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Binary Classification

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Showing 2226–2250 of 2574 papers

TitleStatusHype
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics—0
Binary Classification with Positive Labeling Sources—0
Binary Classifier Calibration: Bayesian Non-Parametric Approach—0
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models—0
Binary disease prediction using tail quantiles of the distribution of continuous biomarkers—0
Biomarker based Cancer Classification using an Ensemble with Pre-trained Models—0
Bispectrum Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types—0
Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization—0
BLIA: Detect model memorization in binary classification model through passive Label Inference attack—0
BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts—0
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis—0
Boosting in the presence of outliers: adaptive classification with non-convex loss functions—0
Boosting the kernelized shapelets: Theory and algorithms for local features—0
Boosting the Performance of Transformer Architectures for Semantic Textual Similarity—0
Boosting with Abstention—0
BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification—0
Brain Tumor Radiogenomic Classification—0
Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection—0
Breaking Fair Binary Classification with Optimal Flipping Attacks—0
Breaking the Token Barrier: Chunking and Convolution for Efficient Long Text Classification with BERT—0
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning—0
Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens—0
Building Decision Forest via Deep Reinforcement Learning—0
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering—0
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence—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