SOTAVerified

Binary Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1100 of 2574 papers

TitleStatusHype
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing—0
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks—0
Classification of Heart Sounds Using Multi-Branch Deep Convolutional Network and LSTM-CNN—0
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems—0
Classification of glomerular hypercellularity using convolutional features and support vector machine—0
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach—0
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models—0
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation—0
Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings—0
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks—0
Classification of Censored Tweets in Chinese Language using XLNet—0
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification—0
Applying unsupervised keyphrase methods on concepts extracted from discharge sheets—0
A generalized flow for multi-class and binary classification tasks: An Azure ML approach—0
A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces—0
Gaussian Conditional Random Fields for Classification—0
Classification as Direction Recovery: Improved Guarantees via Scale Invariance—0
Classification approach based on association rules mining for unbalanced data—0
A generalised OMP algorithm for feature selection with application to gene expression data—0
Classification and Learning-to-rank Approaches for Cross-Device Matching at CIKM Cup 2016—0
Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness—0
Classification algorithms applied to structure formation simulations—0
Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection—0
Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification—0
Gaussian Conditional Random Fields for Classification—0
Generalized version of the support vector machine for binary classification problems: supporting hyperplane machine—0
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection—0
Applying Multilingual and Monolingual Transformer-Based Models for Dialect Identification—0
Fine-Tuning BERTs for Definition Extraction from Mathematical Text—0
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning—0
Class-Aware Adversarial Lung Nodule Synthesis in CT Images—0
A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification—0
Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion—0
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification—0
Movement-Prediction-Adjusted Naïve Forecast—0
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients—0
Can depth-adaptive BERT perform better on binary classification tasks—0
Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images—0
Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models—0
Fixed Random Classifier Rearrangement for Continual Learning—0
Application of Unsupervised Domain Adaptation for Structural MRI Analysis—0
Flow-based Detection of Botnets through Bio-inspired Optimisation of Machine Learning—0
Fock State-enhanced Expressivity of Quantum Machine Learning Models—0
FOLD-SE: An Efficient Rule-based Machine Learning Algorithm with Scalable Explainability—0
FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning To Rank—0
Classification from Positive and Biased Negative Data with Skewed Labeled Posterior Probability—0
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation—0
Forecasting Drought Using Machine Learning in California—0
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches—0
Fuzzy Least Squares Twin Support Vector Machines—0
Show:102550
← PrevPage 22 of 52Next →
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