SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8026–8050 of 14581 papers

TitleStatusHype
Performance Investigation of Feature Selection Methods—0
Performance measures for classification systems with rejection—0
Performance Metric Elicitation from Pairwise Classifier Comparisons—0
Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology—0
Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-driven Verification—0
Comparison of Statistical and Machine Learning Techniques for Physical Layer Authentication—0
Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework—0
Performance Variability in Zero-Shot Classification—0
Performing Image Classification for 10 Different Monkey Species using CNN—0
Performing Stance Detection on Twitter Data using Computational Linguistics Techniques—0
Per-pixel Classification Rebar Exposures in Bridge Eye-inspection—0
Per-Sample Kernel Adaptation for Visual Recognition and Grouping—0
The Recognition Of Persian Phonemes Using PPNet—0
Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method—0
Persian Wordnet Construction using Supervised Learning—0
Persistence paths and signature features in topological data analysis—0
Persistent Evidence of Local Image Properties in Generic ConvNets—0
Persistent homology machine learning for fingerprint classification—0
Personalization Effect on Emotion Recognition from Physiological Data: An Investigation of Performance on Different Setups and Classifiers—0
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification—0
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods—0
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning—0
Personalizing human activity recognition models using incremental learning—0
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification—0
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified