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Conference

Design space exploration of HPC systems with Random Forest-based Bayesian Optimization

Subjects: Automated Design Space Exploration; Bayesian Optimization; High-Performance ComputingMunich; Germany

  • Source: RAPIDO '24 - Proceedings of the 16th Workshop on Rapid Simulation and Performance Evaluation for Design Optimization: Methods and Tools ; RAPIDO '24: the 16th Workshop on Rapid Simulation and

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Conference

Design space exploration of HPC systems with Random Forest-based Bayesian Optimization

Subjects: Automated Design Space Exploration; Bayesian Optimization; High-Performance ComputingMunich; Germany

  • Source: RAPIDO '24 - Proceedings of the 16th Workshop on Rapid Simulation and Performance Evaluation for Design Optimization: Methods and Tools ; RAPIDO '24: the 16th Workshop on Rapid Simulation and

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Academic Journal

Relations between composition of fishes and hydromorphological variables in a very large river ; Halak fajkompozíciója és hidromorfológiai változók közötti összefüggések a Duna magyarországi szakaszán

Subjects: Ecohydrology; Machine Learning; fish-habitat relations

  • Source: Hungarian Journal of Hydrology; Vol. 104 No. 2/HU (2024): Hungarian Journal of Hydrology; 4-15 ; Hidrológiai Közlöny; Évf. 104 szám 2/HU (2024): Hidrológiai Közlöny; 4-15 ; 2939-8495 ;

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Academic Journal

Perbandingan Algoritma Pohon dengan Beberapa Skenario Pelabelan untuk Analisis Sentimen pada Aplikasi Milik Pemerintah/BUMN

Subjects: Analisis Sentimen; Decision Tree; Double Random Forest

  • Source: JEPIN (Jurnal Edukasi dan Penelitian Informatika); Vol 10, No 1 (2024): Volume 10 No 1; 24 - 32 ; 2548-9364 ; 2460-0741 ; 10.26418/jp.v10i1

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Academic Journal

Modeling arsenic in European topsoils with a coupled semiparametric (GAMLSS-RF) model for censored data

Subjects: Conceptualization; Methodology; Software

  • Source: ISSN: 0160-4120 ; Environment International ; https://hal.science/hal-04489540 ; Environment International, In press, pp.108544. ⟨10.1016/j.envint.2024.108544⟩.

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Academic Journal

Modeling arsenic in European topsoils with a coupled semiparametric (GAMLSS-RF) model for censored data

Subjects: Conceptualization; Methodology; Software

  • Source: ISSN: 0160-4120 ; Environment International ; https://hal.science/hal-04489540 ; Environment International, In press, pp.108544. ⟨10.1016/j.envint.2024.108544⟩.

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Academic Journal

Modeling arsenic in European topsoils with a coupled semiparametric (GAMLSS-RF) model for censored data

Subjects: Conceptualization; Methodology; Software

  • Source: ISSN: 0160-4120 ; Environment International ; https://hal.science/hal-04489540 ; Environment International, In press, pp.108544. ⟨10.1016/j.envint.2024.108544⟩.

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Academic Journal

Alzheimer image registration using hybrid random forest and deep regression network algorithm

Subjects: Classification algorithm; Deep regression network; Hybrid random forest

  • Source: Indonesian Journal of Electrical Engineering and Computer Science; Vol 33, No 2: February 2024; 824-831 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v33.i2

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