• Suche: Supervised Machine Learning with Python

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141

Cheminformatic Identification of Tyrosyl-DNA Phosphodiesterase 1 (Tdp1) Inhibitors: A Comparative Study of SMILES-Based Supervised Machine Learning Models.
Lai, Conan Hong-Lun ; Kwok, Alex Pak Ki ; Wong, Kwong-Cheong
Journal of Personalized Medicine. Sep2024, Vol. 14 Issue 9, p981. 21p.

ARTIFICIAL neural networ... MACHINE learning SUPERVISED learning MOLECULAR structure RANDOM forest algorithms ONCOLOGY
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142

Breast cancer prediction using supervised machine learning techniques
Pankaj Dadheech ; Vijay Kalmani ; Sanwta Ram Dogiwal ; et al.
Journal of Information and Optimization Sciences. 44:383-392

3. Good health
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143

CodPy: a Python library for numerics, machine learning, and statistics
LeFloch, Philippe G. ; Mercier, Jean-Marc ; Miryusupov, Shohruh ; et al.

E-Ressource
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144

Benchmarking Assessment of Supervised Machine Learning Algorithms of K-Nearest Neighbor, Random Forest, Decision Tree and Its Variants Based On Efficiency and Performance Metrics.
ABDULLAHI, Y. Y. ; NUR, A. S. ; SALE, A.
Journal of Applied Sciences & Environmental Management. Mar2025, Vol. 29 Issue 3, p799-805. 7p.

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145

Antilogic, a new supervised machine learning software for the automatic interpretation of antibiotic susceptibility testing in clinical microbiology: proof-of-concept on three frequently isolated bacterial species
Rajaonison, Andriamiharimamy ; Le Page, Stéphanie ; Maurin, Thomas ; et al.
In Clinical Microbiology and Infection September 2022 28(9):1286-1286

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146

Review on fake news detection system using different optimization techniques.
Modhe, Yogesh Sopan ; Bhanudas, Kshirsagar Dhananjay
AIP Conference Proceedings. 2025, Vol. 3175 Issue 1, p1-13. 13p.

MACHINE learning SUPERVISED learning FAKE news FEATURE extraction MATHEMATICAL optimizatio... NATURAL language process...
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147

Improved Supervised Learning-Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests
Sruthi M. Krishna Moorthy ; Kim Calders ; Matheus B. Vicari ; et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
IEEE Transactions on Geoscience and Remote Sensing

tropical forests Measurement by laser bea... Vegetation LiDAR Leaf versus wood separat... Data models …
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148

Enhancing False News Detection through Supervised Machine Learning and NLP Techniques: A Comparative Study of Feature Extraction and Selection Methods Using Python Scikit-Learn
Sikarwar, Shailendra Singh ; Kumar Babubhai Patel, Chintan ; Dhanjibhai, Patel Urvashi ; et al.
2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N) ; page 1361-1366

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149

PHOTONAI—A Python API for rapid machine learning model development
Ramona Leenings ; Nils Ralf Winter ; Lucas Plagwitz ; et al.
PLoS One
PLoS ONE, Vol 16, Iss 7, p e0254062 (2021)

Optimization FOS: Computer and inform... Computer Science - Machi... Science 610 Medicine and health Datasets as Topic …
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150

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151

Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review.
Alalawi, Khalid ; Athauda, Rukshan ; Chiong, Raymond
Engineering Reports; Dec2023, Vol. 5 Issue 12, p1-25, 25p

MACHINE learning SUPERVISED learning SCHOOL dropouts FEATURE selection SUPPORT vector machines LEARNING management syst... …
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152

Applying Machine Learning Algorithms for Analyzing and predicting Agriculture (Crops) Performance with many types of fertilizer and temperature, humidity, rainfall.
Kumar, Raushan ; Kumar, Vikram ; Sarkar, Bikramjit
International Scientific Journal of Engineering & Management; May2025, Vol. 4 Issue 5, p1-7, 7p

SUPERVISED learning MACHINE learning ARTIFICIAL intelligence SCIENTIFIC computing SCIENTIFIC language
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153

Machine learning approach to predict the dot gain of flexographic prints.
Basak, Soumen ; P. C., Saritha ; Maity, Alenrex ; et al.
Acta Graphica; Apr2025, Vol. 33 Issue 1, p34-43, 10p

COMPUTATIONAL learning t... SUPERVISED learning MACHINE learning RANDOM forest algorithms DECISION trees
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154

Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making.
Duranteau O ; Popoff B ; Abels A ; et al.
Publisher: BMJ Publishing Country of Publication: England NLM ID: 101745500 Publication Model: Electronic Cited Medium: Internet ISSN: 2632-1009 (Electronic) Linking ISSN: 26321009 NLM ISO Abbreviation: BMJ Health Care Inform Subsets: MEDLINE

Humans Biomarkers blood Male Female Middle Aged Fibrinogen analysis …
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155

Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various machine learning techniques
Dehestani, A. ; Kazemi, F. ; Abdi, R. ; et al.
In Engineering Fracture Mechanics December 2022 276 Part B

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156

A fault detection strategy for an ePump during EOL tests based on a knowledge-based vibroacoustic tool and supervised machine learning classifiers
Borriello, Pasquale ; Tessicini, Fabrizio ; Ricucci, Giuseppe ; et al.
Meccanica. 59:279-304

0202 electrical engineer... 02 engineering and techn... 0201 civil engineering
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157

CLASSIFYING THE SUPERVISED MACHINE LEARNING AND COMPARING THE PERFORMANCES OF THE ALGORITHMS
Rathindra Nath Mohalder ; Md. Alam Hossain ; Nazmul Hossain
International Journal of Advanced Research. 12:422-438

03 medical and health sc... 0302 clinical medicine
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158

SUSI: SUpervised Self-organIzing maps in Python
Riese, Felix M.

Self-Organizing Maps Machine Learning Unsupervised Learning Supervised Learning Python ddc:550 …
Buch
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159

Transforming Low-Resolution CORINE Data into High-Resolution Landscape Maps with Semi-Supervised Deep Learning
Krishnagopal Halder ; Amit Kumar Srivastava ; Kaushik Muduchuru ; et al.

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160

Machine learning-based prediction of optimal antenatal care utilization among reproductive women in Nigeria
Sani, Jamilu ; Oluwagbemiga, Adeyemi ; Ahmed, Mohamed Mustaf
In Machine Learning with Applications September 2025 21

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