Peter L. M. Goethals

Artificial Intelligence · 2004–2013

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Statistics and Probability — 5 citations into it

Whom Peter L. M. Goethals trusts overall

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

1. J. Ross Quinlan
2. Julian D. Olden

Papers from Peter L. M. Goethals's perspective

Ordered by how strongly the researchers Peter L. M. Goethals trusts endorse each paper. Same corpus, a different order for every researcher.

1. C4.5: Programs for Machine Learning
2. Interpreting neural-network connection weights
3. Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks
4. A review of erosion and sediment transport models (Environmental Modelling & Software)
5. The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning (Environmental Modelling & Software)
6. Classification and Regression Trees
7. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
8. Using Bayesian belief networks in adaptive management
9. Bayesian Networks and Decision Graphs (Statistics for Engineering and Information Science)
10. Bayesian networks in environmental modelling (Environmental Modelling & Software)

Their papers

• A review of Bayesian belief networks in ecosystem service modelling (2013) — 356 citations
• Decision Tree Models for Prediction of Macroinvertebrate Taxa in the River Axios (Northern Greece) (2007) — 73 citations
• Optimization of Artificial Neural Network (ANN) model design for prediction of macroinvertebrates in the Zwalm river basin (Flanders, Belgium) (2004) — 115 citations