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General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 7551–7600 of 14581 papers

TitleStatusHype
Multiclass Disease Predictions Based on Integrated Clinical and Genomics Datasets—0
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions—0
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification—0
Multiclass Language Identification using Deep Learning on Spectral Images of Audio Signals—0
Multiclass learnability and the ERM principle—0
Multiclass Learning Approaches: A Theoretical Comparison with Implications—0
Multi-Class Learning: From Theory to Algorithm—0
Multiclass Learning with Simplex Coding—0
Multi-Class Lesion Diagnosis with Pixel-wise Classification Network—0
Multiclass Model for Agriculture development using Multivariate Statistical method—0
Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition—0
Multi-class Multilingual Classification of Wikipedia Articles Using Extended Named Entity Tag Set—0
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample—0
Multi-Class Optimal Margin Distribution Machine—0
Multiclass Performance Metric Elicitation—0
Multiclass Road Sign Detection using Multiplicative Kernel—0
Multiclass Semi-Supervised Learning on Graphs using Ginzburg-Landau Functional Minimization—0
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms—0
Multiclass Text Classification on Unbalanced, Sparse and Noisy Data—0
Multi-class Text Classification using BERT-based Active Learning—0
Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification—0
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models—0
Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT—0
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging—0
Multi-Dimensional Gender Bias Classification—0
Multidimensional Persistence Module Classification via Lattice-Theoretic Convolutions—0
Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning—0
Multi-element microscope optimization by a learned sensing network with composite physical layers—0
Multi-entity sentiment analysis using entity-level feature extraction and word embeddings approach—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks—0
Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification—0
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition—0
Multi-function Convolutional Neural Networks for Improving Image Classification Performance—0
Multi-grained Attention Network for Aspect-Level Sentiment Classification—0
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification—0
Multi-Instance Multi-Scale CNN for Medical Image Classification—0
Multi-Instance Visual-Semantic Embedding—0
Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble—0
Multi-Label Adversarial Perturbations—0
A New Multilabel System for Automatic Music Emotion Recognition—0
Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges—0
Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines—0
Multi-Label Classification Method Based on Extreme Learning Machines—0
Multi-label classification of promotions in digital leaflets using textual and visual information—0
Multi-label Classification of Surgical Tools with Convolutional Neural Networks—0
Multi-label Classification of User Reactions in Online News—0
Multilabel Classification through Random Graph Ensembles—0
Multilabel Classification using Bayesian Compressed Sensing—0
Multi-label Classification using Labels as Hidden Nodes—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