Giovanni Montana
Computer Vision and Pattern Recognition · 2010–2016
A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it; #11,321 of 21,575 by trust here, #12,992 by citations
- Artificial Intelligence — 12 citations into it
- Optimization & Training — 7 citations into it
Whom Giovanni Montana trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Marc'Aurelio Ranzato
- L. Eon Bottou
- Geoffrey E. Hinton
- Yann LeCun
- Xavier Glorot
- Alex Krizhevsky
- Ilya Sutskever
- Diederik P. Kingma
- Radford M. Neal
Who trusts Giovanni Montana overall
- Jyoti Islam
- Fausto Milletarì
- Christian Wachinger
- Neslihan Bayramoglu
- Saman Sarraf
- Manhua Liu
- Adnan Qayyum
- Pim Moeskops
- Geert J. S. Litjens
- Farheen Ramzan
Papers from Giovanni Montana's perspective
Ordered by how strongly the researchers Giovanni Montana trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep neural networks for anatomical brain segmentation (2015) — 332 citations
- Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks (2015) — 530 citations
- Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker (2016) — 828 citations
- Genome Expansion and Gene Loss in Powdery Mildew Fungi Reveal Tradeoffs in Extreme Parasitism (2010) — 778 citations