Suchergebnisse - (( (state OR stat) python code analysis ) OR ( (stavebne OR stateeeeeei) python code analysis ))

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

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

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

Schlagwörter: *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

Autoren: Ramón-Cortés Vilarrodona, Cristián

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

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

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

Analysis of accretion disc structure and stability using open code for vertical structure.

Autoren: Tavleev, A S Lipunova, G V Malanchev, K L

Quelle: Monthly Notices of the Royal Astronomical Society. Sep2023, Vol. 524 Issue 3, p3647-3661. 15p.

Schlagwörter: *ACCRETION disks, *RADIATION, *COMPACT discs, *ACCRETION (Astrophysics), *SUPERMASSIVE black holes, *EQUATIONS of state, *STELLAR photospheres

Smart Compiler Assistant: An AST based Python Code Analysis

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

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

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

BatAnalysis - A Comprehensive Python Pipeline for Swift BAT Survey Analysis

Autoren: Tyler Parsotan Sibasish Laha David M. Palmer et al.

Quelle: The Astrophysical Journal. 953(2)

Schlagwörter: Space Radiation

Zugangs-URL: https://ntrs.nasa.gov/citations/20230009620

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

Autoren: Wright, Sarah N Colton, Scott Schaffer, Leah V et al.

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

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

Fast robust methods for singular state-space models.

Autoren: Jonker, Jonathan Aravkin, Aleksandr Burke, James V. et al.

Quelle: Automatica. Jul2019, Vol. 105, p399-405. 7p.

Schlagwörter: *STATE-space methods, *TIME series analysis, *KALMAN filtering, *CONSTRAINED optimization, *SOURCE code

Risk Model for Metastasis Detection of Neuroblastoma (NB)

Autoren: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Weitere Verfasser: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Quelle: Bone Marrow Cytology-based Artificial Intelligence Model for Detection and Prognosis of Neuroblastoma

DeVAIC: A tool for security assessment of AI-generated code.

Autoren: Cotroneo, Domenico De Luca, Roberta Liguori, Pietro

Quelle: Information & Software Technology. Jan2025, Vol. 177, pN.PAG-N.PAG. 1p.

Schlagwörter: *COMPUTER software development, *ARTIFICIAL intelligence, *SECURITY management, CODE generators, SOURCE code

MLtool Python Code

Autoren: Nikolai A Zarkevich Nishan Senanayake Joshua Stuckner et al.

Schlagwörter: Computer Programming and Software

Relation: MLtool: Universal Supervised Machine Learning Tool to Model Tabulated Data

Zugangs-URL: https://ntrs.nasa.gov/citations/20230005458

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

Autoren: Astvansh, Vivek Simpson, Joseph J.

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

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

Geografische Kategorien: UNITED States

Effectiveness of Weight Loss Methods on Lifespan for Metabolic Syndrome

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

Weitere Verfasser: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University et al.

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

ORCmKit: an open-source library for organic Rankine cycle modelling and analysis

Autoren: Dickes, Rémi Ziviani, Davide van den Broek, Martjin et al.

Weitere Verfasser: Dickes, Rémi Ziviani, Davide van den Broek, Martjin et al.

Quelle: Proceedings of ECOS 2016 (2016-06-20); ECOS 2016 - 29th international conference on Efficiency, Cost, Optimisation, Simulation and Environmental Impact of Energy Systems, Portoroz, Slovenia [SI], du 19 juin 2016 au 23 juiin 2016

Schlagwörter: ORC, ORCmKit, Modelling, EES, Matlab, Python, simulation, off-design, sizing, Engineering, computing & technology, Energy, Ingénierie, informatique & technologie, Energie

Zugangs-URL: https://orbi.uliege.be/handle/2268/198722

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

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

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

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

Firma/Körperschaft: OpenAI Inc.

CDL Validation Study

Autoren: University Clinic for Ophthalmology and Optometry- Salzburg

Quelle: Safety and Feasibility of the Cornea DomeLens Ocular Surface Imaging System
Ang M, Cai Y, MacPhee B, Sim DA, Keane PA, Sng CC, Egan CA, Tufail A, Larkin DF, Wilkins MR. Optical coherence tomography angiography and indocyanine green angiography for corneal vascularisation. Br J Ophthalmol. 2016 Nov;100(11):1557-1563. doi: 10.1136/bjophthalmol-2015-307706. Epub 2016 Jan 28.
Steger B, Romano V, Kaye SB. Corneal Indocyanine Green Angiography to Guide Medical and Surgical Management of Corneal Neovascularization. Cornea. 2016 Jan;35(1):41-5. doi: 10.1097/ICO.0000000000000683.
McMonnies CW, Chapman-Davies A. Assessment of conjunctival hyperemia in contact lens wearers. Part I. Am J Optom Physiol Opt. 1987 Apr;64(4):246-50. doi: 10.1097/00006324-198704000-00003.
Bron AJ, Evans VE, Smith JA. Grading of corneal and conjunctival staining in the context of other dry eye tests. Cornea. 2003 Oct;22(7):640-50. doi: 10.1097/00003226-200310000-00008.
Guthoff RF, Baudouin C, Stave J. Atlas of Confocal Laser Scanning In-Vivo Microscopy in Ophthalmology. Springer; 2007
Krachmer JH, Mannis MJ, Holland EJ. Cornea. In: Vol I. 3rd Edition. Mosby Elsevier; 2011.
Steger B, Romano V, Jesacher A, et al. Ocular Surface Photography 2.0 -Curved Object Plane For Corneal Imaging. Appl Opt. in press 2017
Efron N. Grading scales for contact lens complications. Ophthalmic Physiol Opt. 1998 Mar;18(2):182-6. doi: 10.1016/s0275-5408(97)00066-5.

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

Autoren: Álvarez-Fidalgo, David Ortin, Francisco

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

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

Statistics for Data Science and Analytics

Autoren: Peter C. Bruce Peter Gedeck Janet Dobbins

Resource Type: eBook.

Schlagworte: Statistics, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General

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

Autoren: Yi Rong Yan Zhou

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

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

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

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

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

Development of a Novel Risk Prediction Tool for Emergency Department Patients Symptoms of Coronary Artery Disease

Autoren: Network of Canadian Emergency Researchers (NCER) Canadian Emergency Department Research Network Canadian Instistutes of Health Research

Quelle: Development of a Novel Risk Prediction Tool for Emergency Department Patients Symptoms of Coronary Artery Disease
McRae AD, Macci AJ, Holodinsky JK, Sajobi TT, Andruchow JE, Borgundvaag B, Brooks S, Cheng I, Deb S, Fok P, Kavsak PA, Graham MM, Lee J, McLeod SL, Scheuermeyer F, Thiruganasambandamoorthy V, Wiemer H, Yan JW, Hohl CM. Development of a Novel Risk-Prediction Tool for Emergency Department Patients with Symptoms of Coronary Artery Disease: A Research Study Protocol. CJC Open. 2025 Mar 26;7(6):777-783. doi: 10.1016/j.cjco.2025.03.016. eCollection 2025 Jun.