SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6201–6250 of 14581 papers

TitleStatusHype
UofL at SemEval-2016 Task 4: Multi Domain word2vec for Twitter Sentiment Classification—0
UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post's Nesting and Syntax Information for Rumor Stance Classification—0
Urban Land Cover Classification with Missing Data Modalities Using Deep Convolutional Neural Networks—0
Usage of multiple RTL features for Earthquake prediction—0
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks—0
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping—0
Use HMM and KNN for classifying corneal data—0
Use of Ensembles of Fourier Spectra in Capturing Recurrent Concepts in Data Streams—0
Use of First and Third Person Views for Deep Intersection Classification—0
Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics—0
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs—0
User Classification with Multiple Textual Perspectives—0
User Edits Classification Using Document Revision Histories—0
Doppler Spectrum Classification with CNNs via Heatmap Location Encoding and a Multi-head Output Layer—0
User Intent Classification using Memory Networks: A Comparative Analysis for a Limited Data Scenario—0
User Intent Inference for Web Search and Conversational Agents—0
User Type Classification of Tweets with Implications for Event Recognition—0
USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings—0
USF: Chunking for Aspect-term Identification \& Polarity Classification—0
USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection—0
Using a Classifier Ensemble for Proactive Quality Monitoring and Control: the impact of the choice of classifiers types, selection criterion, and fusion process—0
Using anomaly detection to support classification of fast running (packaging) processes—0
Using a Recurrent Neural Network Model for Classification of Tweets Conveyed Influenza-related Information—0
Using a thousand optimization tasks to learn hyperparameter search strategies—0
Using Author Embeddings to Improve Tweet Stance Classification—0
Using CNNs for AD classification based on spatial correlation of BOLD signals during the observation—0
Using Company Specific Headlines and Convolutional Neural Networks to Predict Stock Fluctuations—0
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery—0
Using Context Information for Dialog Act Classification in DNN Framework—0
Using Context to Predict the Purpose of Argumentative Writing Revisions—0
Using Convolutional Neural Networks to Classify Hate-Speech—0
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings—0
Using Data Mining Techniques for Sentiment Shifter Identification—0
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes—0
Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge—0
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour—0
Using Dimension Reduction to Improve the Classification of High-dimensional Data—0
Coherent and Controllable Outfit Generation—0
Using Distributional Thesaurus Embedding for Co-hyponymy Detection—0
Using Ensemble Models in the Histological Examination of Tissue Abnormalities—0
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification—0
Using Gaussian Processes for Rumour Stance Classification in Social Media—0
Using Generic Summarization to Improve Music Information Retrieval Tasks—0
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning—0
Using Hankel Matrices for Dynamics-based Facial Emotion Recognition and Pain Detection—0
Using Hedge Detection to Improve Committed Belief Tagging—0
Using KL-divergence to focus Deep Visual Explanation—0
Using Latent Variable Models to Observe Academic Pathways—0
Using learned optimizers to make models robust to input noise—0
Using machine learning and information visualisation for discovering latent topics in Twitter news—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