SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4801–4825 of 14581 papers

TitleStatusHype
Semi-Supervised Zero-Shot Classification With Label Representation Learning—0
Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying—0
Novel Deep Learning Framework for Wideband Spectrum Characterization at Sub-Nyquist Rate—0
Sensing-Aware Kernel SVM—0
Sensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models—0
Sensitive Data Detection and Classification in Spanish Clinical Text: Experiments with BERT—0
Sensor fusion using EMG and vision for hand gesture classification in mobile applications—0
Sensor-Type Classification in Buildings—0
Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus—0
Sentence Based Discourse Classification for Hindi Story Text-to-Speech (TTS) System—0
Sentence Classification for Investment Rules Detection—0
Sentence Encoding with Tree-constrained Relation Networks—0
Sentence-level Emotion Classification with Label and Context Dependence—0
Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model—0
Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification—0
Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters for Tweet Polarity Classification—0
SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification—0
Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet—0
Sentiment Analysis of Arabic Tweets: Feature Engineering and A Hybrid Approach—0
Sentiment Analysis of Arabic Tweets Using Semantic Resources—0
Sentiment Analysis of Tweets in Three Indian Languages—0
Sentiment Analysis of Tweets using Heterogeneous Multi-layer Network Representation and Embedding—0
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks—0
Sentiment Analysis on IMDB Movie Comments and Twitter Data by Machine Learning and Vector Space Techniques—0
Sentiment Analysis using Imperfect Views from Spoken Language and Acoustic Modalities—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