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121

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Angelopoulos, Anastasios N. ; Bates, Stephen

Computer Science - Machi... Computer Science - Artif... Mathematics - Statistics... Statistics - Methodology Statistics - Machine Lea...
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122

Comparative analysis of machine learning models in predicting loss to follow-up: The case of tuberculosis in Bogotá
Guerrero, Diana Azucena ; Rodríguez, Rubén Darío ; Guerrero, Diana Azucena ; et al.
Biomedica; Vol. 45 No. Sp (2025): Publicación anticipada, Medicina digital e inteligencia artificial en salud; Biomédica; Vol. 45 Núm. Sp (2025): Publicación anticipada, Medicina digital e inteligencia artificial en salud; 2590-7379; 0120-4157

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123

A high-bias, low-variance introduction to Machine Learning for physicists
Mehta, Pankaj ; Bukov, Marin ; Wang, Ching-Hao ; et al.

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124

Unified and Standardized Mass Spectrometry Data Processing in Python Using spectrum_utils
Wout Bittremieux ; Lev Levitsky ; Matteo Pilz ; et al.
Journal of proteome research

Proteomics 0301 basic medicine ddc:000 0206 medical engineering 02 engineering and techn... metabolomics …
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125

BREAST CANCER DETECTION WITH MACHINE LEARNING APPROACH
Sunday Samuel Olofintuyi
FUDMA JOURNAL OF SCIENCES. 7:216-222

0301 basic medicine Artificial intelligence Support vector machine Deep Learning in Medical... Linear discriminant anal... Health Professions …
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126

Predicting cardiovascular disease among diabetic patients in Ethiopia using machine learning models: evidence from Ethiopian public health Institute data (2024/2025).
Anteneh, Ashagrie ; Belachew, Muluken ; Birhanu, Sefefe ; et al.
BMC Public Health. 11/24/2025, Vol. 25 Issue 1, p1-11. 11p.

ETHIOPIA CARDIOVASCULAR diseases DIABETES ETHIOPIANS PUBLIC health BOOSTING algorithms …
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127

Big Data analytics. Three use cases with R, Python and Spark
Apprentissage sur Données Massives; trois cas d'usage avec R, Python et Spark.
Besse, Philippe ; Guillouet, Brendan ; Loubes, Jean-Michel ; et al.
Myriam MAUMY-BERTRAND, Gilbert SAPORTA,Christine THOMAS-AGNAN. Apprentissage Statistique et Données Massives, Technip, 2017, Journées d'Etudes en Statistisque

Data Science Machine Learning Statistics Big Data Analytics Apprentissage Machine Statistique …
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128

Quantifying post-treatment vascular remodeling in brain aneurysms using WEKA-based machine learning: a pilot study.
Rotim, Ante ; Raguž, Marina ; Fulir, Nikica ; et al.
Frontiers in Neurology; 2025, p1-10, 10p

VASCULAR remodeling MACHINE learning ANGIOGRAPHY DATA mining software NEUROVASCULAR surgery ENDOVASCULAR surgery …
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129

Machine learning-based multidimensional evaluation of the effectiveness of course civics teaching: a case study of the occupational health and occupational medicine course.
Zheng, Zhanyue ; Kang, Cheng ; Wang, Chengqiang ; et al.
Frontiers in Education; 2025, p1-12, 12p

MACHINE learning OCCUPATIONAL medicine STATISTICS ACADEMIC achievement EDUCATIONAL evaluation EDUCATIONAL objectives …
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130

Introduction to Deep Learning for Engineers: Using Python and Google Cloud Platform
Arif, Tariq M.
Synthesis Lectures on Mechanical Engineering ; volume 5, issue 3, page 1-109 ; ISSN 2573-3168 2573-3176

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131

A Hands-On Introduction to Machine Learning
Chirag Shah ; Chirag Shah

4. Education
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132

Artificial Intelligence Introduction and ‘AI’ Impacts in Economics
Priya Sharma
Journal Global Value. :65-74

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133

MRI-based brain tumour image detection using CNN based deep learning method
Chattopadhyay, Arkapravo ; Maitra, Mausumi
In Neuroscience Informatics December 2022 2(4)

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134

A statistical package for safe artificial intelligence
Babaei, Golnoosh ; Giudici, Paolo
Statistical Methods & Applications: Journal of the Italian Statistical Society. :1-19

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135

مدل‌سازی تبخیر – تعرق خیار گلخانه‌ای با استفاده از یادگیری ماشین: رویکرد جنگل تصادفی در مقابل ضرایب گیاهی سنتی و غیرخطی.
مرتضی خوش سیمای چ ; آرش تافته ; نیاز علی ابراهیم
Water & Soil Management & Modeling / Mudil Sazī va Mudīriyyat-i āb va Khāk. 2025, Vol. 5 Issue 2, p69-87. 19p.

CLIMATE in greenhouses WATER requirements for c... REGRESSION analysis SOIL moisture SOLAR radiation
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136

Social Network Analysis: From Graph Theory to Applications with Python
Goldenberg, Dmitri
2019. In the Third Israeli Python Conference (PyCon '19), Israel

Computer Science - Socia... Computer Science - Machi...
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137

Machine learning to identify lymph node metastasis from thyroid cancer in patients undergoing contrast-enhanced CT studies
Masuda, T. ; Nakaura, T. ; Funama, Y. ; et al.
In Radiography August 2021 27(3):920-926

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138

Integrated EMD-Enhanced Analysis and Neural Network Classification for Robust Processing of Motor Imagery EEG Signals
kumari, Annu ; Edla, Damodar Reddy
In Procedia Computer Science 2025 258:2018-2028

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139

Machine learning in orthodontics: Automated facial analysis of vertical dimension for increased precision and efficiency
Rousseau, Maxime ; Retrouvey, Jean-Marc
In American Journal of Orthodontics & Dentofacial Orthopedics March 2022 161(3):445-450

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140

Deep Learning Models explored with help of Python Programming
Editor IJSMI ; Editor IJSMI

Deep Learning Tensor Flow Python Pytorch
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