Recursive partitioning for heterogeneous causal effects
10.1073/pnas.1510489113 · 2016
Concentrations of antibiotics predicted to select for resistant bacteria: proposed limits for environmental regulation
10.1016/j.envint.2015.10.015 · 2016
Using machine learning tools to model complex toxic interactions with limited sampling regimes
10.1021/es3033549 · 2013
Hydrolysis of sulphonamides in aqueous solutions
10.1016/j.jhazmat.2012.04.044 · 2012
Recent developments in causal inference and machine learning
10.1146/annurev-soc-030420-015345 · 2023
A machine-learning approach clarifies interactions between contaminants of emerging concern
10.1016/j.oneear.2022.10.006 · 2022
Fate characteristics, exposure risk, and control strategy of typical antibiotics in Chinese sewerage system: a review
10.1016/j.envint.2022.107396 · 2022
Big data integration for environmental risk assessment of emerging contaminants
10.1038/s41893-025-01718-2 · 2026
Machine learning applications for chemical fingerprinting and environmental source tracking using non-target chemical data
10.1021/acs.est.1c06655 · 2022
Clarifying the effect of biodiversity on productivity in natural ecosystems with longitudinal data and methods for causal inference
10.1038/s41467-023-37194-5 · 2023
Machine learning methods for small data challenges in molecular science
10.1021/acs.chemrev.3c00189 · 2023
Unveiling the occurrence, distribution, removal, and environmental impacts of 65 emerging contaminants in neglected fresh leachate from municipal solid waste incineration plants
10.1016/j.jhazmat.2023.132355 · 2023
Antibiotic concentrations and antibiotic resistance in aquatic environments of the WHO Western Pacific and South-East Asia regions: a systematic review and probabilistic environmental hazard assessment
10.1016/s2542-5196(22)00254-6 · 2023
Antibiotic resistance contamination in four Italian municipal solid waste landfills sites spanning 34 years
10.1016/j.chemosphere.2020.129182 · 2021
Understanding the mechanisms and drivers of antimicrobial resistance
10.1016/s0140-6736(15)00473-0 · 2016
Antibiotic resistome in landfill leachate and impact on groundwater
10.1016/j.scitotenv.2024.171991 · 2024
Identification of key driving factors for ecological environmental quality in Hainan tropical rainforest national park using causal inference with double machine learning
2025
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
10.1111/biom.13481 · 2021
Stability of feature selection algorithm: a review
10.1016/j.jksuci.2019.06.012 · 2022
Towards the integration of antibiotic resistance gene mobility into environmental surveillance and risk assessment
10.1038/s44259-025-00154-8 · 2025
AMR, one health and the environment
10.1038/s41564-023-01351-9 · 2023
Differential effects of wastewater treatment plant effluents on the antibiotic resistomes of diverse river habitats
10.1038/s41396-023-01506-w · 2023
The panorama of antibiotics and the related antibiotic resistance genes (ARGs) in landfill leachate
10.1016/j.wasman.2022.03.008 · 2022
A stable feature selection method based on majority voting and SHAP for high-dimensional metabolomics data
10.1016/j.cmpb.2025.109170 · 2026
Chemical and biological assessments of environmental mixtures: a review of current trends, advances, and future perspectives
10.1016/j.jhazmat.2022.128658 · 2022
The NORMAN suspect list exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry
10.1186/s12302-022-00680-6 · 2022
A critical meta-analysis of predicted no effect concentrations for antimicrobial resistance selection in the environment
10.1016/j.watres.2024.122310 · 2024
A review of machine learning with small and limited data
10.1186/s40537-025-01346-9 · 2026
Modulation of antibiotic effects on microbial communities by resource competition
10.1038/s41467-023-37895-x · 2023
Interpretable machine learning for predicting the fate and transport of pentachlorophenol in groundwater
10.1016/j.envpol.2024.123449 · 2024
Occurrence of pharmaceuticals and plasticizers in leachate from municipal landfills of different age
10.1016/j.wasman.2022.01.023 · 2022
Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships
10.1038/s41467-023-37546-1 · 2023
Linking antibiotic resistance gene patterns with advanced faecal pollution assessment and environmental key parameters along 2300 km of the Danube river
10.1016/j.watres.2024.121244 · 2024
Assessing heterogeneity of treatment effect in real-world data
10.7326/m22-1510 · 2023
Pathogens and antibiotic resistance genes during the landfill leachate treatment process: occurrence, fate, and impact on groundwater
10.1016/j.scitotenv.2023.165925 · 2023
Quantification of the covariation of lake microbiomes and environmental variables using a machine learning-based framework
10.1111/mec.15872 · 2021
Metallic nanoparticles induced antibiotic resistance genes attenuation of leachate culturable microbiota: the combined roles of growth inhibition, ion dissolution and oxidative stress
10.1016/j.envint.2019.05.007 · 2019
Subsurface landfill leachate contamination affects microbial metabolic potential and gene expression in the banisveld aquifer
2018
Estimation and inference of heterogeneous treatment effects using random forests
10.1080/01621459.2017.1319839 · 2018
Emerging contaminants: a one health perspective
2024
