Search Results - (( (stateny OR statnieeeeeeeeeeee) python code analysis ) OR ( stat python code analysis ))~

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

Python Programming: Numerical Analysis/Machine Learning Series.

Authors: Doskas, Constantinos

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

Subject Terms: PYTHON programming language, NUMERICAL analysis, MACHINE learning

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

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

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

Authors: Tarek A. Atwan

Resource Type: eBook.

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

Python Programming Log Analysis Series.

Authors: Doskas, Constantinos

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

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

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

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

Authors: Stoica, Alexandru Stefan Babiceanu, Daniel Mihaescu, Marian Cristian et al.

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

Subject Terms: MACHINE learning, CLUSTERING algorithms, COMPUTER science, ALGORITHMS, SOURCE code

ImmobileParticles_MatchAndAnalyse: python code used for analysis of image data in Lenz et al. 2021, 'Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm'

Authors: Lenz, Robin Enders, Kristina Fischer, Franziska et al.

Subject Terms: microplastics microscopy image analysis python altair, scipo, stat

Relation: https://zenodo.org/record/4592320

Availability: https://zenodo.org/record/4592320

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

Authors: Yang, Xueqi Jakubowski, Mariusz Kang, Li et al.

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

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

Authors: Cess, Colin G Haghverdi, Laleh

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

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

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

Authors: Wang, Rongcun Xu, Senlei Ji, Xingyu et al.

Source: 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.

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

Primary data for BJC Carbonic anhydrase IX is a pH-stat that sets an acidic tumour extracellular pH in vivo

Authors: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John et al.

Index Terms: 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

An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.

Authors: Liu, Hongli Clark, Martyn P. Gharari, Shervan et al.

Source: Water Resources Research; Jan2024, Vol. 60 Issue 1, p1-22, 22p

Subject Terms: SENSITIVITY analysis, GAUSSIAN mixture models, DATA envelopment analysis, PARAMETER estimation

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

Authors: Mastrogiovanni, Simone Pierra, Grégoire Perriès, Stéphane et al.

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

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

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)

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

Authors: Fernandes, Daniel Matos-Carvalho, João P. Fernandes, Carlos M. et al.

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

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

An optimization method for klystron magnetic focusing system.

Authors: Wang, Yiao Zhou, Zusheng Xiao, Ouzheng et al.

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

Python による道路ネットワーク距離に基づく 空間アクセシビリティ分析の可能性. (Japanese)

Alternate Title: The potential use of Python in network-distance-based spatial accessibility analysis. (English)

Authors: 増山 篤

Source: Theory & Applications of GIS / GIS-Riron to Oyo; 2022, Vol. 30 Issue 1, p11-18, 8p