SOTAVerified

Binary Classification

Papers

Showing 351375 of 2574 papers

TitleStatusHype
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding ApproachCode0
Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic0
CTRQNets & LQNets: Continuous Time Recurrent and Liquid Quantum Neural Networks0
Infusing Acoustic Pause Context into Text-Based Dementia Assessment0
Logic interpretations of ANN partition cells0
A Novel Feature Space Augmentation Method to Improve Classification Performance and Evaluation ReliabilityCode0
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection0
Obfuscated Memory Malware Detection0
DeepDiveAI: Identifying AI Related Documents in Large Scale Literature Data0
A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation0
Learning Deep Tree-based Retriever for Efficient Recommendation: Theory and MethodCode0
XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-RaysCode0
A Little Confidence Goes a Long Way0
pSVM: Soft-margin SVMs with p-norm Hinge LossCode0
Area under the ROC Curve has the Most Consistent Evaluation for Binary Classification0
NP-TCMtarget: a network pharmacology platform for exploring mechanisms of action of Traditional Chinese medicine0
Optimal Symmetries in Binary Classification0
Protein Language Models and Machine Learning Facilitate the Identification of Antimicrobial PeptidesCode0
SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis0
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based InterpretabilityCode0
Cautious Calibration in Binary ClassificationCode0
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text DetectionCode1
AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual CorporaCode0
SCREENER: A general framework for task-specific experiment design in quantitative MRI0
Probabilistic Scores of Classifiers, Calibration is not EnoughCode0
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Benchmark Results

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