Search Results - (( (statement OR stat) python code analysis ) OR ( (stateeni OR stavebnej) python code analysis ))

Textual Financial Data Repository and Python Code for Machine Learning, AI, and Textual Analyses: Major Sections from 10-K, 10-Q, and Financial Statement Notes

Authors: Mauricio Codesso Rani Hoitash Udi Hoitash

Automated Grading Method of Python Code Submissions Using Large Language Models and Machine Learning.

Authors: Mahdaoui, Mariam Nouh, Said El Kasmi Alaoui, My Seddiq et al.

Source: Information; Aug2025, Vol. 16 Issue 8, p674, 16p

Subject Terms: PYTHON programming language, LANGUAGE models, GENERATIVE pre-trained transformers, COMPUTER programming education, RANDOM forest algorithms, ENSEMBLE learning, GRADING of students, MACHINE learning

PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code.

Authors: Jin, Wuxia Xu, Shuo Chen, Dawei et al.

Source: ICSE: International Conference on Software Engineering; 2024, p1-12, 12p

Subject Terms: PYTHON programming language, DYLAN (Computer program language), RECALL (Information retrieval), PRECISION (Information retrieval), SOFTWARE engineering

Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code.

Authors: Huang, Qing Luo, Zhiwen Xing, Zhenchang et al.

Source: ACM Transactions on Software Engineering & Methodology; Sep2024, Vol. 33 Issue 7, p1-29, 29p

Subject Terms: LANGUAGE models, ARTIFICIAL intelligence, LEARNING ability, SOFTWARE development tools, IMPLICIT learning, SOFTWARE engineering

An exploratory text-mining approach to analyzing DEI-related issues in eight leading architecture & design firms' publications.

Authors: Mohammed, Hassnaa More, Prathamesh Pravin Saudagar, Onkar Vishnu

Source: Design Journal. Jul2025, Vol. 28 Issue 4, p783-807. 25p.

Subject Terms: Diversity & inclusion policies, Text mining, Architectural design, Big data, Social consciousness, Design services, Python programming language, Data analysis

People: Floyd, George, ca. 1973-2020

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

Evaluating Large Language Models in Class-Level Code Generation.

Authors: Du, Xueying Liu, Mingwei Wang, Kaixin et al.

Source: ICSE: International Conference on Software Engineering; 2024, p1-13, 13p

Subject Terms: LANGUAGE models, COMPUTER software development, KNOWLEDGE gap theory, PYTHON programming language, SOFTWARE engineering

Generating highly customizable python code for data processing with large language models: Generating Highly Customizable Python Code for Data Processing...: I. Trummer.

Authors: Trummer, Immanuel

Source: VLDB Journal International Journal on Very Large Data Bases; Mar2025, Vol. 34 Issue 2, p1-19, 19p

Towards Standardizing Validation Practices in Agent-Based Modeling: A Hierarchical ABM Validation Framework.

Authors: ZHOU HE QI SONG JUNCHAO LIAN et al.

Source: ACM Transactions on Modeling & Computer Simulation; Jan2026, Vol. 36 Issue 1, p1-25, 25p

Subject Terms: CALIBRATION, MODEL validation, SIMULATION methods & models, PYTHON programming language, MULTIAGENT systems

RIdiom: Automatically Refactoring Non-Idiomatic Python Code with Pythonic Idioms.

Authors: Zhang, Zejun Xing, Zhenchang Xu, Xiwei et al.

Source: ICSE: International Conference on Software Engineering; 2023, p102-106, 5p

Subject Terms: PYTHON programming language, COMPUTER programmers, AUTOMATION, INSTITUTIONAL repositories

Company/Entity: GITHUB Inc.

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.

Subjects: Python (Computer program language), Machine learning

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

HARP: Holistic Analysis for Refactoring Python-Based Analytics Programs.

Authors: Weijie Zhou Yue Zhao Guoqiang Zhang et al.

Source: ICSE: International Conference on Software Engineering; 6/17/2020, p506-517, 12p

Subject Terms: PYTHON programming language, MACHINE learning, DATA analytics, SOFTWARE engineering, COMPUTER software development

Automated Recommendation of Extracting Local Variable Refactorings.

Authors: Jiang, Yanjie Chi, Xiaye Zhang, Yuxia et al.

Source: ACM Transactions on Software Engineering & Methodology; Nov2025, Vol. 34 Issue 8, p1-42, 42p

Subject Terms: SOFTWARE refactoring, SOFTWARE development tools, LEARNING classifier systems, QUALITY assurance, SOFTWARE failures

DMVL4AVD: a deep multi-view learning model for automated vulnerability detection.

Authors: Du, Xiaozhi Zhou, Yanrong Du, Hongyuan

Source: Neural Computing & Applications; Mar2025, Vol. 37 Issue 8, p5873-5889, 17p

Subject Terms: GRAPH neural networks, ARTIFICIAL intelligence, FEATURE extraction, SOURCE code, IMAGE processing, DEEP learning

An Analytical Review of the Source Code Models for Exploit Analysis.

Authors: Fedorchenko, Elena Novikova, Evgenia Fedorchenko, Andrey et al.

Source: Information; Sep2023, Vol. 14 Issue 9, p497, 15p

Subject Terms: CYBERTERRORISM, COMPUTER security vulnerabilities, SOURCE code

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

Authors: Li J Xu Y Ma S et al.

Source: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Sep 01; Vol. 41 (9).

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

MeSH Terms: Lung Neoplasms*/genetics , Skin Neoplasms*/genetics , Melanoma*/genetics , Gene-Environment Interaction* , Deep Learning*, Datasets as Topic ; Humans ; Age Factors ; Sex Factors ; Smoking

Bactogram: Spatial Analysis of Bacterial Colonization in Epidermal Wounds

Authors: Wallblom, Karl Forsberg, Fredrik Lundgren, Sigrid et al.

Contributors: Wallblom, Karl Forsberg, Fredrik Lundgren, Sigrid et al.

Subject Terms: Medical and Health Sciences, Clinical Medicine, Dermatology and Venereal Diseases, Medicin och hälsovetenskap, Klinisk medicin, Dermatologi och venereologi

Access URL: https://doi.org/10.1101/2024.04.18.24305961

Phenotype structuring in collective cell migration: a tutorial of mathematical models and methods.

Authors: Lorenzi T Painter KJ Villa C

Source: Journal of mathematical biology [J Math Biol] 2025 May 16; Vol. 90 (6), pp. 61. Date of Electronic Publication: 2025 May 16.

Publication Type: Journal Article; Review

Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7502105 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1416 (Electronic) Linking ISSN: 03036812 NLM ISO Abbreviation: J Math Biol Subsets: MEDLINE

MeSH Terms: Cell Movement*/physiology , Models, Biological*, Neoplasms/pathology ; Phenotype ; Humans ; Mathematical Concepts ; Computer Simulation ; Animals

GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation.

Authors: Zong, Xing Zheng, Shang Zou, Haitao et al.

Source: Science of Computer Programming. Dec2024, Vol. 238, pN.PAG-N.PAG. 1p.

Subject Terms: *GRAPH neural networks, *ARTIFICIAL intelligence, *LANGUAGE models, *SOFTWARE engineering, *FLOW control (Data transmission systems), *PYTHON programming language

Resonant Substrate Hypothesis (RSH) v14 — A Unifying Law of Information, Energy, and Time: Linking Einstein, Planck, and Shannon through the Gewirtz Invariant

Authors: Gewirtz, Jeffrey

Subject Terms: information geometry, Surrogate testing, Gravitational wave signal processing, dissipation coupling, entropy flow constraint, signal-to-noise ratio (SNR), error propagation, information theory, wavelet ridge analysis, Lorentzian width estimation, peak detection, bootstrap resampling, mode mixing, breakpoint detection (W*), ringdown window, copula MI, distance correlation, universal ratio F≈1, domain-neutral normalization, Black holes, cross-domain invariance, quantum thermodynamic, Lyapunov, Hilbert space, Lyapunov pathway, Astrophysical detectability, fixed point, theorem, Schumann resonance, ELF fields, recursion operator, 3I/ATLAS, Detector invariance, Information–Energy Symmetry, Resonant Equilibrium, Spectral–Information Coupling, Entropy–Resonance Relationship, Mutual Information Decay Constant, Empirical Universality, Gewirtz Ratio (F ≈ 1), Information–Energy Conservation Law, Resonant Substrate Framework, Informational Thermodynamics, Cross-Scale Correlation, Synthetic Validation Protocol, Open-Science Reproducibility, Python Simulation Framework, Physical Information Theory, Nonlinear Information Dynamics, Statistical Physics of Information, Entropy–Dissipation Invariance, Complex Systems Physics, classification (ROC, confusion matrix), falsifiability, C₀-semigroup, GW150914, complexity theory, resonant substrate, invariant ratio, entropy–information duality, Gewirtz Invariant, Information-theoretic analysis, Gravitational waves, recursion, spectral gap, emergence, Collapse scaling, energy–information law, universal invariant, quasi-normal modes (QNM), spectral linewidth (HWHM), Lorentzian peak fitting, mutual-information decay, spectral decay rate, SNR gating, equivalence testing (TOST), Bayes factors, hierarchical modeling, surrogate null models, ARFIMA, heavy-tailed noise, open quantum systems, Lindblad dissipators, Hilbert envelope, continuous wavelet transform (CWT), reproducible research, provenance tracking, Partition Rendering Hypothesis, Bootstrap confidence intervals, Ringdown analysis, Resonant Substrate Hypothesis, Operator theory, uncertainty propagation, stability, Mutual information, thermodynamic irreversibility, quantum decoherence, Unified Information–Energy Formalism, Statistical validation