SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8101–8150 of 14581 papers

TitleStatusHype
Polarity Classification of Short Product Reviews via Multiple Cluster-based SVM Classifiers—0
Polarization Measurement of High Dimensional Social Media Messages With Support Vector Machine Algorithm Using Mapreduce—0
Polar Prototype Networks—0
Policy Entropy for Out-of-Distribution Classification—0
Policy Preference Detection in Parliamentary Debate Motions—0
Political discourse classification in social networks using context sensitive convolutional neural networks—0
Political Homophily in Independence Movements: Analysing and Classifying Social Media Users by National Identity—0
Political News Sentiment Analysis for Under-resourced Languages—0
Pollen13K: A Large Scale Microscope Pollen Grain Image Dataset—0
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks—0
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine—0
PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field—0
Polyhedral Conic Classifiers for Visual Object Detection and Classification—0
Polyhedron Volume-Ratio-based Classification for Image Recognition—0
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms—0
Pooling in Graph Convolutional Neural Networks—0
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs—0
Poor man's lemmatisation for automatic error classification—0
Population Gradients improve performance across data-sets and architectures in object classification—0
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems—0
Portmanteau Vocabularies for Multi-Cue Image Representation—0
Pose Estimation Based on 3D Models—0
Pose Guided Attention for Multi-label Fashion Image Classification—0
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM—0
Positive and Unlabeled Learning through Negative Selection and Imbalance-aware Classification—0
Positive Semidefinite Metric Learning with Boosting—0
Positive semidefinite support vector regression metric learning—0
Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error—0
POS Tagging and its Applications for Mathematics—0
Post Selection Inference with Kernels—0
Potential and Limitations of Cross-Domain Sentiment Classification—0
Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM—0
Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application—0
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification—0
Power Optimizations in MTJ-based Neural Networks through Stochastic Computing—0
Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing—0
Power System Event Identification based on Deep Neural Network with Information Loading—0
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification—0
PPP: Joint Pointwise and Pairwise Image Label Prediction—0
PR2: A Language Independent Unsupervised Tool for Personality Recognition from Text—0
Practical Contextual Bandits with Regression Oracles—0
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification—0
Practical Introduction to Clustering Data—0
Practical method to reclassify Web of Science articles into unique subject categories and broad disciplines—0
Practical Perspectives on Quality Estimation for Machine Translation—0
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions—0
Practical Selection of SVM Supervised Parameters with Different Feature Representations for Vowel Recognition—0
PRADO: Projection Attention Networks for Document Classification On-Device—0
Pragmatic classification of movement primitives for stroke rehabilitation—0
Precise Statistical Analysis of Classification Accuracies for Adversarial Training—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