SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6951–7000 of 14581 papers

TitleStatusHype
Minimum Density Hyperplanes—0
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification—0
Mining and Analyzing the Future Works in Scientific Articles—0
Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification—0
Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion—0
Mining Discriminative Triplets of Patches for Fine-Grained Classification—0
Mining of health and disease events on Twitter: validating search protocols within the setting of Indonesia—0
Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals—0
Min-Max Kernels—0
Minority Reports Defense: Defending Against Adversarial Patches—0
Minor Privacy Protection Through Real-time Video Processing at the Edge—0
Minutiae Based Thermal Face Recognition using Blood Perfusion Data—0
Minutiae Based Thermal Human Face Recognition using Label Connected Component Algorithm—0
miRNA and Gene Expression based Cancer Classification using Self- Learning and Co-Training Approaches—0
Mirror Symmetry Histograms for Capturing Geometric Properties in Images—0
Misfire Detection in IC Engine using Kstar Algorithm—0
Misinformation detection in Luganda-English code-mixed social media text—0
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification—0
Missing Data Imputation for Classification Problems—0
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms—0
Missing Features Reconstruction and Its Impact on Classification Accuracy—0
Missing Value Imputation With Unsupervised Backpropagation—0
Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network based on Analog Resistive Synapse—0
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification—0
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance—0
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification—0
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach—0
MI\&T Lab at SemEval-2017 task 4: An Integrated Training Method of Word Vector for Sentiment Classification—0
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network—0
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations—0
Mixed context networks for semantic segmentation—0
Mixed Formal Learning: A Path to Transparent Machine Learning—0
Mixed Integer Linear Programming for Feature Selection in Support Vector Machine—0
Mixed Neural Network Approach for Temporal Sleep Stage Classification—0
Mixed-norm Regularization for Brain Decoding—0
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection—0
Mixed State Entanglement Classification using Artificial Neural Networks—0
MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings—0
Mixture model-based functional discriminant analysis for curve classification—0
Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework—0
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms—0
Mixture separability loss in a deep convolutional network for image classification—0
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network—0
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization—0
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification—0
MLBench: How Good Are Machine Learning Clouds for Binary Classification Tasks on Structured Data?—0
MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification—0
MOANOFS: Multi-Objective Automated Negotiation based Online Feature Selection System for Big Data Classification—0
MOBA: A multi-objective bounded-abstention model for two-class cost-sensitive problems—0
Mobile Sound Recognition for the Deaf and Hard of Hearing—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