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Binary Classification

Papers

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Showing 1351–1400 of 2574 papers

TitleStatusHype
PAC Learnability of Scenario Decision-Making Algorithms: Necessary and Sufficient Conditions—0
PAC-Learning Uniform Ergodic Communicative Networks—0
PAC learning with stable and private predictions—0
PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion—0
Pairwise Representation Learning for Event Coreference—0
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks—0
Parallel Sentence Retrieval From Comparable Corpora for Biomedical Text Simplification—0
Parity Queries for Binary Classification—0
Partial AUC Maximization via Nonlinear Scoring Functions—0
Partial Face Detection in the Mobile Domain—0
Particle Filtering Methods for Stochastic Optimization with Application to Large-Scale Empirical Risk Minimization—0
Patch-based learning of adaptive Total Variation parameter maps for blind image denoising—0
Patient Independent Interictal Epileptiform Discharge Detection—0
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions—0
PAW at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation : Exploring Cross Lingual Transfer, Augmentations and Adversarial Training—0
Pay Attention: Leveraging Sequence Models to Predict the Useful Life of Batteries—0
New PCA-based Category Encoder for Cybersecurity and Processing Data in IoT Devices—0
Pearson-Matthews correlation coefficients for binary and multinary classification and hypothesis testing—0
Perfect match: Improved cross-modal embeddings for audio-visual synchronisation—0
Performance Analysis of Multiclass Support Vector Machine Classification for Diagnosis of Coronary Heart Diseases—0
Performance Estimation in Binary Classification Using Calibrated Confidence—0
Performance Metric Elicitation from Pairwise Classifier Comparisons—0
Personalized PPG Normalization based on Subject Heartbeat in Resting State Condition—0
PESFormer: Boosting Macro- and Micro-expression Spotting with Direct Timestamp Encoding—0
Photonic Quantum Computing For Polymer Classification—0
PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning—0
PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection—0
Pointwise Binary Classification with Pairwise Confidence Comparisons—0
Pointwise Paraphrase Appraisal is Potentially Problematic—0
Policy Contrastive Imitation Learning—0
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification—0
Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error—0
Post-Hoc Calibrated Anomaly Detection—0
Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision—0
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator—0
PowerGraph: A power grid benchmark dataset for graph neural networks—0
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training—0
Practical Perspectives on Quality Estimation for Machine Translation—0
Precise Statistical Analysis of Classification Accuracies for Adversarial Training—0
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction—0
Predicting Adolescent Suicide Attempts with Neural Networks—0
Predicting BVD Re-emergence in Irish Cattle From Highly Imbalanced Herd-Level Data Using Machine Learning Algorithms—0
Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach—0
Predicting Clickbait Strength in Online Social Media—0
Predicting Customer Churn in World of Warcraft—0
Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal Imaging Data and Machine Learning—0
Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks—0
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation—0
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images—0
Predicting Loss Risks for B2B Tendering Processes—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