Cancer Classification through a Hybrid Machine Learning Approach.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

278 Downloads (Pure)

Original language	English
Title of host publication	Best Paper Award at The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies
Publisher	IARIA
Pages	20-27
ISBN (Electronic)	978-1-61208-792-4
Publication status	Published - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Best Paper Award
Amiri Souri, E. (Recipient) & Tsoka, S. (Recipient), 2020
Prize: Prize (including medals and awards)

@inbook{44bd494b810742768b33a4f3b6e0beef,

title = "Cancer Classification through a Hybrid Machine Learning Approach.",

keywords = "Machine Learning (ML), cancer genomics, Deep Learning",

author = "\{Amiri Souri\}, Elmira and Sophia Tsoka",

year = "2020",

language = "English",

pages = "20--27",

booktitle = "Best Paper Award at The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies",

publisher = "IARIA",

}

TY - CHAP

T1 - Cancer Classification through a Hybrid Machine Learning Approach.

AU - Amiri Souri, Elmira

AU - Tsoka, Sophia

PY - 2020

Y1 - 2020

KW - Machine Learning (ML)

KW - cancer genomics

KW - Deep Learning

M3 - Conference paper

SP - 20

EP - 27

BT - Best Paper Award at The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies

PB - IARIA

ER -