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Kaveh_Moradkhani
Kaveh Moradkhani

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NL

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Challenges Entered

3D Seismic Image Interpretation by Machine Learning

Latest submissions

No submissions made in this challenge.

5 Problems 21 Days. Can you solve it all?

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No submissions made in this challenge.

Project 2: Road extraction from satellite images

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No submissions made in this challenge.

5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

Latest submissions

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graded 118777
graded 116860
graded 116681

Detect water bodies from satellite Imagery

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graded 118777
graded 116860
graded 116681
Participant Rating
samanehmolavi 0
Participant Rating
samanehmolavi 0

LNDST

Can I use your dataset LNDST and publish my results as an article?

Over 3 years ago

(post withdrawn by author, will be automatically deleted in 24 hours unless flagged)

Can I use your dataset LNDST and publish my results as an article?

Over 3 years ago

(post withdrawn by author, will be automatically deleted in 24 hours unless flagged)

Can I use your dataset LNDST and publish my results as an article?

Over 3 years ago

(post withdrawn by author, will be automatically deleted in 24 hours unless flagged)

Can I use your dataset LNDST and publish my results as an article?

Over 3 years ago

(post withdrawn by author, will be automatically deleted in 24 hours unless flagged)

Can I use your dataset LNDST and publish my results as an article?

Over 3 years ago

Hi,
This is Kaveh Moradkhani, a master’s graduated in computer science. I recently designed a deep learning model to segment images of your LNDST water body segmentation challenge as my thesis project, and I have achieved higher results than other people that have participated in this contest. Now I want to publish my results as a paper but I don’t have any documented method from others to compare my result with. Can I ask you please to send me the top methods that others have used them? higher F1 on this data is 0.96 but I get 0.98. I certainly need higher methods to compare with.
Can I use your data and publish my results as an article?
Please send me the best people of your methods so that I can compare my work with yours.
I am looking forward to your response, in advance I’m very thankful for your kindness

With warm regards,
Kaveh Moradkhani

kavehmoradkhani73@gmail.com

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