SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 1701–1750 of 14581 papers

TitleStatusHype
A Hierarchical Convolutional Neural Network for Malware Classification—0
Vehicle Shape and Color Classification Using Convolutional Neural Network—0
A Scalable Feature Selection and Opinion Miner Using Whale Optimization Algorithm—0
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices—0
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding—0
A scalable stage-wise approach to large-margin multi-class loss based boosting—0
A scene perception system for visually impaired based on object detection and classification using multi-modal DCNN—0
ASCII: ASsisted Classification with Ignorance Interchange—0
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis—0
A Scoring Method for Driving Safety Credit Using Trajectory Data—0
A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis—0
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification—0
Application of the Modified Fractal Signature Method for Terrain Classification from Synthetic Aperture Radar Images—0
A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification—0
A Fundamental Performance Limitation for Adversarial Classification—0
Attentive Prototype Few-shot Learning with Capsule Network-based Embedding—0
A Semantic Cover Approach for Topic Modeling—0
A Hierarchical Spectral Method for Extreme Classification—0
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification—0
A Semi-Automated Approach for Information Extraction, Classification and Analysis of Unstructured Data—0
A semi-supervised approach to message stance classification—0
A Semi-Supervised Bayesian Network Model for Microblog Topic Classification—0
A Semi-Supervised Method for Predicting Cancer Survival Using Incomplete Clinical Data—0
A High Speed Multi-label Classifier based on Extreme Learning Machines—0
A History of Cluster Analysis Using the Classification Society's Bibliography Over Four Decades—0
A Semi-supervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images—0
Active Learning in Video Tracking—0
A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification—0
A Sequential Set Generation Method for Predicting Set-Valued Outputs—0
A Shallow High-Order Parametric Approach to Data Visualization and Compression—0
A Shapelet Transform for Multivariate Time Series Classification—0
A Shapley Value Solution to Game Theoretic-based Feature Reduction in False Alarm Detection—0
A short review on Applications of Deep learning for Cyber security—0
Asian Stamps Identification and Classification System—0
A Simple Algorithm for Maximum Margin Classification, Revisited—0
A Hybrid Both Filter and Wrapper Feature Selection Method for Microarray Classification—0
Application of Support Vector Machines for Seismogram Analysis and Differentiation—0
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation—0
Data classification by quantum radial basis function networks—0
A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification—0
A Hybrid Deep Learning Approach for Texture Analysis—0
A Simple but Effective Classification Model for Grammatical Error Correction—0
A Simple Cache Model for Image Recognition—0
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification—0
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification—0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning—0
A Simple Riemannian Manifold Network for Image Set Classification—0
Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification—0
A simple technique for improving multi-class classification with neural networks—0
Action-Affect Classification and Morphing using Multi-Task Representation Learning—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