Výsledky vyhľadávania - (( (statu OR stat) python code analysis ) OR ( (statni OR staten) python code analysis ))*

Testing an Educational Program to Improve Goals of Care Conversations Between Patients and Their Care Teams

Autori: National Cancer Institute (NCI)

Zdroj: A Randomized Controlled Trial of an Intervention Called "Algorithm-Enabled Patients Activated in Cancer Care Through Teams" (A-PACT) to Improve Goals of Care Communication for People With Cancer

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

Yusuf Suresinin Anlam İlişkileri ve Hikâye Birleşenlerinin Pyhton Kodlu Matematiksel Görselleştirmelerle Tahlili. (Turkish)

Alternate Title: Analysis of the Meaning Relations and Story Components of Surah Yusuf Via Python Coded Mathematical Visualizations. (English)

Autori: Yücel, Doğan Er, Ülkü Aysel, Metin a ďalší

Zdroj: International Journal of Social Sciences (IJSS) / Uluslararası Sosyal Bilimler Dergisi; 2025, Vol. 9 Issue 41, p1-42, 42p

Predmety: TIME series analysis, THEMATIC maps, GRAPH theory, PYTHON programming language, QUR'ANIC criticism

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

Automating fuzz driver generation for deep learning libraries with large language models.

Autori: Zheng, Tianming Meng, Fanchao Yi, Ping a ďalší

Zdroj: Cybersecurity (2523-3246); 1/4/2026, Vol. 9 Issue 1, p1-21, 21p

Predmety: LANGUAGE models, COMPUTER software testing, TEST systems, STATISTICAL reliability, MECHANIZATION

An Empirical Evaluation of Ensemble Models for Python Code Smell Detection.

Autori: Rao, Rajwant Singh Dewangan, Seema Mishra, Alok

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7472, 27p

Predmety: ENSEMBLE learning, FEATURE selection, BOOSTING algorithms, PYTHON programming language, COMPUTER software quality control, DESIGN failures, DATA augmentation

A Firm's Operational Risk: Data Set and Empirical Evidence.

Autori: Astvansh, Vivek Simpson, Joseph J.

Zdroj: Manufacturing & Service Operations Management (M&SOM); Jan/Feb2026, Vol. 28 Issue 1, p326-341, 16p

Predmety: OPERATIONAL risk, TRANSFORMER models, STAKEHOLDER theory, LEGAL liability, FINANCIAL disclosure, EMPIRICAL research, NUMERICAL analysis

Geografický termín: UNITED States

An optimization method for klystron magnetic focusing system.

Autori: Wang, Yiao Zhou, Zusheng Xiao, Ouzheng a ďalší

Zdroj: Radiation Detection Technology & Methods; Dec2025, Vol. 9 Issue 4, p662-671, 10p

CQLLM: A Framework for Generating CodeQL Security Vulnerability Detection Code Based on Large Language Model.

Autori: Wang, Le Chen, Chan Zhu, Junyi a ďalší

Zdroj: Applied Sciences (2076-3417); Jan2026, Vol. 16 Issue 1, p517, 17p

Predmety: COMPUTER security vulnerabilities, LANGUAGE models, COMPUTER software correctness, SOFTWARE frameworks, PENETRATION testing (Computer security), CODE generators

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

The Computational Content Analyst : Using Machine Learning to Classify Media Messages

Autori: Chris J. Vargo

Typ zdroja: eBook.

Predmet: Machine learning

Kategórie: LANGUAGE ARTS & DISCIPLINES / Communication Studies, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Media Studies

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.

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

Understanding AI Agents and Agentic AI: Concepts, Tools, and Implementation with SmolAgents.

Autori: Lee, Wei-Meng

Zdroj: CODE Magazine; Jan/Feb2026, Vol. 27 Issue 1, p28-39, 12p, 3 Color Photographs

Predmety: INTELLIGENT agents, AUTONOMOUS robots

Mathematical Model of the Software Development Process with Hybrid Management Elements.

Autori: Semenov, Serhii Tsukur, Volodymyr Molokanova, Valentina a ďalší

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11667, 44p

Predmety: COMPUTER software development, AGILE software development, TELEMETRY, PREDICTION models, INTERDISCIPLINARY research, EPISTEMIC uncertainty, RISK assessment

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

HABiC: an algorithm based on the exact computation of the Kantorovich-Rubinstein optimizer for binary classification in transcriptomics.

Autori: Cordier, Chiara Jézéquel, Pascal Campone, Mario a ďalší

Zdroj: Bioinformatics; Jun2025, Vol. 41 Issue 6, p1-13, 13p

Predmety: PREDICTION algorithms, TRANSCRIPTOMES, DEGREES of freedom, INDIVIDUALIZED medicine, MACHINE learning

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

Autori: Whittle, Rebecca Ensor, Joie Archer, Lucinda a ďalší

Zdroj: BMC Medical Research Methodology; 7/1/2025, Vol. 25 Issue 1, p1-12, 12p

Predmety: SAMPLE size (Statistics), PREDICTION models, RESEARCH personnel, MODEL validation, CALIBRATION

JDroid: Android malware detection using hybrid opcode feature vector.

Autori: Arslan, Recep Sinan

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

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

Reviews & Products: ANDROID (Operating system)