Search Results - (( ((statu OR state) OR stat) python code analysis ) OR ( stavebni python code analysis ))

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

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

Authors: Yi Rong Yan Zhou

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

Subject Terms: 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

File Description: electronic resource

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

Access URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

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

Company/Entity: OpenAI Inc.

A Study of Large Language Models in Detecting Python Code Violations

Authors: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

File Description: 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

Access URL: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

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

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

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

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

Testing an Educational Program to Improve Goals of Care Conversations Between Patients and Their Care Teams

Authors: National Cancer Institute (NCI)

Source: A Randomized Controlled Trial of an Intervention Called "Algorithm-Enabled Patients Activated in Cancer Care Through Teams" (A-PACT) to Improve Goals of Care Communication for People With Cancer

Numerical analysis of recovery stage with disappearing polymer layer RR-P3HT for the detection of DMMP based on diffusion equations.

Authors: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina et al.

Source: International Journal of Electronics & Telecommunications. 2025, Vol. 71 Issue 4, p1-7. 7p.

Subject Terms: *NUMERICAL analysis, *SURFACE acoustic wave sensors, *ELECTRIC conductivity, *REACTION-diffusion equations, *GAS detectors, *POLYMERIC membranes, *SURFACE interactions

Analyzing LLM-Generated Code According to Four ISO/IEC 5055:2021 Categories

Authors: Rasmus Krebs Somnath Mazumdar

Source: IEEE Access, Vol 13, Pp 202482-202499 (2025)

Subject Terms: Analysis, ISO, LLMs, maintainability, performance, Python, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11269792/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Authors: Tarek A. Atwan

Resource Type: eBook.

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

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

Authors: Mjaaseth, Jørgen

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

Automation of Software Code Analysis Using Machine Learning Methods.

Authors: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Source: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

Utilizing Deep Learning and Object-Based Image Analysis to Search for Low-Head Dams in Indiana, USA.

Authors: Crookston, Brian M. Arnold, Caitlin R.

Source: Water (20734441); Mar2025, Vol. 17 Issue 6, p876, 24p

Subject Terms: IMAGE analysis, WATER supply, DAMS, MODEL validation, LEARNING ability

Economic Impact of Abortions in Dairy Cow Herds.

Authors: Palma, Osvaldo Plà-Aragonès, Lluís M. Mac Cawley, Alejandro et al.

Source: Veterinary Sciences; Jul2025, Vol. 12 Issue 7, p645, 14p

Subject Terms: ECONOMIC impact, ABORTION, MARKOV processes, PROFITABILITY, MILK yield, DAIRY cattle, ANIMAL health

MoveApps: a serverless no-code analysis platform for animal tracking data.

Authors: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik et al.

Source: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.

The Computational Content Analyst : Using Machine Learning to Classify Media Messages

Authors: Chris J. Vargo

Resource Type: eBook.

Subjects: Machine learning

Categories: LANGUAGE ARTS & DISCIPLINES / Communication Studies, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Media Studies

Effectiveness of Weight Loss Methods on Lifespan for Metabolic Syndrome

Authors: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University et al.

Contributors: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University et al.

Source: Effectiveness of Pharmacologic, Surgical, and Dietetic Weight Loss Methods on Lifespan in Patients With Metabolic Syndrome: a Comparative Clinical Trial

Modelling the positive and negative interaction between mood and thermal sensation in the built environment using a combined Markov Chain Monte Carlo algorithm and Morris method.

Authors: Özbey, Mehmet Furkan Turhan, Cihan

Source: Building Services Engineering Research & Technology. Nov2025, Vol. 46 Issue 6, p737-752. 16p.

Subject Terms: *MARKOV chain Monte Carlo, MOOD (Psychology), THERMAL comfort, SENSITIVITY analysis, PSYCHOLOGICAL factors, ENVIRONMENTAL psychology