Výsledky vyhledávání - (( (statene OR stat) python code analysis ) OR ( stateeeeeeeeenine python code analysis ))

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

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

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

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

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

Autoři: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a další

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

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

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

Autoři: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a další

Přispěvatelé: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a další

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⟩.

Témata: 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

Dostupnost: 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

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

Autoři: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a další

Přispěvatelé: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) a další

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⟩

Témata: 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

Dostupnost: 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

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

Autoři: Dunker, Fabian Mendoza, Emil Reale, Marco

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

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

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

Autoři: Li J Xu Y Ma S a další

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

Způsob vydávání: Journal Article

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

Automation of Software Code Analysis Using Machine Learning Methods.

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

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

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.

Autoři: Duarte, Martha Salamanca, Mayra Gonzalez, Juan M. a další

Zdroj: Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.

Témata: *MENTAL depression risk factors, *RISK assessment, *PREDICTION models, *SOCIAL determinants of health, *RECEIVER operating characteristic curves, *QUESTIONNAIRES, *PRIMARY health care, *RETROSPECTIVE studies, *QUANTITATIVE research, *DESCRIPTIVE statistics, *NURSING interventions, *SURVEYS, *HEALTH behavior, *MEDICAL records, *ACQUISITION of data, *SOCIODEMOGRAPHIC factors, *MACHINE learning, *DATA analysis software, *ACCURACY, *COMPARATIVE studies, *SOCIAL classes, *SENSITIVITY & specificity (Statistics), *SOCIAL isolation, *ALGORITHMS, *REGRESSION analysis, *MENTAL depression, *EVALUATION

Geografický termín: FLORIDA

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autoři: Stewart, Mathew Peters, Carli Ziegler, Michael J. a další

Zdroj: Frontiers in Mammal Science. 2025, p1-27. 27p.

Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.

Autoři: Tan, Lizhi Cai, Xinyu Kong, Yuan a další

Zdroj: Journal of Animal Science & Biotechnology. 8/11/2025, Vol. 16 Issue 1, p1-21. 21p.

An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.

Autoři: Liu, Hongli Clark, Martyn P. Gharari, Shervan a další

Zdroj: Water Resources Research; Jan2024, Vol. 60 Issue 1, p1-22, 22p

Témata: SENSITIVITY analysis, GAUSSIAN mixture models, DATA envelopment analysis, PARAMETER estimation

Data-Driven Early Warning Approach for Antimicrobial Resistance Prediction–Anomaly Detection Based on High-Level Indicators.

Autoři: Csorba, Szilveszter Vribék, Krisztián Farkas, Máté a další

Zdroj: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p935. 17p.

Survival Modelling Using Machine Learning and Immune–Nutritional Profiles in Advanced Gastric Cancer on Home Parenteral Nutrition.

Autoři: Matysiak, Konrad Hojdis, Aleksandra Szewczuk, Magdalena

Zdroj: Nutrients. Aug2025, Vol. 17 Issue 15, p2414. 16p.

Sex-Specific Dietary Predictors of Blood Glucose Identified Through Decision Tree Modeling in Adults.

Autoři: Gautney, Joanna Aguilar, Christina Chan, Julian a další

Zdroj: Nutrients. Oct2025, Vol. 17 Issue 19, p3119. 12p.

Inferring leader-follower dynamics in three shark species using acoustic telemetry data.

Autoři: Kreuter, Nils Fernández-Gracia, Juan Eguíluz, Víctor M. a další

Zdroj: Movement Ecology. 8/28/2025, Vol. 13 Issue 1, p1-13. 13p.

Anti-Inflammatory Diet and Probiotic Supplementation as Strategies to Modulate Immune Dysregulation in Autism Spectrum Disorder.

Autoři: Naranjo-Galvis, Carlos Andrés Trejos-Gallego, Diana María Correa-Salazar, Cristina a další

Zdroj: Nutrients. Aug2025, Vol. 17 Issue 16, p2664. 21p.

Comparative virulence study of locally circulating peste des petits ruminants virus (PPRV) strains in indigenous Ethiopian goats.

Autoři: Aklilu, Fasil Ashenafi, Hagos Kassa, Tesfu a další

Zdroj: BMC Veterinary Research. 10/6/2025, Vol. 21 Issue 1, p1-11. 11p.

Témata: Peste des petits ruminants, Microbial virulence, Symptoms, Goats, Comparative studies, Seroconversion, Communicable disease control

Geografický termín: Ethiopia

Sweet Taste Adaptation to Sugars, Sucralose, and Their Blends: A Human and Rodent Perspective.

Autoři: Okoye, Stephanie I. Kim, Minjae Petty, Sara a další

Zdroj: Nutrients. Oct2025, Vol. 17 Issue 19, p3075. 16p.

ASAS-NANP symposium: mathematical modeling in animal nutrition—Making sense of big data and machine learning: how open-source code can advance training of animal scientists.

Autoři: Brennan, Jameson R. Menendez, III, Hector M. Ehlert, Krista a další

Zdroj: Journal of Animal Science. Jan2023, Vol. 101 Issue 1, p1-11. 11p. 4 Diagrams, 3 Graphs.

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

Autoři: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John a další

Témata: 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