Lazy Learning for Predictive Toxicology based on a Chemical Ontology
By E. Armengol, E. Plaza. 2004
9 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Spectroscopy
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Citations in the corpus
- Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, methodology): “Lazy learning-based approach has widely been used in several practical contexts, such as data streams [87], air quality planning [88], predictive toxicology based on a chemical ontology [89], prediction of customer demands [90], hydrologic forecasting [91], air quality prediction [92], magne-”