Edoardo Carnesecchi

Predicting acute contact toxicity of pesticides in honeybees (Apis mellifera) through a k-nearest neighbor model

F. Como, Edoardo Carnesecchi, S. Volani et al. · Chemosphere · 2016 · 68 citations

Pesticide-residue Analysis, Biorational Pesticide, Pesticide Resistance +13

Predicting acute contact toxicity of organic binary mixtures in honey bees (A. mellifera) through innovative QSAR models

Edoardo Carnesecchi, Andrey A. Toropov, Alla P. Toropova et al. · The Science of The Total Environment · 2019 · 66 citations · Full text

Engineering, Allergy, Biorational Pesticide +15

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 et al. · Journal of Hazardous Materials · 2023 · 44 citations

Q-rasar Modeling, Predictive Toxicology, Pesticide-residue Analysis +11

First report on a classification-based QSAR model for chemical toxicity to earthworm

Joyita Roy, Probir Kumar Ojha, Edoardo Carnesecchi et al. · Journal of Hazardous Materials · 2019 · 43 citations

Environmental Chemistry, Classification-based Qsar Model, Predictive Toxicology +12

Exploring QSAR modeling of toxicity of chemicals on earthworm

Sulekha Ghosh, Probir Kumar Ojha, Edoardo Carnesecchi et al. · Ecotoxicology and Environmental Safety · 2019 · 43 citations

Environmental Chemistry, Qsar Modeling, Chemical Warfare Agent +4