Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Genetic Screens02:46

Genetic Screens

5.8K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.8K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Genetic Variation01:25

Genetic Variation

1.5K
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
1.5K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.2K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.2K
Data Validation01:15

Data Validation

3.3K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
3.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM.

Journal of imaging·2023
Same author

Special Issue on Machine Learning and AI for Sensors.

Sensors (Basel, Switzerland)·2023
Same author

A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets.

Sensors (Basel, Switzerland)·2021
Same author

Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction.

Journal of imaging·2021
Same author

Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques.

Medical & biological engineering & computing·2021
Same author

Smoothing and stationarity enforcement framework for deep learning time-series forecasting.

Neural computing & applications·2021
Same journal

ASSR-Net: Anisotropic Structure-Aware and Spectrally Recalibrated Network for Hyperspectral Image Fusion.

IEEE transactions on neural networks and learning systems·2026
Same journal

PIMPC-GNN: Physics-Informed Multiphase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks.

IEEE transactions on neural networks and learning systems·2026
Same journal

Quantum Rényi α-Entropies for Graph Characterization.

IEEE transactions on neural networks and learning systems·2026
Same journal

LANet: A Lightweight and Accurate Balanced Network Based on State Space Models for Real-Time Semantic Segmentation.

IEEE transactions on neural networks and learning systems·2026
Same journal

MENDNet: Memory-Enhanced Dependency Network for Multistock Movement Prediction.

IEEE transactions on neural networks and learning systems·2026
Same journal

Temporal Mask-Embedding Learning and Query-Refined Head Network for Visual Tracking.

IEEE transactions on neural networks and learning systems·2026
查看所有相关文章

相关实验视频

Updated: Mar 8, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.4K

GeNeX:基因网络专家解决验证过度装配问题的框架.

Emmanuel Pintelas, Ioannis E Livieris

    IEEE transactions on neural networks and learning systems
    |March 6, 2026
    PubMed
    概括
    此摘要是机器生成的。

    遗传网络 eXperts (GeNeXs) 通过将遗传进化与组合方法相结合,减少机器学习模型中的验证过拟合 (VO). 这一框架提高了模型的可靠性,特别是在数据不足或变化的环境中.

    更多相关视频

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.7K
    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    1.7K

    相关实验视频

    Last Updated: Mar 8, 2026

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.4K
    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.7K
    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    1.7K

    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 计算机视觉 计算机视觉

    背景情况:

    • 验证过拟合 (VO) 发生在模型在验证数据上表现良好,但在测试数据上表现不佳时.
    • 这一问题在数据不足的场景和分布转移下加剧,从而损害了模型的可靠性.
    • 当前的组合方法通常依赖于验证分数,使它们易受VO的影响.

    研究的目的:

    • 引入基因网络 eXperts (GeNeXs),这是一个旨在减轻验证过度拟合的新型框架.
    • 增强组合模型的稳定性和概括能力.
    • 提高机器学习模型在现实世界部署中的可靠性.

    主要方法:

    • GeNeXs采用双重路径策略:基于梯度的培训和基因模型演化,以实现强大的模型生成.
    • 候选网络通过预测行为进行集群,以确定组合构建的互补模型空间.
    • 原型网络是通过重量级的不同专家的融合而形成的,最终的集合预测是使用顺序二次编程 (SQP) 进行优化的.

    主要成果:

    • 在四个现实世界图像分类任务中,GeNeX表现出与最先进的组合相比的一致的优异性.
    • 该框架在有限的数据和转移意识条件下显示出强大的概括能力.
    • 实验证实了最小的验证过拟合差距,突出显示了GeNeX的弹性.

    结论:

    • GeNeXs有效地解决了模型生成和组合构建中的验证过拟合问题.
    • 拟议的VO-aware评估协议模拟了现实的部署挑战.
    • GeNeX提供了一个可靠的解决方案,用于构建强大的和可泛化的机器学习组合.