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1 |
Reinforced Concrete Beams Torsional Capacity: Application of Coupled Random Forests Analysis
Enthalten in International journal of pavement research & technology 15.7.2025: 1-15
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2 |
Mixed-integer linear optimization for cardinality-constrained random forests
Enthalten in Optimization letters 10.5.2025: 1-19
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3 |
Exploring the predictors of the populist vote using random forests
Enthalten in Quality & quantity 11.2.2025: 1-34
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4 |
A Systematic Comparison of Horizontal Federated Learning Algorithm Based on Random Forests in a Medical Setting
Enthalten in Machine intelligence research 7.1.2025: 1-13
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5 |
Comparing durability and compressive strength predictions of hyperoptimized random forests and artificial neural networks on a small dataset of concrete containing nano SiO2 and RHA
Arasteh-Khoshbin, Omolbanin. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2024
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6 |
First-Fit Coloring of Forests in Random Arrival Model
Bosek, Bartłomiej. - Wadern : Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024
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7 |
Random forests for survival data: which methods work best and under what conditions?
Enthalten in The international journal of biostatistics Bd. 20, 2024, Nr. 2: 315-345. 31 S.
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8 |
Seeing the wood for the trees: predictive margins for random forests
Enthalten in Corpus linguistics and linguistic theory Bd. 20, 2024, Nr. 1: 153-181. 29 S.
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9 |
Erratum to “Random forest and artificial neural network-based tsunami forests classification using data fusion of Sentinel-2 and Airbus Vision-1 satellites: A case study of Garhi Chandan, Pakistan”
Enthalten in Open Geosciences Bd. 16, 2024, Nr. 1. 1 S.
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10 |
Random forest and artificial neural network-based tsunami forests classification using data fusion of Sentinel-2 and Airbus Vision-1 satellites: A case study of Garhi Chandan, Pakistan
Enthalten in Open Geosciences Bd. 16, 2024, Nr. 1. 25 S.
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