SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7976–8000 of 14581 papers

TitleStatusHype
Partial differential equation regularization for supervised machine learning—0
Partial Face Detection in the Mobile Domain—0
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications—0
Participation anticipating in elections using data mining methods—0
Participation d'EDF R\&D \`a DEFT 2018 (Here the title in English)—0
Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise—0
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks—0
Partitioning signal classes using transport transforms for data analysis and machine learning—0
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization—0
Part-Stacked CNN for Fine-Grained Visual Categorization—0
Passive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents—0
Commit2Vec: Learning Distributed Representations of Code Changes—0
Patch Based Classification of Remote Sensing Data: A Comparison of 2D-CNN, SVM and NN Classifiers—0
Patchnet: Interpretable Neural Networks for Image Classification—0
PatchShuffle Regularization—0
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification—0
Pathological myopia classification with simultaneous lesion segmentation using deep learning—0
Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine—0
Patient representation learning and interpretable evaluation using clinical notes—0
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task—0
Pattern Recognition using Artificial Immune System—0
Pattern Sampling for Shapelet-based Time Series Classification—0
Pay Attention: Leveraging Sequence Models to Predict the Useful Life of Batteries—0
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning—0
PCANet: An energy perspective—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