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Title:
An efficient iterative algorithm to explainable feature learning
Authors:
ID
Vlahek, Dino
(
Author
)
Files:
6105-Article_Text-14555-17181-10-20240724.pdf
(97,19 KB)
MD5: AFFC46415B730A42DD2A9626874FB3B4
https://www.informatica.si/index.php/informatica/article/view/6105
Language:
English
Work type:
Article
Typology:
1.03 - Other scientific articles
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
This paper summarizes a doctoral thesis introducing the new iterative approach to explainable feature learning. Features are learned in three steps during each iteration: feature construction, evaluation, and selection. We demonstrated superior performances compared to the state of the art on 13 of 15 test cases and the explainability of the learned feature representation for knowledge discovery.
Keywords:
data classification
,
explainable artificial intelligence
,
feature learning
Publication status:
Published
Publication version:
Version of Record
Submitted for review:
23.04.2024
Publication date:
28.05.2024
Publisher:
Slovenian Society Informatika
Year of publishing:
2024
Number of pages:
str. 289-290
Numbering:
Vol. 48, iss. 2
PID:
20.500.12556/DKUM-96495
UDC:
004.6
ISSN on article:
0350-5596
COBISS.SI-ID:
204109315
Publication date in DKUM:
14.01.2026
Views:
222
Downloads:
3
Metadata:
Categories:
Misc.
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Record is a part of a journal
Title:
Informatica : an international journal of computing and informatics
Shortened title:
Informatica
Publisher:
Slovene Society Informatika
ISSN:
0350-5596
COBISS.SI-ID:
746244
Licences
License:
CC BY 3.0, Creative Commons Attribution 3.0 Unported
Link:
https://creativecommons.org/licenses/by/3.0/deed.en
Description:
You are free to reproduce and redistribute the material in any medium or format. You are free to remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Secondary language
Language:
Slovenian
Keywords:
klasifikacija podatkov
,
razložljiva umetna inteligenca
,
učenje funkcij
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