SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3851–3900 of 14581 papers

TitleStatusHype
Cost-sensitive Semi-supervised Classification for Fraud Applications—0
Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification—0
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks—0
Binary output layer of feedforward neural networks for solving multi-class classification problems—0
Co-Training for Classification of Live or Studio Music Recordings—0
Co-training for Demographic Classification Using Deep Learning from Label Proportions—0
Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation—0
Co-Training for Topic Classification of Scholarly Data—0
Counterfactual-based minority oversampling for imbalanced classification—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
ACD: Action Concept Discovery from Image-Sentence Corpora—0
Counterfactual Fairness in Text Classification through Robustness—0
Binary Matrix Completion Using Unobserved Entries—0
An Equivalence Between Private Classification and Online Prediction—0
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification—0
Countering hate on social media: Large scale classification of hate and counter speech—0
A Comparative Study on Polyp Classification using Convolutional Neural Networks—0
DCNNs: A Transfer Learning comparison of Full Weapon Family threat detection for Dual-Energy X-Ray Baggage Imagery—0
Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing—0
Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners' Writings—0
Covariance and Correlation Kernels on a Graph in the Generalized Bag-of-Paths Formalism—0
Covariance-engaged Classification of Sets via Linear Programming—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
Covfefe: A Computer Vision Approach For Estimating Force Exertion—0
COVID-19 Classification of X-ray Images Using Deep Neural Networks—0
Covid-19 classification with deep neural network and belief functions—0
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings—0
Binary disease prediction using tail quantiles of the distribution of continuous biomarkers—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification—0
An Epistemic Approach to the Formal Specification of Statistical Machine Learning—0
Binary Classifier Inspired by Quantum Theory—0
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images—0
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities—0
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking—0
Attending Category Disentangled Global Context for Image Classification—0
Crafting a multi-task CNN for viewpoint estimation—0
DCASE 2018 Challenge: Solution for Task 5—0
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification—0
Creating Annotated Dialogue Resources: Cross-domain Dialogue Act Classification—0
Credal Model Averaging for classification: representing prior ignorance and expert opinions—0
Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification—0
Attentional Multilabel Learning over Graphs: A Message Passing Approach—0
Cribriform pattern detection in prostate histopathological images using deep learning models—0
Crick-net: A Convolutional Neural Network based Classification Approach for Detecting Waist High No Balls in Cricket—0
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding—0
Criteria of efficiency for conformal prediction—0
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models—0
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics—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