SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 9526–9550 of 14581 papers

TitleStatusHype
Self-Supervised Learning of Context-Aware Pitch Prosody Representations—0
Unsupervised Representation Learning of DNA Sequences—0
Unsupervised Segmentation Algorithms' Implementation in ITK for Tissue Classification via Human Head MRI Scans—0
Unsupervised Segmentation of Multispectral Images with Cellular Automata—0
Unsupervised seismic facies classification using deep convolutional autoencoder—0
Unsupervised Sequence Classification using Sequential Output Statistics—0
Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank—0
Unsupervised single-particle deep clustering via statistical manifold learning—0
Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder—0
Unsupervised Steganalysis Based on Artificial Training Sets—0
Unsupervised Structure Discovery for Semantic Analysis of Audio—0
Unsupervised Task Design to Meta-Train Medical Image Classifiers—0
Unsupervised vehicle recognition using incremental reseeding of acoustic signatures—0
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?—0
Untangling AdaBoost-based Cost-Sensitive Classification. Part I: Theoretical Perspective—0
Untangling AdaBoost-based Cost-Sensitive Classification. Part II: Empirical Analysis—0
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection—0
UofL at SemEval-2016 Task 4: Multi Domain word2vec for Twitter Sentiment Classification—0
UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post's Nesting and Syntax Information for Rumor Stance Classification—0
Urban Land Cover Classification with Missing Data Modalities Using Deep Convolutional Neural Networks—0
Usage of multiple RTL features for Earthquake prediction—0
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks—0
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping—0
Use HMM and KNN for classifying corneal data—0
Use of Ensembles of Fourier Spectra in Capturing Recurrent Concepts in Data Streams—0
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Benchmark Results

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