SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6501–6550 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
X-ray Scattering Image Classification Using Deep Learning—0
XRCE: Hybrid Classification for Aspect-based Sentiment Analysis—0
X-TREPAN: a multi class regression and adapted extraction of comprehensible decision tree in artificial neural networks—0
Yelp Dataset Challenge: Review Rating Prediction—0
Yelp Food Identification via Image Feature Extraction and Classification—0
Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease—0
Y-net: 3D intracranial artery segmentation using a convolutional autoencoder—0
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations—0
YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter—0
YNU\_DYX at SemEval-2019 Task 9: A Stacked BiLSTM for Suggestion Mining Classification—0
YNU-HPCC at IJCNLP-2017 Task 4: Attention-based Bi-directional GRU Model for Customer Feedback Analysis Task of English—0
YNU-HPCC at SemEval 2017 Task 4: Using A Multi-Channel CNN-LSTM Model for Sentiment Classification—0
YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets—0
YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on Twitter—0
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration—0
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video—0
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos—0
YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model—0
YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network—0
Z Distance Function for KNN Classification—0
Zero-Shot Audio Classification Based on Class Label Embeddings—0
Zero-Shot Audio Classification via Semantic Embeddings—0
Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections—0
Zero-Shot Classification With Discriminative Semantic Representation Learning—0
Zero-shot Cross Language Text 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