SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6251–6300 of 14581 papers

TitleStatusHype
Using Machine Learning and Natural Language Processing Techniques to Analyze and Support Moderation of Student Book Discussions—0
Using machine learning for medium frequency derivative portfolio trading—0
Using Machine Learning to Automate Mammogram Images Analysis—0
Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification—0
Using objective words in the reviews to improve the colloquial arabic sentiment analysis—0
Using Ontologies To Improve Performance In Massively Multi-label Prediction—0
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models—0
Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System—0
Using Pivot-Based Paraphrasing and Sentiment Profiles to Improve a Subjectivity Lexicon for Essay Data—0
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of Relevant and Open-Set Irrelevant Images—0
Using Self-Organizing Maps for Sentiment Analysis—0
Using Skipgrams, Bigrams, and Part of Speech Features for Sentiment Classification of Twitter Messages—0
Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research—0
Using transfer learning to detect galaxy mergers—0
Using unmarked contexts in nominal lexical semantic classification—0
Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties—0
Using Word Embeddings in Twitter Election Classification—0
UTCNN: a Deep Learning Model of Stance Classification on Social Media Text—0
UTFPR at WMT 2018: Minimalistic Supervised Corpora Filtering for Machine Translation—0
Utilisabilit\'e d'une ressource propri\'etaire riche dans le cadre de la classification de documents [in French]—0
Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research—0
Utility-Theoretic Ranking for Semi-Automated Text Classification—0
Utilizing Deep Learning to Identify Drug Use on Twitter Data—0
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing—0
Utilizing Imbalanced Data and Classification Cost Matrix to Predict Movie Preferences—0
Utilizing Pre-Trained Word Embeddings to Learn Classification Lexicons with Little Supervision—0
Utilizing Probase in Open Directory Project-based Text Classification—0
Utilizing Visual Forms of Japanese Characters for Neural Review Classification—0
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders—0
UTTime: Temporal Relation Classification using Deep Syntactic Features—0
UTU at SemEval-2016 Task 10: Binary Classification for Expression Detection (BCED)—0
UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge—0
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets—0
UW-NET: AN INCEPTION-ATTENTION NETWORK FOR UNDERWATER IMAGE CLASSIFICATION—0
UZH@SMM4H: System Descriptions—0
Validation and generalization of pixel-wise relevance in convolutional neural networks trained for face classification—0
Validation of Soft Classification Models using Partial Class Memberships: An Extended Concept of Sensitivity & Co. applied to the Grading of Astrocytoma Tissues—0
Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification—0
Variable margin losses for classifier design—0
Variable Star Classification Using Multi-View Metric Learning—0
Variable Weights Neural Network For Diabetes Classification—0
Variants of BERT, Random Forests and SVM approach for Multimodal Emotion-Target Sub-challenge—0
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study—0
Variational Autoencoders for Semi-supervised Text Classification—0
Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution—0
Variational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data—0
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges—0
Variational Capsules for Image Analysis and Synthesis—0
Variational Connectionist Temporal Classification—0
Variational Encoder-based Reliable 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