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Binary Classification

Papers

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Showing 926–950 of 2574 papers

TitleStatusHype
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images—0
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation—0
ResDTA: Predicting Drug-Target Binding Affinity Using Residual Skip Connections—0
Transfer learning method in the problem of binary classification of chest X-raysCode0
High-Dimensional Penalized Bernstein Support Vector Machines—0
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression—0
Applying unsupervised keyphrase methods on concepts extracted from discharge sheets—0
Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation when the SCAR assumption does not holdCode0
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single ModelsCode0
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection—0
Transformer Models for Acute Brain Dysfunction Prediction—0
Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging—0
VMCDL: Vulnerability Mining Based on Cascaded Deep Learning Under Source Control Flow—0
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers—0
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data—0
On the Implicit Bias of Linear Equivariant Steerable Networks—0
Learning Label Encodings for Deep RegressionCode0
Evaluation of Confidence-based Ensembling in Deep Learning Image Classification—0
On the complexity of PAC learning in Hilbert spaces—0
Sparse-penalized deep neural networks estimator under weak dependence—0
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models—0
Interactive Segmentation as Gaussian Process ClassificationCode1
Masked Relation Learning for DeepFake DetectionCode1
Complementary to Multiple Labels: A Correlation-Aware Correction Approach—0
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space—0
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All datasetsfakekickstarterGlyphnet DatasetTII-SSRC-23

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