Miguel Angel Ferrer-Ballester
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
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Papers from Miguel Angel Ferrer-Ballester's perspective
Ordered by how strongly the researchers Miguel Angel Ferrer-Ballester trusts endorse each paper. Same corpus, a different order for every researcher.
- An introduction to kernel-based learning algorithms
- Fundamentals of speech recognition
- Multimodal biometrics: An overview
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Going deeper with convolutions
- 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)