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Latent risk identification of heavy metal contamination in food systems using interpretable machine learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Applied Predictive Modeling
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A Comprehensive Evaluation of Heavy Metal Contamination in Foodstuff and Associated Human Health Risk: A Global Perspective
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Heavy metal bioaccumulation in fish: emerging trends and associated health implications
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Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions
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AI-Driven Risk Assessment in Food Safety Using EU RASFF Database
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Applications of Artificial Intelligence and Machine Learning in Food Quality Control and Safety Assessment
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Toxic Metals and Metalloids in Food: Current Status, Health Risks, and Mitigation Strategies
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Assessment of heavy metal contamination in sediment at the newly established tannery industrial Estate in Bangladesh: A case study
inferredcites →https://doi.org/10.1016/j.envint.2015.12.017openalex-snapshot
Heavy metals in agricultural soils of the European Union with implications for food safety
inferredcites →https://doi.org/10.1016/j.envint.2019.01.067openalex-snapshot
Heavy metals in food crops: Health risks, fate, mechanisms, and management
inferredcites →https://doi.org/10.1016/j.foodcont.2018.02.027openalex-snapshot
Classical and novel approaches to the analysis of honey and detection of adulterants
inferredcites →https://doi.org/10.1016/j.foodcont.2019.05.027openalex-snapshot
Detection of irradiated plant foods by photo- and thermally-stimulated luminescence
inferredcites →https://doi.org/10.1016/j.ipm.2009.03.002openalex-snapshot
A systematic analysis of performance measures for classification tasks
inferredcites →https://doi.org/10.1016/j.jenvman.2018.03.077openalex-snapshot
Biological approaches to tackle heavy metal pollution: A survey of literature
inferredcites →https://doi.org/10.1016/j.jfp.2023.100184openalex-snapshot
A Review of Food Contaminants and Their Pathways Within Food Processing Facilities Using Open Food Processing Equipment
inferredcites →https://doi.org/10.1016/j.rineng.2024.102831openalex-snapshot
Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature
inferredcites →https://doi.org/10.1016/j.tifs.2022.01.020openalex-snapshot
Digitalisation and Artificial Intelligence for sustainable food systems
inferredcites →https://doi.org/10.1021/es403103topenalex-snapshot
Biomagnification of Mercury in Aquatic Food Webs: A Worldwide Meta-Analysis
inferredcites →https://doi.org/10.1073/pnas.1218656110openalex-snapshot
Human health impacts of ecosystem alteration
inferredcites →https://doi.org/10.1080/09720510.2012.10701623openalex-snapshot
Power study of anova versus Kruskal-Wallis test
inferredcites →https://doi.org/10.1080/10408398.2016.1141165openalex-snapshot
Critical review of methods for risk ranking of food-related hazards, based on risks for human health
inferredcites →https://doi.org/10.1080/10408398.2022.2067828openalex-snapshot
Systematic evidence on migrating and extractable food contact chemicals: Most chemicals detected in food contact materials are not listed for use
inferredcites →https://doi.org/10.1093/bioinformatics/btr300openalex-snapshot
Classification with correlated features: unreliability of feature ranking and solutions
inferredcites →https://doi.org/10.1093/fqsafe/fyaf002openalex-snapshot
Migration of toxic elements from recycled paper food contact materials to food simulants: compatibility and influence of sample preparation methods
inferredcites →https://doi.org/10.1111/j.1539-6924.1994.tb00289.xopenalex-snapshot
Designing Risk Communications: Completing and Correcting Mental Models of Hazardous Processes, Part I
inferredcites →https://doi.org/10.1155/2019/6730305openalex-snapshot
Environmental Chemistry and Ecotoxicology of Hazardous Heavy Metals: Environmental Persistence, Toxicity, and Bioaccumulation
inferredcites →https://doi.org/10.1289/ehp.1205122openalex-snapshot
A Quantitative Synthesis of Mercury in Commercial Seafood and Implications for Exposure in the United States
inferredcites →https://doi.org/10.1289/ehp108openalex-snapshot
Health Risk Assessment of Dietary Cadmium Intake: Do Current Guidelines Indicate How Much is Safe?
inferredcites →https://doi.org/10.1556/aalim.2007.0006openalex-snapshot
Rapid method for selective enumeration ofBifidus essensisin ACTIVIA yogurts
inferredcites →https://doi.org/10.1590/s1413-81232011000500029openalex-snapshot
Cadmium, environmental exposure, and health outcomes
inferredcites →https://doi.org/10.3390/jox15020059openalex-snapshot
Bioaccumulation and Trophic Transfer of Heavy Metals in Marine Fish: Ecological and Ecosystem-Level Impacts
inferredcites →https://doi.org/10.3390/molecules26113232openalex-snapshot
Food Contact Materials: Migration and Analysis. Challenges and Limitations on Identification and Quantification
inferredcites →https://doi.org/10.3390/su14010161openalex-snapshot
Heavy Metal Contamination of Natural Foods Is a Serious Health Issue: A Review
inferredcites →https://doi.org/10.3390/toxics11050422openalex-snapshot
Clean-Up of Heavy Metals from Contaminated Soil by Phytoremediation: A Multidisciplinary and Eco-Friendly Approach
inferredcites →https://doi.org/10.3390/toxics13050333openalex-snapshot
Assessing Heavy Metal Contamination in Food: Implications for Human Health and Environmental Safety
inferredcites →https://doi.org/10.36740/wlek201912239openalex-snapshot
THE LEGAL FOUNDATIONS OF FOOD SAFETY AS A MEANS OF PROVIDING PUBLIC HEALTHIN GLOBALIZATION
inferredcites →https://doi.org/10.37221/eaef.17.1_12openalex-snapshot
Heavy metal contamination and food safety
inferredcites →https://doi.org/10.37358/mp.17.2.4855openalex-snapshot
Influence of Packaging Type on the Dynamics of Powdered Eggs Chemical Composition
inferredcites →https://doi.org/10.56578/ataiml020102openalex-snapshot
Performance Evaluation of ANN Models for Prediction
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