On the public citation graph

Supervised feature selection via dependence estimation

https://doi.org/10.1145/1273496.1273600
0 signed · 377 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470316481openalex-snapshot
Approximation Theorems of Mathematical Statistics
inferredcites →https://doi.org/10.1007/11564089_7openalex-snapshot
Measuring Statistical Dependence with Hilbert-Schmidt Norms
inferredcites →https://doi.org/10.1007/11941439_21openalex-snapshot
An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics
inferredcites →https://doi.org/10.1007/3-540-33486-6_8openalex-snapshot
On Kernel Target Alignment
inferredcites →https://doi.org/10.1007/978-0-387-21606-5openalex-snapshot
The Elements of Statistical Learning
inferredcites →https://doi.org/10.1007/978-3-540-45167-9_11openalex-snapshot
On Graph Kernels: Hardness Results and Efficient Alternatives
inferredcites →https://doi.org/10.1007/s10994-005-1505-9openalex-snapshot
Combined SVM-Based Feature Selection and Classification
inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50037-1openalex-snapshot
A Practical Approach to Feature Selection
inferredcites →https://doi.org/10.1023/a:1012487302797openalex-snapshot
Gene Selection for Cancer Classification using Support Vector Machines
inferredcites →https://doi.org/10.1038/415530aopenalex-snapshot
Gene expression profiling predicts clinical outcome of breast cancer
inferredcites →https://doi.org/10.1073/pnas.0601231103openalex-snapshot
Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
inferredcites →https://doi.org/10.1073/pnas.082099299openalex-snapshot
Diagnosis of multiple cancer types by shrunken centroids of gene expression
inferredcites →https://doi.org/10.1090/s0002-9947-1973-0336795-3openalex-snapshot
Joint Measures and Cross-Covariance Operators
inferredcites →https://doi.org/10.1093/bioinformatics/btl242openalex-snapshot
Integrating structured biological data by Kernel Maximum Mean Discrepancy
inferredcites →https://doi.org/10.1109/tbme.2004.827088openalex-snapshot
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
inferredcites →https://doi.org/10.1109/tbme.2005.851521openalex-snapshot
Spatio-spectral filters for improving the classification of single trial EEG
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1162/153244302760185252openalex-snapshot
10.1162/153244302760185252
inferredcites →https://doi.org/10.1214/ss/1056397488openalex-snapshot
Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays
inferredcites →https://doi.org/10.21236/ada446572openalex-snapshot
Dimensionality Reduction for Supervised Learning With Reproducing Kernel Hilbert Spaces
inferredcites →https://doi.org/10.2202/1544-6115.1027openalex-snapshot
Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
inferredcites →https://doi.org/10.2307/1403753openalex-snapshot
A Consistent Test for Bivariate Dependence
inferredcites →https://doi.org/10.48550/arxiv.1408.1487openalex-snapshot
Robust Feature Selection by Mutual Information Distributions
inferredcites →https://doi.org/10.5555/944919.944968openalex-snapshot
An introduction to variable and feature selection
inferredcites →https://doi.org/10.5555/944919.944982openalex-snapshot
Use of the zero norm with linear models and kernel methods
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0065openalex-snapshot
Entropy and Inference, Revisited
inferredcites →https://doi.org/10.7551/mitpress/4057.001.0001openalex-snapshot
Kernel Methods in Computational Biology
inferredcites →https://doi.org/10.7551/mitpress/4175.001.0001openalex-snapshot
Learning with Kernels

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4552873openalex-extracted
Data Preprocessing and Expert Knowledge Integration for Feature Selection in Process Industry
inferred← citeshttps://doi.org/10.1002/9781118617151.ch16openalex-snapshot
Survey of Novel Feature Selection Methods for Cancer Classification
inferred← citeshttps://doi.org/10.1002/asmb.2899openalex-snapshot
Quantization‐Based Latin Hypercube Sampling for Dependent Inputs With an Application to Sensitivity Analysis of Environmental Models
inferred← citeshttps://doi.org/10.1002/qre.3638openalex-snapshot
Sensitivity analysis for sets: Application to pollutant concentration maps
inferred← citeshttps://doi.org/10.1007/978-1-4020-8889-6_4openalex-snapshot
Multi-Task BCI for Online Game Control
inferred← citeshttps://doi.org/10.1007/978-1-59745-243-4_19openalex-snapshot
Connecting Protein Interaction Data, Mutations, and Disease Using Bioinformatics
inferred← citeshttps://doi.org/10.1007/978-3-030-10928-8_11openalex-snapshot
Large-Scale Nonlinear Variable Selection via Kernel Random Features
inferred← citeshttps://doi.org/10.1007/978-3-030-22871-2_66openalex-snapshot
Performance Analysis of Feature Selection Methods for Classification of Healthcare Datasets
inferred← citeshttps://doi.org/10.1007/978-3-030-66288-2_6openalex-snapshot
Two-Steps Wrapper-Based Feature Selection in Classification: A Comparison Between Continuous and Binary Variants of Cuckoo Optimisation Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-030-71975-3_7openalex-snapshot
Feature Extraction and Classification of Colon Cancer Using a Hybrid Approach of Supervised and Unsupervised Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-73194-6_25openalex-snapshot
DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-74761-9_2openalex-snapshot
Evolutionary Algorithm Based Summarization for Analyzing COVID-19 Medical Reports
inferred← citeshttps://doi.org/10.1007/978-3-030-85899-5_3openalex-snapshot
Data Augmentation for Graph Convolutional Network on Semi-supervised Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-86534-4_23openalex-snapshot
Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review
inferred← citeshttps://doi.org/10.1007/978-3-031-10562-3_1openalex-snapshot
External Climate Data Extraction Using the Forward Feature Selection Method in the Context of Occupational Safety
inferred← citeshttps://doi.org/10.1007/978-3-031-12402-0_3openalex-snapshot
Interpretability via Random Forests
inferred← citeshttps://doi.org/10.1007/978-3-031-17544-2_7openalex-snapshot
Hybridization of Fuzzy Theory and Nature-Inspired Optimization for Medical Report Summarization
inferred← citeshttps://doi.org/10.1007/978-3-031-20497-5_40openalex-snapshot
Spatial-Temporal Contextual Feature Fusion Network for Movie Description
inferred← citeshttps://doi.org/10.1007/978-3-031-40292-0_24openalex-snapshot
Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-46661-8_15openalex-snapshot
STMC-GCN: A Span Tagging Multi-channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
inferred← citeshttps://doi.org/10.1007/978-3-031-73122-8_35openalex-snapshot
IterSHAP: An XAI-Based Feature Selection Method for Small High-Dimensional Datasets
inferred← citeshttps://doi.org/10.1007/978-3-031-78943-4_46openalex-snapshot
Metaheuristics and Hybrid Evolutionary Methods for Feature Selection
inferred← citeshttps://doi.org/10.1007/978-3-031-83793-7_5openalex-snapshot
Entropy Based Embedded Unsupervised Feature Selection
inferred← citeshttps://doi.org/10.1007/978-3-319-56148-6_3openalex-snapshot
A Meta-Review of Feature Selection Techniques in the Context of Microarray Data
inferred← citeshttps://doi.org/10.1007/978-3-319-71249-9_17openalex-snapshot
Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links
inferred← citeshttps://doi.org/10.1007/978-3-319-91253-0_58openalex-snapshot
Probabilistic Feature Selection in Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-540-75225-7_5openalex-snapshot
A Hilbert Space Embedding for Distributions
inferred← citeshttps://doi.org/10.1007/978-3-540-88436-1_25openalex-snapshot
Microarray Design Using the Hilbert–Schmidt Independence Criterion
inferred← citeshttps://doi.org/10.1007/978-3-642-03348-3_24openalex-snapshot
Semi-supervised Discriminant Analysis Based on Dependence Estimation
inferred← citeshttps://doi.org/10.1007/978-3-642-04394-9_4openalex-snapshot
Supervised Feature Extraction Using Hilbert-Schmidt Norms
inferred← citeshttps://doi.org/10.1007/978-3-642-05224-8_2openalex-snapshot
Density Ratio Estimation: A New Versatile Tool for Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-13025-0_65openalex-snapshot
Novel Method for Feature-Set Ranking Applied to Physical Activity Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-15880-3_36openalex-snapshot
Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information
inferred← citeshttps://doi.org/10.1007/978-3-642-16345-6_15openalex-snapshot
Kernel Methods in Bioinformatics
inferred← citeshttps://doi.org/10.1007/978-3-642-23780-5_45openalex-snapshot
Linear Discriminant Dimensionality Reduction
inferred← citeshttps://doi.org/10.1007/978-3-642-28490-8_2openalex-snapshot
Improving Nearest Neighbor Classification by Elimination of Noisy Irrelevant Features
inferred← citeshttps://doi.org/10.1007/978-3-642-33460-3_21openalex-snapshot
Massively Parallel Feature Selection: An Approach Based on Variance Preservation
inferred← citeshttps://doi.org/10.1007/978-3-662-44848-9_29openalex-snapshot
Automatic Design of Neuromarkers for OCD Characterization
inferred← citeshttps://doi.org/10.1007/978-981-10-3002-4_58openalex-snapshot
Kernel Learning with Hilbert-Schmidt Independence Criterion
inferred← citeshttps://doi.org/10.1007/978-981-10-3002-4_61openalex-snapshot
Robust Multi-label Feature Selection with Missing Labels
inferred← citeshttps://doi.org/10.1007/978-981-15-7376-7_4openalex-snapshot
Dominating Factors Affecting Individual Retweeting Behavior
inferred← citeshttps://doi.org/10.1007/978-981-16-7610-9_40openalex-snapshot
Prediction of Carcinoma Cancer Type Using Deep Reinforcement Learning Technique from Gene Expression Data
inferred← citeshttps://doi.org/10.1007/978-981-19-8493-8_44openalex-snapshot
Anomaly Based Intrusion Detection Systems in Computer Networks: Feedforward Neural Networks and Nearest Neighbor Models as Binary Classifiers
inferred← citeshttps://doi.org/10.1007/978-981-97-0801-7_8openalex-snapshot
Graph Structure Learning-Based Compression Method for Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1007/s00500-022-06912-4openalex-snapshot
A new approach for fuzzy classification by a multiple-attribute decision-making model
inferred← citeshttps://doi.org/10.1007/s00521-020-05507-0openalex-snapshot
Improved adaptive neuro-fuzzy inference system based on modified glowworm swarm and differential evolution optimization algorithm for medical diagnosis
inferred← citeshttps://doi.org/10.1007/s00521-022-07705-4openalex-snapshot
Multiclass feature selection with metaheuristic optimization algorithms: a review
inferred← citeshttps://doi.org/10.1007/s00521-025-11264-9openalex-snapshot
FaLa: feature-augmented location-aware transformer network for graph representation learning
inferred← citeshttps://doi.org/10.1007/s10115-010-0348-2openalex-snapshot
Obtaining scalable and accurate classification in large-scale spatio-temporal domains
inferred← citeshttps://doi.org/10.1007/s10115-013-0613-2openalex-snapshot
An efficient orientation distance–based discriminative feature extraction method for multi-classification
inferred← citeshttps://doi.org/10.1007/s10182-020-00378-1openalex-snapshot
The exact equivalence of distance and kernel methods in hypothesis testing
inferred← citeshttps://doi.org/10.1007/s10489-021-02550-9openalex-snapshot
A comprehensive survey on feature selection in the various fields of machine learning
inferred← citeshttps://doi.org/10.1007/s10489-021-03076-wopenalex-snapshot
Wrapper feature selection with partially labeled data
inferred← citeshttps://doi.org/10.1007/s10489-023-04893-xopenalex-snapshot
Joint learning of graph and latent representation for unsupervised feature selection
inferred← citeshttps://doi.org/10.1007/s10489-023-05223-xopenalex-snapshot
An augmented AI-based hybrid fraud detection framework for invoicing platforms
inferred← citeshttps://doi.org/10.1007/s10618-022-00840-5openalex-snapshot
Grouped feature importance and combined features effect plot
inferred← citeshttps://doi.org/10.1007/s10898-013-0134-2openalex-snapshot
Sparse optimization in feature selection: application in neuroimaging
inferred← citeshttps://doi.org/10.1007/s10915-022-02083-4openalex-snapshot
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning
inferred← citeshttps://doi.org/10.1007/s10994-013-5373-4openalex-snapshot
Massively parallel feature selection: an approach based on variance preservation
inferred← citeshttps://doi.org/10.1007/s10994-017-5664-2openalex-snapshot
The randomized information coefficient: assessing dependencies in noisy data
inferred← citeshttps://doi.org/10.1007/s11042-017-4943-zopenalex-snapshot
Coupled source domain targetized with updating tag vectors for micro-expression recognition
inferred← citeshttps://doi.org/10.1007/s11042-022-13903-yopenalex-snapshot
Completed sample correlations and feature dependency-based unsupervised feature selection
inferred← citeshttps://doi.org/10.1007/s11063-020-10331-7openalex-snapshot
Label Embedding for Multi-label Classification Via Dependence Maximization
inferred← citeshttps://doi.org/10.1007/s11704-016-5489-3openalex-snapshot
A survey on online feature selection with streaming features
inferred← citeshttps://doi.org/10.1007/s12559-023-10222-8openalex-snapshot
MC-GAT: Multi-Channel Graph Attention Networks for Capturing Diverse Information in Complex Graphs
inferred← citeshttps://doi.org/10.1007/s43681-023-00363-9openalex-snapshot
A statistical approach to detect disparity prone features in a group fairness setting
inferred← citeshttps://doi.org/10.1007/s44196-024-00598-2openalex-snapshot
Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection
inferred← citeshttps://doi.org/10.1016/j.aei.2024.102810openalex-snapshot
Autoencoder-Based fault detection using building automation system data
inferred← citeshttps://doi.org/10.1016/j.apacoust.2019.03.018openalex-snapshot
A hybrid measure for the discrimination of the acoustic signals: Feature matrix (FMx)
inferred← citeshttps://doi.org/10.1016/j.asoc.2017.04.024openalex-snapshot
Sensitivity maps of the Hilbert–Schmidt independence criterion
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107353openalex-snapshot
Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions
inferred← citeshttps://doi.org/10.1016/j.bspc.2019.01.015openalex-snapshot
Estimation of heartbeat rate from speech recording with hybrid feature vector (HFV)
inferred← citeshttps://doi.org/10.1016/j.bspc.2019.101842openalex-snapshot
Blood pressure prediction from speech recordings
inferred← citeshttps://doi.org/10.1016/j.camwa.2013.08.008openalex-snapshot
Fuzzy rough based regularization in Generalized Multiple Kernel Learning
inferred← citeshttps://doi.org/10.1016/j.compag.2017.02.026openalex-snapshot
An improved moth flame optimization algorithm based on rough sets for tomato diseases detection
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105823openalex-snapshot
MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder
inferred← citeshttps://doi.org/10.1016/j.csbj.2024.03.016openalex-snapshot
Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data
inferred← citeshttps://doi.org/10.1016/j.cviu.2026.104973openalex-snapshot
TARP: Text-Augmented Re-centered Projection for few-shot CLIP adaptation
inferred← citeshttps://doi.org/10.1016/j.eij.2016.12.001openalex-snapshot
Gene expression based cancer classification
inferred← citeshttps://doi.org/10.1016/j.enbuild.2020.110492openalex-snapshot
Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.engappai.2015.07.023openalex-snapshot
Dependence maximization based label space dimension reduction for multi-label classification
inferred← citeshttps://doi.org/10.1016/j.eswa.2011.04.038openalex-snapshot
Anomaly detection techniques for a web defacement monitoring service
inferred← citeshttps://doi.org/10.1016/j.eswa.2011.12.003openalex-snapshot
Feature subset selection with cumulate conditional mutual information minimization
inferred← citeshttps://doi.org/10.1016/j.eswa.2015.01.069openalex-snapshot
Similarity of feature selection methods: An empirical study across data intensive classification tasks
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.10.028openalex-snapshot
Observational data-driven modeling and optimization of manufacturing processes
inferred← citeshttps://doi.org/10.1016/j.forsciint.2016.03.035openalex-snapshot
An evolution of image source camera attribution approaches
inferred← citeshttps://doi.org/10.1016/j.ins.2018.12.034openalex-snapshot
A factor graph model for unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2011.09.008openalex-snapshot
Relevance assessment of full-waveform lidar data for urban area classification
inferred← citeshttps://doi.org/10.1016/j.jmva.2022.105081openalex-snapshot
Distribution-free and model-free multivariate feature screening via multivariate rank distance correlation
inferred← citeshttps://doi.org/10.1016/j.jmva.2023.105160openalex-snapshot
Independence tests with random subspace of two random vectors in high dimension
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2016.01.003openalex-snapshot
Nonlinear association criterion, nonlinear Granger causality and related issues with applications to neuroimage studies
inferred← citeshttps://doi.org/10.1016/j.knosys.2014.03.022openalex-snapshot
Feature selection using data envelopment analysis
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107567openalex-snapshot
Learning with Hilbert–Schmidt independence criterion: A review and new perspectives
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111965openalex-snapshot
FDR-MSA: Enhancing multimodal sentiment analysis through feature disentanglement and reconstruction
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116191openalex-snapshot
DAGNN: Disentangled Asymmetric Graph Neural Network for unsupervised graph domain adaptation
inferred← citeshttps://doi.org/10.1016/j.mayocp.2022.01.028openalex-snapshot
Machine Learning Techniques Differentiate Alcohol-Associated Hepatitis From Acute Cholangitis in Patients With Systemic Inflammation and Elevated Liver Enzymes
inferred← citeshttps://doi.org/10.1016/j.measurement.2019.03.015openalex-snapshot
Feasible analysis of gene expression –a computational based classification for breast cancer
inferred← citeshttps://doi.org/10.1016/j.media.2020.101953openalex-snapshot
Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis
inferred← citeshttps://doi.org/10.1016/j.neucom.2013.09.041openalex-snapshot
Globality and locality incorporation in distance metric learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.03.081openalex-snapshot
Feature selection for classification with class-separability strategy and data envelopment analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.05.090openalex-snapshot
Learning shared subspace for multi-label dimensionality reduction via dependence maximization
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.02.034openalex-snapshot
Robust unsupervised feature selection via matrix factorization
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.10.055openalex-snapshot
A feature selection approach based on sensitivity of RBFNNs
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.11.077openalex-snapshot
Feature selection in machine learning: A new perspective
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.05.117openalex-snapshot
Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.04.073openalex-snapshot
Unsupervised feature selection via multi-step markov probability relationship
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127260openalex-snapshot
Adaptive multi-channel Bayesian Graph Neural Network
inferred← citeshttps://doi.org/10.1016/j.neunet.2015.08.004openalex-snapshot
Budget constrained non-monotonic feature selection
inferred← citeshttps://doi.org/10.1016/j.neunet.2022.11.027openalex-snapshot
Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106518openalex-snapshot
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
inferred← citeshttps://doi.org/10.1016/j.patcog.2010.12.015openalex-snapshot
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds
inferred← citeshttps://doi.org/10.1016/j.patcog.2013.02.010openalex-snapshot
A local information-based feature-selection algorithm for data regression
inferred← citeshttps://doi.org/10.1016/j.patcog.2014.08.004openalex-snapshot
Subspace learning for unsupervised feature selection via matrix factorization
inferred← citeshttps://doi.org/10.1016/j.patcog.2019.04.020openalex-snapshot
Nonnegative Laplacian embedding guided subspace learning for unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107663openalex-snapshot
Pairwise dependence-based unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109955openalex-snapshot
Attack-invariant attention feature for adversarial defense in hyperspectral image classification
inferred← citeshttps://doi.org/10.1016/j.patrec.2014.05.020openalex-snapshot
Feature selection using Principal Component Analysis for massive retweet detection
inferred← citeshttps://doi.org/10.1016/j.patrec.2014.06.010openalex-snapshot
Cell morphology based classification for red cells in blood smear images
inferred← citeshttps://doi.org/10.1016/j.petrol.2016.09.044openalex-snapshot
Well-testing model identification using time-series shapelets
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.357openalex-snapshot
Entropy Dependency-based Unsupervised Feature Selection
inferred← citeshttps://doi.org/10.1049/ipr2.12285openalex-snapshot
Tensor dimensionality reduction via mode product and HSIC
inferred← citeshttps://doi.org/10.1061/(asce)he.1943-5584.0000403openalex-snapshot
Variable Selection Using the Gamma Test Forward and Backward Selections
inferred← citeshttps://doi.org/10.1080/00401706.2024.2336537openalex-snapshot
Kernel-based Sensitivity Analysis for (Excursion) Sets
inferred← citeshttps://doi.org/10.1088/2057-1976/adcf2bopenalex-snapshot
Feature selection for classification based on machine learning algorithms for prostate cancer
inferred← citeshttps://doi.org/10.1093/bib/bbab291openalex-snapshot
Comparative analysis of molecular fingerprints in prediction of drug combination effects
inferred← citeshttps://doi.org/10.1101/2020.09.30.320515openalex-snapshot
Nonlinear post-selection inference for genome-wide association studies
inferred← citeshttps://doi.org/10.1101/2021.01.26.428323openalex-snapshot
Training neural networks to recognize speech increased their correspondence to the human auditory pathway but did not yield a shared hierarchy of acoustic features
inferred← citeshttps://doi.org/10.1101/2021.04.16.439299openalex-snapshot
Comparative analysis of molecular representations in prediction of drug combination effects
inferred← citeshttps://doi.org/10.1108/ijqrm-11-2021-0408openalex-snapshot
Auto-encoder-based algorithm for the selection of key characteristics for products to reduce inspection efforts
inferred← citeshttps://doi.org/10.1109/access.2018.2871825openalex-snapshot
Nonlinear Dimensionality Reduction Based on HSIC Maximization
inferred← citeshttps://doi.org/10.1109/access.2019.2944295openalex-snapshot
On the Feature Selection Methods and Reject Option Classifiers for Robust Cancer Prediction
inferred← citeshttps://doi.org/10.1109/access.2020.2996685openalex-snapshot
Discriminative Feature Selection-Based Motor Imagery Classification Using EEG Signal
inferred← citeshttps://doi.org/10.1109/access.2021.3089036openalex-snapshot
Comparative Analysis Review of Pioneering DBSCAN and Successive Density-Based Clustering Algorithms
inferred← citeshttps://doi.org/10.1109/access.2022.3172281openalex-snapshot
Gene Selection in Binary Classification Problems Within Functional Genomics Experiments via Robust Fisher Score
inferred← citeshttps://doi.org/10.1109/acssc.2018.8645362openalex-snapshot
Graph Regularized Autoencoder-Based Unsupervised Feature Selection
inferred← citeshttps://doi.org/10.1109/aiccsa.2016.7945645openalex-snapshot
OFSF-BC: Online feature selection framework for binary classification
inferred← citeshttps://doi.org/10.1109/aict47866.2019.8981771openalex-snapshot
Impact of Feature Selection Methods on the Perfromance of Credit Risk Classification Algorithms
inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9995517openalex-snapshot
Adaptive Multi-view Graph Convolutional Network for Gene Ontology Annotations of Proteins
inferred← citeshttps://doi.org/10.1109/ccisp59915.2023.10355775openalex-snapshot
Surrogate-Assisted Cooperative Lion Swarm Optimization Algorithm for High-Dimensional Feature Selection
inferred← citeshttps://doi.org/10.1109/cw.2019.00047openalex-snapshot
Electroencephalography Based Motor Imagery Classification Using Unsupervised Feature Selection
inferred← citeshttps://doi.org/10.1109/ddcls.2018.8515956openalex-snapshot
Unsupervised Fault Detection Based on Laplacian Score and TEDA
inferred← citeshttps://doi.org/10.1109/dese.2016.70openalex-snapshot
A Robust Feature Selection Algorithm
inferred← citeshttps://doi.org/10.1109/fskd.2012.6233853openalex-snapshot
Fuzzy rough based regularization in Generalized Multiple Kernel Learning
inferred← citeshttps://doi.org/10.1109/fskd.2013.6816279openalex-snapshot
Manifold based fisher method for semi-supervised feature selection
inferred← citeshttps://doi.org/10.1109/fskd.2016.7603412openalex-snapshot
Text feature selection approach by means of class difference
inferred← citeshttps://doi.org/10.1109/globalsip.2017.8309055openalex-snapshot
Multiclass Bayesian feature selection
inferred← citeshttps://doi.org/10.1109/globalsip.2018.8646612openalex-snapshot
BAYESIAN FEATURE SELECTION WITH DATA INTEGRATION
inferred← citeshttps://doi.org/10.1109/icacite51222.2021.9404623openalex-snapshot
Feature Selection in Machine Learning: Methods and Comparison
inferred← citeshttps://doi.org/10.1109/icaice63571.2024.10864286openalex-snapshot
Directed Adaptive Multi-Channel Graph Convolutional Network
inferred← citeshttps://doi.org/10.1109/icassp.2019.8682731openalex-snapshot
Unsupervised Feature Selection Based on Reconstruction Error Minimization
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447872openalex-snapshot
A Fine-Grained Tri-Modal Interaction Model for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/icbda.2018.8367701openalex-snapshot
App usage prediction based on an extended feature selection method RSPECMIC
inferred← citeshttps://doi.org/10.1109/icdm.2009.24openalex-snapshot
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
inferred← citeshttps://doi.org/10.1109/icdm.2012.92openalex-snapshot
Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates
inferred← citeshttps://doi.org/10.1109/icdm.2015.42openalex-snapshot
Towards Mining Trapezoidal Data Streams
inferred← citeshttps://doi.org/10.1109/icedsa.2016.7818483openalex-snapshot
Cancer classification ensemble system based on gene expression profiles
inferred← citeshttps://doi.org/10.1109/icicip.2018.8606693openalex-snapshot
Semi-Supervised Multi-Label Feature Selection based on Sparsity Regularization and Dependence Maximization
inferred← citeshttps://doi.org/10.1109/icip.2008.4712000openalex-snapshot
Using sensor pattern noise for camera model identification
inferred← citeshttps://doi.org/10.1109/icip.2018.8451101openalex-snapshot
Unsupervised Feature Selection with Local Structure Learning
inferred← citeshttps://doi.org/10.1109/icraie.2014.6909131openalex-snapshot
Unsupervised feature selection for linked data
inferred← citeshttps://doi.org/10.1109/igarss.2014.6947252openalex-snapshot
Relevant and invariant feature selection of hyperspectral images for domain generalization
inferred← citeshttps://doi.org/10.1109/igarss.2015.7326115openalex-snapshot
Band weighting and selection based on hyperplane margin maximization for hyperspectral image classification
inferred← citeshttps://doi.org/10.1109/ijcnn.2010.5596635openalex-snapshot
Ambient living activity recognition based on feature-set ranking using intelligent systems
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191646openalex-snapshot
Variance Tolerance Factors For Interpreting All Neural Networks
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191985openalex-snapshot
FsNet: Feature Selection Network on High-dimensional Biological Data
inferred← citeshttps://doi.org/10.1109/infocom53939.2023.10228895openalex-snapshot
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/ivcnz.2018.8634682openalex-snapshot
Blind Facial Basis Discovery Using the Hilbert-Schmidt Independence Criterion
inferred← citeshttps://doi.org/10.1109/iwis69004.2025.11339413openalex-snapshot
Kernel-Based Analysis of Impedance Spectroscopy in a Quartz Crystal Microbalance Biosensor
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3481310openalex-snapshot
Agnostic-Specific Modality Learning for Cancer Survival Prediction From Multiple Data
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3540894openalex-snapshot
A Hierarchical Feature Extraction and Multimodal Deep Feature Integration-Based Model for Autism Spectrum Disorder Identification
inferred← citeshttps://doi.org/10.1109/lgrs.2010.2041896openalex-snapshot
Remote Sensing Feature Selection by Kernel Dependence Measures
inferred← citeshttps://doi.org/10.1109/mlsp.2010.5588682openalex-snapshot
A conditional independence perspective of variable selection
inferred← citeshttps://doi.org/10.1109/smc53992.2023.10394140openalex-snapshot
Spatial-Temporal Hierarchical Graph Convolutional Networks for Traffic Forecasting
inferred← citeshttps://doi.org/10.1109/spawc60668.2024.10694656openalex-snapshot
Wireless Image Semantic Cooperative Transmission in Distributed Edge Networks: An Information Disentanglement Method
inferred← citeshttps://doi.org/10.1109/taffc.2025.3633647openalex-snapshot
Multi-View Cognitive Prior Graph Convolutional Network for Multimodal Emotion Recognition
inferred← citeshttps://doi.org/10.1109/tai.2024.3436664openalex-snapshot
Cost-Efficient Feature Selection for Horizontal Federated Learning
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3522817openalex-snapshot
MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion
inferred← citeshttps://doi.org/10.1109/tbme.2025.3617348openalex-snapshot
Multilevel Correlation-Aware and Modal-Aware Graph Convolutional Network for Diagnosing Neurodevelopmental Disorders
inferred← citeshttps://doi.org/10.1109/tcbb.2009.51openalex-snapshot
A General Framework for Analyzing Data from Two Short Time-Series Microarray Experiments
inferred← citeshttps://doi.org/10.1109/tcbb.2013.151openalex-snapshot
Automatic Myonuclear Detection in Isolated Single Muscle Fibers Using Robust Ellipse Fitting and Sparse Representation
inferred← citeshttps://doi.org/10.1109/tcbb.2016.2631164openalex-snapshot
Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion
inferred← citeshttps://doi.org/10.1109/tcds.2025.3584652openalex-snapshot
Student-Pilot Error Prediction via Multimodal Physiological Signals and Tree-Based Models
inferred← citeshttps://doi.org/10.1109/tcss.2022.3176928openalex-snapshot
Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks
inferred← citeshttps://doi.org/10.1109/tcss.2024.3504290openalex-snapshot
Health Insurance Fraud Detection via Multiview Heterogeneous Information Networks With Augmented Graph Structure Learning
inferred← citeshttps://doi.org/10.1109/tcss.2025.3583711openalex-snapshot
A Multimodal Sentiment Analysis Approach Based on Multiview Cross-Modal Fusion
inferred← citeshttps://doi.org/10.1109/tcsvt.2015.2475835openalex-snapshot
Fast Action Localization in Large-Scale Video Archives
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3435561openalex-snapshot
Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3528980openalex-snapshot
Robust Multi-Agent Collaborative Perception via Spatio-Temporal Awareness
inferred← citeshttps://doi.org/10.1109/tcyb.2016.2609408openalex-snapshot
Feature Selection Through Message Passing
inferred← citeshttps://doi.org/10.1109/tevc.2022.3149601openalex-snapshot
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification
inferred← citeshttps://doi.org/10.1109/tfuzz.2024.3434614openalex-snapshot
A Multimodal Sentiment Analysis Method Based on Fuzzy Attention Fusion
inferred← citeshttps://doi.org/10.1109/tgrs.2015.2503885openalex-snapshot
Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning
inferred← citeshttps://doi.org/10.1109/tim.2023.3330211openalex-snapshot
Multiple Collaboration Preserving Projection for Monitoring of Complex Industrial Process
inferred← citeshttps://doi.org/10.1109/tip.2019.2900646openalex-snapshot
Discerning Feature Supported Encoder for Image Representation
inferred← citeshttps://doi.org/10.1109/tip.2020.3011253openalex-snapshot
Unsupervised Feature Selection Via Data Reconstruction and Side Information
inferred← citeshttps://doi.org/10.1109/tkde.2015.2441716openalex-snapshot
Online Feature Selection with Group Structure Analysis
inferred← citeshttps://doi.org/10.1109/tkde.2015.2455509openalex-snapshot
Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR)
inferred← citeshttps://doi.org/10.1109/tkde.2016.2563424openalex-snapshot
Online Learning from Trapezoidal Data Streams
inferred← citeshttps://doi.org/10.1109/tkde.2023.3271772openalex-snapshot
Towards Adaptive Information Fusion in Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/tkde.2023.3317631openalex-snapshot
Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining
showing the first 200 of 349
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.