E-LIB Suche - Ergebnisse für: Stegherr, Helena

1

Assessing Model Requirements for Explainable AI: A Template..:

Heider, Michael ; Stegherr, Helena ; Nordsieck, Richard.
Artificial Life. 29 (2023) 4 - p. 468-486 , 2023

Link: https://doi.org/10.1162/..

2

SupRB in the context of rule-based machine learning methods..:

Heider, Michael ; Stegherr, Helena ; Sraj, Roman...
Applied Soft Computing. 147 (2023) - p. 110706 , 2023

Link: https://doi.org/10.1016/..

3

Fast, Flexible, and Fearless: A Rust Framework for the Modu..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,

Wurth, Jonathan ; Stegherr, Helena ; Heider, Michael.. - p. 1900-1909 , 2023

Link: https://dl.acm.org/doi/1..

4

Discovering Rules for Rule-Based Machine Learning with the ..:

Heider, Michael ; Stegherr, Helena ; Pätzel, David...
SN Computer Science. 4 (2023) 6 - p. , 2023

Link: https://doi.org/10.1007/..

5

Separating rule discovery and global solution composition i..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

Heider, Michael ; Stegherr, Helena ; Wurth, Jonathan.. - p. 248-251 , 2022

Link: https://dl.acm.org/doi/1..

6

A Metaheuristic Perspective on Learning Classifier Systems:

, In: Metaheuristics for Machine Learning; Computational Intelligence Methods and Applications,

Heider, Michael ; Pätzel, David ; Stegherr, Helena. - p. 73-98 , 2022

Link: https://doi.org/10.1007/..

7

Investigating the Impact of Independent Rule Fitnesses in a..:

, In: Lecture Notes in Computer Science; Bioinspired Optimization Methods and Their Applications,

Heider, Michael ; Stegherr, Helena ; Wurth, Jonathan.. - p. 142-156 , 2022

Link: https://doi.org/10.1007/..

8

Comparing different metaheuristics for model selection in a..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

Wurth, Jonathan ; Heider, Michael ; Stegherr, Helena.. - p. 316-319 , 2022

Link: https://dl.acm.org/doi/1..

9

Design of large-scale metaheuristic component studies:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,

Stegherr, Helena ; Heider, Michael ; Luley, Leopold. - p. 1217-1226 , 2021

Link: https://dl.acm.org/doi/1..

10

Classifying Metaheuristics: Towards a unified multi-level c..:

Stegherr, Helena ; Heider, Michael ; Hähner, Jörg
Natural Computing. 21 (2020) 2 - p. 155-171 , 2020

Link: https://doi.org/10.1007/..

11

Discovering rules for rule-based machine learning with the ..:

Heider, Michael ; Stegherr, Helena ; Pätzel, David...
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/109780. , 2023

Link: https://opus.bibliothek...

12

Assisting convergence behaviour characterisation with unsup..:

Stegherr, Helena ; Heider, Michael ; Hähner, Jörg
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/110315. , 2023

Link: https://opus.bibliothek...

13

Assessing model requirements for explainable AI: a template..:

Heider, Michael ; Stegherr, Helena ; Nordsieck, Richard.
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/109712. , 2023

Link: https://opus.bibliothek...

14

A framework for modular construction and evaluation of meta..:

Stegherr, Helena ; Luley, Leopold ; Wurth, Jonathan..
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/103452. , 2023

Link: https://opus.bibliothek...

15

Investigating the impact of independent rule fitnesses in a..:

Heider, Michael ; Stegherr, Helena ; Wurth, Jonathan..
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/103973. , 2022

Link: https://opus.bibliothek...