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What kind of novelties can machine learning possibly generate? The case of genomics · Study

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ArticleWhat kind of novelties can machine learning possibly generate? The case of genomics

Emanuele Ratti2020

Article2020

What kind of novelties can machine learning possibly generate? The case of genomics

10 citations·0/0 files stored·Studies in History and Philosophy of Science Part A

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Philosophy and History of Science Artificial Intelligence Applications Cybernetics and Technology in Society

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References

2007Molecular Biology of the Cell 1970Falsification and the Methodology of Scientific Research Programmes 1976Falsification and the Methodology of Scientific Research Programmes 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms 1970Criticism and the Growth of Knowledge 1966Philosophy of Natural Science 1992Science as Social Knowledge: Values and Objectivity in Scientific Inquiry 2012Data Science and Prediction

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2021Values and inductive risk in machine learning modelling: the case of binary classification models 2022The predictive reframing of machine learning applications: good predictions and bad measurements 2021Hypothesis-driven science in large-scale studies: the case of GWAS

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Year2020

Typearticle

Published2020-04-15

VenueStudies in History and Philosophy of Science Part A

ISSN-L0039-3681

Languageen

Citations10

Files0 public / 0

ShelfPhilosophy and History of Science

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doi10.1016/j.shpsa.2020.04.001

openalex_workW3017277995

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