Výsledky vyhledávání - Verification and Program Analysis for Machine Learning Models

Systematic Review and Meta-Analysis of Machine Learning Models for Acute Kidney Injury Risk Classification.

Autoři: Cama-Olivares A Braun C Takeuchi T a další

Zdroj: Journal of the American Society of Nephrology : JASN [J Am Soc Nephrol] 2025 Oct 01; Vol. 36 (10), pp. 1969-1983. Date of Electronic Publication: 2025 Mar 28.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Wolters Kluwer Health, on behalf of the American Society of Nephrology Country of Publication: United States NLM ID: 9013836 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1533-3450 (Electronic) Linking ISSN: 10466673 NLM ISO Abbreviation: J Am Soc Nephrol Subsets: In Process; MEDLINE

LLM-based program analysis for source codes, abstract syntax trees and webassembly instructions.

Autoři: Deng, Liangjun Zhong, Qi Qiu, Yao a další

Zdroj: Cluster Computing; Nov2025, Vol. 28 Issue 14, p1-14, 14p

Témata: SOURCE code, COMPUTER software security, FAULT diagnosis, LANGUAGE models, PROGRAMMING languages, ENCODING, QUALITY assurance, SYNTAX in programming languages

Malignancy in Ground-Glass Opacity Using Multivariate Regression and Deep Learning Models: A Proof-of-Concept Study.

Autoři: Agbarya, Abed Sabo, Edmond Sheikh-Ahmad, Mohammad a další

Zdroj: Journal of Clinical Medicine; Nov2025, Vol. 41 Issue 22, p8082, 22p

Témata: DEEP learning, COMPUTED tomography, PULMONARY nodules, TEXTURE analysis (Image processing), LUNG diseases, CARCINOMA, MULTIVARIATE analysis, SENSITIVITY & specificity (Statistics)

Retrospective Development of an AI Model Combining Ultrasound and Clinical Data for Pediatric Appendicitis Differentiation.

Autoři: Tan, Rongying Li, Yongteng Wang, Jianjun a další

Zdroj: Emergency Medicine International; 11/18/2025, Vol. 2025, p1-11, 11p

Témata: ARTIFICIAL intelligence, APPENDICITIS, COMPUTER-assisted image analysis (Medicine), MACHINE learning, DEEP learning, DIAGNOSTIC services, MEDICAL records

Runoff Prediction in the Songhua River Basin Based on WEP Model.

Autoři: Wang, Xinyu Dai, Changlei Liu, Gengwei a další

Zdroj: Hydrology (2306-5338); Oct2025, Vol. 12 Issue 10, p266, 36p

Témata: CLIMATE change, HYDROLOGIC models, WATERSHEDS, MACHINE learning, RUNOFF analysis, HYDROLOGIC cycle, WATER security

Geografický termín: CHINA

Clinical Characteristics of Patients With Respiratory Infections After Nonpharmacological Interventions for COVID‐19 in China Have Ended: Using Machine Learning Approaches to Support Pathogen Prediction at Admission.

Autoři: Li, Tian‐ning Liu, Yan‐hong Yiu, Kwok‐Leung a další

Zdroj: Immunity, Inflammation & Disease; Aug2025, Vol. 13 Issue 8, p1-10, 10p

Témata: RESPIRATORY infections, MACHINE learning, INFLUENZA, PREDICTION models, DIAGNOSTIC examinations, BLOOD cell count, MYCOPLASMA pneumoniae, COVID-19

Geografický termín: CHINA

Quantitative Assessment of Flood Risk Through Multi Parameter Morphometric Analysis and GeoAI: A GIS-Based Study of Wadi Ranuna Basin in Saudi Arabia.

Autoři: AlRifai, Maram Hamed Kafy, Abdulla Al Altuwaijri, Hamad Ahmed

Zdroj: Water (20734441); Jul2025, Vol. 17 Issue 14, p2108, 31p

Témata: FLOOD risk, MACHINE learning, MORPHOMETRICS, ARID regions, WATERSHED management, WATERSHEDS, GEOSPATIAL data, GEOGRAPHIC information systems

Geografický termín: MEDINA (Saudi Arabia), SAUDI Arabia

MoVer: Motion Verification for Motion Graphics Animations.

Autoři: MA, JIAJU AGRAWALA, MANEESH

Zdroj: ACM Transactions on Graphics; Aug2025, Vol. 44 Issue 4, p1-17, 17p

Témata: SPATIOTEMPORAL processes, FIRST-order logic, MOTION analysis, ANIMATION (Cinematography), MODELING languages (Computer science), COMPUTER-generated imagery

Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis.

Autoři: Li, Fengjie Jiang, Jiajun Sun, Jiajun a další

Zdroj: ACM Transactions on Software Engineering & Methodology; Sep2025, Vol. 34 Issue 7, p1-28, 28p

Témata: LANGUAGE models, SOFTWARE engineering, PROBLEM solving, DEFECT tracking (Computer software development), COMPUTER software development, SOFTWARE maintenance, SOFTWARE upgrades

Machine Learning for Credit Risk in the Reactive Peru Program: A Comparison of the Lasso and Ridge Regression Models.

Autoři: Geraldo-Campos, Luis Alberto Soria, Juan J. Pando-Ezcurra, Tamara

Zdroj: Economies. Aug2022, Vol. 10 Issue 8, p188-N.PAG. 21p.

Témata: *REGRESSION analysis, *CREDIT risk, *ARTIFICIAL intelligence, *DATA mining, MACHINE learning, LEAST squares

Deep Learning and Remote‐Sensed Observations Reveal Global Underestimation of River Obstructions.

Autoři: He, Mingxia Niu, Jie Riley, William J. a další

Zdroj: Water Resources Research; Sep2025, Vol. 61 Issue 9, p1-22, 22p

Témata: DEEP learning, REMOTE sensing, RIVER engineering, HYDROLOGIC models, SPATIAL arrangement, ENVIRONMENTAL monitoring, AQUATIC ecology, QUANTITATIVE research

Unraveling prognostic factors in canine mammary gland tumors using machine learning.

Autoři: Scheel, Hedda Fjell Zobolas, John Lien, Tonje Gulbrandsen a další

Zdroj: Veterinary Oncology (3004-9814). 7/2/2025, Vol. 2 Issue 1, p1-15. 15p.

A Survey of Program Analysis for Distributed Software Systems.

Autoři: Cai, Haipeng

Zdroj: ACM Computing Surveys; Dec2025, Vol. 57 Issue 12, p1-45, 45p

Certifying machine learning models against evasion attacks by program analysis.

Autoři: Calzavara, Stefano Ferrara, Pietro Lucchese, Claudio

Zdroj: Journal of Computer Security; 2023, Vol. 31 Issue 1, p57-84, 28p

Témata: MACHINE learning, DECISION trees, LOGISTIC regression analysis

RESEARCH ON THE APPLICATION OF TRANSFORMER DEEP LEARNING MODEL IN CONTENT ANALYSIS AND THEME MODELING OF THE PRAJNAPARAMITA HEART SUTRA.

Autoři: MENG, WEI ZHANG, XIAOYIN

Zdroj: TPM: Testing, Psychometrics, Methodology in Applied Psychology; 2025 Supplement, Vol. 32, p1314-1321, 8p

Prediction of Recurrence and Rupture Risk of Ruptured and Unruptured Intracranial Aneurysms of the Posterior Circulation: A Machine Learning-Based Analysis.

Autoři: Növer, Martin Styczen, Hanna Jabbarli, Ramazan a další

Zdroj: Diagnostics (2075-4418); Sep2025, Vol. 15 Issue 18, p2365, 15p

Témata: INTRACRANIAL aneurysms, MACHINE learning, POSTERIOR cranial fossa, RISK assessment, ORGAN rupture, HYPERTENSION, DISEASE progression, DISEASE risk factors

Extracellular Trap-Related Genes as Potential Diagnostic Biomarkers for Endometriosis.

Autoři: Fang, Ya-Xing He, Yu-Feng Wang, Bing-Bing a další

Zdroj: International Journal of Women's Health; Nov2025, Vol. 17, p4497-4517, 21p

Témata: ENDOMETRIOSIS, BIOMARKERS, GENE expression, LEUKOCYTES, EXTRACELLULAR space, DETECTION algorithms, MACHINE learning, NONINVASIVE diagnostic tests

A Review of Multilingual Handwriting Analysis Techniques in Forensic Science.

Autoři: Priya, Ganti Skanda Ahemad, Umema Mundotiya, Neha

Zdroj: Journal of Forensic Science & Medicine; Jul-Sep2025, Vol. 11 Issue 3, p170-177, 8p

Témata: FORENSIC sciences, FORGERY, WRITTEN communication, HANDWRITING recognition (Computer science), DEEP learning

Can deep learning technology really recognize Mpox? A positive response from the EfficientNet model.

Autoři: Zhao, Xiaoqian Lyu, Long Zhang, Li

Zdroj: Frontiers in Microbiology; 2025, p1-13, 13p

Témata: MONKEYPOX, DEEP learning, DIAGNOSIS, MEDICAL technology, CONVOLUTIONAL neural networks, TRANSFER of training, PUBLIC health, COMPUTER performance

Korporace: WORLD Health Organization

Machine Learning for Predicting Spatially Variable Lateral Hydraulic Conductivity: A Step Toward Efficient Hydrological Model Calibration and Global Applicability.

Autoři: Ali, Awad M. Imhoff, Ruben O. Weerts, Albrecht H.

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Témata: HYDRAULIC conductivity, HYDROLOGIC models, MACHINE learning, CALIBRATION, SOILS, REGRESSION trees, RANDOM forest algorithms

Geografický termín: UNITED Kingdom