SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5476–5500 of 14581 papers

TitleStatusHype
Computer Aided Detection of Anemia-like Pallor—0
Spitzoid Lesions Diagnosis based on GA feature selection and Random Forest—0
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue—0
Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network—0
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning—0
Co-Multistage of Multiple Classifiers for Imbalanced Multiclass Learning—0
Concat\'enation de r\'eseaux de neurones pour la classification de tweets, DEFT2018 (Concatenation of neural networks for tweets classification, DEFT2018 )—0
Concept-Based Embeddings for Natural Language Processing—0
Concept Discovery through Information Extraction in Restaurant Domain—0
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing—0
ConceptVision: A Flexible Scene Classification Framework—0
Concise comparative summaries (CCS) of large text corpora with a human experiment—0
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images—0
Conditional Adversarial Networks for Multi-Domain Text Classification—0
Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition—0
Understanding the Limitations of Conditional Generative Models—0
Conditional Graphical Lasso for Multi-Label Image Classification—0
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning—0
Conditional Information Gain Networks—0
Conditional Learning of Fair Representations—0
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud—0
Conditional Network Embeddings—0
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery—0
Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods—0
Confidence Prediction for Lexicon-Free OCR—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
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified