On the public citation graph

Fast Binary Feature Selection with Conditional Mutual Information

0 signed · 592 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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 points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.3985430openalex-extracted
Feature Selection Method Based on the Intra-Class Redundant Information Ratio
inferred← citeshttps://doi.org/10.2139/ssrn.4137571openalex-extracted
Random Feature Selection Using Random Subspace Logistic Regression
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.ch17openalex-snapshot
Information‐Theoretic Gene Selection In Expression Data
inferred← citeshttps://doi.org/10.1002/9781118763117.refsopenalex-snapshot
References
inferred← citeshttps://doi.org/10.1002/cnm.2953openalex-snapshot
Machine learning–based diagnosis of melanoma using macro images
inferred← citeshttps://doi.org/10.1002/jcla.22024openalex-snapshot
Feature Analysis and Automatic Identification of Leukemic Lineage Blast Cells and Reactive Lymphoid Cells from Peripheral Blood Cell Images
inferred← citeshttps://doi.org/10.1002/jemt.22874openalex-snapshot
Nuclear spatial and spectral features based evolutionary method for meningioma subtypes classification in histopathology
inferred← citeshttps://doi.org/10.1002/jrsm.1311openalex-snapshot
Prioritising references for systematic reviews with RobotAnalyst: A user study
inferred← citeshttps://doi.org/10.1002/qre.2119openalex-snapshot
Screening Active Effects in Supersaturated Designs with Binary Response via Control Charts
inferred← citeshttps://doi.org/10.1002/qre.2738openalex-snapshot
Feature selection methods for root‐cause analysis among top‐level product attributes
inferred← citeshttps://doi.org/10.1002/sec.303openalex-snapshot
An information theoretic approach for feature selection
inferred← citeshttps://doi.org/10.1007/978-1-4302-5930-5openalex-snapshot
Computer Vision Metrics: Survey, Taxonomy, and Analysis
inferred← citeshttps://doi.org/10.1007/978-1-4302-5930-5_13openalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1007/978-3-642-41822-8_35openalex-snapshot
A Feature Set Decomposition Method for the Construction of Multi-classifier Systems Trained with High-Dimensional Data
inferred← citeshttps://doi.org/10.1007/s00521-013-1368-0openalex-snapshot
A review of feature selection methods based on mutual information
inferred← citeshttps://doi.org/10.1007/s11222-015-9589-yopenalex-snapshot
Extensions of stability selection using subsamples of observations and covariates
inferred← citeshttps://doi.org/10.1016/b978-0-12-398537-8.00021-3openalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1016/b978-0-12-819045-6.00002-9openalex-snapshot
Applying an efficient evolutionary algorithm for EEG signal feature selection and classification in decision-based systems
inferred← citeshttps://doi.org/10.1016/j.acra.2017.07.007openalex-snapshot
Differential Aging Signals in Abdominal CT Scans
inferred← citeshttps://doi.org/10.1016/j.artmed.2008.11.004openalex-snapshot
Noise-tolerant electrocardiogram beat classification based on higher order statistics of subband components
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.08.031openalex-snapshot
Feature unionization: A novel approach for dimension reduction
inferred← citeshttps://doi.org/10.1016/j.asoc.2019.105581openalex-snapshot
Evolutionary feature subsets selection based on interaction information for high dimensional imbalanced data classification
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106299openalex-snapshot
Feature selection via normative fuzzy information weight with application into tumor classification
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106718openalex-snapshot
A Self-organizing Deep Auto-Encoder approach for Classification of Complex Diseases using SNP Genomics Data
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107729openalex-snapshot
An efficient feature selection framework based on information theory for high dimensional data
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.108437openalex-snapshot
A reinforcement learning guided adaptive cost-sensitive feature acquisition method
inferred← citeshttps://doi.org/10.1016/j.autcon.2019.102833openalex-snapshot
Data mining approach to construction productivity prediction for cutter suction dredgers
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.103887openalex-snapshot
A novel multigranularity feature-selection method based on neighborhood mutual information and its application in autistic patient identification
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105288openalex-snapshot
Feature Selection Algorithms Highlight the Importance of the Systolic Segment for Normal/Murmur Pcg Beat Classification
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106053openalex-snapshot
Machine learning approach for predicting state transitions via shank acceleration data during freezing of gait in Parkinson’s disease
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106062openalex-snapshot
Risk assessment of atherosclerotic cardiovascular disease based on feature selection of L1-CBFS
inferred← citeshttps://doi.org/10.1016/j.buildenv.2023.110722openalex-snapshot
Feature selection for indoor temperature prediction in large-space buildings based on transfer entropy and life cycle cost
inferred← citeshttps://doi.org/10.1016/j.cag.2019.08.015openalex-snapshot
A novel visual approach for enhanced attribute analysis and selection
inferred← citeshttps://doi.org/10.1016/j.chemolab.2018.10.009openalex-snapshot
A two-stage gene selection method for biomarker discovery from microarray data for cancer classification
inferred← citeshttps://doi.org/10.1016/j.chemolab.2019.04.006openalex-snapshot
Rock lithological classification by hyperspectral, range 3D and color images
inferred← citeshttps://doi.org/10.1016/j.chemolab.2022.104512openalex-snapshot
An unsupervised gene selection method based on multivariate normalized mutual information of genes
inferred← citeshttps://doi.org/10.1016/j.cherd.2024.06.027openalex-snapshot
Online optimization of petrochemical process via case-based reasoning and conditional mutual information
inferred← citeshttps://doi.org/10.1016/j.cjche.2018.11.008openalex-snapshot
Fault monitoring based on mutual information feature engineering modeling in chemical process
inferred← citeshttps://doi.org/10.1016/j.cma.2025.117922openalex-snapshot
Mutual-information-based dimensional learning: Objective algorithms for identification of relevant dimensionless quantities
inferred← citeshttps://doi.org/10.1016/j.coal.2022.104054openalex-snapshot
Machine learning and data augmentation approach for identification of rare earth element potential in Indiana Coals, USA
inferred← citeshttps://doi.org/10.1016/j.coal.2023.104419openalex-snapshot
Exploring the uncertainty of machine learning models and geostatistical mapping of rare earth element potential in Indiana coals, USA
inferred← citeshttps://doi.org/10.1016/j.comcom.2008.09.018openalex-snapshot
Traffic flooding attack detection with SNMP MIB using SVM
inferred← citeshttps://doi.org/10.1016/j.comcom.2019.12.049openalex-snapshot
Predicting drug responsiveness with deep learning from the effects on gene expression of Obsessive–Compulsive Disorder affected cases
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2018.06.007openalex-snapshot
A novel feature selection method to predict protein structural class
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2019.107149openalex-snapshot
A new feature selection method based on symmetrical uncertainty and interaction gain
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2013.10.016openalex-snapshot
A threshold fuzzy entropy based feature selection for medical database classification
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2017.10.008openalex-snapshot
Feature selection method based on support vector machine and shape analysis for high-throughput medical data
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2020.103667openalex-snapshot
A new feature selection algorithm based on relevance, redundancy and complementarity
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104244openalex-snapshot
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.107677openalex-snapshot
An embedded feature selection method based on generalized classifier neural network for cancer classification
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2013.11.024openalex-snapshot
A survey on feature selection methods
inferred← citeshttps://doi.org/10.1016/j.conengprac.2020.104522openalex-snapshot
Anomaly detection in the fan system of a thermal power plant monitored by continuous and two-valued variables
inferred← citeshttps://doi.org/10.1016/j.csda.2013.10.026openalex-snapshot
Time-efficient estimation of conditional mutual information for variable selection in classification
inferred← citeshttps://doi.org/10.1016/j.csda.2019.106839openalex-snapshot
Benchmark for filter methods for feature selection in high-dimensional classification data
inferred← citeshttps://doi.org/10.1016/j.csl.2009.04.002openalex-snapshot
Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition
inferred← citeshttps://doi.org/10.1016/j.dss.2006.09.007openalex-snapshot
Enhancing border security: Mutual information analysis to identify suspect vehicles
inferred← citeshttps://doi.org/10.1016/j.dss.2019.05.004openalex-snapshot
Feature assessment and ranking for classification with nonlinear sparse representation and approximate dependence analysis
inferred← citeshttps://doi.org/10.1016/j.dss.2024.114214openalex-snapshot
Towards explainable artificial intelligence through expert-augmented supervised feature selection
inferred← citeshttps://doi.org/10.1016/j.ejor.2013.08.045openalex-snapshot
A combination selection algorithm on forecasting
inferred← citeshttps://doi.org/10.1016/j.ejor.2020.09.028openalex-snapshot
Evaluating and selecting features via information theoretic lower bounds of feature inner correlations for high-dimensional data
inferred← citeshttps://doi.org/10.1016/j.ejrs.2018.01.003openalex-snapshot
Band selection based on optimization approach for hyperspectral image classification
inferred← citeshttps://doi.org/10.1016/j.engappai.2013.03.015openalex-snapshot
Modeling plasma surface modification of textile fabrics using artificial neural networks
inferred← citeshttps://doi.org/10.1016/j.engappai.2020.104079openalex-snapshot
A hybrid feature selection method based on information theory and binary butterfly optimization algorithm
inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104481openalex-snapshot
A conditional-weight joint relevance metric for feature relevancy term
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106544openalex-snapshot
A dynamic support ratio of selected feature-based information for feature selection
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111694openalex-snapshot
Density cluster-based feature selection: An information theory approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2011.01.023openalex-snapshot
Measuring relevance between discrete and continuous features based on neighborhood mutual information
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.2012.05.014openalex-snapshot
Nearest neighbor estimate of conditional mutual information in feature selection
inferred← citeshttps://doi.org/10.1016/j.eswa.2015.07.007openalex-snapshot
Feature selection using Joint Mutual Information Maximisation
inferred← citeshttps://doi.org/10.1016/j.eswa.2015.10.018openalex-snapshot
Acoustic Event Classification using spectral band selection and Non-Negative Matrix Factorization-based features
inferred← citeshttps://doi.org/10.1016/j.eswa.2016.01.021openalex-snapshot
Unsupervised probabilistic feature selection using ant colony optimization
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.04.022openalex-snapshot
An improved genetic-fuzzy system for classification and data analysis
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.07.005openalex-snapshot
A feature reduced intrusion detection system using ANN classifier
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.10.016openalex-snapshot
Feature selection considering two types of feature relevancy and feature interdependency
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.04.033openalex-snapshot
Generation of compound features based on feature interaction for classification
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.05.029openalex-snapshot
Feature selection by integrating two groups of feature evaluation criteria
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.11.018openalex-snapshot
Feature selection based on feature interactions with application to text categorization
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.03.006openalex-snapshot
Exploiting intra-day patterns for market shock prediction: A machine learning approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113499openalex-snapshot
Maximum-relevance and maximum-diversity of positive ranks: A novel feature selection method
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113729openalex-snapshot
SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.114263openalex-snapshot
A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115365openalex-snapshot
A feature selection method via analysis of relevance, redundancy, and interaction
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116302openalex-snapshot
Dynamic relevance and interdependent feature selection for continuous data
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116453openalex-snapshot
Fuzzy joint mutual information feature selection based on ideal vector
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116928openalex-snapshot
Optimizing feature selection methods by removing irrelevant features using sparse least squares
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117865openalex-snapshot
Multivariate feature selection and autoencoder embeddings of ovarian cancer clinical and genetic data
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118594openalex-snapshot
Fire images classification based on a handcraft approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119535openalex-snapshot
Random feature selection using random subspace logistic regression
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120455openalex-snapshot
Class-specific feature selection via maximal dynamic correlation change and minimal redundancy
inferred← citeshttps://doi.org/10.1016/j.foodchem.2025.146054openalex-snapshot
Prediction of maize crude fat content based on improved conditional mutual information maximization and SHAP analysis
inferred← citeshttps://doi.org/10.1016/j.forsciint.2016.04.024openalex-snapshot
2D Source area prediction based on physical characteristics of a regular, passive blood drip stain
inferred← citeshttps://doi.org/10.1016/j.fss.2021.07.015openalex-snapshot
Unsupervised fuzzy multivariate symmetric uncertainty feature selection based on constructing virtual cluster representative
inferred← citeshttps://doi.org/10.1016/j.future.2018.05.060openalex-snapshot
Feature selection for IoT based on maximal information coefficient
inferred← citeshttps://doi.org/10.1016/j.future.2019.03.023openalex-snapshot
Soft-biometrics encoding conditional GAN for synthesis of NIR periocular images
inferred← citeshttps://doi.org/10.1016/j.future.2022.02.021openalex-snapshot
Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance
inferred← citeshttps://doi.org/10.1016/j.ijar.2010.02.001openalex-snapshot
Feature selection for Bayesian network classifiers using the MDL-FS score
inferred← citeshttps://doi.org/10.1016/j.ijar.2021.01.003openalex-snapshot
Feature selection and threshold method based on fuzzy joint mutual information
inferred← citeshttps://doi.org/10.1016/j.ijar.2023.108950openalex-snapshot
Multi-dimensional Bayesian network classifiers for partial label ranking
inferred← citeshttps://doi.org/10.1016/j.ijforecast.2022.09.003openalex-snapshot
Identifying predictors of analyst rating quality: An ensemble feature selection approach
inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2019.05.006openalex-snapshot
Can the development of a patient’s condition be predicted through intelligent inquiry under the e-health business mode? Sequential feature map-based disease risk prediction upon features selected from cognitive diagnosis big data
inferred← citeshttps://doi.org/10.1016/j.iliver.2022.02.005openalex-snapshot
Advances in artificial intelligence techniques drive the application of radiomics in the clinical research of hepatocellular carcinoma
inferred← citeshttps://doi.org/10.1016/j.imavis.2008.03.005openalex-snapshot
Distinctive and compact features
inferred← citeshttps://doi.org/10.1016/j.imavis.2008.10.010openalex-snapshot
Learning to classify by ongoing feature selection
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103101openalex-snapshot
FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration
inferred← citeshttps://doi.org/10.1016/j.ins.2017.05.013openalex-snapshot
Maximum relevance minimum common redundancy feature selection for nonlinear data
inferred← citeshttps://doi.org/10.1016/j.ins.2017.08.036openalex-snapshot
Feature selection by optimizing a lower bound of conditional mutual information
inferred← citeshttps://doi.org/10.1016/j.ins.2019.07.018openalex-snapshot
An instance voting approach to feature selection
inferred← citeshttps://doi.org/10.1016/j.ins.2020.12.036openalex-snapshot
Multi-label feature selection based on the division of label topics
inferred← citeshttps://doi.org/10.1016/j.ins.2021.05.049openalex-snapshot
Data poisoning against information-theoretic feature selection
inferred← citeshttps://doi.org/10.1016/j.ins.2022.08.067openalex-snapshot
Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119601openalex-snapshot
Feature selection based on the best-path algorithm in high dimensional graphical models
inferred← citeshttps://doi.org/10.1016/j.ins.2023.120047openalex-snapshot
Noise-aware and correlation analysis-based for fuzzy-rough feature selection
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120521openalex-snapshot
A distributed attribute reduction based on neighborhood evidential conflict with Apache Spark
inferred← citeshttps://doi.org/10.1016/j.jbi.2014.02.005openalex-snapshot
Automated patient-specific classification of long-term Electroencephalography
inferred← citeshttps://doi.org/10.1016/j.jbi.2019.103254openalex-snapshot
Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancer
inferred← citeshttps://doi.org/10.1016/j.jnca.2011.01.002openalex-snapshot
Mutual information-based feature selection for intrusion detection systems
inferred← citeshttps://doi.org/10.1016/j.jss.2017.03.057openalex-snapshot
Distributed analysis and filtering of application event streams
inferred← citeshttps://doi.org/10.1016/j.knosys.2007.07.001openalex-snapshot
Mixed feature selection based on granulation and approximation
inferred← citeshttps://doi.org/10.1016/j.knosys.2011.01.015openalex-snapshot
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
inferred← citeshttps://doi.org/10.1016/j.knosys.2012.07.018openalex-snapshot
Feature selection based on cluster and variability analyses for ordinal multi-class classification problems
inferred← citeshttps://doi.org/10.1016/j.knosys.2012.10.001openalex-snapshot
Feature selection using dynamic weights for classification
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.2014.08.013openalex-snapshot
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps
inferred← citeshttps://doi.org/10.1016/j.knosys.2015.07.004openalex-snapshot
Feature selection with redundancy-complementariness dispersion
inferred← citeshttps://doi.org/10.1016/j.knosys.2017.10.028openalex-snapshot
Differential evolution for filter feature selection based on information theory and feature ranking
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.01.002openalex-snapshot
High-dimensional hybrid feature selection using interaction information-guided search
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106439openalex-snapshot
Relevance assignation feature selection method based on mutual information for machine learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106901openalex-snapshot
Ensemble learning-based filter-centric hybrid feature selection framework for high-dimensional imbalanced data
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108259openalex-snapshot
Fuzzy filter cost-sensitive feature selection with differential evolution
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109885openalex-snapshot
Effective fuzzy joint mutual information feature selection based on uncertainty region for classification problem
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112212openalex-snapshot
Class-specific feature selection using neighborhood mutual information with relevance-redundancy weight
inferred← citeshttps://doi.org/10.1016/j.measurement.2022.111310openalex-snapshot
Image feature selection based on orthogonal ℓ2,0 norms
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.115881openalex-snapshot
Early fire detection using wavelet based features
inferred← citeshttps://doi.org/10.1016/j.minpro.2015.09.015openalex-snapshot
Rock lithological classification using multi-scale Gabor features from sub-images, and voting with rock contour information
inferred← citeshttps://doi.org/10.1016/j.minpro.2017.01.008openalex-snapshot
Classification of rock lithology by laser range 3D and color images
inferred← citeshttps://doi.org/10.1016/j.neucom.2006.11.019openalex-snapshot
Resampling methods for parameter-free and robust feature selection with mutual information
inferred← citeshttps://doi.org/10.1016/j.neucom.2008.04.005openalex-snapshot
An efficient gene selection algorithm based on mutual information
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.02.031openalex-snapshot
Feature selection with missing data using mutual information estimators
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.05.001openalex-snapshot
Using cooperative game theory to optimize the feature selection problem
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.06.036openalex-snapshot
Divergence-based feature selection for separate classes
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.12.051openalex-snapshot
Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.09.083openalex-snapshot
PCA filtering and probabilistic SOM for network intrusion detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.12.070openalex-snapshot
Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer׳s disease
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.2015.11.074openalex-snapshot
A fault diagnosis approach for diesel engines based on self-adaptive WVD, improved FCBF and PECOC-RVM
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.11.047openalex-snapshot
Theoretical evaluation of feature selection methods based on mutual information
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.11.058openalex-snapshot
Interaction-based feature selection using Factorial Design
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.2018.06.081openalex-snapshot
Identifying the most informative features using a structurally interacting elastic net
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.09.017openalex-snapshot
On the role of sparsity in feature selection and an innovative method LRMI
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.09.040openalex-snapshot
Deep-FS: A feature selection algorithm for Deep Boltzmann Machines
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.09.077openalex-snapshot
Theoretical foundations of forward feature selection methods based on mutual information
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.05.048openalex-snapshot
Stopping rules for mutual information-based feature selection
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.01.094openalex-snapshot
FRIEND: Feature selection on inconsistent data
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.09.101openalex-snapshot
Feature selection using Decomposed Mutual Information Maximization
inferred← citeshttps://doi.org/10.1016/j.neunet.2013.07.003openalex-snapshot
Is mutual information adequate for feature selection in regression?
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.01.004openalex-snapshot
A neurodynamic optimization approach to supervised feature selection via fractional programming
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.04.038openalex-snapshot
Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107600openalex-snapshot
Learning double balancing representation for heterogeneous dose–response curve estimation
inferred← citeshttps://doi.org/10.1016/j.patcog.2008.10.028openalex-snapshot
Feature selection with dynamic mutual information
inferred← citeshttps://doi.org/10.1016/j.patcog.2010.02.008openalex-snapshot
Ensemble gene selection for cancer classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2011.04.014openalex-snapshot
Correntropy based feature selection using binary projection
inferred← citeshttps://doi.org/10.1016/j.patcog.2012.01.019openalex-snapshot
Feature interaction in subspace clustering using the Choquet integral
inferred← citeshttps://doi.org/10.1016/j.patcog.2012.07.028openalex-snapshot
Selecting feature subset for high dimensional data via the propositional FOIL rules
inferred← citeshttps://doi.org/10.1016/j.patcog.2013.04.021openalex-snapshot
Mutual information-based method for selecting informative feature sets
inferred← citeshttps://doi.org/10.1016/j.patcog.2014.04.005openalex-snapshot
Hybrid clustering solution selection strategy
inferred← citeshttps://doi.org/10.1016/j.patcog.2014.11.010openalex-snapshot
An evaluation of classifier-specific filter measure performance for feature selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.02.001openalex-snapshot
Learning LBP structure by maximizing the conditional mutual information
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.02.025openalex-snapshot
A novel feature selection method considering feature interaction
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.11.007openalex-snapshot
Can high-order dependencies improve mutual information based feature selection?
inferred← citeshttps://doi.org/10.1016/j.patcog.2018.02.020openalex-snapshot
Class-specific mutual information variation for feature selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107697openalex-snapshot
Stable feature selection using copula based mutual information
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.108603openalex-snapshot
R2CI: Information theoretic-guided feature selection with multiple correlations
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.108895openalex-snapshot
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.109254openalex-snapshot
Neurodynamics-driven supervised feature selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109733openalex-snapshot
High-order interaction feature selection for classification learning: A robust knowledge metric perspective
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.110139openalex-snapshot
Hybrid ARMA-GARCH-Neural Networks for intraday strategy exploration in high-frequency trading
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111375openalex-snapshot
Breaking boundaries: Low-precision conditional mutual information for efficient feature selection
inferred← citeshttps://doi.org/10.1016/j.patrec.2009.03.019openalex-snapshot
An Information Theory framework for two-stage binary image operator design
inferred← citeshttps://doi.org/10.1016/j.patrec.2017.03.018openalex-snapshot
A new feature selection method based on a validity index of feature subset
inferred← citeshttps://doi.org/10.1016/j.patrec.2017.11.007openalex-snapshot
A binning formula of bi-histogram for joint entropy estimation using mean square error minimization
inferred← citeshttps://doi.org/10.1016/j.patter.2022.100471openalex-snapshot
Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection tool
inferred← citeshttps://doi.org/10.1016/j.pmcj.2015.10.011openalex-snapshot
Constella: Crowdsourced system setting recommendations for mobile devices
inferred← citeshttps://doi.org/10.1016/j.procs.2011.08.036openalex-snapshot
Feature Selection for Multiclass Problems Based on Information Weights
inferred← citeshttps://doi.org/10.1016/j.robot.2020.103598openalex-snapshot
Visual place recognition using directed acyclic graph association measures and mutual information-based feature selection
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.161543openalex-snapshot
A Soft Sensor for Simulating Algal Cell Density Based on Dynamic Response to Environmental Changes in a Eutrophic Shallow Lake
inferred← citeshttps://doi.org/10.1016/j.softx.2021.100819openalex-snapshot
Praznik: High performance information-based feature selection
inferred← citeshttps://doi.org/10.1016/j.softx.2022.101148openalex-snapshot
HOFS: Higher order mutual information approximation for feature selection in R
inferred← citeshttps://doi.org/10.1016/j.softx.2025.102268openalex-snapshot
auto-xFS: An explanation-based feature selection tool for more meaningful and trustworthy machine learning models
inferred← citeshttps://doi.org/10.1016/j.visres.2007.04.004openalex-snapshot
Mutual information of image fragments predicts categorization in humans: Electrophysiological and behavioral evidence
inferred← citeshttps://doi.org/10.1016/j.visres.2010.05.013openalex-snapshot
What and where: A Bayesian inference theory of attention
inferred← citeshttps://doi.org/10.1016/j.websem.2020.100578openalex-snapshot
Chinese semantic document classification based on strategies of semantic similarity computation and correlation analysis
inferred← citeshttps://doi.org/10.1016/j.ygeno.2015.12.006openalex-snapshot
Robust and stable gene selection via Maximum–Minimum Correntropy Criterion
inferred← citeshttps://doi.org/10.1016/j.zemedi.2012.03.007openalex-snapshot
SVM-based glioma grading: Optimization by feature reduction analysis
inferred← citeshttps://doi.org/10.1017/cbo9781139042918.018openalex-snapshot
Parallel Large-Scale Feature Selection
inferred← citeshttps://doi.org/10.1049/cmu2.12579openalex-snapshot
MCFS‐UC: A Novel Mobile Robot Navigation Feature Selection Method for Optimal Sensor Readings in IIoT Environments
inferred← citeshttps://doi.org/10.1049/iet-ipr.2018.5550openalex-snapshot
Combined FATEMD‐based band selection method for hyperspectral images
inferred← citeshttps://doi.org/10.1088/1361-6560/ad1271openalex-snapshot
Discriminative fusion of moments-aligned latent representation of multimodality medical data
showing the first 200 of 592 · page through all 592
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.