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Knowledge Engineering Formalizing DECENT Meta Model
Blockchain governance has emerged as a research topic with the introduction of blockchain technology that allows for collaboration without a...
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Meta-learning methodology based on meta-unsupervised algorithm for meta-model selection to solve few-shot base-tasks
Humans can solve image classification tasks by learning from a few images and reusing prior-knowledge. In Artificial Intelligence, deep-learning...
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A neural meta model for predicting winter wheat crop yield
This study presents the development and evaluation of machine learning models to predict winter wheat crop yield using heterogeneous soil and weather...
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GroupMO: a memory-augmented meta-optimized model for group recommendation
Group recommendation aims to suggest desired items for a group of users. Existing methods can achieve inspiring results in predicting the group...
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Matching terms of quality models and meta-models: toward a unified meta-model of OSS quality
ContextIn the last two decades, open-source software (OSS) has gained increasing attention due to its voluntary supporters, growing community, and...
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A Meta-model for Digital Business Ecosystem Design
The Digital Business Ecosystem (DBE) theory has evolved to facilitate the functioning of open business networks by adopting the ecosystem paradigm...
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Meta-optimization
The legendary Donald Knuth was right about many things, but meta-optimization is indeed strong evidence that most people can be pretty happy...
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A Stacked Autoencoder Based Meta-Learning Model for Global Optimization
As optimization problems continue to become more complex, previous studies have demonstrated that algorithm performance varies depending on the...
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Enhancement of Cat Breeds Classification Model Based on Meta Loss Correction
In the area of image recognition, the quality of image label data has a significant impact on the performance of classification models. Therefore,...
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An improved sequential recommendation model based on spatial self-attention mechanism and meta learning
Sequential recommendation systems in cold-start scenarios aim to provide recommendations as accurately as possible for users with sparse behavior,...
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Multi-Modal Meta-Transfer Fusion Network for Few-Shot 3D Model Classification
Nowadays, driven by the increasing concern on 3D techniques, resulting in the large-scale 3D data, 3D model classification has attracted enormous...
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Quality evaluation meta-model for open-source software: multi-method validation study
In recent years, open-source software (OSS) has attracted increasing attention due to its easy accessibility via cloud repositories, voluntary...
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Submodular Meta Data Compiling for Meta Optimization
The search for good hyper-parameters is crucial for various deep learning methods. In addition to the hyper-parameter tuning on validation data,...
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Clothed Human Model Estimation from Unseen Partial Point Clouds with Meta-learning
This work aims to address the problems of clothed human reconstruction from unseen partial point clouds. Existing methods focus on estimating vertex...
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Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection
Data stream applications in highly dynamic environments often face concept drift problems, a phenomenon in which the statistical properties of the...
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Improving meta-learning model via meta-contrastive loss
Recently, addressing the few-shot learning issue with meta-learning framework achieves great success. As we know, regularization is a powerful...
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On a model-free meta-heuristic approach for unconstrained optimization
The efficacy of meta-heuristic algorithms has been demonstrated in solving unconstrained optimization problems. Inspired by the food foraging...
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Meta-learning Based on Multi-objective Optimization
Meta-learning aims to enable machine learning systems to learn how to learn, which makes it widely applicable in the field of few-shot learning. In...
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Critical antecedents of mobile learning acceptance and moderation effects: A meta-analysis on technology acceptance model
Mobile learning has gained significant recognition for its beneficial effects on learning across various dimensions. Nonetheless, ensuring consistent...
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Meta-HFMD: A Hierarchical Feature Fusion Malware Detection Framework via Multi-task Meta-learning
With the proliferation of malware, malware detection techniques have become more critical to protect the security and privacy of users. While...