Search Results - (( (statu OR stat) python code analysis ) OR ( (stateen OR stateeeeeee) python code analysis ))

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

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

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

Subject Terms: 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.

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

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

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

Insights and Analysis of Open-source License Violation Risks in LLMs Generated Code.

Authors: Yibo Wang Ying Wang Yue Yu et al.

Source: International Journal of Software & Informatics; 2025, Vol. 15 Issue 2, p145-173, 29p

Subject Terms: OPEN source software, COPYRIGHT infringement, LANGUAGE models, DATA analytics, CODE generators, INTELLECTUAL property infringement, DETECTION algorithms

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

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

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

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

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

Authors: Wang, Le Chen, Chan Zhu, Junyi et al.

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

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

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

Authors: Dunker, Fabian Mendoza, Emil Reale, Marco

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

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

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

Authors: Brooke, Siân

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

Subject Terms: PYTHON programming language, PYTHONS, RANDOM forest algorithms, GENDER

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation.

Authors: Chimienti, Marianna Kato, Akiko Seydi, Vahid et al.

Source: Methods in Ecology & Evolution; Feb2026, Vol. 17 Issue 2, p272-290, 19p

Subject Terms: ARTIFICIAL intelligence, COMPUTER vision, ANIMAL tagging, ENVIRONMENTAL sciences, COOPERATION, IMAGE processing, MARINE resources conservation, DATA integration

JDroid: Android malware detection using hybrid opcode feature vector.

Authors: Arslan, Recep Sinan

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

Subject Terms: MALWARE, MACHINE learning, DATA analytics, INFORMATION technology security, ENSEMBLE learning

Reviews & Products: ANDROID (Operating system)

Distinguishing LLM-Generated from Human-Written Code by Contrastive Learning.

Authors: Xu, Xiaodan Ni, Chao Guo, Xinrong et al.

Source: ACM Transactions on Software Engineering & Methodology; May2025, Vol. 34 Issue 4, p1-31, 31p

Subject Terms: CHATGPT, LANGUAGE models, CODE generators, MACHINE learning

RisingTides : An Analytic Modeling Code of Tidal Effects in Binary Neutron Star Mergers.

Authors: O'Dell, Alexander Hamilton, Maria C. Babiuc

Source: Astronomy (2674-0346); Sep2024, Vol. 3 Issue 3, p167-188, 22p

Subject Terms: NEUTRONS, GRAVITATIONAL waves, PYTHONS, WAVE analysis, EQUATIONS

Evolutionary Insights from Sequence Analysis of Interleukin 17A (IL17A).

Authors: Santos JC; Department of Biological Sciences, College of Liberal Arts and Sciences, St. John's University, Jamaica, Queens, NY, USA. santosj@stjohns.edu.

Source: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2026; Vol. 2983, pp. 397-447.

Publication Type: Journal Article

Journal Info: Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE

MeSH Terms: Evolution, Molecular* , Interleukin-17*/genetics , Sequence Analysis, DNA*/methods , Computational Biology*/methods, Phylogeny ; Humans ; Software ; Sequence Alignment

Dataset of Program Source Codes Solving Unique Programming Exercises Generated by Digital Teaching Assistant.

Authors: Demidova, Liliya A. Andrianova, Elena G. Sovietov, Peter N. et al.

Source: Data (2306-5729); Jun2023, Vol. 8 Issue 6, p109, 16p

Subject Terms: TEACHERS' assistants, PYTHON programming language, CLASSIFICATION algorithms, HIERARCHICAL clustering (Cluster analysis), MARKOV processes, SOURCE code, ALGORITHMS

Recurrence Quantification Analysis Based Methodology in Automatic Aerobic Threshold Detection: Applicability and Accuracy across Age Groups, Exercise Protocols and Health Conditions

Authors: Giovanna Zimatore Cassandra Serantoni Maria Chiara Gallotta et al.

Source: Applied Sciences, Vol 14, Iss 20, p 9216 (2024)

Subject Terms: aerobic transition, heart rate variability, nonlinear time series analysis, python code, athletes, obesity, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/20/9216; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/f7b3f6a6e6a84bba9ef80e21fe47cacc

Quantification of racial and ethnic disparities in alcohol-related problems in light of different methodological approaches.

Authors: Ye Y Lui CK Martinez P et al.

Source: Addiction (Abingdon, England) [Addiction] 2025 May; Vol. 120 (5), pp. 873-883. Date of Electronic Publication: 2025 Jan 12.

Publication Type: Journal Article

Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 9304118 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1360-0443 (Electronic) Linking ISSN: 09652140 NLM ISO Abbreviation: Addiction Subsets: MEDLINE

MeSH Terms: Alcohol Drinking*/ethnology , Alcohol Drinking*/epidemiology , Alcohol-Related Disorders*/ethnology , Alcohol-Related Disorders*/epidemiology , Alcoholism*/ethnology , Alcoholism*/epidemiology , Ethnicity*/statistics & numerical data , Health Status Disparities*, Adolescent ; Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Black or African American/statistics & numerical data ; Cross-Sectional Studies ; Hispanic or Latino/statistics & numerical data ; United States/epidemiology ; White/statistics & numerical data

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

Authors: Semenov, Serhii Tsukur, Volodymyr Molokanova, Valentina et al.

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

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

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

Authors: Cordier, Chiara Jézéquel, Pascal Campone, Mario et al.

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

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

Automation of Software Code Analysis Using Machine Learning Methods.

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

Source: 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.

Authors: Li, Jingmao Xu, Yaqing Ma, Shuangge et al.

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

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

Towards the genome-scale discovery of bivariate monotonic classifiers.

Authors: Fourquet, Océane Krejca, Martin S. Doerr, Carola et al.

Source: BMC Bioinformatics; 9/2/2025, Vol. 26 Issue 1, p1-32, 32p

Subject Terms: CLASSIFICATION, BIOMARKERS, ALGORITHMS, MACHINE learning, BIOINFORMATICS