SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8001–8050 of 14581 papers

TitleStatusHype
Notes on Margin Training and Margin p-Values for Deep Neural Network Classifiers—0
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation—0
Novel Classification of Ischemic Heart Disease Using Artificial Neural Network—0
Novel Event Detection and Classification for Historical Texts—0
Novel Keyword Extraction and Language Detection Approaches—0
Novel Methods for Activity Classification and Occupany Prediction Enabling Fine-grained HVAC Control—0
Novelty Detection with GAN—0
Novel Uncertainty Framework for Deep Learning Ensembles—0
Now that I Have a Good Theory of Uncertainty, What Else Do I Need?—0
NPC: Neighbors Progressive Competition Algorithm for Classification of Imbalanced Data Sets—0
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds—0
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake—0
Nrityantar: Pose oblivious Indian classical dance sequence classification system—0
NtMalDetect: A Machine Learning Approach to Malware Detection Using Native API System Calls—0
NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents—0
NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers—0
NTNU: Domain Semi-Independent Short Message Sentiment Classification—0
NTU-1 at SemEval-2017 Task 12: Detection and classification of temporal events in clinical data with domain adaptation—0
NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers—0
Numeral Understanding in Financial Tweets for Fine-grained Crowd-based Forecasting—0
Geometric Interpretation of Running Nyström-Based Kernel Machines and Error Analysis—0
oASIS: Adaptive Column Sampling for Kernel Matrix Approximation—0
Object Activity Scene Description, Construction and Recognition—0
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation—0
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification—0
Object Boundary Detection and Classification with Image-level Labels—0
Object-centric Sampling for Fine-grained Image Classification—0
Object Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors—0
Object classification from randomized EEG trials—0
Object Classification in Images of Neoclassical Artifacts Using Deep Learning—0
Object classification in images of Neoclassical furniture using Deep Learning—0
Object Classification using Ensemble of Local and Deep Features—0
Object Classification with Adaptable Regions—0
Object Classification with Joint Projection and Low-rank Dictionary Learning—0
Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks—0
Object Detection as a Positive-Unlabeled Problem—0
Object Detection by Labeling Superpixels—0
Object Detection in Videos by High Quality Object Linking—0
Object Detection Networks on Convolutional Feature Maps—0
Object Detection on Single Monocular Images through Canonical Correlation Analysis—0
Objective Classes for Micro-Facial Expression Recognition—0
Objective evaluation metrics for automatic classification of EEG events—0
Objective Multi-variable Classification and Inference of Biological Neuronal Networks—0
Object-Level Context Modeling For Scene Classification with Context-CNN—0
Object-Level Representation Learning for Few-Shot Image Classification—0
Object localization in ImageNet by looking out of the window—0
Object Recognition by Using Multi-level Feature Point Extraction—0
Object Recognition System Design in Computer Vision: a Universal Approach—0
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach—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