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Binary Classification

Papers

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Showing 701–750 of 2574 papers

TitleStatusHype
Dealing with Imbalanced Classes in Bot-IoT Dataset—0
A Transformer-Based Framework for Payload Malware Detection and Classification—0
State of the art applications of deep learning within tracking and detecting marine debris: A survey—0
On the rates of convergence for learning with convolutional neural networks—0
A Novel Loss Function-based Support Vector Machine for Binary Classification—0
WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathologyCode0
Biased Binary Attribute Classifiers Ignore the Majority ClassesCode0
Next day fire prediction via semantic segmentation—0
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making—0
Towards Unsupervised Question Answering System with Multi-level Summarization for Legal Text—0
FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning—0
A comparative study on machine learning approaches for rock mass classification using drilling data—0
Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids—0
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches—0
Predictive Analysis of Tuberculosis Treatment Outcomes Using Machine Learning: A Karnataka TB Data Study at a Scale—0
Model Will Tell: Training Membership Inference for Diffusion Models—0
Balancing Fairness and Accuracy in Data-Restricted Binary Classification—0
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance—0
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning—0
A New Machine Learning Dataset of Bulldog Nostril Images for Stenosis Degree Classification—0
Benign overfitting in leaky ReLU networks with moderate input dimension—0
On the Generalization Ability of Unsupervised Pretraining—0
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset—0
Application of Quantum Tensor Networks for Protein Classification—0
Automatic Detection and Classification of Corona Infection (COVID-19) from X-ray Images Using Convolution Neural Network—0
Improve Cost Efficiency of Active Learning over Noisy Dataset—0
Tree-Regularized Tabular EmbeddingsCode0
Automatic Radar Signal Detection and FFT Estimation using Deep Learning—0
Detecting Anti-vaccine Content on Twitter using Multiple Message-Based Network Representations—0
Predicting machine failures from multivariate time series: an industrial case study—0
The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky PatternsCode0
A Provably Accurate Randomized Sampling Algorithm for Logistic RegressionCode0
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?—0
On Trojan Signatures in Large Language Models of Code—0
Fixed Random Classifier Rearrangement for Continual Learning—0
Differentially Private Fair Binary ClassificationsCode0
Annotation and Classification of Relevant Clauses in Terms-and-Conditions ContractsCode0
Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions—0
Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification—0
Guided Quantum Compression for High Dimensional Data ClassificationCode0
Learning-based Bone Quality Classification Method for Spinal Metastasis—0
Oracle-Efficient Differentially Private Learning with Public Data—0
A Novel Gaussian Min-Max Theorem and its Applications—0
You can monitor your hydration level using your smartphone camera—0
On Computationally Efficient Multi-Class Calibration—0
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation—0
Learning Contrastive Feature Representations for Facial Action Unit DetectionCode0
Implicit Bias and Fast Convergence Rates for Self-attention—0
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss FunctionsCode0
News Source Credibility Assessment: A Reddit Case Study—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