Marius Geitle
Marius Geitle
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα - Αρχική σελίδα
Παρατίθεται από
Παρατίθεται από
A comparative node evaluation model for highly heterogeneous massive‐scale Internet of Things‐Mist networks
A Shahraki, M Geitle, Ø Haugen
Transactions on Emerging Telecommunications Technologies, 2020
Improving differential evolution using inductive programming
M Geitle
A new baseline for automated hyper-parameter optimization
M Geitle, R Olsson
International Conference on Machine Learning, Optimization, and Data Science …, 2019
Using automatic programming to design improved variants of differential evolution
M Geitle, R Olsson
2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems …, 2017
A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost
A Shahraki, M Geitle, Ø Haugen
2019 4th International Conference on Smart and Sustainable Technologies …, 2019
Exploring the Hyperparameters of XGBoost Through 3D Visualizations.
OE Ørebæk, M Geitle
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021
Evaluating Population Based Training on Small Datasets
F Tennebø, M Geitle
2019: Norsk Informatikkonferanse, 2019
Improving competitive differential evolution using automatic programming
M Geitle, R Olsson
2017 4th International Conference on Systems and Informatics (ICSAI), 2018
IES 2017
B Vermeulen, BT Chie, SH Chen, A Pyka, CT Tran, M Zhang, P Andreae, ...
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