Alexander Brenning

Ecology · 2005–2018

A researcher in the Science corpus: 7 papers; trusts 13 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 43 citations into it
• Artificial Intelligence — 40 citations into it
• Statistics and Probability — 27 citations into it
• Global and Planetary Change — 25 citations into it; #7,539 of 10,225 by trust here, #4,701 by citations
• Nature and Landscape Conservation — 20 citations into it
• Ecological Modeling — 19 citations into it
• Media Technology — 18 citations into it
• Environmental Engineering — 17 citations into it; #137 of 5,479 by trust here, #1,393 by citations

Whom Alexander Brenning trusts overall

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

1. Leo Breiman
2. Alan Y. Chiang
3. Trevor J. Hastie
4. Mahesh Pal
5. Vladimir Naumovich Vapni
6. Robert Tibshirani
7. Bradley Efron
8. Walter Krämer
9. Biswajeet Pradhan
10. Jerome H. Friedman

Who trusts Alexander Brenning overall

1. Himan Shahabi
2. Leulalem Shano
3. Khabat Khosravi
4. Taskin Kavzoglu
5. Hanna Meyer
6. Wei Chen
7. Patrick Schratz
8. Gabriele Amato
9. Milos Marjanovic
10. D. Tien Bui

Papers from Alexander Brenning's perspective

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

1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
2. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
3. Random Search for Hyper-Parameter Optimization
4. Applied Predictive Modeling
5. Earthquake shakes Twitter users: real-time event detection by social sensors (The Web Conference)
6. Statistics For Spatial Data
7. Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake
8. Bagging Predictors
9. Testing the predictive performance of distribution models
10. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Their papers

• Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data (2018) — 439 citations
• Using spectrotemporal indices to improve the fruit-tree crop classification accuracy (2017) — 53 citations
• Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling (2015) — 753 citations
• Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile (2015) — 124 citations
• A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management (2015) — 369 citations
• New approaches to modelling fish―habitat relationships (2010) — 161 citations
• Spatial prediction models for landslide hazards: review, comparison and evaluation (2005) — 654 citations