Výsledky vyhľadávania - (( (statny OR state) python code analysis ) OR ( (statnet OR stateeeeni) python code analysis ))*

Smart Compiler Assistant: An AST based Python Code Analysis

Autori: Aneesh, Ch Saumik, Gembali Varun, Kvv a ďalší

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

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

Programming models to support data science workflows

Autori: Ramón-Cortés Vilarrodona, Cristián

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

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

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: 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

Popis súboru: application/pdf

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

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

Autori: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a ďalší

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

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

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

Autori: Ruta, Michael R Gaidici, Tony Irwin, Chase a ďalší

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

Predmety: *Data analysis, *Data management, ChatGPT, Inferential statistics, Medical care research, Statistical software, Univariate analysis, Descriptive statistics

Korporácia: OpenAI Inc.

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

Autori: Álvarez-Fidalgo, David Ortin, Francisco

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

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

Processing Government Data: ZIP Codes, Python, and OpenRefine.

Autori: Donnelly, Frank¹ francis.donnelly@baruch.cuny.edu

Zdroj: Code4Lib Journal. 7/21/2014, Issue 25, p10-10. 1p. 2 Color Photographs.

Predmety: *Data analysis, *Librarians, Zip codes, Python programming language, Electronic spreadsheets

Percolation Theory Using Python

Autori: Malthe-Sørenssen, Anders

Predmety: fractal models, critical phenomena in statistical physics, disordered systems, scaling theory, anomalous diffusion, random media textbook, Statistical physics, Condensed matter physics (liquid state and solid state physics), Cybernetics and systems theory, Engineering applications of electronic, magnetic, optical materials, Mathematical physics, Geophysics

Popis súboru: application/pdf

Relation: Lecture Notes in Physics

Prístupová URL adresa: https://library.oapen.org/handle/20.500.12657/92326

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

Autori: LaPolla, Fred Willie Zametkin Grossi, Marco Barber Chen, Sharon a ďalší

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

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

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

Autori: Koleck, Theresa A Dreisbach, Caitlin Zhang, Chen a ďalší

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

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

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Autori: Wright, Sarah N Colton, Scott Schaffer, Leah V a ďalší

Zdroj: Molecular Systems Biology. Jan2025, Vol. 21 Issue 1, p1-29. 29p.

Predmety: *SYSTEMS biology, *LIFE sciences, *REGULATOR genes, *BIOLOGICAL systems, *BIOLOGICAL networks

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

Autori: Mjaaseth, Jørgen

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

Quantifying cross-language code reuse via function-level clone detection

Autori: Yi Rong Yan Zhou

Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 10, Pp 1-20 (2025)

Predmety: Natural language processing, Code reuse detection, Function-level clone analysis, Java and python source code, Academic plagiarism detection, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Prístupová URL adresa: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

P24-01 Assessment of the pesticide application rate impact on the oncological morbidity of the Ukrainian population.

Autori: Antonenko, A. Borysenko, A. Kondratiuk, M. a ďalší

Zdroj: Toxicology Letters. 2025 Supplement, Vol. 411, pS300-S300. 1p.

Predmety: *PESTICIDES, *EPIDEMIOLOGY of cancer, *AGRICULTURAL laborers, *PLANT protection, *UKRAINIANS, *STATISTICS

Geografický termín: UKRAINE, KYIV (Ukraine)

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

Autori: Langner, Johanna Sadhukhan, Anjan Saha, Jayanta K. a ďalší

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

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

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

Autori: Lázaro, Jorge Wongprommoon, Arin Júlvez, Jorge a ďalší

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

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

A parametric analysis of CLT wall and outrigger structural system in tall timber buildings

Autori: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris a ďalší

Prispievatelia: Blom, Herman Mørkved Hellem, Sverre Grøttebø Stamatopoulos, Haris a ďalší

Dostupnosť: https://hdl.handle.net/11250/3024629

A Study of Large Language Models in Detecting Python Code Violations

Autori: Hekar A. Mohammed Salih Qusay I. Sarhan

Zdroj: ARO-The Scientific Journal of Koya University, Vol 13, Iss 2 (2025)

Predmety: Large language models, Software metrics, Software quality, Static code analysis, Technology, Science

Popis súboru: electronic resource

Relation: https://aro.koyauniversity.org/index.php/aro/article/view/2395; https://doaj.org/toc/2410-9355; https://doaj.org/toc/2307-549X

Prístupová URL adresa: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

Quantifying the nuclear localization of fluorescently tagged proteins.

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

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

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

MEG and EEG data analysis with MNE-Python

Autori: Gramfort, Alexandre Luessi, Martin Hamalainen, Matti a ďalší

Zdroj: Gramfort, A., M. Luessi, E. Larson, D. A. Engemann, D. Strohmeier, C. Brodbeck, R. Goj, et al. 2013. “MEG and EEG data analysis with MNE-Python.” Frontiers in Neuroscience 7 (1): 267. doi:10.3389/fnins.2013.00267. http://dx.doi.org/10.3389/fnins.2013.00267.

Predmety: Methods Article, electroencephalography (EEG), magnetoencephalography (MEG), neuroimaging, software, python, open-source

Popis súboru: application/pdf

Relation: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872725/pdf/; Frontiers in Neuroscience

Prístupová URL adresa: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11879699

Quantitative virus infectivity titration and dose-response analyses using cell-culture based methods and python code-assisted data analysis

Autori: Henna-Maarit Kyröläinen Iiris Mustonen Juho Enäkoski a ďalší

Zdroj: iScience, Vol 29, Iss 3, Pp 115018- (2026)

Predmety: virology, Science

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589004226003937; https://doaj.org/toc/2589-0042

Prístupová URL adresa: https://doaj.org/article/66ab127160aa4b968be933c3101d8f30