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Binary Classification

Papers

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Showing 1026–1050 of 2574 papers

TitleStatusHype
Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification—0
An Approach to Reducing Annotation Costs for BioNLP—0
Adaptive surrogate models for parametric studies—0
Achieving Small Test Error in Mildly Overparameterized Neural Networks—0
A Baseline for Self-state Identification and Classification in Mental Health Data: CLPsych 2025 Task—0
Detecting People Interested in Non-Suicidal Self-Injury on Social Media—0
Detecting Neurodegenerative Diseases using Frame-Level Handwriting Embeddings—0
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated—0
Detecting immune cells with label-free two-photon autofluorescence and deep learning—0
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels—0
Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification—0
Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder—0
Balancing Fairness and Accuracy in Data-Restricted Binary Classification—0
An Analysis of Loss Functions for Binary Classification and Regression—0
Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach—0
Balanced off-policy evaluation in general action spaces—0
Detecting Anti-vaccine Content on Twitter using Multiple Message-Based Network Representations—0
Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling—0
Bad and good errors: value-weighted skill scores in deep ensemble learning—0
An Analysis of Active Learning With Uniform Feature Noise—0
Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning—0
Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks—0
Detecting 5G Narrowband Jammers with CNN, k-nearest Neighbors, and Support Vector Machines—0
Backdoor attacks on DNN and GBDT -- A Case Study from the insurance domain—0
Analytic Study of Double Descent in Binary Classification: The Impact of Loss—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