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General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 12001–12050 of 14581 papers

TitleStatusHype
Learning Deep Representation for Imbalanced Classification—0
Learning Activity Progression in LSTMs for Activity Detection and Early Detection—0
Efficient Deep Learning for Stereo MatchingCode0
Conditional Graphical Lasso for Multi-Label Image Classification—0
A Text Detection System for Natural Scenes With Convolutional Feature Learning and Cascaded Classification—0
Identifying Referenced Text in Scientific Publications by Summarisation and Classification Techniques—0
Early text classification: a Na\" solution—0
Insights from Russian second language readability classification: complexity-dependent training requirements, and feature evaluation of multiple categories—0
Classification of mental health forum posts—0
Classification of comment helpfulness to improve knowledge sharing among medical practitioners.—0
Bilingual Chronological Classification of Hafez's Poems—0
Automated classification of collaborative problem solving interactions in simulated science tasks—0
DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach—0
I2RNTU at SemEval-2016 Task 4: Classifier Fusion for Polarity Classification in Twitter—0
IIP at SemEval-2016 Task 4: Prioritizing Classes in Ensemble Classification for Sentiment Analysis of Tweets—0
IIIT at SemEval-2016 Task 11: Complex Word Identification using Nearest Centroid Classification—0
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification—0
YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network—0
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble—0
UniPI at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification—0
UTU at SemEval-2016 Task 10: Binary Classification for Expression Detection (BCED)—0
SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision—0
SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification—0
MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification—0
UFAL at SemEval-2016 Task 5: Recurrent Neural Networks for Sentence Classification—0
UofL at SemEval-2016 Task 4: Multi Domain word2vec for Twitter Sentiment Classification—0
LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification—0
Using Context to Predict the Purpose of Argumentative Writing Revisions—0
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence—0
Breaking the Closed World Assumption in Text Classification—0
Dependency Based Embeddings for Sentence Classification Tasks—0
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models—0
Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification—0
Intra-Topic Variability Normalization based on Linear Projection for Topic Classification—0
Distinguishing Literal and Non-Literal Usage of German Particle Verbs—0
Joint Learning with Global Inference for Comment Classification in Community Question Answering—0
Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification—0
Exploring Fine-Grained Emotion Detection in Tweets—0
Hierarchical Attention Networks for Document ClassificationCode0
Deep LSTM based Feature Mapping for Query Classification—0
Emergent: a novel data-set for stance classification—0
Clustering with phylogenetic tools in astrophysics—0
Decoding Emotional Experience through Physiological Signal Processing—0
Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization—0
A Survey of Qualitative Spatial and Temporal Calculi -- Algebraic and Computational Properties—0
On a Topic Model for SentencesCode0
On the equivalence between Kolmogorov-Smirnov and ROC curve metrics for binary classification—0
The use of deep learning in image segmentation, classification and detection—0
Linear Classification of data with Support Vector Machines and Generalized Support Vector Machines—0
A Sparse Representation of Complete Local Binary Pattern Histogram for Human Face Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified