Výsledky vyhľadávania - (( (stateni OR stat) python code analysis ) OR ( statnyeeeeneeneioned python code analysis ))~

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: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Autori: Golestani, Ali M. Gee, Julia M.

Zdroj: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Predmety: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

Primary data for BJC Carbonic anhydrase IX is a pH-stat that sets an acidic tumour extracellular pH in vivo

Autori: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John a ďalší

Témy: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH, Dataset

URL: https://www.repository.cam.ac.uk/handle/1810/361916
https://doi.org/10.17863/CAM.26029
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141

ImmobileParticles_MatchAndAnalyse: python code used for analysis of image data in Lenz et al. 2021, 'Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm'

Autori: Lenz, Robin Enders, Kristina Fischer, Franziska a ďalší

Predmety: microplastics microscopy image analysis python altair, scipo, stat

Relation: https://zenodo.org/record/4592320

Dostupnosť: https://zenodo.org/record/4592320

Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package

Autori: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a ďalší

Prispievatelia: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a ďalší

Zdroj: ISSN: 0306-4549 ; Annals of Nuclear Energy ; https://hal.science/hal-04777159 ; Annals of Nuclear Energy, 2025, 211, pp.110962. ⟨10.1016/j.anucene.2024.110962⟩.

Predmety: Nuclear reactor, Severe accident, Modelling, Uncertainty quantification, MUSA, Source Term, [PHYS]Physics [physics], [SPI]Engineering Sciences [physics], [STAT]Statistics [stat]

Relation: info:eu-repo/grantAgreement//847441/EU/Euratom research and training programme 2014 – 2018/Euratom

Dostupnosť: https://hal.science/hal-04777159
https://hal.science/hal-04777159v1/document
https://hal.science/hal-04777159v1/file/Final_version_ANE20225.pdf
https://doi.org/10.1016/j.anucene.2024.110962

Programmed differently? Testing for gender differences in Python programming style and quality on GitHub.

Autori: Brooke, Siân

Zdroj: Journal of Computer-Mediated Communication; Jan2024, Vol. 29 Issue 1, p1-13, 13p

Predmety: PYTHON programming language, PYTHONS, RANDOM forest algorithms, GENDER

Entropy, Fidelity, and Entanglement During Digitized Adiabatic Quantum Computing to Form a Greenberger–Horne–Zeilinger (GHZ) State.

Autori: Jansen, Nathan D. Hunt, Katharine L. C.

Zdroj: Entropy; Sep2025, Vol. 27 Issue 9, p891, 21p

Predmety: ENTROPY, QUANTUM entanglement, STATISTICAL accuracy, HAMILTONIAN mechanics, ISING model, QUANTUM computing, QUANTUM computers

Korporácia: INTERNATIONAL Business Machines Corp.

A comparison of machine learning algorithms for survival with missing data ; Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes

Autori: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a ďalší

Prispievatelia: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a ďalší

Zdroj: 54es Journées de Statistique de la SFdS
JDS 2023 - 54e Journées de Statistique de la SFds
https://hal.science/hal-04384220
JDS 2023 - 54e Journées de Statistique de la SFds, SFdS, Jul 2023, Bruxelles (BEL), Belgique. ⟨10.48550/arXiv.2303.13590⟩

Predmety: Machine Learning (cs.LG), Machine Learning (stat.ML), Machine learning, neural networks, survival data, simulated data, missing data, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Geografické téma: Bruxelles (BEL), Belgium

Dostupnosť: https://hal.science/hal-04384220
https://hal.science/hal-04384220v1/document
https://hal.science/hal-04384220v1/file/preprint_arxiv.pdf
https://doi.org/10.48550/arXiv.2303.13590

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

Autori: Tarek A. Atwan

Typ zdroja: eBook.

Predmet: Python (Computer program language), Machine learning

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

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Autori: Dunker, Fabian Mendoza, Emil Reale, Marco

Zdroj: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Predmety: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

A Short Guide to Using Python For Data Analysis In Experimental Physics

Autori: Fortune, Nathanael Alexander

Zdroj: Physics: Faculty Publications

Predmety: DATA ANALYSIS, NUMPY, PHYSICS, PYTHON, SCIPY, Computer Sciences, stat, edu

Relation: https://scholarworks.smith.edu/phy_facpubs/30

Dostupnosť: https://scholarworks.smith.edu/phy_facpubs/30

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

Autori: Li J Xu Y Ma S a ďalší

Zdroj: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Sep 01; Vol. 41 (9).

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Výrazy zo slovníka MeSH: Gene-Environment Interaction* , Deep Learning* , Lung Neoplasms*/genetics , Skin Neoplasms*/genetics , Melanoma*/genetics, Datasets as Topic ; Humans ; Age Factors ; Sex Factors ; Smoking

Data and code for project 'What makes users click: The effect of news values negativity and surprise in news headlines on selection likelihood'

Autori: Femke Kok Emily Kruidhof

Predmety: stat, info

Relation: https://zenodo.org/record/5940294

Dostupnosť: https://zenodo.org/record/5940294

Portable Electronic Olfactometer for Non-Invasive Screening of Canine Ehrlichiosis: A Proof-of-Concept Study Using Machine Learning.

Autori: Durán Cotrina, Silvana Valentina Acevedo, Cristhian Manuel Durán Carrillo Gómez, Jeniffer Katerine

Zdroj: Veterinary Sciences. Jan2026, Vol. 13 Issue 1, p88. 20p.

Zinc as a Biomarker of Nutritional Status and Clinical Burden in Recessive Dystrophic Epidermolysis Bullosa: Implications for Preventive Monitoring.

Autori: Quintana-Castanedo, Lucía Maseda, Rocío Sánchez-Ramón, Silvia a ďalší

Zdroj: Nutrients. Jan2026, Vol. 18 Issue 2, p232. 19p.

pyjeo: A Python Package for the Analysis of Geospatial Data

Autori: Pieter Kempeneers Ondrej Pesek Davide De Marchi a ďalší

Zdroj: ISPRS International Journal of Geo-Information, Vol 8, Iss 10, p 461 (2019)

Predmety: open-source software, geospatial data, image processing, stat, geo

Relation: https://doaj.org/article/352223c398b04d87ade0a49b91244b53

Dostupnosť: https://doi.org/10.3390/ijgi8100461
https://doaj.org/article/352223c398b04d87ade0a49b91244b53

Towards the genome-scale discovery of bivariate monotonic classifiers.

Autori: Fourquet, Océane Krejca, Martin S. Doerr, Carola a ďalší

Zdroj: BMC Bioinformatics; 9/2/2025, Vol. 26 Issue 1, p1-32, 32p

Predmety: CLASSIFICATION, BIOMARKERS, ALGORITHMS, MACHINE learning, BIOINFORMATICS

Evaluating Large Language Models in Code Generation: INFINITE Methodology for Defining the Inference Index.

Autori: Christakis, Nicholas Drikakis, Dimitris

Zdroj: Applied Sciences (2076-3417); Apr2025, Vol. 15 Issue 7, p3784, 24p

Predmety: LANGUAGE models, LONG short-term memory, ARTIFICIAL intelligence, GENERATIVE pre-trained transformers, WIND speed

Enhanced cattle identification using Siamese network and MobileViT with EMA attention.

Autori: Han, Mingshuo Li, Baoshan Li, Qi a ďalší

Zdroj: Frontiers in Veterinary Science. 2026, p1-15. 15p.

Cross-domain antimicrobial resistance in poultry farming: A One Health assessment of antimicrobial use and multidrug resistance in Kiambu County, Kenya.

Autori: Munene, Ann Kangai Mwangi, Peter Muiruri Bebora, Lilly Caroline a ďalší

Zdroj: Veterinary World. Jan2026, Vol. 19 Issue 1, p1-14. 14p.

Predmet: Multidrug resistance, Poultry farming, Holism, Enterococcus, Drug resistance in microorganisms, Escherichia coli, Anti-infective agents, Kenyans

Geografický termín: Kenya