SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3451–3500 of 14581 papers

TitleStatusHype
A History of Cluster Analysis Using the Classification Society's Bibliography Over Four Decades—0
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs—0
Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification—0
Comparing Machine Learning and Deep Learning Approaches on NLP Tasks for the Italian Language—0
Contour location via entropy reduction leveraging multiple information sources—0
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data—0
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech—0
Comparing persistence diagrams through complex vectors—0
Comparing Speech and Text Classification on ICNALE—0
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech—0
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark—0
Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties—0
Comparing Word Representations for Implicit Discourse Relation Classification—0
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification—0
Comparison-Based Random Forests—0
Comparison of 14 different families of classification algorithms on 115 binary datasets—0
Comparison of Attention-based Deep Learning Models for EEG Classification—0
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification—0
Asian Stamps Identification and Classification System—0
Comparison of Classification Algorithms Used Medical Documents Categorization—0
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation—0
Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images—0
Comparison of Decision Tree Based Classification Strategies to Detect External Chemical Stimuli from Raw and Filtered Plant Electrical Response—0
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection—0
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification—0
Comparison of different CNNs for breast tumor classification from ultrasound images—0
Comparison of Discrete Choice Models and Artificial Neural Networks in Presence of Missing Variables—0
Comparison of echo state network output layer classification methods on noisy data—0
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers—0
Comparison of Machine Learning Approaches for Industry Classification Based on Textual Descriptions of Companies—0
A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification—0
Comparison of Machine Learning Models in Food Authentication Studies—0
Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components—0
Comparison of Multi-Class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses—0
A Simple but Effective Classification Model for Grammatical Error Correction—0
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare—0
Comparison of Representations of Named Entities for Document Classification—0
Comparison of Short-Text Sentiment Analysis Methods for Croatian—0
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks—0
Comparison of various image fusion methods for impervious surface classification from VNREDSat-1—0
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification—0
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare—0
CORL: Compositional Representation Learning for Few-Shot Classification—0
Compensated Integrated Gradients to Reliably Interpret EEG Classification—0
Competing Ratio Loss for Discriminative Multi-class Image Classification—0
A Simple Riemannian Manifold Network for Image Set Classification—0
Biologically Plausible Learning of Text Representation with Spiking Neural Networks—0
Compilation of an Arabic Children's Corpus—0
Complaint Analysis and Classification for Economic and Food Safety—0
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks—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