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The Importance of Scaling in Data Mining for Toxicity Prediction

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow ( Pimephales promelas )
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A Bayesian neural network method for adverse drug reaction signal generation
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The influence of data preprocessing on the robustness and parsimony of multivariate calibration models
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Effect of different preprocessing methods for principal component analysis applied to the composition of mixtures: Detection of impurities in HPLC—DAD
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Mathematical Programming
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Comparison of different methods for variable selection
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Data preprocessing and intelligent data analysis
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GA Strategy for Variable Selection in QSAR Studies: Application of GA-Based Region Selection to a 3D-QSAR Study of Acetylcholinesterase Inhibitors
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Predictive Carcinogenicity: A Model for Aromatic Compounds, with Nitrogen-Containing Substituents, Based on Molecular Descriptors Using an Artificial Neural Network
inferredcites →https://doi.org/10.1080/10629360108039836openalex-snapshot
Factors Influencing Predictive Models for Toxicology
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1109/34.730549openalex-snapshot
Are multilayer perceptrons adequate for pattern recognition and verification?
inferredcites →https://doi.org/10.1109/72.159058openalex-snapshot
Multilayer perceptron, fuzzy sets, and classification
inferredcites →https://doi.org/10.1109/kes.2000.885795openalex-snapshot
Neural explicit and implicit knowledge representation
inferredcites →https://doi.org/10.1137/0806023openalex-snapshot
An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
inferredcites →https://doi.org/10.1162/neco.1991.3.4.617openalex-snapshot
Kolmogorov's Theorem Is Relevant
inferredcites →https://doi.org/10.3233/ida-1997-1401openalex-snapshot
Letter to the Editor
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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