Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis

Autor: Erika Cantor, Rodrigo Salas, Harvey Rosas, Sandra Guauque-Olarte

Publikováno v: BioData Mining, Vol 14, Iss 1, Pp 1-11 (2021)

Abstract Background Calcific aortic valve stenosis (CAVS) is a fatal disease and there is no pharmacological treatment to prevent the progression of CAVS. This study aims to identify genes potentially implicated with CAVS in patients with congenital

Externí odkaz: https://doaj.org/article/162e33cf5e174b8fa93d1c9b9153c544

Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis

Autor: Harvey Rosas, Erika Cantor, Rodrigo Salas, Sandra Guauque-Olarte

Publikováno v: BioData Mining, Vol 14, Iss 1, Pp 1-11 (2021)
BioData Mining

Background Calcific aortic valve stenosis (CAVS) is a fatal disease and there is no pharmacological treatment to prevent the progression of CAVS. This study aims to identify genes potentially implicated with CAVS in patients with congenital bicuspid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c14a2e24a9f356376e46b77a896e5ec
https://doi.org/10.21203/rs.3.rs-490040/v1

A self-identification Neuro-Fuzzy inference framework for modeling rainfall-runoff in a Chilean watershed

Autor: Marvin Querales, Héctor Allende-Cid, Harvey Rosas, Rodrigo Salas, Yerel Morales

Publikováno v: Journal of Hydrology. 594:125910

Modeling the relationship between rainfall and runoff is an important issue in hydrology, but it is a complicated task because both the high levels of complexity in which both processes are embedded and the associated uncertainty, affect the forecast

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2196dbf0192f42104fdd1041fda5c5f6
https://doi.org/10.1016/j.jhydrol.2020.125910

Statistical Outlier Detection for Jury Based Grading Systems

Autor: Mary Kathryn Thompson, Line Clemmensen, Harvey Rosas

Publikováno v: Technical University of Denmark Orbit
Thompson, M K, Clemmensen, L K H & Rosas, H 2013, Statistical Outlier Detection for Jury Based Grading Systems . in 120th ASEE Annual Conference and Exhibition . American Society for Engineering Education, 120th ASEE Annual Conference and Exhibition, Atlanta, GA, United States, 23/06/2013 . < http://www.asee.org/public/conferences/20/papers/6423/download >

This paper presents an algorithm that was developed to identify statistical outliers from the scores of grading jury members in a large project-based first year design course. The background and requirements for the outlier detection system are prese

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::223c35500bccae631b61b0cea7cc206a
https://orbit.dtu.dk/en/publications/28d75841-e4c0-47a5-b869-88e1c05578b2