SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11551–11600 of 14581 papers

TitleStatusHype
A multi-task learning model for malware classification with useful file access pattern from API call sequence—0
Mixed context networks for semantic segmentation—0
Shape-based defect classification for Non Destructive Testing—0
M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames ClassificationCode0
Improving Covariance-Regularized Discriminant Analysis for EHR-based Predictive Analytics of Diseases—0
Membership Inference Attacks against Machine Learning ModelsCode0
Statistical Learning Theory Approach for Data Classification with l-diversity—0
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models—0
Decision Tree Classification on Outsourced Data—0
From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips—0
Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification—0
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification—0
Efficient Metric Learning for the Analysis of Motion DataCode0
Wind ramp event prediction with parallelized Gradient Boosted Regression Trees—0
Dynamic Stacked Generalization for Node Classification on Networks—0
Generalization of metric classification algorithms for sequences classification and labelling—0
Incremental One-Class Models for Data Classification—0
Similarity Learning for Time Series Classification—0
Mixed Neural Network Approach for Temporal Sleep Stage Classification—0
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation—0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification—0
Are Accuracy and Robustness Correlated?—0
Bank Card Usage Prediction Exploiting Geolocation Information—0
Assessing Threat of Adversarial Examples on Deep Neural Networks—0
Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data—0
Post Selection Inference with Kernels—0
Semi-supervised Discovery of Informative Tweets During the Emerging Disasters—0
Minimax Filter: Learning to Preserve Privacy from Inference AttacksCode0
Optimistic Semi-supervised Least Squares Classification—0
Supervised Term Weighting Metrics for Sentiment Analysis in Short Text—0
Deep Pyramidal Residual NetworksCode0
Correlation-Based Method for Sentiment Classification—0
EM-Based Mixture Models Applied to Video Event Detection—0
Variance-based regularization with convex objectivesCode0
Temporal Ensembling for Semi-Supervised LearningCode0
Morphology Generation for Statistical Machine Translation using Deep Learning Techniques—0
Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach—0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
A Methodology for Customizing Clinical Tests for Esophageal Cancer based on Patient Preferences—0
Combining Generative and Discriminative Neural Networks for Sleep Stages Classification—0
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting—0
Adaptive Online Sequential ELM for Concept Drift Tackling—0
Effective Classification of MicroRNA Precursors Using Combinatorial Feature Mining and AdaBoost Algorithms—0
Sequence-based Sleep Stage Classification using Conditional Neural Fields—0
Multiple Regularizations Deep Learning for Paddy Growth Stages Classification from LANDSAT-8—0
Places: An Image Database for Deep Scene Understanding—0
Mobility Map Computations for Autonomous Navigation using an RGBD Sensor—0
Nonlinear Systems Identification Using Deep Dynamic Neural NetworksCode0
Understanding intermediate layers using linear classifier probesCode0
Binary classification of multi-channel EEG records based on the ε-complexity of continuous vector functions—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

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