SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10676–10700 of 14581 papers

TitleStatusHype
From Maxout to Channel-Out: Encoding Information on Sparse Pathways—0
From Modal to Multimodal Ambiguities: a Classification Approach—0
From Review to Rating: Exploring Dependency Measures for Text Classification—0
From Task Classification Towards Similarity Measures for Recommendation in Crowdsourcing Systems—0
From text saliency to linguistic objects: learning linguistic interpretable markers with a multi-channels convolutional architecture—0
From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips—0
From visual words to a visual grammar: using language modelling for image classification—0
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis—0
Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification—0
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks—0
Efficient Online ML API Selection for Multi-Label Classification Tasks—0
Fruit classification using deep feature maps in the presence of deceptive similar classes—0
FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification—0
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary—0
Fully Automated Myocardial Infarction Classification using Ordinary Differential Equations—0
Segmentation of the Left Ventricle by SDD double threshold selection and CHT—0
Fully Automatic Electrocardiogram Classification System based on Generative Adversarial Network with Auxiliary Classifier—0
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network—0
When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care—0
Fully Bayesian Analysis of the Relevance Vector Machine Classification for Imbalanced Data—0
Fully Connected Deep Structured Networks—0
Fully convolutional networks for structural health monitoring through multivariate time series classification—0
Fully Convolutional Networks for Text Classification—0
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features—0
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming—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