Ricardo J. Bessa
Electrical and Electronic Engineering · 2009–2020
A researcher in the Science corpus: 8 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 125 citations into it; #6,759 of 16,539 by trust here, #5,149 by citations
- Statistics and Probability — 96 citations into it
- Artificial Intelligence — 81 citations into it
- Global and Planetary Change — 25 citations into it
- Environmental Engineering — 19 citations into it
- Automotive Engineering — 18 citations into it; #1,518 of 3,081 by trust here, #2,181 by citations
- Control and Systems Engineering — 17 citations into it
- Atmospheric Science — 16 citations into it
Whom Ricardo J. Bessa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Bremnes
- Pierre Pinson
- Trevor J. Hastie
- Matthias Lange
- Jerome H. Friedman
- Hans Hersbach
- W. Kempton
- Nicolai Meinshausen
- Vladimir Naumovich Vapni
- Robert Tibshirani
Who trusts Ricardo J. Bessa overall
Papers from Ricardo J. Bessa's perspective
Ordered by how strongly the researchers Ricardo J. Bessa trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
- Estimating the Dimension of a Model
- The Elements of Statistical Learning
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Bagging Predictors
- Random Forests
- The Nature of Statistical Learning Theory
- Pattern Recognition and Machine Learning
- Improving neural networks by preventing co-adaptation of feature detectors
Their papers
- Wind Power Trading Under Uncertainty in LMP Markets (2012) — 201 citations
- Wind power forecasting : state-of-the-art 2009. (2009) — 334 citations
- Setting the Operating Reserve Using Probabilistic Wind Power Forecasts (2011) — 306 citations
- Economic and technical management of an aggregation agent for electric vehicles: a literature survey (2012) — 224 citations
- Wind power forecasting uncertainty and unit commitment (2011) — 290 citations
- Forecasting: theory and practice (2020) — 551 citations
- On-line quantile regression in the RKHS (Reproducing Kernel Hilbert Space) for operational probabilistic forecasting of wind power (2016) — 50 citations
- The role of an aggregator agent for EV in the electricity market (2010) — 118 citations