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@book{burkovthehundredpage2019,
author = {Andriy Burkov},
title = {The Hundred-Page Machine Learning Book},
year = {2019},
publisher = {Andriy Burkov}
}
@book{Deisenroth2020MML,
title = {Mathematics for Machine Learning},
author = {Deisenroth, Marc Peter and Faisal, A. Aldo and Ong, Cheng Soon},
publisher = {Cambridge University Press},
year = {2020},
url = {https://mml-book.com},
}
@book{Alpaydin2014,
author = {Ethem Alpaydin},
title = {Introduction to Machine Learning},
edition = {3rd},
publisher = {The MIT Press},
address = {Cambridge, MA},
year = {2014},
isbn = {9780262028189}
}
@book{Rojas1996,
author = {Ra{\'u}l Rojas},
title = {Neural Networks: A Systematic Introduction},
publisher = {Springer},
address = {Berlin, Heidelberg},
year = {1996},
isbn = {978-3540605058}
}
@article{raghu2019transfusion,
title={Transfusion: Understanding transfer learning for medical imaging},
author={Raghu, Maithra and Zhang, Chiyuan and Kleinberg, Jon and Bengio, Samy},
journal={Advances in neural information processing systems},
volume={32},
year={2019}
}
@inproceedings{geirhos2018imagenet,
title={ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness},
author={Geirhos, Robert and Rubisch, Patricia and Michaelis, Claudio and Bethge, Matthias and Wichmann, Felix A and Brendel, Wieland},
booktitle={International conference on learning representations},
year={2018}
}
@article{wen2020convolutional,
title={Convolutional neural networks for classification of Alzheimer's disease: overview and reproducible evaluation},
author={Wen, Junhao and Thibeau-Sutre, Elina and Diaz-Melo, Mauricio and Samper-Gonz{\'a}lez, Jorge and Routier, Alexandre and Bottani, Simona and Dormont, Didier and Durrleman, Stanley and Burgos, Ninon and Colliot, Olivier and others},
journal={Medical image analysis},
volume={63},
pages={101694},
year={2020},
publisher={Elsevier}
}
@article{radimagnet,
author = {Mei, Xueyan and Liu, Zelong and Robson, Philip M. and Marinelli, Brett and Huang, Mingqian and Doshi, Amish and Jacobi, Adam and Cao, Chendi and Link, Katherine E. and Yang, Thomas and Wang, Ying and Greenspan, Hayit and Deyer, Timothy and Fayad, Zahi A. and Yang, Yang},
title = {RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning},
journal = {Radiology: Artificial Intelligence},
volume = {0},
number = {ja},
pages = {e210315},
year = {0},
doi = {10.1148/ryai.210315},
URL = {
https://doi.org/10.1148/ryai.210315
},
eprint = {
https://doi.org/10.1148/ryai.210315
}
}
@article{chattopadhyay2017gradcampp,
title = {Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks},
author = {Chattopadhyay, Aditya and Sarkar, Anirban and Howlader, Prantik and Balasubramanian, Vineeth N.},
journal = {arXiv preprint arXiv:1710.11063},
year = {2017},
url = {https://arxiv.org/abs/1710.11063},
eprint = {1710.11063},
archivePrefix= {arXiv},
primaryClass = {cs.CV},
note = {Accepted in the proceedings of IEEE Winter Conf. on Applications of Computer Vision (WACV 2018)},
}
@book{Goodfellow-et-al-2016,
title={Deep Learning},
author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
publisher={MIT Press},
note={\url{http://www.deeplearningbook.org}},
year={2016}
}
@article{Ozuysal2008RandomFerns,
author = {Mustafa Ozuysal and Michael Calonder and Vincent Lepetit and Pascal Fua},
title = {Fast Keypoint Recognition using Random Ferns},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {32},
number = {3},
pages = {448--461},
year = {2010},
publisher = {IEEE}
}