• Suche: Supervised Machine Learning with Python

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201

Enhanced AMD detection in OCT images using GLCM texture features with Machine Learning and CNN methods.
R L ; S L
Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE

Humans Algorithms Retina diagnostic imagin... Tomography, Optical Cohe... Macular Degeneration dia... Machine Learning …
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202

Study on predicting compressive strength of concrete using supervised machine learning techniques
Varma, B. Vamsi ; Prasad, E. V. ; Singha, Sudhakar
Asian Journal of Civil Engineering: Building and Housing. 24(7):2549-2560

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203

DETECTION OF UNHEALTHY WEBSITES USING MACHINE LEARNING.
Gbadamosi, O. A. ; Oduwale, A. M.
Coast Journal of the School of Science; May2025, Vol. 7 Issue 1, p981-988, 8p

UNIFORM Resource Locator... MACHINE learning SOCIAL engineering (Frau... SUPERVISED learning INTERNET sales
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204

Enhancing malware detection and classification in network traffic using deep learning techniques.
Tambewagh, Pratibha Amol ; Ingle, Dayanand
Journal of Forensic Sciences. Nov2025, p1. 18p. 13 Illustrations.

DEEP learning MALWARE GRAPH neural networks REAL-time computing COMPUTER network traffic ANOMALY detection (Compu... …
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205

Machine Learning–Based Prediction of Chronic Shunt-Dependent Hydrocephalus After Spontaneous Subarachnoid Hemorrhage.
Gollwitzer, Maria ; Steindl, Markus ; Stroh, Nico ; et al.
World Neurosurgery. Dec2024, Vol. 192, pe124-e133. 10p.

SUPERVISED learning RECEIVER operating chara... MACHINE learning SUBARACHNOID hemorrhage CENTRAL nervous system i...
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206

Comparison of result of machine learning algorithms in predicting heart disease.
Yousefi, Sajad ; Poornajaf, Maryam
Frontiers in Health Informatics; 2023, Vol. 12, p1-10, 10p

MACHINE learning SUPERVISED learning HEART diseases RANDOM forest algorithms PYTHON programming langu... HEART disease diagnosis
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207

Fundamentals of Supervised Machine Learning ; With Applications in Python, R, and Stata
Cerulli, Giovanni
Statistics and Computing ; ISSN 1431-8784 2197-1706 ; ISBN 9783031413360 9783031413377

Buch
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208

Exploring Practical Applications and Python Code Snippets for Supervised Machine Learning Classification Algorithms
Awe, O. Olawale ; Oladeji, Tolulope Adedoyin ; Adeyemo, Barnabas Timilehin ; et al.
STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health ; Sustainable Statistical and Data Science Methods and Practices ; page 213-246 ; ISSN 2520-193X 2520-1948 ; ISBN 9783031413513 9783031413520

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209

Fast Semi-supervised Unmixing using Non-convex Optimization
Rasti, Behnood ; Zouaoui, Alexandre ; Mairal, Julien ; et al.

sparse unmixing hyperspectral sparsity semi-supervised blind unmixing …
E-Ressource
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210

Predicting Treatment Outcomes in Patients with Drug-Resistant Tuberculosis and Human Immunodeficiency Virus Coinfection, Using Supervised Machine Learning Algorithm.
Hosu, Mojisola Clara ; Faye, Lindiwe Modest ; Apalata, Teke
Pathogens; Nov2024, Vol. 13 Issue 11, p923, 23p

SUPERVISED learning MACHINE learning COVID-19 pandemic TREATMENT effectiveness HIV
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211

Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry.
Doan M ; Barnes C ; McQuin C ; et al.
Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101284307 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1750-2799 (Electronic) Linking ISSN: 17502799 NLM ISO Abbreviation: Nat Protoc Subsets: MEDLINE

Software User-Computer Interface Deep Learning Image Cytometry methods Supervised Machine Learn...
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212

Automatic Sentiment Classification in Medical Texts Based on Rules and Supervised Machine Learning Algorithms: выпускная квалификационная работа магистра

обработка естественного... анализ тональности... machine learning sentiment analysis sentiment lexicons medical discourse …
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213

A MODEL FOR PREDICTING MALARIA OUTBREAK USING MACHINE LEARNING TECHNIQUE.
Stephen, Adebanji ; Akomolafe, Patrick O. ; Ogundoyin, Kazeem I.
Annals. Computer Science Series. 2021, Vol. 19 Issue 1, p9-15. 7p.

Nigeria Malaria Supervised learning Machine learning Python programming langu... Support vector machines …
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214

SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
Del Pup, Federico ; Zanola, Andrea ; Tshimanga, Louis Fabrice ; et al.

deep-learning self-supervised learning EEG
E-Ressource
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215

Comparative analysis of supervised machine learning algorithms for heart disease detection
Hector Daniel Huapaya ; Ciro Rodriguez ; Doris Esenarro
3C Tecnología_Glosas de innovación aplicadas a la pyme. :233-247

Artificial intelligence Machine Learning in Heal... 4. Education Health Professions 02 engineering and techn... Pattern recognition (psy... …
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216

Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models
Chen, Jie ; Han, Xintian ; Ma, Yu ; et al.

Computer Science - Softw... Computer Science - Artif... Computer Science - Machi...
Report
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217

A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP
Azib, Menouar ; Renard, Benjamin ; Garnier, Philippe ; et al.

FOS: Computer and inform... Computer Science - Machi... Machine Learning (cs.LG)
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218

Diabetes Control in China: Building a Supervised Machine Learning Diabetes Predictor based on living circumstances of Chinese citizen aged 45 and above.
Kabiraj, Sajal ; Kling, Nico ; Siddik, Md Nur Alam
International Journal of Business Insights & Transformation. Apr-Sep2020, Vol. 13 Issue 2, p68-73. 6p.

SUPERVISED learning HYPERGLYCEMIA SUPPORT vector machines DIABETES SIMPLE machines CHINA
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219

Thermal comfort prediction by applying supervised machine learning in green sidewalks of Tehran
Eslamirad, Nasim ; Malekpour Kolbadinejad, Soheil ; Mahdavinejad, Mohammadjavad ; et al.
Smart and Sustainable Built Environment, 2020, Vol. 9, Issue 4, pp. 361-374.

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220

Integrating and reporting full multi-view supervised learning experiments using SuMMIT
Bauvin, Baptiste ; Corbeil, Jacques ; Benielli, Dominique ; et al.
https://hal.science/hal-03845435 ; 2022.

Explainability Interpretability Multimodal Supervised Classification Benchmarking …
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