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Machine learning - based q-RASAR modeling to predict acute contact toxicity of binary organic pesticide mixtures in honey bees

Mainak Chatterjee, Arkaprava Banerjee, Simone Tosi, Edoardo Carnesecchi, Emilio Benfenati, Kunal Roy

2023Journal of Hazardous Materials48 citationsDOI

Topics & Concepts

Quantitative structure–activity relationshipSupport vector machinePredictabilityArtificial intelligenceRobustness (evolution)Machine learningSimilarity (geometry)Binary classificationPartial least squares regressionComputer sciencePattern recognition (psychology)MathematicsStatisticsChemistryBiochemistryImage (mathematics)GeneInsect and Pesticide ResearchPesticide Residue Analysis and SafetyPesticide Exposure and Toxicity
Machine learning - based q-RASAR modeling to predict acute contact toxicity of binary organic pesticide mixtures in honey bees | Litcius