id	domain	url
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	doi.org	https://doi.org/10.1038/nature21056
cana-5708	doi.org	https://doi.org/10.1038/s41551-019-0367-2
cana-5708	doi.org	https://doi.org/10.1162/neco_a_00990
cana-5708	www.jmlr.org	https://www.jmlr.org/papers/volume18/16-558/16558.pdf
cana-5708	arxiv.org	https://arxiv.org/abs/1409.1556
cana-5708	arxiv.org	https://arxiv.org/abs/1602.07261
cana-5708	doi.org	https://doi.org/10.1109/cvpr.2016.90
cana-5708	doi.org	https://doi.org/10.3390/info11020108
cana-5708	doi.org	https://doi.org/10.1038/nature21056
cana-5708	doi.org	https://doi.org/10.1038/s41551-019-0367-2
cana-5708	doi.org	https://doi.org/10.1162/neco_a_00990
cana-5708	www.jmlr.org	https://www.jmlr.org/papers/volume18/16-558/16-558.pdf
cana-5708	www.jmlr.org	https://www.jmlr.org/papers/volume18/16-558/16-558.pdf
cana-5708	arxiv.org	https://arxiv.org/abs/1409.1556
cana-5708	arxiv.org	https://arxiv.org/abs/1602.07261
cana-5708	doi.org	https://doi.org/10.1109/cvpr.2016.90
cana-5708	doi.org	https://doi.org/10.3390/info11020108
cana-5708	internationalpubls.com	https://internationalpubls.com
cana-5708	arxiv.org	https://arxiv.org/abs/1804.02767
cana-5708	arxiv.org	https://arxiv.org/abs/1412.6980
cana-5708	doi.org	https://doi.org/10.1038/sdata.2018.161
cana-5708	challenge.isic-archive.com	https://challenge.isic-archive.com
cana-5708	www.kaggle.com	https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000
cana-5708	doi.org	https://doi.org/10.1109/tmi.2019.2905817
cana-5708	www.deeplearningbook.org	http://www.deeplearningbook.org
cana-5708	www.manning.com	https://www.manning.com/books/deep-learning-with-python
cana-5708	keras.io	https://keras.io
cana-5708	doi.org	https://doi.org/10.1016/j.media.2017.07.005
cana-5708	arxiv.org	https://arxiv.org/abs/2012.03011
cana-5708	arxiv.org	https://arxiv.org/abs/2302.00511
cana-5708	arxiv.org	https://arxiv.org/abs/1804.02767
cana-5708	arxiv.org	https://arxiv.org/abs/1412.6980
cana-5708	doi.org	https://doi.org/10.1038/sdata.2018.161
cana-5708	challenge.isic-archive.com	https://challenge.isic-archive.com
cana-5708	www.kaggle.com	https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000
cana-5708	doi.org	https://doi.org/10.1109/tmi.2019.2905817
cana-5708	www.deeplearningbook.org	http://www.deeplearningbook.org
cana-5708	www.manning.com	https://www.manning.com/books/deep-learning-with-python
cana-5708	keras.io	https://keras.io
cana-5708	doi.org	https://doi.org/10.1016/j.media.2017.07.005
cana-5708	arxiv.org	https://arxiv.org/abs/2012.03011
cana-5708	arxiv.org	https://arxiv.org/abs/2302.00511