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Physical Review Letters|May 1, 2001
Implications of the ALEPH tau-lepton decay data for perturbative and nonperturbative QCDT Schäfer, E V ShuryakPlos One|January 10, 2017
Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data SetsIgor ShuryakJournal of Environmental Radioactivity|June 9, 2018
Modeling species richness and abundance of phytoplankton and zooplankton in radioactively contaminated water bodiesIgor ShuryakJournal of Environmental Radioactivity|December 11, 2019
Review of resistance to chronic ionizing radiation exposure under environmental conditions in multicellular organismsIgor ShuryakJournal of Environmental Radioactivity|November 12, 2021
Machine learning analysis of 137Cs contamination of terrestrial plants after the Fukushima accident using the random forest algorithmIgor ShuryakJournal of Radiological Protection : Official Journal of the Society for Radiological Protection|July 12, 2019
Enhancing low-dose risk assessment using mechanistic mathematical models of radiation effectsIgor ShuryakJournal of Environmental Radioactivity|November 3, 2018
Review of microbial resistance to chronic ionizing radiation exposure under environmental conditionsIgor ShuryakPlos One|April 26, 2017
Quantitative modeling of responses to chronic ionizing radiation exposure using targeted and non-targeted effectsIgor ShuryakJournal of Environmental Radioactivity|May 17, 2023
Analysis of causal effects of 137Cs deposition on 137Cs concentrations in trees after the Fukushima accident using machine learningIgor ShuryakPageof 1,334