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Binary Classification

Papers

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Showing 1176–1200 of 2574 papers

TitleStatusHype
MaNLP@SMM4H’22: BERT for Classification of Twitter Posts—0
Effective Data Augmentation for Sentence Classification Using One VAE per Class—0
New or Old? Exploring How Pre-Trained Language Models Represent Discourse EntitiesCode0
Overview of the DAGPap22 Shared Task on Detecting Automatically Generated Scientific Papers—0
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data—0
Learning to Evaluate Humor in Memes Based on the Incongruity Theory—0
Overview of the 2022 Validity and Novelty Prediction Shared TaskCode0
Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT—0
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide ImagesCode0
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems—0
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series—0
Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR Images—0
Trigger Warnings: Bootstrapping a Violence Detector for FanFiction—0
SynSciPass: detecting appropriate uses of scientific text generationCode0
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters—0
Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks—0
Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk Minimization—0
Temporal Label Smoothing for Early Event PredictionCode0
Two-stage Fall Events Classification with Human Skeleton Data—0
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning—0
Audio Deepfake Attribution: An Initial Dataset and Investigation—0
Classification Performance Metric Elicitation and its Applications—0
FOLD-SE: An Efficient Rule-based Machine Learning Algorithm with Scalable Explainability—0
Is Your Model Sensitive? SPeDaC: A New Benchmark for Detecting and Classifying Sensitive Personal Data—0
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray ImagesCode0
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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