R. Iravani
IEEE Transactions on Power Delivery · 2010
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom R. Iravani trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Xin Wu (in Control and Systems Engineering)
- Antonello Monti (in Control and Systems Engineering)
Papers from R. Iravani's perspective
Ordered by how strongly the researchers R. Iravani trusts endorse each paper. Same corpus, a different order for every researcher.
- A Low-Cost Real-Time Hardware-in-the-Loop Testing Approach of Power Electronics Controls (IEEE transactions on industrial electronics (1982. Print))
- Improving neural networks by preventing co-adaptation of feature detectors
- Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks
- Hyperspectral Remote Sensing Data Analysis and Future Challenges (IEEE Geoscience and Remote Sensing Magazine)
- Why Does Unsupervised Pre-training Help Deep Learning?
- Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification (IEEE Transactions on Geoscience and Remote Sensing)
- Staple: Complementary Learners for Real-Time Tracking (Computer Vision and Pattern Recognition)
- BAM: Bottleneck Attention Module (British Machine Vision Conference)
- Recent advances in convolutional neural networks
- Hyperspectral Image Restoration Using Low-Rank Matrix Recovery (IEEE Transactions on Geoscience and Remote Sensing)