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Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Independent component analysis: algorithms and applications
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Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
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Discriminant analysis for recognition of human face images
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A General Framework for Class Label Specific Mutual Information Feature Selection Method
inferred← citeshttps://doi.org/10.1109/tkde.2017.2650906openalex-snapshot
Feature Selection by Maximizing Independent Classification Information
inferred← citeshttps://doi.org/10.1109/tkde.2018.2865778openalex-snapshot
MUSE: Minimum Uncertainty and Sample Elimination Based Binary Feature Selection
inferred← citeshttps://doi.org/10.1109/tmm.2014.2359771openalex-snapshot
Conceptlets: Selective Semantics for Classifying Video Events
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3213167openalex-snapshot
Supervised Feature Selection via Collaborative Neurodynamic Optimization
inferred← citeshttps://doi.org/10.1109/tpami.2017.2777967openalex-snapshot
Clickstream Analysis for Crowd-Based Object Segmentation with Confidence
inferred← citeshttps://doi.org/10.1109/tpami.2020.2987013openalex-snapshot
Multiview Feature Selection for Single-View Classification
inferred← citeshttps://doi.org/10.1109/tpami.2020.3002843openalex-snapshot
Infinite Feature Selection: A Graph-based Feature Filtering Approach
inferred← citeshttps://doi.org/10.1109/tsp.2022.3151317openalex-snapshot
Nonlinear Dimension Reduction by PDF Estimation
inferred← citeshttps://doi.org/10.1134/s1022795423130021openalex-snapshot
Feature Importance Genes from Breast Cancer Subtypes Classification Employing Machine Learning
inferred← citeshttps://doi.org/10.1137/s0040585x97t991520openalex-snapshot
On Relevant Features Selection Based on Information Theory
inferred← citeshttps://doi.org/10.1145/2623330.2623611openalex-snapshot
Effective global approaches for mutual information based feature selection
inferred← citeshttps://doi.org/10.1145/2983323.2983762openalex-snapshot
Supervised Feature Selection by Preserving Class Correlation
inferred← citeshttps://doi.org/10.1145/3269206.3271752openalex-snapshot
A Scalable Algorithm for Higher-order Features Generation using MinHash
inferred← citeshttps://doi.org/10.1145/3340531.3415927openalex-snapshot
Tolerant Markov Boundary Discovery for Feature Selection
inferred← citeshttps://doi.org/10.1145/3436891openalex-snapshot
A Unified View of Causal and Non-causal Feature Selection
inferred← citeshttps://doi.org/10.1145/3492865openalex-snapshot
A Comprehensive Report on Machine Learning-based Early Detection of Alzheimer's Disease using Multi-modal Neuroimaging Data
inferred← citeshttps://doi.org/10.1145/3568562.3568604openalex-snapshot
Empirical Analysis of Filter Feature Selection Criteria on Financial Datasets
inferred← citeshttps://doi.org/10.1145/3588961openalex-snapshot
FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data
inferred← citeshttps://doi.org/10.1145/3701551.3703515openalex-snapshot
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
inferred← citeshttps://doi.org/10.11606/t.55.2020.tde-31082020-175620openalex-snapshot
Novel visual approaches for attribute analysis, selection, and prediction
inferred← citeshttps://doi.org/10.1609/aaai.v25i1.7902openalex-snapshot
Size Adaptive Selection of Most Informative Features
inferred← citeshttps://doi.org/10.1609/aaai.v28i1.8953openalex-snapshot
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View
inferred← citeshttps://doi.org/10.1609/aaai.v34i04.6050openalex-snapshot
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection
inferred← citeshttps://doi.org/10.1609/aaai.v36i8.20889openalex-snapshot
Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables
inferred← citeshttps://doi.org/10.1609/aaai.v37i9.26236openalex-snapshot
Practical Markov Boundary Learning without Strong Assumptions
inferred← citeshttps://doi.org/10.17760/d20487166openalex-snapshot
Analysis and modification of mutual information-based feature selection methods regarding data imbalance and incompleteness
inferred← citeshttps://doi.org/10.20944/preprints202402.1217.v2openalex-snapshot
Revolutionizing Parasitic Infection Diagnosis in Northern Nigeria: An Integrated Machine Learning Approach for the Identification of Intestinal Parasites and Associated Risk Factors
inferred← citeshttps://doi.org/10.20965/jrm.2018.p0921openalex-snapshot
Improved Artificial Bee Colony Algorithm and its Application in Classification
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1354806/v1openalex-snapshot
Feature Selection with Missing Values in DNA Microarray Gene Expression Data
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3120809/v1openalex-snapshot
A GA-like Dynamic Probability Method with Mutual Information for Feature Selection
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3932698/v1openalex-snapshot
Reinforced Variable Selection via Natural Policy Gradient
inferred← citeshttps://doi.org/10.22630/mibe.2019.20.3.20openalex-snapshot
ANALYSIS OF NOVEL FEATURE SELECTION CRITERION BASED ON INTERACTIONS OF HIGHER ORDER IN CASE OF PRODUCTION PLANT DATA
inferred← citeshttps://doi.org/10.26686/wgtn.14273291openalex-snapshot
Differential evolution for filter feature selection based on information theory and feature ranking
inferred← citeshttps://doi.org/10.26686/wgtn.14273291.v1openalex-snapshot
Differential evolution for filter feature selection based on information theory and feature ranking
inferred← citeshttps://doi.org/10.31449/inf.v43i2.1621openalex-snapshot
Mutual Information Based Feature Selection for Fingerprint Identification
inferred← citeshttps://doi.org/10.3233/ida-173735openalex-snapshot
Feature selection using a set based discrete particle swarm optimization and a novel feature subset evaluation criterion
inferred← citeshttps://doi.org/10.3233/ida-226551openalex-snapshot
A grouping feature selection method based on feature interaction
inferred← citeshttps://doi.org/10.3233/thc-230161openalex-snapshot
Selection of HBV key reactivation factors based on maximum information coefficient combined with cosine similarity
inferred← citeshttps://doi.org/10.3389/fbinf.2025.1522401openalex-snapshot
Biomarker-driven drug repurposing for NAFLD-associated hepatocellular carcinoma using machine learning integrated ensemble feature selection
inferred← citeshttps://doi.org/10.3390/app10228093openalex-snapshot
An Effective Multi-Label Feature Selection Model Towards Eliminating Noisy Features
inferred← citeshttps://doi.org/10.3390/biom15010081openalex-snapshot
Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics
inferred← citeshttps://doi.org/10.3390/e21121179openalex-snapshot
CASMI—An Entropic Feature Selection Method in Turing’s Perspective
inferred← citeshttps://doi.org/10.3390/e21121233openalex-snapshot
Detecting Causality in Multivariate Time Series via Non-Uniform Embedding
inferred← citeshttps://doi.org/10.3390/e22070757openalex-snapshot
Ensemble Fuzzy Feature Selection Based on Relevancy, Redundancy, and Dependency Criteria
inferred← citeshttps://doi.org/10.3390/e22090974openalex-snapshot
Analysis of Information-Based Nonparametric Variable Selection Criteria
inferred← citeshttps://doi.org/10.3390/e24081079openalex-snapshot
Information Theoretic Methods for Variable Selection—A Review
inferred← citeshttps://doi.org/10.3390/e24091255openalex-snapshot
A Novel Nonparametric Feature Selection Approach Based on Mutual Information Transfer Network
inferred← citeshttps://doi.org/10.3390/educsci15030326openalex-snapshot
Optimizing University Admission Processes for Improved Educational Administration Through Feature Selection Algorithms: A Case Study in Engineering Education
inferred← citeshttps://doi.org/10.3390/electronics10121463openalex-snapshot
DeepSGP: Deep Learning for Gene Selection and Survival Group Prediction in Glioblastoma
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