SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6601–6650 of 14581 papers

TitleStatusHype
Dynamically Visual Disambiguation of Keyword-based Image Search—0
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification—0
Dynamic Classification in Web Archiving Collections—0
Dynamic classifier chains for multi-label learning—0
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning—0
Dynamic Curriculum Learning for Imbalanced Data Classification—0
Dynamic Ensemble Selection VS K-NN: why and when Dynamic Selection obtains higher classification performance?—0
Dynamic Feature Scaling for Online Learning of Binary Classifiers—0
Dynamic Functional Connectivity and Graph Convolution Network for Alzheimer's Disease Classification—0
Dynamic Graph Convolutional Networks—0
Dynamic Memory Induction Networks for Few-Shot Text Classification—0
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions—0
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification—0
Dynamic Region-Aware Convolution—0
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization—0
Dynamics Based Features For Graph Classification—0
Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis—0
Dynamic Spectrum Matching with One-shot Learning—0
Dynamic Stacked Generalization for Node Classification on Networks—0
Dynamic texture analysis with diffusion in networks—0
Dynamic texture and scene classification by transferring deep image features—0
Dynamic time warping distance for message propagation classification in Twitter—0
Dynamic Traffic Scene Classification with Space-Time Coherence—0
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification—0
DynamoNet: Dynamic Action and Motion Network—0
eAnt-Miner : An Ensemble Ant-Miner to Improve the ACO Classification—0
Earliness-Aware Deep Convolutional Networks for Early Time Series Classification—0
Early Classification for Agricultural Monitoring from Satellite Time Series—0
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms—0
Early Classification of Time Series is Meaningful—0
Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning—0
Early Diagnosis of Pneumonia with Deep Learning—0
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning—0
Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks—0
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network—0
Early Stopping for Nonparametric Testing—0
Early text classification: a Na\" solution—0
Early text classification: a Naive solution—0
Early Text Classification Using Multi-Resolution Concept Representations—0
EasiCS: the objective and fine-grained classification method of cervical spondylosis dysfunction—0
EC3: Combining Clustering and Classification for Ensemble Learning—0
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features—0
ECG Classification with a Convolutional Recurrent Neural Network—0
ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification—0
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification—0
ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models—0
ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods—0
ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features—0
ECOC-Based Training of Neural Networks for Face Recognition—0
Ecological Data Analysis Based on Machine Learning Algorithms—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