Unsupervised feature selection via adaptive autoencoder with redundancy control

Adaptive Discriminant Analysis for Semi-supervised Feature Selection

(2021) Weichan Zhong et al.   INFORMATION SCIENCES

A CNN model embedded with local feature knowledge and its application to time-varying signal classification

(2021) Ruiping Yang et al.   NEURAL NETWORKS

Local preserving logistic I-Relief for semi-supervised feature selection

(2020) Baige Tang et al.   NEUROCOMPUTING

Unsupervised spectral mapping and feature selection for hyperspectral anomaly detection

(2020) Weiying Xie et al.   NEURAL NETWORKS

Deep-gKnock: Nonlinear group-feature selection with deep neural networks

(2020) Guangyu Zhu et al.   NEURAL NETWORKS

Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy

(2020) Jian Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

Cross-Modality Feature Learning via Convolutional Autoencoder

(2019) Xueliang Liu et al.   ACM Transactions on Multimedia Computing Communications and Applications

Unsupervised feature selection via latent representation learning and manifold regularization

(2019) Chang Tang et al.   NEURAL NETWORKS

Early Alzheimer’s disease diagnosis based on EEG spectral images using deep learning

(2019) Xiaojun Bi et al.   NEURAL NETWORKS

Label-specific feature selection and two-level label recovery for multi-label classification with missing labels

(2019) Jianghong Ma et al.   NEURAL NETWORKS

Multi-view adaptive semi-supervised feature selection with the self-paced learning

(2019) Caijuan Shi et al.   SIGNAL PROCESSING

Learning Optimized Structure of Neural Networks by Hidden Node Pruning With $L_{1}$ Regularization

(2019) Xuetao Xie et al.   IEEE Transactions on Cybernetics

Feature Selection for Neural Networks Using Group Lasso Regularization

(2019) Huaqing Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection

(2019) Shuangyan Yi et al.   IEEE Transactions on Neural Networks and Learning Systems

Feature Selection With Controlled Redundancy in a Fuzzy Rule Based Framework

(2018) I-Fang Chung et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation

(2018) Siwei Feng et al.   NEUROCOMPUTING

A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method

(2018) Jian Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

Exploiting Combination Effect for Unsupervised Feature Selection by ℓ2,0 Norm

(2018) Xingzhong Du et al.   IEEE Transactions on Neural Networks and Learning Systems

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection

(2018) Xuelong Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Learning a discriminant graph-based embedding with feature selection for image categorization

(2018) Ruifeng Zhu et al.   NEURAL NETWORKS

Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation

(2018) Yan Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition

(2017) Chao Yao et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Multiobjective Genetic Programming-Based Ensemble for Simultaneous Feature Selection and Classification

(2016) Kaustuv Nag et al.   IEEE Transactions on Cybernetics

Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR)

(2015) Monami Banerjee et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Unsupervised feature selection by regularized self-representation

(2015) Pengfei Zhu et al.   PATTERN RECOGNITION

Feature Selection Using a Neural Framework With Controlled Redundancy

(2015) Rudrasis Chakraborty et al.   IEEE Transactions on Neural Networks and Learning Systems

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Discriminant sparse neighborhood preserving embedding for face recognition

(2012) Jie Gui et al.   PATTERN RECOGNITION

On the Complexity of Discrete Feature Selection for Optimal Classification

(2010) Jose M Peña et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A new wrapper feature selection approach using neural network

(2010) Md. Monirul Kabir et al.   NEUROCOMPUTING

Supervised feature selection by clustering using conditional mutual information-based distances

(2009) José Martínez Sotoca et al.   PATTERN RECOGNITION