J.V. Ribeiro - MN AM, Columbus, OH USA

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Papers共 11 篇Author StatisticsCo-AuthorSimilar Experts

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High Throughput Read-Across for Screening a Large Inventory of Related Structures by Balancing Artificial Intelligence/Machine Learning and Human Knowledge

Chihae Yang,James F. Rathman,Aleksandra Mostrag,Joao Vinicius Ribeiro,Bryan Hobocienski,Tomasz Magdziarz,Sunil Kulkarni,Tara Barton-Maclaren

CHEMICAL RESEARCH IN TOXICOLOGYno. 7 (2023): 1081-1106

Cited2Views0WOSBibtex

Evaluation of QSAR Models for Predicting Mutagenicity: Outcome of the Second Ames/QSAR International Challenge Project

A. Furuhama, A. Kitazawa, J. Yao, Matos C. E. dos Santos,J. Rathman, C. Yang,J. V. Ribeiro,K. Cross,G. Myatt,G. Raitano,E. Benfenati,N. Jeliazkova,R. Saiakhov,S. Chakravarti, R. S. Foster, C. Bossa, C. Laura Battistelli,R. Benigni, T. Sawada, H. Wasada, T. Hashimoto, M. Wu,R. Barzilay, P. R. Daga, R. D. Clark,J. Mestres, A. Montero,E. Gregori-Puigjane, P. Petkov,H. Ivanova,O. Mekenyan, S. Matthews, D. Guan, J. Spicer, R. Lui,Y. Uesawa, K. Kurosaki, Y. Matsuzaka, S. Sasaki,M. T. D. Cronin,S. J. Belfield,J. W. Firman, N. Spinu, M. Qiu, J. M. Keca,G. Gini, T. Li, W. Tong, H. Hong, Z. Liu, Y. Igarashi, H. Yamada, K. -I. Sugiyama,M. Honma

SAR AND QSAR IN ENVIRONMENTAL RESEARCHno. 12 (2023): 983-1001

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Probabilistic Read-Across Assessment of 2-MCPD Leveraging Machine Learning and Qualified Data

J. Rathman,C. Yang,E. Benfenati,M. Diemar,S. Ghironi,R. Gozalbes,B. Hobocienski,T. Magdziarz,A. Mostrag,J. V. Ribeiro,E. Roggen,A. Roncaglioni,E. Serrano-Candelas,M. Vinken

TOXICOLOGY LETTERS (2023): S112-S112

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Update of the Cancer Potency Database (CPDB) to Enable Derivations of Thresholds of Toxicological Concern (TTC) for Cancer Potency

Chihae Yang,James F. Rathman,J. Vinicius Ribeiro,Monika Batke,Sylvia E. Escher,James W. Firman,Bryan Hobocienski,Rupert Kellner,Aleksandra Mostrag,Katarzyna R. Przybylak,Mark T. D. Cronin

FOOD AND CHEMICAL TOXICOLOGY (2023)

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P06-25: Probabilistic Read-Across Assessment of 2-MCPD Leveraging Machine Learning and Qualified Data

J. Rathman,C. Yang,E. Benfenati,M. Diemar,S. Ghironi,R. Gozalbes,B. Hobocienski,T. Magdziarz,A. Mostrag,J.V. Ribeiro,E. Roggen,A. Roncaglioni,E. Serrano-Candelas,M. Vinken

Toxicology Letters (2023): S114-S115

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P04-13 Development of Chemical and Toxicological Domains to Support a Chemoinformatics Tool to Identify Chemicals Promoting Cholestatic Liver Injury

M. T. Cronin,S. J. Belfield,J. W. Firman,B. Hobocienski,T. Magdziarz,A. Mostrag-Szlichtyng,J. F. Rathman,J. V. Ribeiro,C. Yang

Toxicology Letters（2022）

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SOC-V-04 A High Throughput Screening Concept for Read-Across of a Large Inventory of Related Structures

J. Rathman,C. Yang,T. Magdziarz,A. Mostrag,B. Hobocienski,J. V. Ribeiro, S. Kulkarni,T. S. Barton-Maclaren

Toxicology Letters (2022): S64-S64

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Evaluation of Atmospheric Boundary Layer Height from Wind Profiling Radar and Slab Models and Its Responses to Seasonality of Land Cover, Subsidence, and Advection

Camilo Rey-Sanchez,Sonia Wharton,Jordi Vila-Guerau de Arellano,Kyaw Tha U. Paw,Kyle S. Hemes,Jose D. Fuentes,Jessica Osuna,Daphne Szutu,Joao Vinicius Ribeiro,Joseph Verfaillie,Dennis Baldocchi

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES（2021）

Cited14Views0Bibtex

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