Cesar Henrique Comin
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Signal Processing — 9 citations into it
- Molecular Biology — 7 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Cesar Henrique Comin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anil K. Jain
- Pavel Berkhin
- Jiawei Han
- Andrew Y. Ng
- Arthur P. Dempster
- David Arthur
- Sylvain Brohée
- C. Perez-Iratxeta
- Douglas Burdick
- Lance Parsons
Papers from Cesar Henrique Comin's perspective
Ordered by how strongly the researchers Cesar Henrique Comin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Information Theory: 1948-1998 - Guest Editorial
- Gradient-based learning applied to document 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)
- Extracting and composing robust features with denoising autoencoders
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Principal Component Analysis (2018) — 356 citations
- Clustering algorithms: A comparative approach (2016) — 543 citations