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Binary Classification

Papers

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Showing 126–150 of 2574 papers

TitleStatusHype
Bilingual Dual-Head Deep Model for Parkinson's Disease Detection from SpeechCode0
VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward ModelsCode0
Utilizing Jailbreak Probability to Attack and Safeguard Multimodal LLMs—0
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers—0
Leveraging Large Language Models to Address Data Scarcity in Machine Learning: Applications in Graphene SynthesisCode0
Biased Heritage: How Datasets Shape Models in Facial Expression RecognitionCode0
Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method—0
On the Development of Binary Classification Algorithm Based on Principles of Geometry and Statistical Inference—0
Large Language Models for Healthcare Text Classification: A Systematic Review—0
Motor Imagery EEG Signals: Multi-Task Classification and Subject Identification with a Lightweight CNN—0
Evaluation of Hate Speech Detection Using Large Language Models and Geographical ContextualizationCode0
Monitoring snow avalanches from SAR data with deep learning—0
Learning sparse generalized linear models with binary outcomes via iterative hard thresholding—0
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoningCode0
DiffFake: Exposing Deepfakes using Differential Anomaly Detection—0
Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling—0
Real-Time Moving Flock Detection in Pedestrian Trajectories Using Sequential Deep Learning Models—0
Using tournaments to calculate AUROC for zero-shot classification with LLMs—0
An Entropic Metric for Measuring Calibration of Machine Learning Models—0
An Interpretable Machine Learning Approach to Understanding the Relationships between Solar Flares and Source Active Regions—0
How Jailbreak Defenses Work and Ensemble? A Mechanistic Investigation—0
Increasing NWP Thunderstorm Predictability Using Ensemble Data and Machine Learning—0
EquiBench: Benchmarking Large Language Models' Understanding of Program Semantics via Equivalence Checking—0
UNITE-FND: Reframing Multimodal Fake News Detection through Unimodal Scene Translation—0
Model-Based Learning for DOA Estimation with One-Bit Single-Snapshot Sparse Arrays—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