| VIP Cheatsheet: Recurrent Neural Networks A Amidi, S Amidi | 146* | 2018 |
| EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation A Amidi, S Amidi, D Vlachakis, V Megalooikonomou, N Paragios, ... PeerJ 6, e4750, 2018 | 112 | 2018 |
| VIP Cheatsheet: Convolutional Neural Networks A Amidi, S Amidi Stanford University. Available online: https://stanford.edu/~shervine …, 2018 | 81* | 2018 |
| Automatic single-and multi-label enzymatic function prediction by machine learning S Amidi, A Amidi, D Vlachakis, N Paragios, EI Zacharaki PeerJ 5, e3095, 2017 | 34 | 2017 |
| VIP Cheatsheet: Machine Learning Tips and Tricks A Amidi, S Amidi Stanford University. Available online: https://stanford.edu/~shervine …, 2018 | 32* | 2018 |
| A machine learning methodology for enzyme functional classification combining structural and protein sequence descriptors A Amidi, S Amidi, D Vlachakis, N Paragios, EI Zacharaki Bioinformatics and Biomedical Engineering: 4th International Conference …, 2016 | 22 | 2016 |
| A detailed example of how to use data generators with Keras A Amidi, S Amidi Stanford blog. Retrieved 3, 2021, 2018 | 10 | 2018 |
| VIP Cheatsheet: Deep Learning Tips and Tricks A Amidi, S Amidi Stanford, 2018 | 9* | 2018 |
| Recurrent Neural Networks A Amidi, S Amidi Available at: stanford. edu/~ shervine/teaching/cs-230/cheatsheet-recurrent …, 2019 | 7 | 2019 |
| Super VIP Cheatsheet: Machine Learning A Amidi, S Amidi Course CS, 2018 | 4 | 2018 |
| VIP Cheatsheet: Supervised Learning A Amidi, S Amidi Web page: https://stanford.edu/shervine, 2018 | 2 | 2018 |
Afshine AmidiMITOverená e-mailová adresa na: mit.edu