SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3401–3450 of 14581 papers

TitleStatusHype
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification—0
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification—0
A Neural Network Anomaly Detector Using the Random Cluster Model—0
A Hierarchical Convolutional Neural Network for Malware Classification—0
Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification—0
Vehicle Shape and Color Classification Using Convolutional Neural Network—0
Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias—0
Combining Texture and Shape Cues for Object Recognition With Minimal Supervision—0
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification—0
Combining Weakly and Webly Supervised Learning for Classifying Food Images—0
Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text—0
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification—0
CommAI: Evaluating the first steps towards a useful general AI—0
Comment: Entropy Learning for Dynamic Treatment Regimes—0
Comment on "Ensemble Projection for Semi-supervised Image Classification"—0
Comments on "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?"—0
Committees of deep feedforward networks trained with few data—0
Exploring the Interchangeability of CNN Embedding Spaces—0
Common Mode Patterns for Supervised Tensor Subspace Learning—0
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface—0
Communication-Aware Collaborative Learning—0
Community Aware Random Walk for Network Embedding—0
Community Detection and Classification in Hierarchical Stochastic Blockmodels—0
Como funciona o Deep Learning—0
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification—0
A Hierarchical Multi-Output Nearest Neighbor Model for Multi-Output Dependence Learning—0
A comparison and analysis of models for event trigger detection—0
Compact Encoding of Words for Efficient Character-level Convolutional Neural Networks Text Classification—0
Compact Feature Learning for Multi-Domain Image Classification—0
Compact Learning for Multi-Label Classification—0
Consistent Multilabel Classification—0
Compact retail shelf segmentation for mobile deployment—0
Constrained deep neural network architecture search for IoT devices accounting hardware calibration—0
Comparative Analysis of Multiple Deep CNN Models for Waste Classification—0
Comparative Analysis of Text Classification Approaches in Electronic Health Records—0
A Semantic Cover Approach for Topic Modeling—0
Comparative judgments are more consistent than binary classification for labelling word complexity—0
Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants—0
Comparative Study Of Image Edge Detection Algorithms—0
Comparative Study of Instance Based Learning and Back Propagation for Classification Problems—0
Comparative Study on Generative Adversarial Networks—0
Comparative survey of visual object classifiers—0
A semi-supervised approach to message stance classification—0
Comparing a Hand-crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation—0
Comparing approaches for mitigating intergroup variability in personality recognition—0
Comparing Automatic and Human Evaluation of Local Explanations for Text Classification—0
Comparing BERT against traditional machine learning text classification—0
Comparing Classification Models on Kepler Data—0
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling—0
Constrained Low-Rank Learning Using Least Squares-Based Regularization—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