( en | de | ru )

 

Disambiguation of "Méndez, José Ramón"

Author of the publication

copydeleteadd this publication to your clipboard
A multiple classifier system identifies novel cannabinoid CB2 receptor ligands.

, , , , , , , , and . J. Cheminformatics, 11 (1): 66:1-66:14 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

José Armando Díaz Méndez

José Miguel Méndez Alcaraz

José Ramón Fernández Alvarez

José Antonio Mendez

Laura Ramón Giménez

 

Other publications of authors with the same name

Intelligent systems for detecting and filtering spam e-mail: a survey., , , and . Inteligencia Artif., 11 (34): 63-81 (2007)Applying lazy learning algorithms to tackle concept drift in spam filtering., , , , and . Expert Syst. Appl., 33 (1): 36-48 (2007)Optimising anti-spam filters with evolutionary algorithms., , , and . Expert Syst. Appl., 40 (10): 4010-4021 (2013)The bdpar Package: Big Data Pipelining Architecture for R., , , and . R J., 13 (1): 130 (2021)Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification., , , , and . Appl. Soft Comput., 12 (11): 3671-3682 (2012)A multiple classifier system identifies novel cannabinoid CB2 receptor ligands., , , , , , , , and . J. Cheminformatics, 11 (1): 66:1-66:14 (2019)Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing., , , , , , , , , and 1 other author(s). IWANN (2), volume 5518 of Lecture Notes in Computer Science, page 954-963. Springer, (2009)BioDR: Semantic indexing networks for biomedical document retrieval., , , , , , , , , and 1 other author(s). Expert Syst. Appl., 37 (4): 3444-3453 (2010)SDAI: An integral evaluation methodology for content-based spam filtering models., , , and . Expert Syst. Appl., 39 (16): 12487-12500 (2012)Managing irrelevant knowledge in CBR models for unsolicited e-mail classification., , , , and . Expert Syst. Appl., 36 (2): 1601-1614 (2009)