Výsledky vyhledávání - multi-objective genetics algorithm explainer

Model-agnostic local explanation: Multi-objective genetic algorithm explainer

Autoři: Hossein Nematzadeh José García-Nieto Sandro Hurtado a další

Zdroj: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Témata: Residual network 50 layers, Local Interpretable Model-agnostic Explanations, Citrus diseases, Non-dominated Sorting Genetic Algorithm II, Programación genética (Informática), Melanoma detection, Multi-objective genetic algorithm explainer

Přístupová URL adresa: https://hdl.handle.net/10630/35359
https://doi.org/10.1016/j.engappai.2024.109628
https://hdl.handle.net/10630/35359

Genetic Algorithm Approach to a Concurrent Real-Time Optimization Problem in the Embedded System Design Process.

Autoři: Górski, Adam M. Ogorzałek, Maciej

Zdroj: Foundations of Computing & Decision Sciences; Sep2025, Vol. 50 Issue 3, p373-382, 10p

Témata: GENETIC algorithms, EMBEDDED computer systems, MATHEMATICAL optimization, PARALLEL processing, EVOLUTIONARY algorithms, PROCESS optimization

Reduction of Insolvency Risk and Total Costs in Banking Sector using Partners Selection Approach with Genetic Algorithm and Multilayer Perceptron Neural Network.

Autoři: Azarbad, M. Shojaie, A. A. Abdi, F. a další

Zdroj: International Journal of Engineering Transactions B: Applications; Aug2024, Vol. 37 Issue 8, p1667-1690, 24p

Témata: BANKING industry, OPTIMIZATION algorithms, MULTILAYER perceptrons, ECONOMIC development, BANKRUPTCY, COST control, GENETIC algorithms, INTELLIGENT networks, METAHEURISTIC algorithms

GAAOA-Lévy: a hybrid metaheuristic for optimized multilevel thresholding in image segmentation.

Autoři: Mahmoud, Eman Alkhalaf, Salem Senjyu, Tomonobu a další

Zdroj: Scientific Reports; 7/26/2025, Vol. 15 Issue 1, p1-24, 24p

Témata: IMAGE segmentation, THRESHOLDING algorithms, LEVY processes, MATHEMATICAL programming, SIGNAL-to-noise ratio, GENETIC algorithms, OPTIMIZATION algorithms, MATHEMATICAL optimization

MULTI-CRITERIA OPTIMIZATION OF DIGITAL MARKETING FOR ENTERPRISES IN THE AGRO-INDUSTRIAL COMPLEX BASED ON NSGA-III ALGORITHM AND MACHINE LEARNING.

Alternate Title: БАГАТОКРИТЕРІАЛЬНА ОПТИМІЗАЦІЯ ЦИФРОВОГО МАРКЕТИНГУ ДЛЯ ПІДПРИЄМСТВ АГРОПРОМИСЛОВОГО КОМПЛЕКСУ НА ОСНОВІ АЛГОРИТМУ NSGA-III ТА МАШИННОГО НАВЧАННЯ. (Ukrainian)

Autoři: Kryvoruchko, Olena Abildaeva, Zhansaya Lakhno, Valerii a další

Zdroj: Eastern-European Journal of Enterprise Technologies; 3/25/2025, Vol. 135 Issue 4, p6-17, 12p

Témata: MULTI-objective optimization, AGRICULTURAL marketing, SOFTWARE libraries (Computer programming), MACHINE learning, INTERNET marketing

Optimized deep learning framework for pomegranate disease detection using nature-inspired algorithms.

Autoři: Sandhi, Anil Kumar, Rajeev Bhardwaj, Reeta a další

Zdroj: Plant Methods; 10/3/2025, Vol. 21 Issue 1, p1-36, 36p

Témata: DEEP learning, POMEGRANATE, IMAGE processing, PRECISION farming, BIOLOGICALLY inspired computing, OPTIMIZATION algorithms, PARTICLE swarm optimization

Research on Multi-Objective Parameter Matching and Stepwise Energy Management Strategies for Hybrid Energy Storage Systems.

Autoři: Xu, Wenna Huang, Hao Wang, Chun a další

Zdroj: Energies (19961073); Mar2025, Vol. 18 Issue 6, p1354, 22p

Témata: HYBRID power systems, MULTI-objective optimization, ENERGY storage, PARTICLE swarm optimization, ENERGY conservation

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes].

Autoři: Ma, Yuxin Zhang, Zherui Cheng, Ran a další

Zdroj: IEEE Computational Intelligence Magazine; Feb2025, Vol. 20 Issue 1, p78-94, 17p

Multi-scale level set image segmentation model based on genetic selection.

Autoři: Chen, Weiyueheng Lu, Yibin Wu, Dean a další

Zdroj: Signal, Image & Video Processing; Jun2025, Vol. 19 Issue 6, p1-19, 19p

Toward Transparent Optimization: A Systematic Review of Explainable AI in Decision-Making Systems.

Autoři: Danach, Kassem Aly, Wael Hosny Fouad Tarhini, Abbas a další

Zdroj: European Journal of Pure & Applied Mathematics; Oct2025, Vol. 18 Issue 4, p1-28, 28p

Machine learning-aided catalyst screening and multi-objective optimization for the indirect CO2 hydrogenation to methanol and ethylene glycol process.

Autoři: Yang, Qingchun Fan, Yingjie Zhou, Jianlong a další

Zdroj: Green Chemistry; 9/21/2023, Vol. 25 Issue 18, p7216-7233, 18p

Témata: MACHINE learning, ETHYLENE glycol, HYDROGENATION, PEARSON correlation (Statistics), METHANOL, CATALYSTS, CARBONATES

Heart disease prediction with a feature-sensitized interpretable framework for the Internet of Medical Things sensors.

Autoři: Kailasanathan, Nallakaruppan Ezhilarasan, Gangadevi Selvarajan, Shitharth a další

Zdroj: Frontiers in Digital Health; 2025, p1-27, 27p

Témata: HEART disease diagnosis, BOOSTING algorithms, RANDOM forest algorithms, ANGINA pectoris, PREDICTION models, SECONDARY analysis, RECEIVER operating characteristic curves, CLINICAL decision support systems, LOGISTIC regression analysis, DESCRIPTIVE statistics, HEART failure, SUPPORT vector machines, ELECTROCARDIOGRAPHY, HEART beat, CONCEPTUAL structures, DEEP learning, EARLY diagnosis, MACHINE learning, DECISION trees, DATA analysis software, INTERNET of things, SENSITIVITY & specificity (Statistics), BLOOD pressure measurement, CLOUD computing

Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach.

Autoři: Aljadani, Abdussalam Alharthi, Bshair Farsi, Mohammed A. a další

Zdroj: Mathematics (2227-7390); Oct2023, Vol. 11 Issue 19, p4055, 28p

Témata: CREDIT ratings, CREDIT analysis, PARTICLE swarm optimization, MATHEMATICAL analysis, DECISION trees, CLASSIFICATION algorithms, MATHEMATICAL models, MACHINE learning

Enhancing Credit Risk Prediction through an Ensemble of Explainable Model.

Autoři: Sun, Xinyu Liu, Jiayu Zhang, Yan

Zdroj: Journal of Systems Science & Systems Engineering; Oct2025, Vol. 34 Issue 5, p619-640, 22p

Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization.

Autoři: Mehdiyev, Nijat Majlatow, Maxim Fettke, Peter

Zdroj: Cognitive Computation; Sep2024, Vol. 16 Issue 5, p2674-2700, 27p

Designing an Optimization-Simulation Model for Credit Scoring and Loan Structuring Using a Memetic Algorithm: A Case Study of Corporate Banking Clients.

Autoři: Khorrami, Amir Dehghan Nayeri, Mahmoud Rajabzadeh, Ali

Zdroj: Industrial Management Journal (IMJ); 2025, Vol. 17 Issue 2, p27-57, 31p

Témata: INTEREST rates, DEFAULT (Finance), ARTIFICIAL neural networks, CREDIT risk, CREDIT analysis, RECEIVER operating characteristic curves

Monthly Power Outage Maintenance Scheduling for Power Grids Based on Interpretable Reinforcement Learning.

Autoři: Tang, Wei Mao, Xun Lv, Kai a další

Zdroj: Energies (19961073); Oct2025, Vol. 18 Issue 20, p5454, 18p

Témata: REINFORCEMENT learning, MATHEMATICAL optimization, ELECTRIC power failures, SCHEDULING, ELECTRIC power system reliability, ELECTRIC power distribution grids

A Metaheuristic Framework for Cost-Effective Renewable Energy Planning: Integrating Green Bonds and Fiscal Incentives.

Autoři: Saldarriaga-Loaiza, Juan D. Rodríguez-Serna, Johnatan M. López-Lezama, Jesús M. a další

Zdroj: Energies (19961073); May2025, Vol. 18 Issue 10, p2483, 23p

Témata: RENEWABLE energy sources, INVESTORS, GREEN bonds, METAHEURISTIC algorithms, INTEREST rates

Counterfactual Explainer for Deep Reinforcement Learning Models using Policy Distillation.

Autoři: SAMADI, AMIR KOUFOS, KONSTANTINOS DEBATTISTA, KURT a další

Zdroj: ACM Transactions on Intelligent Systems & Technology; Apr2025, Vol. 16 Issue 2, p1-22, 22p

Témata: DEEP reinforcement learning, REINFORCEMENT learning, SOURCE code, COUNTERFACTUALS (Logic), ARTIFICIAL intelligence, DEEP learning

Cardiovascular disease detection: A hybrid machine learning-AI framework for personalized diagnosis and risk assessment.

Autoři: Tawfeek, Medhat A. Alrashdi, Ibrahim Alruwaili, Madallah a další

Zdroj: PLoS ONE; 10/29/2025, Vol. 20 Issue 10, p1-31, 31p

Témata: CARDIOVASCULAR diseases, MACHINE learning, DIAGNOSIS, RISK assessment, MEDICAL care, PARTICLE swarm optimization, ARTIFICIAL intelligence, SUPPORT vector machines