SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6676–6700 of 14581 papers

TitleStatusHype
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal—0
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation—0
Effect of Text Processing Steps on Twitter Sentiment Classification using Word Embedding—0
Effect of the sEMG electrode (re)placement and feature set size on the hand movement recognition—0
Effects of annotation granularity in deep learning models for histopathological images—0
Higher Order and Long-Range Synchronization Effects for Classification and Computing in Oscillator-Based Spiking Neural Networks—0
Effects of Image Degradations to CNN-based Image Classification—0
Effects of Images with Different Levels of Familiarity on EEG—0
Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees—0
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation—0
Efficiency of active learning for the allocation of workers on crowdsourced classification tasks—0
Efficient Action Localization with Approximately Normalized Fisher Vectors—0
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network—0
Efficient and Parsimonious Agnostic Active Learning—0
Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers—0
Efficient Classification for Metric Data—0
Efficient Classification of Multi-Labelled Text Streams by Clashing—0
Efficient classification using parallel and scalable compressed model and Its application on intrusion detection—0
Efficient Convolutional Neural Network For Audio Event Detection—0
Efficient Correlated Topic Modeling with Topic Embedding—0
Efficient Decision Trees for Multi-class Support Vector Machines Using Entropy and Generalization Error Estimation—0
Efficient Deep Approximation of GMMs—0
Efficient Deep Feature Learning and Extraction via StochasticNets—0
Efficient Deep Learning of GMMs—0
Efficient Deep Representation Learning by Adaptive Latent Space Sampling—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