Mohammad-Parsa Hosseini

IEEE Reviews in Biomedical Engineering · 2020

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

Whom Mohammad-Parsa Hosseini trusts overall

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

1. Anil K. Jain
2. Alin Dobra
3. T. J. Watson
4. Arnaud Delorme

Papers from Mohammad-Parsa Hosseini's perspective

Ordered by how strongly the researchers Mohammad-Parsa Hosseini trusts endorse each paper. Same corpus, a different order for every researcher.

1. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
2. Data clustering: 50 years beyond K-means
3. An empirical study of the naive Bayes classifier
4. Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction (Biomedical Signal Processing and Control)
5. Decision trees (Encyclopedia of Database Systems)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Histograms of oriented gradients for human detection

Their papers

• A Review on Machine Learning for EEG Signal Processing in Bioengineering (2020) — 392 citations