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1

A machine learning-based genetic programming algorithm for the stochastic resource-constrained project scheduling problem with 3D workspaces and carbon emissions.
Liu, Hao ; Zhang, Jingwen ; Demeulemeester, Erik ; et al.
International Journal of Production Research. Nov2025, p1-25. 25p. 8 Illustrations.

RESOURCE allocation PRODUCTION scheduling MACHINE learning GENETIC programming REINFORCEMENT learning STOCHASTIC programming …
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2

A Novel General Feature Enhancement Method Based on Genetic Programming for Improving RF Circuit Fault Diagnosis Using Machine Learning
Wu, Kunping ; Long, Bing ; Bu, Zhiyuan ; et al.
Circuits, Systems, and Signal Processing. 44(12):8877-8900

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3

A Machine Learning Approach for Predicting Student Progress in Online Programming Education
Zhang, Vincent ; Jeffries, Bryn ; Koprinska, Irena
International Journal of Artificial Intelligence in Education: Official Journal of the International AIED Society. 35(6):3614-3644

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5

What Are the Differences between Student and ChatGPT-Generated Pseudocode? Detecting AI-Generated Pseudocode in High School Programming Using Explainable Machine Learning
Zifeng Liu ; Wanli Xing ; Xinyue Jiao ; et al.
40

High School Students Coding Artificial Intelligence Electronic Learning Identification Plagiarism …
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6

A novel machine-learning rolling horizon heuristic for dynamic lot-sizing and job shop scheduling problems.
Zeiträg, Yannik ; Figueira, José Rui
International Journal of Production Research. Jun2025, Vol. 63 Issue 12, p4563-4589. 27p.

PRODUCTION planning MATHEMATICAL programming ECONOMIC lot size PRODUCTION scheduling GENETIC programming STOCHASTIC programming …
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7

Applying Gaussian Process Machine Learning and Modern Probabilistic Programming to Satellite Data to Infer CO2 Emissions
Jeong, Seongeun ; Hamilton, Sofia D. ; Johnson, Matthew S. ; et al.
Environmental Science & Technology. 59(9):4376-4387

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8

DeepFlow: A Flow-Based Visual Programming Tool for Deep Learning Development
Calò, Tommaso ; De Russis, Luigi
Proceedings of the 30th International Conference on Intelligent User Interfaces. :504-518

Visual Programming Tools Deep Learning Neural Network Design Interactive Debugging Model Scalability User Experience …
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9

Enhancing the students’ perception of machine learning methods-based drug formulation using R_programming educational protocols
Hathout, Rania M. ; Ibrahim, Shaimaa S.
Future Journal of Pharmaceutical Sciences. 11(1)

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10

Fast weight programming and linear transformers: from machine learning to neurobiology
Irie, Kazuki ; Gershman, Samuel J.

Machine Learning Artificial Intelligence Neurons and Cognition
Report
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11

A deep learning approach for solving linear programming problems
Wu, Dawen ; Lisser, Abdel ; Laboratoire des signaux et systèmes (L2S) ; et al.
Neurocomputing. 520:15-24

Linear programming ODE s... Linear programming ODE systems Neural networks Deep learning [INFO]Computer Science [... …
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12

Exploring the Landscape of Programming Language Identification With Machine Learning Approaches
Amandeep Verma ; Rahul Saha ; Gulshan Kumar ; et al.
IEEE Access, Vol 13, Pp 23556-23579 (2025)

machine learning software code detection Electrical engineering.... Programming language …
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14

Machine Learning and Genetic Programming to Enhance Diagnosis and Prognosis in Breast Cancer Care
Moreira, Catarina Natário ; Vanneschi, Leonardo ; RUN

Breast Cancer Diagnostic Prognostic Artificial Intelligence Machine Learning Genetic Programming …
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16

Visualization of Methods of Machine Learning. GUI Programming
N.O. Shesterin
Scientific Visualization. 18:123-136

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17

Conceptual framework for assessing corporate economic security through the integration of programming and machine learning techniques
Irina R. RUIGA ; Aleksei I. SMIRNOV ; Yurii A. TETERIN ; et al.
National Interests: Priorities and Security. 21:79-99

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18

Mixed-Integer Linear Programming Formulation with Embedded Machine Learning Surrogates for the Design of Chemical Process Families
Stinchfield, Georgia ; Khalife, Natali ; Ammari, Bashar L. ; et al.
Industrial & Engineering Chemistry Research. 64(16):8299-8311

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19

Flood forecasting using machine learning methods in a visual programming environment
Gulzat Ziyatbekova ; Dauren Darkenbayev
International Journal of Innovative Research and Scientific Studies. 8:201-210

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20

Comparative Analysis of Four Programming Languages for Machine Learning.
Hasan, Alaa Falah ; Jabbar, Saadya Fahad ; Raheem, Firas Saadallah
Ingénierie des Systèmes d'Information. Jun2025, Vol. 30 Issue 6, p1437-1445. 9p.

PROGRAMMING languages C++ SOFTWARE engineering MACHINE learning COMPARATIVE studies MICROSOFT Visual Basic (... …
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