Ravikiran Mane

Cognitive Neuroscience · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 8 citations into it

Whom Ravikiran Mane trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Zhiwu Huang
2. Alexandre Barachant
3. H. Brendan McMahan

Papers from Ravikiran Mane's perspective

Ordered by how strongly the researchers Ravikiran Mane trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. A review of classification algorithms for EEG-based brain–computer interfaces (Journal of Neural Engineering)
3. Multiclass Brain–Computer Interface Classification by Riemannian Geometry (IEEE Transactions on Biomedical Engineering)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. A Kernel Method for the Two-Sample-Problem
8. Communication-Efficient Learning of Deep Networks from Decentralized Data
9. BCI2000: a general-purpose brain-computer interface (BCI) system (IEEE Transactions on Biomedical Engineering)
10. Federated Learning of Deep Networks using Model Averaging

Their papers

• Federated Transfer Learning for EEG Signal Classification (2020) — 131 citations