A. Dedecker

Artificial Intelligence · 2004–2007

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

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

Whom A. Dedecker trusts overall

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

1. Julian D. Olden
2. J. Ross Quinlan
3. Donald A. Jackson
4. Ron Kohavi
5. Leo Breiman

Papers from A. Dedecker's perspective

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

1. Interpreting neural-network connection weights
2. Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks
3. C4.5: Programs for Machine Learning
4. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
5. Classification and Regression Trees
6. Artificial neural network approach for modelling and prediction of algal blooms
7. Heuristics of instability and stabilization in model selection
8. The measurement of observer agreement for categorical data.
9. Induction of decision trees
10. A Coefficient of Agreement for Nominal Scales

Their papers

• 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