Fabio Pacifici

Media Technology · 2009–2014

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 29 citations into it; #2,693 of 3,621 by trust here, #660 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #17,540 of 21,575 by trust here, #14,822 by citations
• Artificial Intelligence — 17 citations into it; #28,585 of 35,345 by trust here, #22,463 by citations
• Atmospheric Science — 15 citations into it
• Ecology — 14 citations into it
• Statistical Learning Theory — 11 citations into it
• Analytical Chemistry — 8 citations into it

Whom Fabio Pacifici trusts overall

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

1. Giles M. Foody
2. David A. Landgrebe
3. Yakoub Bazi
4. Isabelle M Guyon
5. Farid Melgani
6. Leo Breiman
7. Jason Aaron Edward Weston
8. Jon Atli Benediktsson
9. Yuhai Wu
10. Charles M. Bishop

Who trusts Fabio Pacifici overall

1. Claudio Persello
2. Devis Tuia
3. X. Chen
4. Miao Li

Papers from Fabio Pacifici's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Statistical Learning Theory
10. Random Forests

Their papers

• Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest (2014) — 619 citations
• Very High Resolution Multiangle Urban Classification Analysis (2012) — 171 citations
• Active Learning Methods for Remote Sensing Image Classification (2009) — 513 citations
• A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification (2009) — 382 citations