Digital Library of Zielona Góra contains 9 387 digital objects
Object
Title: Improving the performance of the feature drift detector by lasso observation of sample feature fluctuations
Contributor:
Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
Group publication title:
Abstract:
Feature drift is a subtype of data distribution drift that occurs when the statistical significance of input features changes over time, despite the overall decision boundary remaining stable. This phenomenon can cause a subtle degradation in model accuracy in streaming environments. In this paper, we propose a new model-aware method called "feature importance-driven drift detection" (FIDD). Rather than relying on classification error signals, FIDD tracks changes in feature importance rankings obtained from LASSO regression across neighbouring data fragments. ; As it observes the dynamics of feature importance instead of global label shifts, this method is particularly suited to detecting subtle shifts in data distribution. Experimental evaluation on both synthetic and Real-world data (including different types of drift, such as abrupt, gradual, incremental and recurrent) shows that FIDD achieves higher accuracy consistently and produces significantly fewer false alarms than standard drift detectors (e.g., DDM, EDDM and ADWIN). Furthermore, FIDD is robust to labelling noise and computationally efficient, which makes it a practical and interpretable solution for adaptive learning in real-time applications.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, volume 35, number 4 (2025) ; click here to follow the link
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2025)
Last modified:
Mar 30, 2026
In our library since:
Mar 30, 2026
Number of object content hits:
0
All available object's versions:
https://zbc.uz.zgora.pl/repozytorium/publication/105980
Show description in RDF format:
Show description in OAI-PMH format:
-
-
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 1 (2025)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 2 (2025)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 3 (2025)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 4 (2025)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
| Edition name | Date |
|---|---|
| Improving the performance of the feature drift detector by lasso observation of sample feature fluctuations | Mar 30, 2026 |
Objects Similar
Kusy, Maciej Zajdel, Roman Kusy, Maciej - ed. Scherer, Rafał - ed. Krzyżak, Adam - ed.
Muszyński, Michał Osowski, Stanisław Abaev, Pavel - ed. Razumchik, Rostislav - ed. Kołodziej, Joanna - ed.
Domino, Krzysztof Gawron, Piotr Gamper, Johann - ed. Wrembel, Robert - ed.
Paradowski, Mariusz Byrski, Aleksander - ed. Kisiel-Dorohinicki, Marek - ed. Dobrowolski, Grzegorz - ed.
Bodyanskiy, Yevgeniy V. Tyshchenko, Oleksii K. Kulczycki, Piotr - ed. Kacprzyk, Janusz - ed. Kóczy, László T. - ed. Mesiar, Radko - ed.
Biedrzycki, Rafał Arabas, Jarosław Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Świniarski, Roman W. Grzymala-Busse, Jerzy - ed. Świniarski, Roman W. - ed. Zhong, Ning - ed. Ziarko, Wojciech - ed.
Porwik, Piotr Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
