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Ensemble Learning

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

https://github.com/git-disl/Chameleon

공식 코드

Personalized Privacy Protection Mask Against Unauthorized Facial Recognition

https://github.com/git-disl/EnsembleBench

공식 코드

Promoting High Diversity Ensemble Learning with EnsembleBench

https://github.com/goyalanil/DAMVI

공식 코드

Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data

https://github.com/graphdetec/rf-gnn

공식 코드

RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection

https://github.com/gugarosa/synthetic_rbms

공식 코드

Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines

https://github.com/hamrel-cxu/EnbPI

공식 코드

Conformal prediction interval for dynamic time-series

https://github.com/hamzah-luqman/mfr

공식 코드

Ensemble Learning using Transformers and Convolutional Networks for Masked Face Recognition

https://github.com/haochen-rye/ModEnsNet

공식 코드

Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet

https://github.com/hecta-uom/ensemble-ner

공식 코드

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning

https://github.com/hecta-uom/m3

공식 코드

MedMine: Examining Pre-trained Language Models on Medication Mining

https://github.com/heitzjon/mt-join-query-optimization-with-drl

공식 코드

Join Query Optimization with Deep Reinforcement Learning Algorithms

https://github.com/hitachi-nlp/ensemble-metrics

공식 코드

Rethinking Fano's Inequality in Ensemble Learning

https://github.com/hjdw2/nfe

공식 코드

Network Fission Ensembles for Low-Cost Self-Ensembles

https://github.com/hjdw2/sembg

공식 코드

Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution

https://github.com/hmaissae/forest-ore_bench_2023

공식 코드

Forest-ORE: Mining Optimal Rule Ensemble to interpret Random Forest models

https://github.com/horsepurve/StyleSegor

공식 코드

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data

https://github.com/hrlblab/open-eoe

공식 코드

Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis

https://github.com/huaxiuyao/wild-time

공식 코드

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

https://github.com/hust-linyi/LENAS

공식 코드

LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction

https://github.com/hwiberg/opticl

공식 코드

Mixed-Integer Optimization with Constraint Learning

https://github.com/ilyatrofimov/rtd

공식 코드

Representation Topology Divergence: A Method for Comparing Neural Network Representations

https://github.com/integritynoble/ELP-Unfolding

공식 코드

Ensemble learning priors unfolding for scalable Snapshot Compressive Sensing

https://github.com/izho1042/frost-spatial-prediction

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Intelligent Spatial Interpolation-based Frost Prediction Methodology using Artificial Neural Networks with Limited Local Data

https://github.com/jacobzhaoziyuan/DSAL

공식 코드

DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation

https://github.com/jd-opensource/utboost

공식 코드

UTBoost: Gradient Boosted Decision Trees for Uplift Modeling

https://github.com/jiafei127/cv_islr_www2025

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Exploiting Ensemble Learning for Cross-View Isolated Sign Language Recognition

https://github.com/jiayuli-997/intel-sigir2023

공식 코드

Intent-aware Ranking Ensemble for Personalized Recommendation

https://github.com/jjy1994/BaggingCertifyDataPoisoning

공식 코드

Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks

https://github.com/john-klein/DELCO

공식 코드

Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles

https://github.com/jorge-martinez-gil/ensemble-codesim

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Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures

https://github.com/kenzaxtazi/bcm4rcm

공식 코드

Refined climatologies of future precipitation over High Mountain Asia using probabilistic ensemble learning

https://github.com/kevaldoshi17/IEEE-Big-Data-2020

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Road Damage Detection using Deep Ensemble Learning

https://github.com/kimjeyoung/plm_call

공식 코드

Bag of Tricks for In-Distribution Calibration of Pretrained Transformers

https://github.com/koraykarabina/impacx_onhw

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Improving Accuracy and Explainability of Online Handwriting Recognition

https://github.com/kslote1/hui-walter

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Online Performance Estimation with Unlabeled Data: A Bayesian Application of the Hui-Walter Paradigm

https://github.com/lamda-bbo/offline-ram

공식 코드

Offline Model-Based Optimization by Learning to Rank

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