN 0165-7836). 254 doi: 10.1016/j.fishres.2022.106411. 2022. Arkiv
. DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images. Fishes (ISSN 2410-3888). 7(3) doi: 10.3390/fishes7030121. 2022. Arkiv
. Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation. Fishes (ISSN 2410-3888). 7(2) pp 1-16. doi: 10.3390/fishes7020071. 2022.
2020
. Explaining decisions of deep neural networks used for fish age prediction. PLOS ONE (ISSN 1932-6203). 15(6) doi: 10.1371/journal.pone.0235013. 2020. Arkiv
2017
. Imaging the total wavefields by reflectivity estimation using amplitudenormalized wavefield decomposition: Field data example. Geophysics (ISSN 0016-8033). 82(2) pp S85-S97. doi: 10.1190/GEO2016-0095.1. 2017. Omtale
2016
. Subsurface reflectivity estimation from imaging of primaries and multiples using amplitude-normalized separated wavefields. Geophysics (ISSN 0016-8033). 81(3) pp S101-S117. doi: 10.1190/GEO2015-0385.1. 2016.
2014
. Migration of primaries and multiples using an imaging condition for amplitude-normalized separated wavefields. Geophysics (ISSN 0016-8033). 79(5) pp S217-S230. doi: 10.1190/GEO2013-0346.1. 2014. Omtale
2013
. Amplitude normalized imaging condition for separated wavefields. SEG Global Meeting Abstracts (ISSN 2159-6832). SBGf2013 pp 1304-1308. doi: 10.1190/sbgf2013-268. 2013. Omtale
Academic lecture
2021
. Deep domain adaptation applied to automatic fish age prediction. Visual Intelligence workshop on learning from limited data; Teams seminar, 2/12/2021 - 2/12/2021 1:00:00 AM.
. Using model averaging ensembles in semantic segmentation of marine echosounder data for acoustic classification of species. NOBIM 2021; Gardermoen, 9/13/2021 - 9/14/2021.
. Learning motion of seismic structures without human labelling. Visual Intelligence Days 2021; Oslo, 10/19/2021 - 10/20/2021.
2020
. Making sense of deep CNNs for image recognition applications. XAI - Explaning what goes on inside DNN/AI; Digitalt, 11/10/2020.
Poster
2022
. Explainability and uncertainty for classification of mammograms. NLDL 2022; Digital, 1/10/2022 - 3/12/2022.
2021
. Improving marine acoustic target classification with context information. Visual Intelligence Days 2021; Oslo, 10/19/2021 - 10/20/2021.
2020
. Understanding a Neural Network by Visualization: Application to Fish Age Prediction. Northern Lights Deep Learning Workshop 2020; Tromsø, 1/20/2020 - 1/21/2020.
Doctoral dissertation
2016
. Subsurface imaging using multiples from amplitude-normalized separated wavefields: Application to marine towed-streamer data. Unipub, UiO. pp 121. 2016.
Report
2022
. Learning motion of seismic structures without human labelling. Norsk Regnesentral. NR-notat SAMBA/10/22. pp 22. 2022.
. Learning motion of seismic structures without human labelling. Norsk Regnesentral. pp 20. 2022.
2021
. Fisheries acoustics and Acoustic Target Classification - Report from the COGMAR/CRIMAC workshop on machine learning methods in fisheries acoustics. Havforskningsinstituttet. Rapport fra havforskningen 2021 - 25. pp 25. 2021. Fulltekst Arkiv
. Machine learning for image-based interpretation of non-verbal communication - Initial version. Norsk Regnesentral. NR-notat SAMBA/04/21. pp 37. 2021.
2020
. Feasibility study: Non-verbal communication interpreter - Image-based methodological approaches. norsk regnesentral. NR-notat SAMBA/03/20. pp 49. 2020.
. Stedsbasert risiko for vannskader - fase 1: Vurdering av topografiske indekser. Norsk Regnesentral. NR-notat SAMBA/48/20. pp 34. 2020.
2019
. Visualization of deep neural networks applied to fish age prediction. Norsk Regnesentral. NR-notat SAMBA/42/19. pp 36. 2019.
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