SOTAVerified

Binary Classification

Papers

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Showing 301–325 of 2574 papers

TitleStatusHype
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning—0
SKDU at De-Factify 4.0: Natural Language Features for AI-Generated Text-DetectionCode0
A Causal Framework to Measure and Mitigate Non-binary Treatment DiscriminationCode0
Diffusion models applied to skin and oral cancer classification—0
FakeReasoning: Towards Generalizable Forgery Detection and Reasoning—0
Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation—0
Harnessing Mixed Features for Imbalance Data Oversampling: Application to Bank Customers Scoring—0
Post-Hoc Calibrated Anomaly Detection—0
Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages—0
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction—0
Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification—0
Time-optimal neural feedback control of nilpotent systems as a binary classification problem—0
Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks—0
TruthLens: Explainable DeepFake Detection for Face Manipulated and Fully Synthetic Data—0
Patch-based learning of adaptive Total Variation parameter maps for blind image denoising—0
Probabilistic Quantum SVM Training on Ising Machine—0
TruthLens:A Training-Free Paradigm for DeepFake Detection—0
Scaled Supervision is an Implicit Lipschitz RegularizerCode0
Enhanced ECG Arrhythmia Detection Accuracy by Optimizing Divergence-Based Data Fusion—0
Analysis of human visual field information using machine learning methods and assessment of their accuracy—0
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes—0
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory—0
BLIA: Detect model memorization in binary classification model through passive Label Inference attack—0
Adaptive Deep Learning for Multiclass Breast Cancer Classification via Misprediction Risk Analysis—0
Optimizing Large Language Models for Detecting Symptoms of Comorbid Depression or Anxiety in Chronic Diseases: Insights from Patient Messages—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