Výsledky vyhľadávania - (( (stateen OR stat) python code analysis ) OR ( stateeneline 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

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 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

Automation of Software Code Analysis Using Machine Learning Methods.

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

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

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.

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

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

Autori: Li, Jingmao Xu, Yaqing Ma, Shuangge a ďalší

Zdroj: Bioinformatics; Sep2025, Vol. 41 Issue 9, p1-9, 9p

Predmety: CANCER research, GENOTYPE-environment interaction, DIAGNOSTIC imaging, DEEP learning, EMPIRICAL research, COMPUTER simulation

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

Autori: Stoica, Alexandru Stefan Babiceanu, Daniel Mihaescu, Marian Cristian a ďalší

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

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

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.

A comparison of machine learning algorithms for survival with missing data

Autori: Dufossé, Paul Benzekry, Sébastien Benzekry, Sebastien

Prispievatelia: Dufossé, Paul Benzekry, Sébastien Benzekry, Sebastien

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

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-04384220v1
https://doi.org/10.48550/arxiv.2303.13590
https://hal.science/hal-04384220v1/document

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.

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

Compound-SNE: comparative alignment of t-SNEs for multiple single-cell omics data visualization.

Autori: Cess, Colin G Haghverdi, Laleh

Zdroj: Bioinformatics; Jul2024, Vol. 40 Issue 7, p1-5, 5p

Predmety: RESEARCH personnel, DATA visualization, GENE expression, DATA analysis, PYTHON programming language

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

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

ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous, and incomplete observations.

Autori: Mastrogiovanni, Simone Pierra, Grégoire Perriès, Stéphane a ďalší

Zdroj: Astronomy & Astrophysics / Astronomie et Astrophysique; 1/27/2024, Vol. 682, p1-16, 16p

Predmety: PYTHON programming language, GENERAL relativity (Physics), GRAVITATIONAL waves, REDSHIFT

THE INCOMPLETE PADOVAN NUMBERS.

Autori: Kiziltas, Rahime Yilmaz, Nazmiye

Zdroj: Bulletin of International Mathematical Virtual Institute; 2025, Vol. 15 Issue 1, p51-60, 10p

Predmety: GENERATING functions, PYTHON programming language, PLASTICS