SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4201–4250 of 14581 papers

TitleStatusHype
Attentional Multilabel Learning over Graphs: A Message Passing Approach—0
Credal Model Averaging for classification: representing prior ignorance and expert opinions—0
Creating Annotated Dialogue Resources: Cross-domain Dialogue Act Classification—0
A Machine-Learning Phase Classification Scheme for Anomaly Detection in Signals with Periodic Characteristics—0
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification—0
Crafting a multi-task CNN for viewpoint estimation—0
Attending Category Disentangled Global Context for Image Classification—0
A Machine Learning Driven IoT Solution for Noise Classification in Smart Cities—0
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics—0
A character representation enhanced on-device Intent Classification—0
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking—0
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19—0
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation—0
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings—0
Covid-19 classification with deep neural network and belief functions—0
Attacking Graph Convolutional Networks via Rewiring—0
COVID-19 Classification of X-ray Images Using Deep Neural Networks—0
Covfefe: A Computer Vision Approach For Estimating Force Exertion—0
Attacking Few-Shot Classifiers with Adversarial Support Sets—0
A Machine Learning Approach to Online Fault Classification in HPC Systems—0
Covariance estimation using conjugate gradient for 3D classification in Cryo-EM—0
A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification—0
Covariance-engaged Classification of Sets via Linear Programming—0
Covariance and Correlation Kernels on a Graph in the Generalized Bag-of-Paths Formalism—0
Atrial Fibrillation Detection Using Deep Features and Convolutional Networks—0
A Machine Learning Approach to Comment Toxicity Classification—0
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks—0
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting—0
Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners' Writings—0
Coupling weak and strong supervision for classification of prostate cancer histopathology images—0
Coupling innovation method and feasibility analysis of garbage classification—0
Coupled End-to-End Transfer Learning With Generalized Fisher Information—0
Countering hate on social media: Large scale classification of hate and counter speech—0
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification—0
Adaptive Frequency Cepstral Coefficients for Word Mispronunciation Detection—0
Counterfactual Fairness in Text Classification through Robustness—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
Counterfactual-based minority oversampling for imbalanced classification—0
A Topological "Reading" Lesson: Classification of MNIST using TDA—0
Co-Training for Topic Classification of Scholarly Data—0
Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation—0
Co-training for Demographic Classification Using Deep Learning from Label Proportions—0
Co-Training for Classification of Live or Studio Music Recordings—0
A tool for extracting sense-disambiguated example sentences through user feedback—0
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT—0
ACD: Action Concept Discovery from Image-Sentence Corpora—0
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks—0
Cost-sensitive Semi-supervised Classification for Fraud Applications—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
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