SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4601–4650 of 14581 papers

TitleStatusHype
SEAL: Scientific Keyphrase Extraction and Classification—0
Seam Puckering Objective Evaluation Method for Sewing Process—0
Search-based Structured Prediction—0
Searching for Robustness: Loss Learning for Noisy Classification Tasks—0
Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings—0
Search Intelligence: Deep Learning For Dominant Category Prediction—0
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier—0
Search to Distill: Pearls are Everywhere but not the Eyes—0
Second-Order Asymptotically Optimal Statistical Classification—0
Second Order Bilinear Discriminant Analysis for single trial EEG analysis—0
Second-order Democratic Aggregation—0
Second order scattering descriptors predict fMRI activity due to visual textures—0
SECRET: Semantically Enhanced Classification of Real-world Tasks—0
Secrets in Computing Optical Flow by Convolutional Networks—0
Secure Classification With Augmented Features—0
Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data—0
Security Evaluation of Pattern Classifiers under Attack—0
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks—0
Seeing Colors: Learning Semantic Text Encoding for Classification—0
Seeing the Arrow of Time—0
SeemGo: Conditional Random Fields Labeling and Maximum Entropy Classification for Aspect Based Sentiment Analysis—0
SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets—0
Segmental Convolutional Neural Networks for Detection of Cardiac Abnormality With Noisy Heart Sound Recordings—0
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation—0
Segmentation and Classification of Cine-MR Images Using Fully Convolutional Networks and Handcrafted Features—0
Inference of Upcoming Human Grasp Using EMG During Reach-to-Grasp Movement—0
Segmentation and Classification of Skin Lesions for Disease Diagnosis—0
Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach—0
Segmentation-Aware Hyperspectral Image Classification—0
Segmentation et Interprétation de Nuages de Points pour la Modélisation d'Environnements Urbains—0
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors—0
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification—0
Segmentation of skin lesions based on fuzzy classification of pixels and histogram thresholding—0
Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation—0
Segment Relevance Estimation for Audio Analysis and Weakly-Labelled Classification—0
Selecting Biomarkers for building optimal treatment selection rules using Kernel Machines—0
Selecting Regions of Interest in Large Multi-Scale Images for Cancer Pathology—0
Selectional Preferences for Semantic Role Classification—0
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning—0
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification—0
Selective Classification for Deep Neural Networks—0
Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification—0
Selective Synthetic Augmentation with Quality Assurance—0
Selective Zero-Shot Classification with Augmented Attributes—0
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs—0
Self corrective Perturbations for Semantic Segmentation and Classification—0
Self-Discriminative Learning for Unsupervised Document Embedding—0
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification—0
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification—0
Self-Organizing Maps for Classification of a Multi-Labeled Corpus—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