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1

Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach
Noei, Shayan ; Li, Heng ; Zou, Ying
ACM Transactions on Software Engineering and Methodology. 34(3):1-25

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2

Design and Python Simulation of Cross-border E-commerce Logistics Pathways Based on Machine Learning Algorithms
Liu, Jian ; Lei, Fei N/A ; Liu, Qi ; et al.
Proceedings of the International Conference on Image Processing, Machine Learning and Pattern Recognition. :627-633

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3

Libra: A Python-Level Tensor Re-Materialization Strategy for Reducing Deep Learning GPU Memory Usage
Wang, Ling-Sung ; Lin, Sao-Hsuan ; Chou, Jerry
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region. :142-152

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4

PyDivDyn: A High-Performance Python Toolkit for Machine Learning Analyses of Macro-Evolutionary
Zhu, Yiwu ; Chen, Changhan ; Liu, Weixin ; et al.
2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI) ICTAI Tools with Artificial Intelligence (ICTAI), 2025 IEEE 37th International Conference on. :173-180 Nov, 2025

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5

Enhancing Software Quality: Python Code Smell Detection using Machine Learning techniques and Refactoring Long Methods using Extract Method Algorithm
Uddin, Mohammed Sharraf ; Knobo, Kazi Zunayed Quader ; Ferdoshi, Jannatul ; et al.
Proceedings of the 2024 10th International Conference on Robotics and Artificial Intelligence. :93-102

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6

Floraspeak: Enhancing Flower Recognition and Text to Voice Integration using Python and Machine Learning
P, Anitha ; S, Yogasowdambika ; R, Geetha ; et al.
2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) Intelligent Cyber Physical Systems and Internet of Things (ICoICI), 2025 3rd International Conference on. :64-68 Sep, 2025

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7

Construction of deep learning model based on digital learning and innovation literacy -Take Python programming teaching as an example
Zou, Linying ; Chen, Daijiang
Proceedings of the 2024 International Symposium on Artificial Intelligence for Education. :634-638

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8

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]
Kreplin, D.A. ; Willmann, M. ; Schnabel, J. ; et al.
IEEE Software IEEE Softw. Software, IEEE. 42(5):65-72 Jan, 2025

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9

Comparative Analysis of Credit Card Approval Prediction Using Machine Learning in Python and PySpark
Qumsiyeh, Emma ; Shehadeh, Saja ; Ayesh, Aseel
2025 Innovations in Intelligent Systems and Applications Conference (ASYU) Intelligent Systems and Applications Conference (ASYU), 2025 Innovations in. :1-6 Sep, 2025

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10

Machine Learning Techniques for Python Source Code Vulnerability Detection
Farasat, Talaya ; Posegga, Joachim
Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy. :151-153

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11

AI-Based Optimization of Turbine Selection for Wind Farms Using Python and Machine Learning
Beniuga, Constantin Razvan ; Bedrule, Elena Bianca ; Machidon, Dragos-Lucian ; et al.
2025 International Conference on Electromechanical and Energy Systems (SIELMEN) Electromechanical and Energy Systems (SIELMEN), 2025 International Conference on. :674-678 Oct, 2025

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12

Detecting UPI Fraud Using Machine Learning Techniques in Python
Haleritti, Bhavana Ramesh ; S, Muneshwara M ; Kania, Jaymin ; et al.
2025 9th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS) Computational System and Information Technology for Sustainable Solutions (CSITSS), 2025 9th International Conference on. :1-6 Nov, 2025

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13

A Machine Learning for Anomaly and Data Breach Detection System Using Python
Vijitphu, Cherrita ; Utakrit, Nattavee
2025 IEEE International Conference on Cybernetics and Innovations (ICCI) Cybernetics and Innovations (ICCI), 2025 IEEE International Conference on. :1-6 Apr, 2025

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14

Comparative Study of Machine Learning Based Defect Prediction Models for Python Software
Harsh ; Santoshi, Harsh ; Singh, Priya
2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA) Inventive Research in Computing Applications (ICIRCA), 2025 6th International Conference on. :1867-1872 Jun, 2025

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15

Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks
Wang, Y. ; Meijer, W. ; Lopez, J.A.H. ; et al.
IEEE Transactions on Software Engineering IIEEE Trans. Software Eng. Software Engineering, IEEE Transactions on. 51(7):2181-2196 Jul, 2025

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16

Trading Simulation Using Python and Visualization on Streamlit with Machine Learning Decision Tree
Simanjuntak, Imelda ; Heriyant, Heriyanto ; Rochendi, Agus ; et al.
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications. :286-291

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17

The raise of machine learning hyperparameter constraints in Python code
Rak-amnouykit, Ingkarat ; Milanova, Ana ; Baudart, Guillaume ; et al.
Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis. :580-592

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18

Dynamic Inference of Likely Symbolic Tensor Shapes in Python Machine Learning Programs
Zheng, Dan ; Sen, Koushik
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice. :147-156

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19

AllMetrics: A Unified Python Library for Standardized Metric Evaluation in Machine Learning
Alizadeh, M. ; Oveisi, M. ; Falahati, S. ; et al.
2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), 2025 IEEE. :1-2 Nov, 2025

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20

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation
Ansel, Jason ; Yang, Edward ; He, Horace ; et al.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2. :929-947

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