Search Results - (( (statne OR state) python code analysis ) OR ( (statet OR stateeeeene) python code analysis ))*

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet. Sep2025, Vol. 17 Issue 9, p412. 28p.

Subject Terms: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Smart Compiler Assistant: An AST based Python Code Analysis

Authors: Aneesh, Ch Saumik, Gembali Varun, Kvv et al.

Source: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) ; page 1-6

Availability: https://doi.org/10.1109/icccnt61001.2024.10724220
http://xplorestaging.ieee.org/ielx8/10723818/10723316/10724220.pdf?arnumber=10724220

Measurement and Development for Automated Secure Coding Solutions

Authors: Frantz, Miles Eugene

Thesis Advisors: Computer Science and#38; Applications, Yao, Danfeng, Rajagopalan, Raj, Meng, Na, Chung, Taejoong Tijay, Brown, Dwayne Christian

Subject Terms: Large Language Models, Machine Learning, Static Code Analysis, Python, Java, Benchmark

File Description: ETD; application/pdf

Availability: https://hdl.handle.net/10919/121100

TESTING THE DYNAMIC EXECUTION OF PYTHON PROGRAM CODE DURING THE CERTIFICATION TESTING (DEVELOPMENT) STAGE IN THE CERTIFICATION SYSTEM OF THE MINISTRY OF DEFENSE OF RUSSIA

Authors: V.V. Samarov

Source: Надежность и качество сложных систем, Iss 2 (2023)

Subject Terms: certification tests of software products, dynamic code analysis of python programs, control of completeness and lack of redundancy at the level of files and functional objects, code profiling for dynamic analysis, Motor vehicles. Aeronautics. Astronautics, TL1-4050

File Description: electronic resource

Relation: https://doaj.org/toc/2307-4205

Access URL: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research.

Authors: Ruta, Michael R Gaidici, Tony Irwin, Chase et al.

Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-9. 9p.

Subject Terms: ChatGPT, Inferential statistics, Medical care research, Statistical software, Univariate analysis, Descriptive statistics, Data analysis, Data management

Company/Entity: OpenAI Inc.

Rapid Development of Interferometric Software Using MIRIAD and Python

Authors: Williams, Peter K. G. Law, Casey J. Bower, Geoffrey C.

Source: Publications of the Astronomical Society of the Pacific, 2012 . 124(916), 624-636.

Access URL: https://www.jstor.org/stable/10.1086/666604

HABiC: an algorithm based on the exact computation of the Kantorovich-Rubinstein optimizer for binary classification in transcriptomics.

Authors: Cordier, Chiara Jézéquel, Pascal Campone, Mario et al.

Source: Bioinformatics. Jun2025, Vol. 41 Issue 6, p1-13. 13p.

Subject Terms: *PREDICTION algorithms, *TRANSCRIPTOMES, *DEGREES of freedom, *INDIVIDUALIZED medicine, *MACHINE learning

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model.

Authors: Li, Jingmao Xu, Yaqing Ma, Shuangge et al.

Source: Bioinformatics. Sep2025, Vol. 41 Issue 9, p1-9. 9p.

Subject Terms: *CANCER research, *GENOTYPE-environment interaction, *DIAGNOSTIC imaging, *DEEP learning, *EMPIRICAL research, *COMPUTER simulation

Otimização do processo de fabrico e controlo de qualidade na maquinação

Authors: Oliveira, Tiago Viegas

Subject Terms: Digitalização, Indústria 4.0, Gestão de processos, Controlo produtivo, Metrologia

File Description: application/pdf

Availability: http://hdl.handle.net/10773/45577

Exploring Methods for Quantifying Expressibility and Entangling Capability of Parameterized Quantum Circuits

Authors: Mjaaseth, Jørgen

Availability: https://hdl.handle.net/11250/3145867

Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in Escherichia coli.

Authors: Lázaro, Jorge Wongprommoon, Arin Júlvez, Jorge et al.

Source: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-11. 11p.

Subject Terms: *ESCHERICHIA coli, *METABOLIC models, *CHEMICAL kinetics, *METABOLIC flux analysis, *MATHEMATICAL programming

Quantifying the nuclear localization of fluorescently tagged proteins.

Authors: Hurbain, Julien Wolde, Pieter Rein ten Swain, Peter S

Source: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-8. 8p.

Subject Terms: *CONVOLUTIONAL neural networks, *MACHINE learning, *CELLULAR signal transduction, *IMAGE processing, *FLUORESCENT proteins, *CELL analysis

CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders.

Authors: Álvarez-Fidalgo, David Ortin, Francisco

Source: Information Processing & Management. May2025, Vol. 62 Issue 3, pN.PAG-N.PAG. 1p.

Subject Terms: *Transformer models, Language models, Source code, Dispute resolution, Python programming language

An algorithm for automated extraction of resonance parameters from the stabilization method.

Authors: Langner, Johanna Sadhukhan, Anjan Saha, Jayanta K. et al.

Source: Computer Physics Communications. Nov2025, Vol. 316, pN.PAG-N.PAG. 1p.

Subject Terms: *RESONANCE, *DENSITY of states, *STATISTICAL accuracy, *EIGENANALYSIS, *PYTHON programming language, *ALGORITHMS, *DATA extraction

NFEmbed: modeling nitrogenase activity via classification and regression with pretrained protein embeddings.

Authors: Nafi, Md Muhaiminul Islam Mohaimin, Abdullah Al

Source: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-17. 17p.

Subject Terms: *NITROGENASES, *MACHINE learning, *CROP yields, *MICROBIOLOGY, *ENSEMBLE learning, *GENOMICS, *BIOFERTILIZERS

Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial.

Authors: Burns, James Chen, Kelly Flathers, Matthew et al.

Source: Journal of Medical Internet Research. 2024, Vol. 26, p1-27. 27p.

Subject Terms: *Electronic data processing, *Data visualization, *Data quality, Cell phones, Integrated software

User guide for Social Determinants of Health Survey data in the All of Us Research Program.

Authors: Koleck, Theresa A Dreisbach, Caitlin Zhang, Chen et al.

Source: Journal of the American Medical Informatics Association. Dec2024, Vol. 31 Issue 12, p3032-3041. 10p.

Subject Terms: Social determinants of health, Health equity, Research personnel, Sociometry, Source code

A Firm's Operational Risk: Data Set and Empirical Evidence.

Authors: Astvansh, Vivek Simpson, Joseph J.

Source: Manufacturing & Service Operations Management (M&SOM). Jan/Feb2026, Vol. 28 Issue 1, p326-341. 16p.

Subject Terms: *OPERATIONAL risk, *TRANSFORMER models, *STAKEHOLDER theory, *LEGAL liability, *FINANCIAL disclosure, *EMPIRICAL research, NUMERICAL analysis

Geographic Terms: UNITED States

All of whom? Limitations encountered using All of Us Researcher Workbench in a Primary Care residents secondary data analysis research training block.

Authors: LaPolla, Fred Willie Zametkin Grossi, Marco Barber Chen, Sharon et al.

Source: Journal of the American Medical Informatics Association. Dec2024, Vol. 31 Issue 12, p3008-3012. 5p.

Subject Terms: Secondary analysis, Graduate medical education, Research personnel, Residents (Medicine), Research questions