SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8951–9000 of 14581 papers

TitleStatusHype
Integrating global spatial features in CNN based Hyperspectral/SAR imagery classification—0
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification—0
The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version—0
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks—0
The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts—0
The iCub multisensor datasets for robot and computer vision applications—0
The Impact of Indirect Machine Translation on Sentiment Classification—0
The Impact of Modeling Overall Argumentation with Tree Kernels—0
The Importance of Being Earnest: Performance of Modulation Classification for Real RF Signals—0
The Influence of Feature Representation of Text on the Performance of Document Classification—0
The intrinsic value of HFO features as a biomarker of epileptic activity—0
The Knowledge Gradient with Logistic Belief Models for Binary Classification—0
The LAIX Systems in the BEA-2019 GEC Shared Task—0
The Landscape of Empirical Risk for Non-convex Losses—0
The Law of Total Odds—0
The Limits of Learning with Missing Data—0
The Linguistic Ideologies of Deep Abusive Language Classification—0
The Logistic Network Lasso—0
The Mahalanobis distance for functional data with applications to classification—0
The Max-Cut Decision Tree: Improving on the Accuracy and Running Time of Decision Trees—0
The More You Know: Using Knowledge Graphs for Image Classification—0
The Multi-engine ASP Solver ME-ASP: Progress Report—0
The Nataf-Beta Random Field Classifier: An Extension of the Beta Conjugate Prior to Classification Problems—0
The Notary in the Haystack -- Countering Class Imbalance in Document Processing with CNNs—0
The Offset Tree for Learning with Partial Labels—0
The Oracle of DLphi—0
Theoretical Analysis of Adversarial Learning: A Minimax Approach—0
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification—0
Theoretical bounds on data requirements for the ray-based classification—0
Theoretical Foundations of Forward Feature Selection Methods based on Mutual Information—0
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View—0
Theory of Deep Learning III: explaining the non-overfitting puzzle—0
Theory of Dual-sparse Regularized Randomized Reduction—0
Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure—0
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices—0
The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning—0
The phonetic bases of vocal expressed emotion: natural versus acted—0
The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions—0
The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection—0
The Power of Ensembles for Active Learning in Image Classification—0
The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression—0
The price of bandit information in multiclass online classification—0
The problems with using STNs to align CNN feature maps—0
The Quantum Version Of Classification Decision Tree Constructing Algorithm C5.0—0
The R2I\_LIS Team Proposes Majority Vote for VarDial's MRC Task—0
The Radon cumulative distribution transform and its application to image classification—0
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling—0
The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient—0
The Relevance of Text and Speech Features in Automatic Non-native English Accent Identification—0
The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised Training of Support Vector Machines for 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