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Binary Classification

Papers

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Showing 551–600 of 2574 papers

TitleStatusHype
ACTRESS: Active Retraining for Semi-supervised Visual Grounding—0
A Symmetric Loss Perspective of Reliable Machine Learning—0
Asymmetric Impurity Functions, Class Weighting, and Optimal Splits for Binary Classification Trees—0
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning—0
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification—0
Convexifying Sparse Interpolation with Infinitely Wide Neural Networks: An Atomic Norm Approach—0
Co-occurring Diseases Heavily Influence the Performance of Weakly Supervised Learning Models for Classification of Chest CT—0
A surrogate loss function for optimization of F_β score in binary classification with imbalanced data—0
A study on the role of subsidiary information in replay attack spoofing detection—0
A Little Confidence Goes a Long Way—0
A study on cost behaviors of binary classification measures in class-imbalanced problems—0
A Link between Coding Theory and Cross-Validation with Applications—0
Active Model Aggregation via Stochastic Mirror Descent—0
Convergence Properties of Deep Neural Networks on Separable Data—0
A study of conceptual language similarity: comparison and evaluation—0
Aligning Multiclass Neural Network Classifier Criterion with Task Performance via F_β-Score—0
A Study imbalance handling by various data sampling methods in binary classification—0
Astrometric Binary Classification Via Artificial Neural Networks—0
Algebraic Ground Truth Inference: Non-Parametric Estimation of Sample Errors by AI Algorithms—0
Accelerating Stochastic Gradient Descent Using Antithetic Sampling—0
Convergence Rates for Empirical Estimation of Binary Classification Bounds—0
A Streaming Algorithm for Crowdsourced Data Classification—0
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization—0
ALEVS: Active Learning by Statistical Leverage Sampling—0
A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning—0
A Large Visual, Qualitative and Quantitative Dataset of Web Pages—0
MaxiMin Active Learning in Overparameterized Model Classes—0
Assigning a Grade: Accurate Measurement of Road Quality Using Satellite Imagery—0
Assessing Upper Limb Motor Function in the Immediate Post-Stroke Perioud Using Accelerometry—0
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening—0
AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture—0
Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data—0
Deepfake Forensic Analysis: Source Dataset Attribution and Legal Implications of Synthetic Media Manipulation—0
Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities—0
Convergence of Uncertainty Sampling for Active Learning—0
Convergence Rates of Active Learning for Maximum Likelihood Estimation—0
Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks—0
Assessing clinical utility of Machine Learning and Artificial Intelligence approaches to analyze speech recordings in Multiple Sclerosis: A Pilot Study—0
Active Learning for Multi-class Image Classification—0
A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification—0
ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification—0
Accelerated Neural Network Training with Rooted Logistic Objectives—0
Continuous Output Personality Detection Models via Mixed Strategy Training—0
Comparing Quantum Encoding Techniques—0
Comparing Multi-class, Binary and Hierarchical Machine Learning Classification schemes for variable stars—0
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods—0
A Smart Healthcare System for Monkeypox Skin Lesion Detection and Tracking—0
Comparative study of Deep Learning Models for Binary Classification on Combined Pulmonary Chest X-ray Dataset—0
Comparison of Discrete Choice Models and Artificial Neural Networks in Presence of Missing Variables—0
A Hybrid Approach for Binary Classification of Imbalanced Data—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