Overfitting problem and the over-training in the era of data: Particularly for Artificial Neural Networks

ImageNet: A large-scale hierarchical image database

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Untitled work

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A Review on Multi-Label Learning Algorithms

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Mining Multi-label Data

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Artificial Neural Networks for Modelling and Control of Non-Linear Systems

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Tree ensembles for predicting structured outputs

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A Framework for Decision Fusion in Image Forensics Based on Dempster–Shafer Theory of Evidence

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Multi-label classification with Bayesian network-based chain classifiers

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Application of RBF neural networks and unscented transformation in probabilistic power-flow of microgrids including correlated wind/PV units and plug-in hybrid electric vehicles

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Multi-label classification via multi-target regression on data streams

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Editing training data for multi-label classification with the k-nearest neighbor rule

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Overfitting Reduction of Text Classification Based on AdaBELM

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An Extensive Evaluation of Decision Tree–Based Hierarchical Multilabel Classification Methods and Performance Measures

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Towards a method for automatically selecting and configuring multi-label classification algorithms

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Load Flow Analysis of Distribution System Using Artificial Neural Networks

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A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

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Toward Reliable Compact Modeling of Multilevel 1T-1R RRAM Devices for Neuromorphic Systems

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Avoiding Overfitting in Deep Neural Networks for Clinical Opinions Generation from General Blood Test Results

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Evaluating Deep Neural Networks

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Data Augmentation Alone Can Improve Adversarial TrainingPreprint

Li, L., & Spratling, M. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2301.09879 · Cited by 9 · see citing works

Using the Strongest Adversarial Example to Alleviate Robust Overfitting

Xu, C., Tang, X., & Lu, P. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-22137-8_27 · Cited by 1 · see citing works

Comparison of two methods of adding jitter to artificial neural network training

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