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Changkyu Choi
Institutt for fysikk og teknologi
changkyu.choi@uit.no
Her finner du meg
Changkyu Choi
Om
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Her finner du meg
Postdoktor / Maskinlæring
Arbeider i Cristin
Vitenskapelige artikler og bokkapitler
Andre
Changkyu Choi, Michael Kampffmeyer, Nils Olav Handegard, Arnt-Børre Salberg, Robert Jenssen :
Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data
IEEE Journal of Oceanic Engineering 2023
ARKIV
/
DOI
Changkyu Choi, Michael Kampffmeyer, Nils Olav Handegard, Arnt Børre Salberg, Olav Brautaset, Line Eikvil m.fl.:
Semi-supervised target classification in multi-frequency echosounder data
ICES Journal of Marine Science 12. august 2021
ARKIV
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FULLTEKST
/
DOI
Changkyu Choi, Filippo Maria Bianchi, Michael Kampffmeyer, Robert Jenssen :
Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks
Proceedings of the Northern Lights Deep Learning Workshop 2020
ARKIV
/
DOI
Changkyu Choi :
Deep learning landscape 4: Transformers and their applicability in the marine domain now and in the near future
2023
Changkyu Choi :
Recent Deep Learning Models and their Applicability in the Marine Domain Now and in the Near Future
2023
Changkyu Choi, Michael Christian Kampffmeyer, Nils Olav Handegard, Arnt-Børre Salberg, Robert Jenssen :
Deep Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data
2023
Changkyu Choi :
Deep learning landscape 3: Explainable deep learning
2023
Changkyu Choi :
DIB-X: Formulating Explainability Principles for a Self-explainable Model through Information Theoretic Learning
2023
Changkyu Choi :
Deep learning landscape 1: Neural networks basic
2023
Changkyu Choi :
Deep learning landscape 2: Image tasks and CNNs
2023
Changkyu Choi :
Introduction to generative AI
2023
Nils Olav Handegard, Olav Brautaset, Changkyu Choi, Tomasz Furmanek, Arne Johan Hestnes, Espen Johnsen m.fl.:
Developing and deploying machine learning methods for acoustic data
2022
PROSJEKT
Changkyu Choi :
Segmenting Multi-frequency Marine Acoustic Data in a Semi-supervised Fashion
2022
Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Børre Salberg, Nils Olav Handegard, Suaiba Amina Salahuddin m.fl.:
Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior
2022
Nils Olav Handegard, Lars Nonboe Andersen, Olav Brautaset, Changkyu Choi, Inge Kristian Eliassen, Yngve Heggelund m.fl.:
Fisheries acoustics and Acoustic Target Classification - Report from the COGMAR/CRIMAC workshop on machine learning methods in fisheries acoustics
2021
FULLTEKST
/
ARKIV
Nils Olav Handegard, Changkyu Choi :
Arbeidet hans sparer forskerne for store ressurser, og åpner for et selvstyrt fiskeri
26. august 2021
FULLTEKST
Changkyu Choi :
Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data
2021
FULLTEKST
Changkyu Choi :
Deep Semi-supervised Target Classification in Multi-frequency Echosounder Data
2021
Changkyu Choi :
Marine Vision: When Visual Intelligence meets Marine Science
2021
FULLTEKST
Changkyu Choi, Michael Kampffmeyer, Nils Olav Handegard, Arnt Børre Salberg, Line Eikvil, Robert Jenssen :
Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data
2021
Changkyu Choi, Filippo Maria Bianchi, Michael Kampffmeyer, Robert Jenssen :
Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks
2020
ARKIV
/
FULLTEKST
Changkyu Choi, Michael Kampffmeyer, Robert Jenssen :
A Robustness Analysis of Personalized Propagation of Neural Prediction
2020
ARKIV
Changkyu Choi :
Semisupervised target classification in multifrequency echosounder data
2020
De 50 siste resultatene fra Cristin vises på siden. Se alle arbeider i Cristin her →
Forskning og undervisning
Medlem i forskningsgruppe
Machine Learning
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