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

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

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

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

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

Python Programming: Numerical Analysis/Machine Learning Series.

Autoři: Doskas, Constantinos

Zdroj: ISSA Journal; Oct2023, Vol. 21 Issue 10, p34-38, 5p

Témata: PYTHON programming language, NUMERICAL analysis, MACHINE learning

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

Incorporating Computer Programming & Data Science into a Guided Inquiry-Based Undergraduate Ecology Lab.

Autoři: RAHN, JENNIFER WILLNER, DANA DEVERICK, JAMES a další

Zdroj: American Biology Teacher (University of California Press); Nov/Dec2019, Vol. 81 Issue 9, p649-657, 9p

Témata: COMPUTER programming, PROGRAMMING languages, LIFE sciences, PYTHON programming language, COMPUTER science, BIODIVERSITY

Korporace: COLLEGE of William & Mary

Domain-specific decision modelling and statistical analysis for combat system effectiveness simulation.

Autoři: Li, Xiaobo Lei, Yonglin Vangheluwe, Hans a další

Zdroj: Journal of Statistical Computation & Simulation; Jun2014, Vol. 84 Issue 6, p1261-1279, 19p

Témata: STATISTICS, SIMULATION methods & models, DECISION making, QUANTITATIVE research, MATHEMATICAL optimization, DOMAIN-specific programming languages, PYTHON programming language, BAYESIAN analysis, PARAMETER estimation

Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level.

Autoři: Ehteram, Mohammad Ghanbari-Adivi, Elham

Zdroj: Environmental Science & Pollution Research; Aug2023, Vol. 30 Issue 40, p92903-92921, 19p

Témata: WATER table, STANDARD deviations, GROUNDWATER recharge, WATER rights

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

Unsupervised Voting for Detecting the Algorithmic Solving Strategy in Competitive Programming Solutions.

Autoři: Stoica, Alexandru Stefan Babiceanu, Daniel Mihaescu, Marian Cristian a další

Zdroj: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 22, p3589, 19p

Témata: MACHINE learning, CLUSTERING algorithms, COMPUTER science, ALGORITHMS, SOURCE code

PM4NGS, a project management framework for next-generation sequencing data analysis.

Autoři: Vera Alvarez, Roberto Pongor, Lorinc Mariño-Ramírez, Leonardo a další

Zdroj: GigaScience; Jan2021, Vol. 10 Issue 1, p1-9, 9p

Témata: DATA analysis, NUCLEOTIDE sequencing, SEQUENCE analysis, PROJECT management, PIPELINE inspection, LAPTOP computers

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

Autoři: Tarek A. Atwan

Resource Type: eBook.

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

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

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

Extended sample size calculations for evaluation of prediction models using a threshold for classification.

Autoři: Whittle R Ensor J Archer L a další

Zdroj: BMC medical research methodology [BMC Med Res Methodol] 2025 Jul 01; Vol. 25 (1), pp. 170. Date of Electronic Publication: 2025 Jul 01.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

Výrazy ze slovníku MeSH: Models, Statistical*, Sample Size ; Humans ; Predictive Value of Tests ; Risk Assessment/methods ; Sensitivity and Specificity ; Algorithms

SparseCoder: Advancing source code analysis with sparse attention and learned token pruning.

Autoři: Yang, Xueqi Jakubowski, Mariusz Kang, Li a další

Zdroj: Empirical Software Engineering; Feb2025, Vol. 30 Issue 1, p1-30, 30p

Python Programming Log Analysis Series.

Autoři: Doskas, Constantinos

Zdroj: ISSA Journal; Oct2021, Vol. 19 Issue 10, p20-23, 4p

Témata: PYTHON programming language, SAWLOGS, RECORDS management, INFORMATION assurance, DATABASES, TEXT files

Prediction of Chemically Modified Antimicrobial Peptides and Their Sub-functional Activities Using Hybrid Features.

Autoři: Yao Y Zhang D Fan H a další

Zdroj: Probiotics and antimicrobial proteins [Probiotics Antimicrob Proteins] 2025 May 21. Date of Electronic Publication: 2025 May 21.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: United States NLM ID: 101484100 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1314 (Electronic) Linking ISSN: 18671306 NLM ISO Abbreviation: Probiotics Antimicrob Proteins Subsets: MEDLINE