Výsledky vyhledávání - (( (staten OR stat) python code analysis ) OR ( (statnit OR stateeeeeeeen) python code analysis ))*

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

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

CLM App: Interlamellar Distance of Pearlite via CLM Revisited and Automated.

Autoři: Zouhar, Martin Mikmeková, Šárka Hovjacký, Jan a další

Zdroj: Materials (1996-1944); Feb2026, Vol. 19 Issue 3, p635, 17p

Témata: AUTOMATION, IMAGE analysis, QUALITY control, MICROSTRUCTURE

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

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, Jingmao Xu, Yaqing Ma, Shuangge a další

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

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

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.

Témata: Python (Computer program language), Machine learning

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

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

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

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

Autoři: Cess, Colin G Haghverdi, Laleh

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

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

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

An extensive study of the effects of different deep learning models on code vulnerability detection in Python code.

Autoři: Wang, Rongcun Xu, Senlei Ji, Xingyu a další

Zdroj: Automated Software Engineering; Jun2024, Vol. 31 Issue 1, p1-35, 35p

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

Autoři: Brooke, Siân

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

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

Analysis of Program Representations Based on Abstract Syntax Trees and Higher-Order Markov Chains for Source Code Classification Task.

Autoři: Gorchakov, Artyom V. Demidova, Liliya A. Sovietov, Peter N.

Zdroj: Future Internet; Sep2023, Vol. 15 Issue 9, p314, 28p

Témata: MARKOV processes, K-nearest neighbor classification, SUPPORT vector machines, SOURCE code, SYNTAX (Grammar), CLASSIFICATION algorithms

JDroid: Android malware detection using hybrid opcode feature vector.

Autoři: Arslan, Recep Sinan

Zdroj: PeerJ Computer Science; Jul2025, p1-30, 30p

Témata: MALWARE, MACHINE learning, DATA analytics, INFORMATION technology security, ENSEMBLE learning

Reviews & Products: ANDROID (Operating system)

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

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

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

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

Korporace: INTERNATIONAL Business Machines Corp.

tonalli: an asexual genetic code to characterize APOGEE-2 stellar spectra. I. Validation with synthetic and solar spectra.

Autoři: Adame, Lucía Román-Zúñiga, Carlos Hernández, Jesús a další

Zdroj: RAS Techniques & Instruments; 2024, Vol. 3 Issue 1, p771-799, 29p

Témata: STELLAR spectra, GENETIC algorithms, ASTRONOMICAL observations, SPECTRUM analysis, MONTE Carlo method, POWER spectra, TEMPERATURE of stars

DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks.

Autoři: Fernandes, Daniel Matos-Carvalho, João P. Fernandes, Carlos M. a další

Zdroj: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1428, 24p

Témata: LANGUAGE models, GENERATIVE pre-trained transformers, GENERATING functions, RESEARCH questions, NATURAL languages

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