• Suche: Supervised Machine Learning with Python

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61

Hybrid Newton method for the acceleration of well event handling in the simulation of CO2 storage using supervised learning
Lechevallier, Antoine ; Desroziers, Sylvain ; Faney, Thibault ; et al.
In Computers and Geosciences March 2025 197

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62

Diabetes and heart disease prediction using machine learning classifiers based on Weka, python.
Islam, Md. Monirul ; Rahman, Md Shohanur ; Siddique, Md. Nahid ; et al.
AIP Conference Proceedings. 2023, Vol. 2855 Issue 1, p1-8. 8p.

PYTHON programming langu... SUPERVISED learning HEART diseases MACHINE learning CARDIAC patients DATA analytics
Konferenz
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63

Scikit-learn: Machine Learning in Python
Pedregosa, Fabian ; Varoquaux, Gaël ; Gramfort, Alexandre ; et al.
Journal of Machine Learning Research, 2011

Python supervised learning unsupervised learning model selection Python; supervised learn... [INFO.INFO-LG]Computer S... …
Zeitschrift
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64

Algorithmic fairness analyses of supervised machine learning in education
Analyses de l'équité algorithmique pour l'apprentissage automatique en éducation
Verger, Mélina ; Modèles et Outils informatiques Centrés Apprentissage Humain (MOCAH) ; LIP6 ; et al.
Machine Learning [cs.LG]. Sorbonne Université, 2024. English. ⟨NNT : 2024SORUS600⟩

Algorithmic fairness Machine learning Education Sensitive attributes Intersectionality Unfairness mitigation …
Dissertation
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65

Interpretability of automated machine learning methods in psychological research: A tutorial with AutoGluon in Python.
Fu, Haojie ; Zhao, Xudong
Behavior Research Methods. Nov2025, Vol. 57 Issue 11, p1-16. 16p.

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66

PlanktonFlow : hands-on deep-learning classification of plankton images for biologists
Walter, Hugo ; Gorzerino, Caroline ; Collinet, Marc ; et al.

Computer vision Image cl... Computer vision Image classification Python Plankton Classification [SDE.BE]Environmental Sc... …
E-Ressource
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67

Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions.
Samadi, Moein E. ; Mirzaieazar, Hedieh ; Mitsos, Alexander ; et al.
BMC Bioinformatics. 4/20/2024, Vol. 25 Issue 1, p1-19. 19p.

PYTHON programming langu... SUPERVISED learning MACHINE learning PRIOR learning CLASSIFICATION OPTIMAL stopping (Mathem...
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68

PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning
Shirian, Melika ; Vadaei, Kianoosh ; Majlessi, Kian ; et al.

Machine Learning Multimedia
Report
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69

Analysis of performance metrics of heart failured patients using Python and machine learning algorithms
Sanni, Rachana R ; Guruprasad, H.S.
In Global Transitions Proceedings November 2021 2(2):233-237

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70

Rician Likelihood Loss for Quantitative MRI With Self‐Supervised Deep Learning
Christopher S. Parker ; Anna Schroder ; Sean C. Epstein ; et al.
NMR in Biomedicine. 38

Machine Learning Computational Engineerin... FOS: Computer and inform... Computational Engineerin... FOS: Biological sciences Image and Video Processi... …
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71

problexity—An open-source Python library for supervised learning problem complexity assessment.
Komorniczak, Joanna ; Ksieniewicz, Paweł
Neurocomputing. Feb2023, Vol. 521, p126-136. 11p.

SUPERVISED learning PYTHON programming langu... MACHINE learning COMMUNITIES LEARNING communities C++
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72

Process parameter optimization of 6061AA Friction Stir Welded Joints using Supervised Machine Learning Regression-based Algorithms
Akshansh Mishra ; Eyob Meseele Sefene ; Assefa Asmare Tsegaw
Journal of Soft Computing in Civil Engineering, Vol 6, Iss 1, Pp 127-137 (2022)

python Technology 0209 industrial biotechn... machine learning aa6061 0203 mechanical engineer... …
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73

Development of A Machine Learning Based Chess Game in Python
Dwi Hastuti ; WILDAN Surya Wijaya
BEST : Journal of Applied Electrical, Science, & Technology. 7:21-28

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74

Algorithm-agnostic significance testing in supervised learning with multimodal data.
Kook, Lucas ; Lundborg, Anton Rask
Briefings in Bioinformatics. Nov2024, Vol. 25 Issue 6, p1-8. 8p.

MACHINE learning FALSE positive error SUPERVISED learning INFERENTIAL statistics RANDOM forest algorithms
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75

Lagged predictors of psychological capital in junior high school students: A supervised Machine Learning approach
Perinelli, E ; Stella, M ; Bizzego, A. ; et al.
International Journal of Behavioral Development.

Psychological capital individual differences longitudinal studies junior high school stude... machine learning eXplainable Artificial I...
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76

Optimizing Sample Size for Supervised Machine Learning with Bulk Transcriptomic Sequencing: A Learning Curve Approach
Qi, Yunhui ; Wang, Xinyi ; Qin, Li-Xuan

Statistics - Methodology Quantitative Biology - G...
Report
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77

Prognostic Modeling for Brain Cancer Patient Survival using Advanced Supervised Machine Learning Classification Approaches
Onur Dirican ; Abbas ali Husseini ; Fatma Husseini ; et al.
Voprosy onkologii. 71

Adult Male Genotype Survival Protein Expression Decision Tree …
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78

A Comparative Analysis and Implementation of Supervised Machine Learning Models for Gui-Based Heart Disease Prediction
Noor Asyikin Sulaiman ; Hazman Haizaini Mohamad ; Azdiana Md Yusop ; et al.
International Journal of Research and Innovation in Social Science. :4969-4977

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79

On Evaluating IoT Data Trust via Machine Learning.
Tadj, Timothy ; Arablouei, Reza ; Dedeoglu, Volkan
Future Internet. Sep2023, Vol. 15 Issue 9, p309. 17p.

Machine learning Internet of things Tags (Metadata) Cluster analysis (Statis... Trust Supervised learning …
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