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feature selection

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/creggian/spark-ifs

공식 코드

Feature selection in high-dimensional dataset using MapReduce

https://github.com/cshan-github/selectornet

공식 코드

A Non-Invasive Interpretable NAFLD Diagnostic Method Combining TCM Tongue Features

https://github.com/csliangdu/FSASL

공식 코드

Unsupervised Feature Selection with Adaptive Structure Learning

https://github.com/cyberhunters/Malware-Detection-Using-Machine-Learning

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Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique

https://github.com/cywinski/saeuron

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SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

https://github.com/da-wen-er/vdss

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A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady State

https://github.com/dabrze/subsecting_rfe

공식 코드

Fibonacci and k-Subsecting Recursive Feature Elimination

https://github.com/daftstone/traffic4cast

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Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting

https://github.com/daniaherzalla/gnn-jamming-source-localization

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Graph Neural Networks for Jamming Source Localization

https://github.com/dannyzx/gaussian-rbfnn

공식 코드

Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks

https://github.com/dannyzx/grbf-nns

공식 코드

Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks

https://github.com/darkbblue/generic-diffusion-feature

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Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

https://github.com/dassangita844/preprocessing_covid-19_dataset_india

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Impact of Comprehensive Data Preprocessing on Predictive Modelling of COVID-19 Mortality

https://github.com/data-intelligence-for-health-lab/ICD10-Unsupervised-Feature-Selection

공식 코드

Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort

https://github.com/davidsaltiel/OCA

공식 코드

Feature selection with optimal coordinate ascent (OCA)

https://github.com/dd1github/how_da_works

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Towards Understanding How Data Augmentation Works with Imbalanced Data

https://github.com/debojyoti7/solar_energy_prediction_srra

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Computational Solar Energy -- Ensemble Learning Methods for Prediction of Solar Power Generation based on Meteorological Parameters in Eastern India

https://github.com/deep-spin/spec

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The Explanation Game: Towards Prediction Explainability through Sparse Communication

https://github.com/dereklhansen/flowselect

공식 코드

Normalizing Flows for Knockoff-free Controlled Feature Selection

https://github.com/devilyangs/enas-kt

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Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing

https://github.com/diadai/cfs

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Open Continual Feature Selection via Granular-Ball Knowledge Transfer

https://github.com/digital-medicine-research-group-UNAV/CRFE

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Conformal Recursive Feature Elimination

https://github.com/dineshsinghindian/fsnet

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FsNet: Feature Selection Network on High-dimensional Biological Data

https://github.com/dinner-group/geom2vec

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Using pretrained graph neural networks with token mixers as geometric featurizers for conformational dynamics

https://github.com/dl4amc/dds

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Ensemble Wrapper Subsampling for Deep Modulation Classification

https://github.com/dmcb-gist/sdgcca

공식 코드

SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-omics Integration

https://github.com/doganlab/cbmap

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CBMAP: Clustering-based manifold approximation and projection for dimensionality reduction

https://github.com/drorlab/pensa

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Systematic Analysis of Biomolecular Conformational Ensembles with PENSA

https://github.com/dsam99/lol

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Losses over Labels: Weakly Supervised Learning via Direct Loss Construction

https://github.com/dudwns511/mvfs_cikm23

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MvFS: Multi-view Feature Selection for Recommender System

https://github.com/dunnkers/msc-thesis

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A novel evaluation methodology for supervised Feature Ranking algorithms

https://github.com/dvlab-research/sphereformer

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Spherical Transformer for LiDAR-based 3D Recognition

https://github.com/dvornikita/SUR

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Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification

https://github.com/e-pet/adni-bias

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Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection

https://github.com/edgarst/dogss

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Sparse-Group Bayesian Feature Selection Using Expectation Propagation for Signal Recovery and Network Reconstruction

https://github.com/edgeslab/causal_feature_selection

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Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty

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