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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/alimirzaei/TSFS

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Deep Feature Selection using a Teacher-Student Network

https://github.com/alimirzaei/fcwsfs

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Fast Classification with Sequential Feature Selection in Test Phase

https://github.com/almost-matching-exactly/DAME-FLAME-Python-Package

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dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference

https://github.com/alokesh17/selective_inference-

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Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data

https://github.com/alversafa/chokepoint-bbs

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Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance

https://github.com/alyelgamal/AMBER

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Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination

https://github.com/amanat9/QuantopianThesis

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Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction

https://github.com/amballaavinash/modelselection

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Automated Model Selection for Tabular Data

https://github.com/amineroudani/Data-Driven-Methods-in-Finance-Final-Project

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A multi-factor market-neutral investment strategy for New York Stock Exchange equities

https://github.com/analeticiagarcez/myocardial-infarction-prediction

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Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality

https://github.com/anasashb/alicehu

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ALICE: Combining Feature Selection and Inter-Rater Agreeability for Machine Learning Insights

https://github.com/anasbair/SemEval2020-groups

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DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification

https://github.com/andreimargeloiu/wpfs

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Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

https://github.com/annajenul/UBayFS

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A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)

https://github.com/annajenul/rent_article_results

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RENT -- Repeated Elastic Net Technique for Feature Selection

https://github.com/annajenul/ubayfs_experiments

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A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)

https://github.com/anonymous-research-entity/recsys2022-cqfs-ttopt

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Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks

https://github.com/anonymous902109/reccover

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ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning

https://github.com/anord-wang/kgptfs

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Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

https://github.com/ant-research/BayesianLinearAttributionForRootCauseLocalization_BALANCE

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BALANCE: Bayesian Linear Attribution for Root Cause Localization

https://github.com/aokray/FFE

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Fair Kernel Regression via Fair Feature Embedding in Kernel Space

https://github.com/applied-machine-learning-lab/erase

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ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

https://github.com/ari-dasci/S-EvoPruneDeepTL

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EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks

https://github.com/arkel23/GLSim

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Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers

https://github.com/arlo-lib/arlo

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ARLO: A Framework for Automated Reinforcement Learning

https://github.com/arturjordao/IncrementalDimensionalityReduction

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Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method

https://github.com/arturjordao/PruningNeuralNetworks

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Pruning Deep Neural Networks using Partial Least Squares

https://github.com/aspremon/NaiveFeatureSelection

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Naive Feature Selection: a Nearly Tight Convex Relaxation for Sparse Naive Bayes

https://github.com/atif-hassan/PyImpetus

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PPFS: Predictive Permutation Feature Selection

https://github.com/auranic/ClinTrajan

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Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data

https://github.com/automl-research/f2gnn

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Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective

https://github.com/automl-research/pas-ogb

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Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search

https://github.com/baiyang4/Sjogrens_questionnaire

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Fatigue Assessment using ECG and Actigraphy Sensors

https://github.com/bangyaozhao/glass

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Bayesian Inference on Brain-Computer Interfaces via GLASS

https://github.com/barahona-research-group/PermFree-HOI

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Permutation-Free High-Order Interaction Tests

https://github.com/basiralab/SM-netFusion

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Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation

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