SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6501–6525 of 14581 papers

TitleStatusHype
WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling—0
Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network—0
WISDoM: characterizing neurological timeseries with the Wishart distribution—0
"With 1 follower I must be AWESOME :P". Exploring the role of irony markers in irony recognition—0
Within-Between Lexical Relation Classification—0
Within-Brain Classification for Brain Tumor Segmentation—0
Word Channel Based Multiscale Pedestrian Detection Without Image Resizing and Using Only One Classifier—0
Word Embeddings and Their Use In Sentence Classification Tasks—0
Word Embeddings for Multi-label Document Classification—0
Word Embeddings to Enhance Twitter Gang Member Profile Identification—0
Word-level Speech Recognition with a Letter to Word Encoder—0
WordNet2Vec: Corpora Agnostic Word Vectorization Method—0
WordsWorth Scores for Attacking CNNs and LSTMs for Text Classification—0
Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems—0
Work Hard, Play Hard: Email Classification on the Avocado and Enron Corpora—0
Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning—0
Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems—0
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning—0
W-RNN: News text classification based on a Weighted RNN—0
WSNet: Compact and Efficient Networks Through Weight Sampling—0
WSNet: Learning Compact and Efficient Networks with Weight Sampling—0
WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining—0
XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter—0
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
XOR_p A maximally intertwined p-classes problem used as a benchmark with built-in truth for neural networks gradient descent optimization—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