SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 5351–5400 of 14581 papers

TitleStatusHype
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
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals—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
Compact Representation for Image Classification: To Choose or to Compress?—0
Compact retail shelf segmentation for mobile deployment—0
Company classification using machine learning—0
Comparative Analysis of Multiple Deep CNN Models for Waste Classification—0
Comparative Analysis of Text Classification Approaches in Electronic Health Records—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
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
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images—0
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs—0
Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification—0
Comparing Machine Learning and Deep Learning Approaches on NLP Tasks for the Italian Language—0
Comparing Multi-class, Binary and Hierarchical Machine Learning Classification schemes for variable stars—0
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data—0
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech—0
Comparing persistence diagrams through complex vectors—0
Comparing Speech and Text Classification on ICNALE—0
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech—0
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark—0
Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties—0
Comparing Word Representations for Implicit Discourse Relation Classification—0
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification—0
Comparison-Based Random Forests—0
Comparison of 14 different families of classification algorithms on 115 binary datasets—0
Comparison of Attention-based Deep Learning Models for EEG Classification—0
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification—0
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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