Georgia A. Papacharalampous
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Statistics and Probability — 44 citations into it
- Global and Planetary Change — 26 citations into it
- Environmental Engineering — 24 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Water Science and Technology — 22 citations into it
- Information Systems — 16 citations into it
- Statistical Learning Theory — 16 citations into it
Whom Georgia A. Papacharalampous trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rob J Hyndman
- Leo Breiman
- Max Kuhn
- Spyros Makridakis
- Demetris Koutsoyiannis
- Souhaib Ben Taieb
- Vassilios Assimakopoulos
- Gérard Biau
- Sean J. Taylor
- Hristos Tyralis
Who trusts Georgia A. Papacharalampous overall
Papers from Georgia A. Papacharalampous's perspective
Ordered by how strongly the researchers Georgia A. Papacharalampous trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Bagging Predictors
- Estimating the Dimension of a Model
- Regression Shrinkage and Selection via the Lasso
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The Elements of Statistical Learning
- ImageNet classification with deep convolutional neural networks
- The Nature of Statistical Learning Theory
- Classification and Regression by randomForest
- A new look at the statistical model identification
Their papers
- A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources (2019) — 593 citations
- Predictability of monthly temperature and precipitation using automatic time series forecasting methods (2018) — 126 citations
- How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset (2018) — 62 citations