SOTAVerified

Binary Classification

Papers

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Showing 1101–1125 of 2574 papers

TitleStatusHype
Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting—0
The Optimal Input-Independent Baseline for Binary Classification: The Dutch Draw—0
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis—0
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPICode0
Machine Fault Classification using Hamiltonian Neural Networks—0
Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction—0
A Loopback Network for Explainable Microvascular Invasion Classification—0
Information Transfer Rate in BCIs: Towards Tightly Integrated Symbiosis—0
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models—0
Application of Unsupervised Domain Adaptation for Structural MRI Analysis—0
Content Rating Classification for Fan Fiction—0
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection—0
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic MethodsCode0
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media—0
Interpretable ML for Imbalanced DataCode0
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification—0
Improving group robustness under noisy labels using predictive uncertainty—0
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial DetectionCode0
MaNLP@SMM4H22: BERT for Classification of Twitter Posts—0
Deep learning approach for interruption attacks detection in LEO satellite networks—0
Differentially-Private Bayes Consistency—0
Leveraging Structure for Improved Classification of Grouped Biased DataCode0
Metric Elicitation; Moving from Theory to Practice—0
Hybrid Model using Feature Extraction and Non-linear SVM for Brain Tumor Classification—0
Transformers for End-to-End InfoSec Tasks: A Feasibility Study—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