SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11426–11450 of 14581 papers

TitleStatusHype
Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks—0
Improving Chinese Sentence Polarity Classification via Opinion Paraphrasing—0
Improving Citation Polarity Classification with Product Reviews—0
Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization—0
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips—0
Improving Classification-Based Natural Language Understanding with Non-Expert Annotation—0
Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition—0
Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning—0
Improving Classification of Twitter Behavior During Hurricane Events—0
Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR—0
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education—0
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT—0
Improving colonoscopy lesion classification using semi-supervised deep learning—0
Improving correlation method with convolutional neural networks—0
Improving Deep Neural Networks with Probabilistic Maxout Units—0
Improving Device Directedness Classification of Utterances with Semantic Lexical Features—0
Improving Dialogue Act Classification for Spontaneous Arabic Speech and Instant Messages at Utterance Level—0
Improving Document-Level Sentiment Classification Using Importance of Sentences—0
Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval—0
Improving End-to-End Speech-to-Intent Classification with Reptile—0
Improving energy efficiency and classification accuracy of neuromorphic chips by learning binary synaptic crossbars—0
Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection—0
Improving Ferns Ensembles by Sparsifying and Quantising Posterior Probabilities—0
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task—0
Enhancing Few-Shot Image Classification with Unlabelled Examples—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