Negative Selection in Classification using DBLOSUM Matrices as Affinity Function

Adil Ibrahim; Nicholas K. Taylor

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Negative Selection in Classification using DBLOSUM Matrices as Affinity Function

Topics: Data Mining; Machine Learning

In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, 55-62, 2022

Authors: Adil Ibrahim and Nicholas K. Taylor

Affiliation: Department of Computer Science, Heriot-Watt University, Edinburgh, U.K.

Keyword(s): Negative Selection, Affinity Function, Distance Measure, BLOSUM, Immune Algorithm, Artificial Immune Systems.

Abstract: This paper presents a novel affinity function for the Negative Selection based algorithm in binary classification. The proposed method and its classification performance are compared to several classifiers using different datasets. One of the binary classification problems includes medical testing to determine if a patient has a particular disease or not. The DBLOSUM in Negative Selection classifier appears to be best suited to classification tasks where false negatives pose a major risk, such as in medical screening and diagnosis. It is more likely than most techniques to result in false positives, but it is as accurate, if not more accurate than most other techniques.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.144.253.161

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Ibrahim, A. and Taylor, N. (2022). Negative Selection in Classification using DBLOSUM Matrices as Affinity Function. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 55-62. DOI: 10.5220/0010771100003116

@conference{icaart22,
author={Adil Ibrahim. and Nicholas K. Taylor.},
title={Negative Selection in Classification using DBLOSUM Matrices as Affinity Function},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2022},
pages={55-62},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010771100003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Negative Selection in Classification using DBLOSUM Matrices as Affinity Function
SN - 978-989-758-547-0
IS - 2184-433X
AU - Ibrahim, A.
AU - Taylor, N.
PY - 2022
SP - 55
EP - 62
DO - 10.5220/0010771100003116
PB - SciTePress