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Binary Classification

Papers

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Showing 1576–1600 of 2574 papers

TitleStatusHype
Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification—0
Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant—0
Spatiotemporal Inconsistency Learning for DeepFake Video Detection—0
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus—0
Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model—0
SphereFace2: Binary Classification is All You Need for Deep Face Recognition—0
Spider-Jerusalem at SemEval-2019 Task 4: Hyperpartisan News Detection—0
Data-Driven Logistic Regression Ensembles With Applications in Genomics—0
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs—0
SQL2Circuits: Estimating Metrics for SQL Queries with a Quantum Natural Language Processing Method—0
SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network—0
SSN_MLRG1@DravidianLangTech-ACL2022: Troll Meme Classification in Tamil using Transformer Models—0
Stability and List-Replicability for Agnostic Learners—0
Stability of the Stochastic Gradient Method for an Approximated Large Scale Kernel Machine—0
Stacking-Enhanced Bagging Ensemble Learning for Breast Cancer Classification with CNN—0
Staff line Removal using Generative Adversarial Networks—0
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection—0
STAND-Guard: A Small Task-Adaptive Content Moderation Model—0
State of the art applications of deep learning within tracking and detecting marine debris: A survey—0
Statistical Guarantees for Fairness Aware Plug-In Algorithms—0
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning—0
STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images—0
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks—0
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors—0
Stochastic Mirror Descent in Average Ensemble Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.98—Unverified
2LightGBM + OpenAI embeddingAUROC0.97—Unverified
3FTTransformer + RoBERTa fintuneAUROC0.96—Unverified
4LightGBM + RoBERTa embeddingAUROC0.95—Unverified
5FTTransformer + RoBERTa embeddingAUROC0.94—Unverified
6ResNet + RoBERTa embeddingAUROC0.93—Unverified
7ResNet + OpenAI embeddingAUROC0.92—Unverified
8FTTransformer + OpenAI embeddingAUROC0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.81—Unverified
2Multimodal-Net All-TextAUROC0.8—Unverified
3ResNet + RoBERTa finetuneAUROC0.79—Unverified
4LightGBM + RoBERTa embeddingAUROC0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Attention based CNNF1 score0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostF1-Score98.79—Unverified