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Feature Selection

101 papers with code · Methodology

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Distributed and parallel time series feature extraction for industrial big data applications

25 Oct 2016blue-yonder/tsfresh

This problem is especially hard to solve for time series classification and regression in industrial applications such as predictive maintenance or production line optimization, for which each label or regression target is associated with several time series and meta-information simultaneously.

FEATURE IMPORTANCE FEATURE SELECTION REGRESSION TIME SERIES TIME SERIES CLASSIFICATION

Free-Form Image Inpainting with Gated Convolution

ICCV 2019 JiahuiYu/generative_inpainting

We present a generative image inpainting system to complete images with free-form mask and guidance.

FEATURE SELECTION IMAGE INPAINTING

Feature Selection: A Data Perspective

29 Jan 2016jundongl/scikit-feature

To facilitate and promote the research in this community, we also present an open-source feature selection repository that consists of most of the popular feature selection algorithms (\url{http://featureselection. asu. edu/}).

FEATURE SELECTION SPARSE LEARNING

A Light CNN for Deep Face Representation with Noisy Labels

9 Nov 2015AlfredXiangWu/face_verification_experiment

This paper presents a Light CNN framework to learn a compact embedding on the large-scale face data with massive noisy labels.

FACE IDENTIFICATION FACE RECOGNITION FACE VERIFICATION FEATURE SELECTION

Feature Selection with the Boruta Package

Journal of Statistical Software 2010 2010 scikit-learn-contrib/boruta_py

This article describes a R package Boruta, implementing a novel feature selection algorithm for finding all relevant variables.

FEATURE SELECTION

Fast and accurate sentiment classification using an enhanced Naive Bayes model

27 May 2013vivekn/sentiment

We have explored different methods of improving the accuracy of a Naive Bayes classifier for sentiment analysis.

FEATURE SELECTION SENTIMENT ANALYSIS

Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms

18 Aug 2012automl/autoweka

Many different machine learning algorithms exist; taking into account each algorithm's hyperparameters, there is a staggeringly large number of possible alternatives overall.

FEATURE SELECTION HYPERPARAMETER OPTIMIZATION

Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining

22 Nov 2017EpistasisLab/scikit-rebate

Modern biomedical data mining requires feature selection methods that can (1) be applied to large scale feature spaces (e. g. `omics' data), (2) function in noisy problems, (3) detect complex patterns of association (e. g. gene-gene interactions), (4) be flexibly adapted to various problem domains and data types (e. g. genetic variants, gene expression, and clinical data) and (5) are computationally tractable.

FEATURE SELECTION REGRESSION

Multivariate Time Series Classification with WEASEL+MUSE

30 Nov 2017patrickzib/SFA

Multivariate time series (MTS) arise when multiple interconnected sensors record data over time.

FEATURE SELECTION GESTURE RECOGNITION TIME SERIES TIME SERIES CLASSIFICATION

Network Uncertainty Informed Semantic Feature Selection for Visual SLAM

29 Nov 2018navganti/SIVO

In order to facilitate long-term localization using a visual simultaneous localization and mapping (SLAM) algorithm, careful feature selection can help ensure that reference points persist over long durations and the runtime and storage complexity of the algorithm remain consistent.

FEATURE SELECTION SEMANTIC SEGMENTATION SIMULTANEOUS LOCALIZATION AND MAPPING VISUAL ODOMETRY