João Paulo Ramos Teixeira
Atmospheric Science · 2001–2020
A researcher in the Science corpus: 15 papers; trusts 57 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 154 citations into it; #532 of 4,804 by trust here, #547 by citations
- Global and Planetary Change — 149 citations into it; #1,115 of 10,225 by trust here, #1,690 by citations
- Artificial Intelligence — 58 citations into it; #23,222 of 35,345 by trust here, #26,682 by citations
- Signal Processing — 36 citations into it
- Speech & Audio — 27 citations into it
- Natural Language Processing — 24 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Environmental Engineering — 18 citations into it; #837 of 5,479 by trust here, #1,854 by citations
Whom João Paulo Ramos Teixeira trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- P. M. M. Soares
- R. Wood
- A. P. Siebesma
- Paul P. G. Boersma
- Chris Bretherton
- Sandrine Bony
- Radford M. Neal
- D. Seidel
- Shuyan Liu
- Chi O. Ao
Who trusts João Paulo Ramos Teixeira overall
- Edresson Casanova
- Axel Von Engeln
- Sungsu Park
- Martin Köhler
- C. Rio
- Christopher Dane Shulby
- Frederico Santos de Oliveira
- Tapio Schneider
- Frederic Hourdin
- Chris Bretherton
Papers from João Paulo Ramos Teixeira's perspective
Ordered by how strongly the researchers João Paulo Ramos Teixeira trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Layer Normalization
Their papers
- TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese (2020) — 24 citations
- End-To-End Speech Synthesis Applied to Brazilian Portuguese (2020) — 3 citations
- Climate goals and computing the future of clouds (2017) — 310 citations
- Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations (2017) — 375 citations
- Entrainment and detrainment in cumulus convection: an overview (2013) — 347 citations
- A Planetary Boundary Layer Height Climatology Derived from ECMWF Reanalysis Data (2013) — 232 citations
- Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A-Train” satellite observations (2012) — 355 citations
- Tropical and Subtropical Cloud Transitions in Weather and Climate Prediction Models: The GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI) (2011) — 146 citations
- The CMS experiment at the CERN LHC (2008) — 7,266 citations
- A Combined Eddy-Diffusivity Mass-Flux Approach for the Convective Boundary Layer (2007) — 365 citations
- CMS physics technical design report: Addendum on high density QCD with heavy ions (2007) — 303 citations
- An eddy‐diffusivity/mass‐flux parametrization for dry and shallow cumulus convection (2004) — 200 citations
- Prediction of fujisaki model's phrase commands (2003) — 9 citations
- Navy Operational Global Atmospheric Prediction System (NOGAPS): Forcing for Ocean Models (2002) — 161 citations
- Phonetic events from the labeling the european portuguese database for speech synthesis, FEUP/IPBDB (2001) — 21 citations