Francisco Louzada
Statistics and Probability · 2012–2020
A researcher in the Science corpus: 9 papers; trusts 34 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 63 citations into it; #6,259 of 12,932 by trust here, #3,703 by citations
- Artificial Intelligence — 30 citations into it; #27,828 of 35,345 by trust here, #33,294 by citations
- Management Science and Operations Research — 30 citations into it; #7,281 of 11,946 by trust here, #7,638 by citations
- Economics and Econometrics — 18 citations into it
- Accounting — 14 citations into it; #8,648 of 8,970 by trust here, #8,191 by citations
- Probabilistic & Bayesian Methods — 7 citations into it
- Safety, Risk, Reliability and Quality — 7 citations into it; #1,099 of 1,220 by trust here, #484 by citations
- Evaluation & Benchmarks — 6 citations into it
Whom Francisco Louzada trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David J. Hand
- Tian-Shyug Lee
- Leo Breiman
- Vladimir Naumovich Vapnik
- Robert E. Schapire
- David Hilton Wolpert
- Subir Ghosh
- Yann LeCun
- Bart Baesens
- Javad Akbari Torkestani
Who trusts Francisco Louzada overall
Papers from Francisco Louzada's perspective
Ordered by how strongly the researchers Francisco Louzada trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Bayesian Model Averaging: A Systematic Review and Conceptual Classification (2015) — 320 citations
- GROEC: Combination method via Generalized Rolling Origin Evaluation (2020) — 20 citations
- An extended Lindley distribution (2012) — 207 citations
- Models for optimising the theta method and their relationship to state space models (2016) — 75 citations
- The complementary Weibull geometric distribution (2014) — 53 citations
- Unit Modified Burr-III Distribution: Estimation, Characterizations and Validation Test (2020) — 53 citations
- Poisson–exponential distribution: different methods of estimation (2018) — 50 citations
- Classification methods applied to credit scoring: A systematic review and overall comparison (2016) — 208 citations
- The complementary exponential power series distribution (2013) — 53 citations