Classification

Classification is the task of categorizing a set of data into predefined classes or groups. The aim of classification is to train a model to correctly predict the class or group of new, unseen data. The model is trained on a labeled dataset where each instance is assigned a class label. The learning algorithm then builds a mapping between the features of the data and the class labels. This mapping is then used to predict the class label of new, unseen data points. The quality of the prediction is usually evaluated using metrics such as accuracy, precision, and recall.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 11851–11900 of 12815 papers

Title	Date	Tasks	Status	Hype
Centroid Based Binary Tree Structured SVM for Multi Classification	Dec 2, 2015	ClassificationGeneral Classification	—Unverified	0
Mood Classification of Hindi Songs based on Lyrics	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Automated Analysis of Bangla Poetry for Classification and Poet Identification	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Dependency Extraction for Knowledge-based Domain Classification	Dec 1, 2015	Classificationdomain classification	—Unverified	0
Online Adspace Posts' Category Classification	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Self-Organizing Maps for Classification of a Multi-Labeled Corpus	Dec 1, 2015	ClassificationDocument Classification	—Unverified	0
Semi-Supervised Zero-Shot Classification With Label Representation Learning	Dec 1, 2015	AttributeClassification	—Unverified	0
Improving Ferns Ensembles by Sparsifying and Quantising Posterior Probabilities	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Infinite Feature Selection	Dec 1, 2015	Classificationfeature selection	CodeCode Available	0
Contractive Rectifier Networks for Nonlinear Maximum Margin Classification	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Simultaneous Foreground Detection and Classification With Hybrid Features	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Probabilistic Appearance Models for Segmentation and Classification	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Task-Driven Feature Pooling for Image Classification	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Predtron: A Family of Online Algorithms for General Prediction Problems	Dec 1, 2015	Binary ClassificationClassification	—Unverified	0
Sparse Local Embeddings for Extreme Multi-label Classification	Dec 1, 2015	ClassificationExtreme Multi-Label Classification	—Unverified	0
On the Optimality of Classifier Chain for Multi-label Classification	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Consistent Multilabel Classification	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Fast Classification Rates for High-dimensional Gaussian Generative Models	Dec 1, 2015	Binary ClassificationClassification	—Unverified	0
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks	Dec 1, 2015	ClassificationGeneral Classification	—Unverified	0
Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks	Nov 30, 2015	ClassificationFine-Grained Image Classification	—Unverified	0
Aspect-based Opinion Summarization with Convolutional Neural Networks	Nov 30, 2015	Aspect ExtractionClassification	—Unverified	0
Design of Kernels in Convolutional Neural Networks for Image Classification	Nov 30, 2015	ClassificationGeneral Classification	CodeCode Available	0
Sparse Coral Classification Using Deep Convolutional Neural Networks	Nov 29, 2015	ClassificationColor Normalization	—Unverified	0
Sparseness helps: Sparsity Augmented Collaborative Representation for Classification	Nov 29, 2015	ClassificationGeneral Classification	—Unverified	0
Hierarchical classification of e-commerce related social media	Nov 26, 2015	ClassificationGeneral Classification	—Unverified	0
Exploring Correlation between Labels to improve Multi-Label Classification	Nov 25, 2015	Binary ClassificationClassification	—Unverified	0
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification	Nov 25, 2015	ClassificationGeneral Classification	—Unverified	0
Sparse Linear Models applied to Power Quality Disturbance Classification	Nov 23, 2015	ClassificationGeneral Classification	—Unverified	0
Interpretable Two-level Boolean Rule Learning for Classification	Nov 23, 2015	ClassificationGeneral Classification	—Unverified	0
Non-Sentential Utterances in Dialogue: Experiments in Classification and Interpretation	Nov 22, 2015	ClassificationGeneral Classification	—Unverified	0
L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria	Nov 20, 2015	Classificationfeature selection	—Unverified	0
Training CNNs with Low-Rank Filters for Efficient Image Classification	Nov 20, 2015	ClassificationGeneral Classification	—Unverified	0
Robust Classification by Pre-conditioned LASSO and Transductive Diffusion Component Analysis	Nov 19, 2015	BIG-bench Machine LearningClassification	—Unverified	0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?	Nov 19, 2015	ClassificationComputed Tomography (CT)	—Unverified	0
Multimodal sparse representation learning and applications	Nov 19, 2015	ClassificationDenoising	—Unverified	0
Metric Learning with Adaptive Density Discrimination	Nov 18, 2015	AttributeClassification	CodeCode Available	1
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks	Nov 12, 2015	ClassificationGeneral Classification	—Unverified	0
DataGrinder: Fast, Accurate, Fully non-Parametric Classification Approach Using 2D Convex Hulls	Nov 11, 2015	ClassificationGeneral Classification	—Unverified	0
Facial Expression Detection using Patch-based Eigen-face Isomap Networks	Nov 11, 2015	ClassificationClustering	—Unverified	0
Stochastic Expectation Propagation for Large Scale Gaussian Process Classification	Nov 10, 2015	ClassificationGeneral Classification	—Unverified	0
A Hierarchical Spectral Method for Extreme Classification	Nov 10, 2015	ClassificationGeneral Classification	—Unverified	0
Traffic Sign Classification Using Deep Inception Based Convolutional Networks	Nov 10, 2015	ClassificationGeneral Classification	CodeCode Available	0
Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders	Nov 9, 2015	ClassificationGeneral Classification	CodeCode Available	0
Weakly Supervised Deep Detection Networks	Nov 9, 2015	ClassificationData Augmentation	CodeCode Available	0
Performance Analysis of Multiclass Support Vector Machine Classification for Diagnosis of Coronary Heart Diseases	Nov 7, 2015	Binary ClassificationClassification	—Unverified	0
Review-Level Sentiment Classification with Sentence-Level Polarity Correction	Nov 7, 2015	BIG-bench Machine LearningClassification	—Unverified	0
Diffusion-Convolutional Neural Networks	Nov 6, 2015	ClassificationGeneral Classification	CodeCode Available	0
Image classification based on support vector machine and the fusion of complementary features	Nov 5, 2015	ClassificationClustering	—Unverified	0
Toward an Efficient Multi-class Classification in an Open Universe	Nov 2, 2015	ClassificationGeneral Classification	—Unverified	0
Feature-Based Diversity Optimization for Problem Instance Classification	Oct 29, 2015	ClassificationDiversity	—Unverified	0

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All datasets InDL MHIST N-ImageNet SPOT-10 Full-body Parkinson’s disease dataset Autoimmune Dataset N-CARS N-ImageNet (mini)ImageNet C-OOD (class-out-of-distribution)CWRU Bearing Dataset Burr classification images ForgeryNet

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ConvNext	Average Recall	93.47	—	Unverified
2	VGG16	Average Recall	92.86	—	Unverified
3	DenseNet201	Average Recall	90.99	—	Unverified
4	Inception ResNet V2	Average Recall	90.27	—	Unverified
5	Xception	Average Recall	89.81	—	Unverified
6	NASNetLarge	Average Recall	89.52	—	Unverified
7	Darknet53	Average Recall	88.53	—	Unverified
8	ResNetV2_50	Average Recall	88.08	—	Unverified
9	MobileNetV3	Average Recall	84.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MoCo-v2 (ResNet-50)	Accuracy	88.03	—	Unverified
2	MoCo-v2 (ResNet-50)	Accuracy	85.88	—	Unverified
3	Barlow Twins (ResNet-50)	Accuracy	84.03	—	Unverified
4	SwAV (ResNet-50)	Accuracy	83.21	—	Unverified
5	Supervised (ViT-S/16)	Accuracy	81.68	—	Unverified
6	Barlow Rwins (ResNet-50)	Accuracy	81.27	—	Unverified
7	DINO (ViT-S/16)	Accuracy	79.43	—	Unverified
8	Supervised (ResNet-50)	Accuracy	78.92	—	Unverified
9	SwAV (ResNet-50)	Accuracy	77.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Event Spike Tensor	Accuracy (%)	48.93	—	Unverified
2	DiST	Accuracy (%)	48.43	—	Unverified
3	Sorted Time Surface	Accuracy (%)	47.9	—	Unverified
4	Event Histogram	Accuracy (%)	47.73	—	Unverified
5	HATS	Accuracy (%)	47.14	—	Unverified
6	Binary Event Image	Accuracy (%)	46.36	—	Unverified
7	Timestamp Image	Accuracy (%)	45.86	—	Unverified
8	Event Image	Accuracy (%)	45.77	—	Unverified
9	Time Surface	Accuracy (%)	44.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DenseNet121 Distiller	Accuracy	81.84	—	Unverified
2	ResNet101V2 Distiller	Accuracy	80.29	—	Unverified
3	ResNet50V2 Distiller	Accuracy	79.03	—	Unverified
4	MobileNet Distiller	Accuracy	78.26	—	Unverified
5	MobileNetV3Small Distiller	Accuracy	78.04	—	Unverified
6	MobileNetV3Large Distiller	Accuracy	77.88	—	Unverified
7	NASNetMobile Distiller	Accuracy	77.75	—	Unverified
8	MobileNetV2 Distiller	Accuracy	77.53	—	Unverified
9	ResNet50 Distiller	Accuracy	77.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PoseFormerV2	F1-score (weighted)	0.59	—	Unverified
2	PD STGCN	F1-score (weighted)	0.48	—	Unverified
3	MotionBERT	F1-score (weighted)	0.47	—	Unverified
4	Pose Transformers (POTR)	F1-score (weighted)	0.46	—	Unverified
5	MotionBERT-LITE	F1-score (weighted)	0.43	—	Unverified
6	MotionAGFormer	F1-score (weighted)	0.42	—	Unverified
7	Mixste	F1-score (weighted)	0.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Swin Transformer Base (Patch 4 Window 12)	F1 score	0.89	—	Unverified
2	CASS	F1 score	0.89	—	Unverified
3	CASS	F1 score	0.87	—	Unverified
4	DINO	F1 score	0.86	—	Unverified
5	DINO	F1 score	0.84	—	Unverified
6	VANBUREN et all	F1 score	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MEM	Accuracy (%)	98.55	—	Unverified
2	GET	Accuracy (%)	96.7	—	Unverified
3	ResNet34 + EST	Accuracy (%)	92.5	—	Unverified
4	Spiking VGG-11	Accuracy (%)	92.4	—	Unverified
5	Spiking MobileNet-64	Accuracy (%)	91.7	—	Unverified
6	Spiking DenseNet121-24	Accuracy (%)	90.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Event Imge	Accuracy (%)	61.42	—	Unverified
2	Event Histogram	Accuracy (%)	61.02	—	Unverified
3	Timestamp Image	Accuracy (%)	60.46	—	Unverified
4	DiST	Accuracy (%)	59.74	—	Unverified
5	Sorted Time Surface	Accuracy (%)	58.38	—	Unverified
6	Binary Event Image	Accuracy (%)	53.52	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-L/32-384 with Max-logit	Detection AUROC (severity 0)	1	—	Unverified
2	ViT-L/32-384 with ODIN	Detection AUROC (severity 0)	1	—	Unverified
3	ViT-L/32-384 with Entropy	Detection AUROC (severity 0)	0.99	—	Unverified
4	ViT-L/32-384 with MC Dropout	Detection AUROC (severity 0)	0.99	—	Unverified
5	ViT-L/32-384 with Softmax	Detection AUROC (severity 0)	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MixMamba-Fewshot	10 fold Cross validation	99.93	—	Unverified
2	Few-shot Transformer Covariance	10 fold Cross validation	99.86	—	Unverified
3	MCNN-LSTM	10 fold Cross validation	98.46	—	Unverified
4	CNN	10 fold Cross validation	7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	70_divisions	precision	93.2	—	Unverified
2	60_divisions	precision	93.2	—	Unverified
3	80_divisions	precision	93.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MINTIME-XC	AUC	94.25	—	Unverified
2	SlowFast R-50	AUC	90.86	—	Unverified
3	MINTIME-EF	AUC	90.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DenseNet121	Robustness Score	0.91	—	Unverified
2	ResNet 50	Robustness Score	0.9	—	Unverified
3	VGG-16	Robustness Score	0.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BIOSCAN_1M_order_classifier	Macro F1	92.65	—	Unverified
2	BIOSCAN_1M_family_classifier	Macro F1	91.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	62.5	—	Unverified
2	OPT-125M	Test Accuracy	61.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	75.71	—	Unverified
2	OPT-125M	Test Accuracy	75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT-4	1 shot Micro-F1	96.86	—	Unverified
2	BiLSTM-CRF	1 shot Micro-F1	82.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM	F1-score (Weighted)	86.19	—	Unverified
2	RoBERTa	F1-score (Weighted)	78.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLNet	1:1 Accuracy	95.07	—	Unverified
2	CPM	1:1 Accuracy	50	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	60.89	—	Unverified
2	OPT-125M	Test Accuracy	57.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ELM Neuron	Accuracy (%)	82	—	Unverified
2	LSTM	Accuracy (%)	10	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	90.78	—	Unverified
2	OPT-125M	Test Accuracy	85.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	56.14	—	Unverified
2	OPT-125M	Test Accuracy	53.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	64.16	—	Unverified
2	OPT-125M	Test Accuracy	59.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MambaNet	AUROC	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RandomForestClassifier	Accuracy	82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN + Attention + LSTM + CNN	Accuracy (%)	86.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WeaSEL	1:1 Accuracy	86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DINO	F1 score	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AAPSO-Deep Feature Selection	Accuracy	98.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	Validation Accuracy	93.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet8×4	Accuracy	77.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-L/16 (Background)	Accuracy on Brightness Corrupted Images	99.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	AUC	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	lstm	Accuracy	0.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSTP	Accuracy	95.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RECALL	Overall accuracy after last sequence	57.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RECALL	Overall accuracy after last sequence	4,065	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RRWNet	Accuracy	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TD-CNN- Attention	F1 score	99.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CLIP-RN50x64	1-of-100 Accuracy	61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM	F1 (%)	97.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RRWNet	Accuracy	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HSQformer	AUC	83.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WaferSegClassNet	Accuracy	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	C-Tran, preprocessing, augmentation	ML F1	0.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	μ RadNet	1:1 Accuracy	99.22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Resnet 50	Accuracy (% )	92.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RRWNet	Accuracy	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	pFedBreD_ns_mg	Accuracy	73.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SGD_ss	F1 (Seqeval)	2,020	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LangGas	Frame Level Accuracy	0.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1DCNN-ResNet	macro f1 score (A(100), B(100), C(100) Avg.)	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRIDGE	Accuracy	25.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSI-H Transformer	AUPRC	0.58	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRIDGE	Accuracy	42.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRIDGE	Accuracy	36.2	—	Unverified