Filiberto Pla
Media Technology · 2006–2019
A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Media Technology — 38 citations into it; #3,504 of 3,621 by trust here, #1,171 by citations
- Computer Vision and Pattern Recognition — 35 citations into it
- Artificial Intelligence — 28 citations into it
- Atmospheric Science — 25 citations into it
- Model Architectures — 19 citations into it
- Analytical Chemistry — 11 citations into it
- Ecology — 8 citations into it
Whom Filiberto Pla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Golden
- Thomas M. Cover
- Anil K. Jain
- Sebastiano Bruno Serpico
- Jing Wang
- Lorenzo Bruzzone
- Antonio J. Plaza
- Elzbieta Pekalska
- Leo Breiman
- Inderjit S. Dhillon
Who trusts Filiberto Pla overall
Papers from Filiberto Pla's perspective
Ordered by how strongly the researchers Filiberto Pla trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Densely Connected Convolutional Networks
- Deep Learning
- Long Short-Term Memory
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Information Theory: 1948-1998 - Guest Editorial
- Automatic differentiation in PyTorch
Their papers
- Capsule Networks for Hyperspectral Image Classification (2019) — 311 citations
- Clustering-Based Hyperspectral Band Selection Using Information Measures (2007) — 520 citations
- Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces (2006) — 77 citations
- Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification (2019) — 428 citations