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- W2883002961 abstract "Positive selection and negative selection are the main artificial immune approaches. They can find application in any task where an automatic identification of incoming cases as self or non-self is needed. Both the approaches build the so-called detectors for protecting self cells, i.e. positive class objects. In a positive selection approach, detectors are able to recognize self objects, whereas the other approach produces detectors that eliminate non-self objects. The difference in construction of detectors causes that the choice of the approach may depend on the characteristic of the data under consideration." @default.
- W2883002961 created "2018-08-03" @default.
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- W2883002961 date "2018-07-01" @default.
- W2883002961 modified "2023-09-24" @default.
- W2883002961 title "Adaptive Positive-Negative Selection Approach" @default.
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- W2883002961 doi "https://doi.org/10.1088/1742-6596/1061/1/012020" @default.
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