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Machine Learning Modeling Predicting Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) Inhibitors Structure-Activity Relationships Using Quantum DFT Descriptors.

, , , , и . CLEI, стр. 1-9. IEEE, (2023)

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José Ignacio Zorzin

José Ignacio Barradas Bribiesca

José Ignacio Gutiérrez Díaz

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Humberto Jorge José

 

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Characterization of contour regularities based on the Levenshtein edit distance., и . Pattern Recognit. Lett., 32 (10): 1421-1427 (2011)Deep learning and multilingual sentiment analysis on social media data: An overview., , и . Appl. Soft Comput., (2021)A Review of Parallel Corpora for Automatic Text Simplification. Key Challenges Moving Forward., , и . NLDB, том 13913 из Lecture Notes in Computer Science, стр. 62-78. Springer, (2023)Machine Learning Modeling Predicting Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) Inhibitors Structure-Activity Relationships Using Quantum DFT Descriptors., , , , и . CLEI, стр. 1-9. IEEE, (2023)A New Editing Scheme Based on a Fast Two-String Median Computation Applied to OCR., и . SSPR/SPR, том 6218 из Lecture Notes in Computer Science, стр. 748-756. Springer, (2010)Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models., , и . IberLEF@SEPLN, том 3496 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Contour Regularity Extraction Based on String Edit Distance., и . IbPRIA, том 5524 из Lecture Notes in Computer Science, стр. 160-167. Springer, (2009)A Review of Research-Based Automatic Text Simplification Tools., , , , и . RANLP, стр. 321-330. INCOMA Ltd., Shoumen, Bulgaria, (2023)