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Binary Classification

Papers

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Showing 2001–2050 of 2574 papers

TitleStatusHype
A Methodology for Player Modeling based on Machine Learning—0
A Minimax Probability Machine for Non-Decomposable Performance Measures—0
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification—0
A Model-free Closeness-of-influence Test for Features in Supervised Learning—0
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account—0
A Modified Construction for a Support Vector Classifier to Accommodate Class Imbalances—0
A More Biologically Plausible Local Learning Rule for ANNs—0
Amsqr at SemEval-2022 Task 4: Towards AutoNLP via Meta-Learning and Adversarial Data Augmentation for PCL Detection—0
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation—0
A Multi-task Approach to Predict Likability of Books—0
A Multi-task Deep Network for Person Re-identification—0
An Adaptive Algorithm for Learning with Unknown Distribution Drift—0
An Adaptive Contrastive Learning Model for Spike Sorting—0
An All-Pair Quantum SVM Approach for Big Data Multiclass Classification—0
Analysing Cyberbullying using Natural Language Processing by Understanding Jargon in Social Media—0
Analysing Features Learned Using Unsupervised Models on Program Embeddings—0
Analysis and classification of heart diseases using heartbeat features and machine learning algorithms—0
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm—0
Analysis of human visual field information using machine learning methods and assessment of their accuracy—0
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data—0
Analytic Study of Double Descent in Binary Classification: The Impact of Loss—0
An Analysis of Active Learning With Uniform Feature Noise—0
An Analysis of Loss Functions for Binary Classification and Regression—0
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels—0
An Approach to Reducing Annotation Costs for BioNLP—0
An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks—0
An Asynchronous Distributed Framework for Large-scale Learning Based on Parameter Exchanges—0
Anatomical Pattern Analysis for decoding visual stimuli in human brains—0
Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes—0
An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework—0
A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds—0
An Effective Flow-based Method for Positive-Unlabeled Learning: 2-HNC—0
An Empirical Study of the Occurrence of Heavy-Tails in Training a ReLU Gate—0
An Energy-Based Framework for Arbitrary Label Noise Correction—0
An ensemble learning framework based on group decision making—0
An Entropic Metric for Measuring Calibration of Machine Learning Models—0
A new analytical approach to consistency and overfitting in regularized empirical risk minimization—0
A New Approach in Persian Handwritten Letters Recognition Using Error Correcting Output Coding—0
A New Interpretable Neural Network-Based Rule Model for Healthcare Decision Making—0
A new interval-based aggregation approach based on bagging and Interval Agreement Approach (IAA) in ensemble learning—0
A New Intrusion Detection System using the Improved Dendritic Cell Algorithm—0
A New Machine Learning Dataset of Bulldog Nostril Images for Stenosis Degree Classification—0
A new method for binary classification of proteins with Machine Learning—0
A New Perspective on Pool-Based Active Classification and False-Discovery Control—0
A New Variational Model for Binary Classification in the Supervised Learning Context—0
An Exact Algorithm for F-Measure Maximization—0
An example of use of Variational Methods in Quantum Machine Learning—0
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks—0
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition—0
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification—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