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Pätzel, David
61  Ergebnisse:
Personensuche X
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1

Measuring Similarities in Model Structure of Metaheuristic ..:

, In: Applications of Evolutionary Computation; Lecture Notes in Computer Science,
Pätzel, David ; Nordsieck, Richard ; Hähner, Jörg - p. 256-272 , 2024
Link: https://doi.org/10.1007/..
 
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2

Towards Principled Synthetic Benchmarks for Explainable Rul..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
Pätzel, David ; Heider, Michael ; Hähner, Jörg - p. 1657-1662 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Deep Q-Network Updates for the Full Action-Space Utilizing ..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
von Pilchau, Wenzel Pilar ; Patzel, David ; Stein, Anthony. - p. 1-9 , 2023
Link: https://doi.org/10.1109/..
 
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4

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/..
 
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5

Weighted Mutation of Connections To Mitigate Search Space L..:

, In: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms,
Cui, Henning ; Pätzel, David ; Margraf, Andreas. - p. 50-60 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

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/..
 
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7

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/..
 
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8

A Learning Classifier System for Automated Test Case Priori..:

Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony.
SN Computer Science.  3 (2022)  5 - p. , 2022
Link: https://doi.org/10.1007/..
 
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9

The Bayesian learning classifier system : implementation..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Pätzel, David ; Hähner, Jörg - p. 413-421 , 2022
Link: https://dl.acm.org/doi/1..
 
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10

An overview of LCS research from 2021 to 2022:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Heider, Michael ; Pätzel, David ; Wagner, Alexander R. M. - p. 2086-2094 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

Correction: A Learning Classifier System for Automated Test..:

Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony.
SN Computer Science.  3 (2022)  6 - p. , 2022
Link: https://doi.org/10.1007/..
 
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12

An overview of LCS research from 2020 to 2021:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Pätzel, David ; Heider, Michael ; Wagner, Alexander R. M. - p. 1648-1656 , 2021
Link: https://dl.acm.org/doi/1..
 
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13

Transfer Learning for Automated Test Case Prioritization Us..:

, In: Applications of Evolutionary Computation; Lecture Notes in Computer Science,
Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony. - p. 681-696 , 2021
Link: https://doi.org/10.1007/..
 
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14

An Organic Computing System for Automated Testing:

, In: Architecture of Computing Systems; Lecture Notes in Computer Science,
Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony. - p. 135-149 , 2021
Link: https://doi.org/10.1007/..
 
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15

XCS as a reinforcement learning approach to automatic test ..:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion,
Rosenbauer, Lukas ; Stein, Anthony ; Maier, Roland.. - p. 1798-1806 , 2020
Link: https://dl.acm.org/doi/1..
 
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