Ivan Simoes Gaspar
Electrical and Electronic Engineering · 2014–2019
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 27 citations into it
- Computer Networks and Communications — 13 citations into it
- Aerospace Engineering — 7 citations into it
- Artificial Intelligence — 5 citations into it
Whom Ivan Simoes Gaspar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ivan Simoes Gaspar's perspective
Ordered by how strongly the researchers Ivan Simoes Gaspar trusts endorse each paper. Same corpus, a different order for every researcher.
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Deep Learning for Massive MIMO CSI Feedback (IEEE Wireless Communications Letters)
- ImageNet classification with deep convolutional neural networks
- Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems (IEEE Wireless Communications Letters)
- Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (IEEE Wireless Communications Letters)
- Model-Driven Deep Learning for Physical Layer Communications (IEEE wireless communications)
- Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems (IEEE Journal on Selected Topics in Signal Processing)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- Generalized Frequency Division Multiplexing for 5th Generation Cellular Networks (2014) — 847 citations
- 5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications (2014) — 916 citations
- Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems (2019) — 391 citations