Related references
Note: Only part of the references are listed.Information Theoretic Feature Transformation Learning for Brain Interfaces
Ozan Ozdenizci et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2020)
Learning Invariant Representations From EEG via Adversarial Inference
Ozan Ozdenizci et al.
IEEE ACCESS (2020)
Data and Task Offloading in Collaborative Mobile Fog-Based Networks
Radu-Ioan Ciobanu et al.
IEEE ACCESS (2019)
Methods for interpreting and understanding deep neural networks
Gregoire Montavon et al.
DIGITAL SIGNAL PROCESSING (2018)
MACHINE LEARNING PARADIGMS FOR NEXT-GENERATION WIRELESS NETWORKS
Chunxiao Jiang et al.
IEEE WIRELESS COMMUNICATIONS (2017)
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
Sebastian Bach et al.
PLOS ONE (2015)
Mutual Information between Discrete and Continuous Data Sets
Brian C. Ross
PLOS ONE (2014)
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
Cosmin Lazar et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2012)
Dimensionality reduction based on non-parametric mutual information
Lev Faivishevsky et al.
NEUROCOMPUTING (2012)
Introduction to machine learning for brain imaging
Steven Lemm et al.
NEUROIMAGE (2011)
Adaptive filtering under maximum mutual information criterion
Badong Chen et al.
NEUROCOMPUTING (2008)
Information discriminant analysis: Feature extraction with an information-theoretic objective
Zoran Nenadic
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)
Feature extraction using information-theoretic learning
Kenneth E. Hild et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Machine learning in bioinformatics
Pedro Larranaga et al.
BRIEFINGS IN BIOINFORMATICS (2006)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Online entropy manipulation: Stochastic information gradient
D Erdogmus et al.
IEEE SIGNAL PROCESSING LETTERS (2003)
Comparison of linear, nonlinear, and feature selection methods for EEG signal classification
D Garrett et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2003)
Input feature selection by mutual information based on Parzen window
N Kwak et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)
Gene selection for cancer classification using support vector machines
I Guyon et al.
MACHINE LEARNING (2002)
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
A Bhattacharjee et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2001)
Share Paper
