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 5501–5550 of 12815 papers

Title	Date	Tasks	Status
Czech Text Document Corpus v 2.0	Oct 6, 2017	ClassificationDocument Classification	—Unverified
D2GCLF: Document-to-Graph Classifier for Legal Document Classification	Jul 1, 2022	ClassificationDocument Classification	—Unverified
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification	Jan 30, 2023	ClassificationDisentanglement	—Unverified
DAFFNet: A Dual Attention Feature Fusion Network for Classification of White Blood Cells	May 25, 2024	Classification	—Unverified
Darknet Traffic Classification and Adversarial Attacks	Jun 12, 2022	Adversarial AttackBIG-bench Machine Learning	—Unverified
Dark Web Activity Classification Using Deep Learning	May 30, 2023	ClassificationDeep Learning	—Unverified
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification	Dec 30, 2018	ClassificationDomain Adaptation	—Unverified
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation	Sep 14, 2022	ClassificationData Augmentation	—Unverified
Data-adaptive Active Sampling for Efficient Graph-Cognizant Classification	May 19, 2017	Binary ClassificationClassification	—Unverified
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration	Jul 18, 2024	Classification	—Unverified
Data Analysis of Wireless Networks Using Classification Techniques	Jul 22, 2019	ClassificationGeneral Classification	—Unverified
Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks	Jun 30, 2022	AttributeAutomatic Modulation Recognition	—Unverified
Data Augmentation and Classification of Sea-Land Clutter for Over-the-Horizon Radar Using AC-VAEGAN	Jan 3, 2023	ClassificationData Augmentation	—Unverified
Data Augmentation and Clustering for Vehicle Make/Model Classification	Sep 14, 2020	ClassificationClustering	—Unverified
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset	Aug 16, 2021	ClassificationCOVID-19 Diagnosis	—Unverified
Data augmentation and feature selection for automatic model recommendation in computational physics	Jan 12, 2021	ClassificationData Augmentation	—Unverified
Data augmentation approaches for improving animal audio classification	Dec 16, 2019	Audio ClassificationClassification	—Unverified
Data Augmentation Based on Distributed Expressions in Text Classification Tasks	Oct 1, 2019	ClassificationData Augmentation	—Unverified
Data Augmentation by Pairing Samples for Images Classification	Jan 9, 2018	ClassificationData Augmentation	—Unverified
Data Augmentation for Deep Learning-based Radio Modulation Classification	Dec 6, 2019	ClassificationData Augmentation	—Unverified
Data Augmentation for Electrocardiogram Classification with Deep Neural Network	Sep 5, 2020	ClassificationData Augmentation	—Unverified
Data Augmentation for Graph Convolutional Network on Semi-Supervised Classification	Jun 16, 2021	ClassificationData Augmentation	—Unverified
Data Augmentation for Image Classification using Generative AI	Aug 31, 2024	ClassificationData Augmentation	—Unverified
Data Augmentation for Intent Classification with Generic Large Language Models	Nov 16, 2021	ClassificationData Augmentation	—Unverified
Data Augmentation for Intent Classification	Jun 12, 2022	ClassificationData Augmentation	—Unverified
Data Augmentation for Mental Health Classification on Social Media	Dec 19, 2021	ClassificationData Augmentation	—Unverified
Data Augmentation for Multiclass Utterance Classification -- A Systematic Study	Dec 1, 2020	ClassificationData Augmentation	—Unverified
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey	Oct 16, 2023	ArticlesClassification	—Unverified
Data Augmentation for Traffic Classification	Jan 19, 2024	BenchmarkingClassification	—Unverified
Data Augmentation Imbalance For Imbalanced Attribute Classification	Apr 19, 2020	AttributeClassification	—Unverified
Data Augmentation in Emotion Classification Using Generative Adversarial Networks	Nov 2, 2017	ClassificationData Augmentation	—Unverified
Data Augmentation Using Adversarial Training for Construction-Equipment Classification	Nov 27, 2019	Binary ClassificationClassification	—Unverified
Data Augmentation using Feature Generation for Volumetric Medical Images	Sep 28, 2022	ClassificationData Augmentation	—Unverified
Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification	Dec 28, 2022	ClassificationData Augmentation	—Unverified
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery	May 5, 2020	ClassificationData Augmentation	—Unverified
Data Augmentation Vision Transformer for Fine-grained Image Classification	Nov 23, 2022	ClassificationData Augmentation	—Unverified
Data Centroid Based Multi-Level Fuzzy Min-Max Neural Network	Aug 19, 2016	ClassificationGeneral Classification	—Unverified
Data classification using the Dempster-Shafer method	Sep 2, 2014	AttributeClassification	—Unverified
Data Classification With Multiprocessing	Dec 23, 2023	Classification	—Unverified
Data Cleaning Tools for Token Classification Tasks	Jun 1, 2021	Classificationnamed-entity-recognition	—Unverified
Data-dependent Generalization Bounds for Multi-class Classification	Jun 29, 2017	ClassificationGeneral Classification	—Unverified
Data-Driven Deep Supervision for Skin Lesion Classification	Sep 4, 2022	ClassificationLesion Classification	—Unverified
Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation	Oct 26, 2017	Classificationfeature selection	—Unverified
Data-driven intrinsic localized mode detection and classification in one-dimensional crystal lattice model	Oct 15, 2021	ClassificationDimensionality Reduction	—Unverified
Data-Driven Mitigation of Adversarial Text Perturbation	Feb 19, 2022	Adversarial TextClassification	—Unverified
Data-Driven Modulation and Antenna Classification of Wireless Digital Communication Signals	Nov 20, 2020	ClassificationGeneral Classification	—Unverified
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data	Sep 10, 2020	ClassificationFault Diagnosis	—Unverified
Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming	Dec 4, 2020	ClassificationGeneral Classification	—Unverified
Data-efficient Online Classification with Siamese Networks and Active Learning	Oct 4, 2020	Active LearningClassification	—Unverified
Data-Folding and Hyperspace Coding for Multi-Dimensonal Time-Series Data Imaging	Mar 10, 2022	Action RecognitionClassification	—Unverified

Show:10 25 50

← PrevPage 111 of 257Next →

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