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Binary Classification

Papers

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Showing 1376–1400 of 2574 papers

TitleStatusHype
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
Enhancing binary classification: A new stacking method via leveraging computational geometry—0
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images—0
Enhancing Edge Intelligence with Highly Discriminant LNT Features—0
Enhancing GANs with Contrastive Learning-Based Multistage Progressive Finetuning SNN and RL-Based External Optimization—0
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem—0
Non-Invasive Suicide Risk Prediction Through Speech Analysis—0
Enhancing the Identification of Cyberbullying through Participant Roles—0
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts—0
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts—0
Ensemble Committees for Stock Return Classification and Prediction—0
Ensemble Methods for Sequence Classification with Hidden Markov Models—0
Ensemble Models for Detecting Wikidata Vandalism with Stacking - Team Honeyberry Vandalism Detector at WSDM Cup 2017—0
Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories—0
Ensemble pruning via an integer programming approach with diversity constraints—0
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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