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Binary Classification

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Showing 2526–2550 of 2574 papers

TitleStatusHype
Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks—0
Effective Data Augmentation for Sentence Classification Using One VAE per Class—0
Effectively Leveraging BERT for Legal Document Classification—0
Efficient computation and analysis of distributional Shapley values—0
Efficient Large-Scale Structured Learning—0
Efficient logic architecture in training gradient boosting decision tree for high-performance and edge computing—0
Efficient Optimal PAC Learning—0
Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines—0
Efficient Training of One Class Classification-SVMs—0
EFSG: Evolutionary Fooling Sentences Generator—0
Eigenbehaviour as an Indicator of Cognitive Abilities—0
Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms—0
Elimination of All Bad Local Minima in Deep Learning—0
Elvis vs. M. Jackson: Who has More Albums? Classification and Identification of Elements in Comparative Questions—0
Emphasis on the Minimization of False Negatives or False Positives in Binary Classification—0
Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes—0
Empirically Estimable Classification Bounds Based on a New Divergence Measure—0
Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification—0
Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine—0
1-D Convlutional Neural Networks for the Analysis of Pupil Size Variations in Scotopic Conditions—0
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification—0
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability—0
Enforcing Label and Intensity Consistency for IR Target Detection—0
Enhanced ECG Arrhythmia Detection Accuracy by Optimizing Divergence-Based Data Fusion—0
Enhanced Intrusion Detection in IIoT Networks: A Lightweight Approach with Autoencoder-Based Feature Learning—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