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Reproducible computational environments for research
- Virtual environments, docker, git
Neural data handling and preprocessing
- Spiking data
- LFP
- Calcium imaging
- Widefield imaging
Single c…
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I got a couple of emails so asking, so, here it is:
In our work "Unsupervised domain adaptation in brain lesion segmentation with adversarial networks" (https://arxiv.org/abs/1612.08894, accepted i…
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Greetings and thanks for the wonderful paper.
I was reading how you want to use an unsupervised segmentation layer, and this idea came to my mind. I see you cited **Curiosity-driven Exploration by …
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I am trying to run LOST + CAD on a set of unlabeled dataset I have. Is it possible to do that without any annotation?
Correct me if I am wrong, I need to get the LOST pseudo-boxes by running main_…
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Thank you for sharing your code, there are some parts of your code that I don't understand because of my limited ability, could you help me?
1. The scenario you are modelling is a direct segmentation…
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I am trying to run the unsupervised segmentation example explained [here](https://github.com/tyiannak/pyAudioAnalysis/wiki/5.-Segmentation).
I am running the following command:
`python audioAna…
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Thanks for your work and i have read your paper. I have a question about the attention network.
In unsupervised setup, the losses are adversarial loss and cycle-consistency loss during early of t…
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**In the paper, section 3.1 BERT, it is said that -**
`we extract a fixed sized vector via max pooling of the second to last layer.` then `A sentence of N words will hence
esult in an N ∗ H embeddi…
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1. [Binary Relevance Efficacy for Multilabel Classification](https://link.springer.com/article/10.1007/s13748-012-0030-x) > https://github.com/Gin04gh/datascience/issues/6#issuecomment-419388287
1. […
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A single patient commonly undergoes several MRI sessions across time (i.e., first session at month 0, second session at month X, third session at month Y, etc.). Images are then analyzed to explore lo…