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

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Showing 12401–12450 of 12815 papers

Title	Date	Tasks	Status
Collaborative Representation based Classification for Face Recognition	Apr 11, 2012	ClassificationFace Recognition	—Unverified
Collaborative Representation Classification Ensemble for Face Recognition	Jul 29, 2015	ClassificationFace Recognition	—Unverified
Collaborative Representation for Classification, Sparse or Non-sparse?	Mar 6, 2014	ClassificationDictionary Learning	—Unverified
Collage Inference: Using Coded Redundancy for Low Variance Distributed Image Classification	Apr 27, 2019	ClassificationCloud Computing	—Unverified
Collective Classification for Fine-grained Information Status	Jul 1, 2012	ClassificationCoreference Resolution	—Unverified
Collective Classification of Textual Documents by Guided Self-Organization in T-Cell Cross-Regulation Dynamics	Feb 4, 2011	ArticlesBinary Classification	—Unverified
Collective Document Classification with Implicit Inter-document Semantic Relationships	Jun 1, 2015	ClassificationDocument Classification	—Unverified
Collective Sentiment Classification Based on User Leniency and Product Popularity	Nov 1, 2013	ClassificationGeneral Classification	—Unverified
Collective Stance Classification of Posts in Online Debate Forums	Jun 1, 2014	ClassificationGeneral Classification	—Unverified
Collective Vertex Classification Using Recursive Neural Network	Jan 24, 2017	ClassificationGeneral Classification	—Unverified
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations	Apr 22, 2021	ClassificationGeneral Classification	—Unverified
Color and Shape Content Based Image Classification using RBF Network and PSO Technique: A Survey	Nov 27, 2013	ClassificationGeneral Classification	—Unverified
Color-based classification of EEG Signals for people with the severe locomotive disorder	Apr 12, 2023	ClassificationEEG	—Unverified
Color Image Classification via Quaternion Principal Component Analysis Network	Mar 5, 2015	ClassificationGeneral Classification	—Unverified
Coloring black boxes: visualization of neural network decisions	Feb 23, 2018	ClassificationGeneral Classification	—Unverified
ColorUNet: A convolutional classification approach to colorization	Nov 7, 2018	ClassificationColorization	—Unverified
Colour augmentation for improved semi-supervised semantic segmentation	Oct 9, 2021	ClassificationSegmentation	—Unverified
Combating Noisy Labels in Long-Tailed Image Classification	Sep 1, 2022	Classificationimage-classification	—Unverified
Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images	Apr 18, 2013	ClassificationGeneral Classification	—Unverified
Combination of Raman spectroscopy and chemometrics: A review of recent studies published in the Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy Journal	Oct 18, 2022	Classificationregression	—Unverified
Combine Convolution with Recurrent Networks for Text Classification	Jun 29, 2020	ClassificationGeneral Classification	—Unverified
Combined Person Classification with Airborne Optical Sectioning	Jun 18, 2021	Classification	—Unverified
Combined Scaling for Zero-shot Transfer Learning	Nov 19, 2021	ClassificationContrastive Learning	—Unverified
Combining Crowd and Machines for Multi-predicate Item Screening	Apr 1, 2019	ClassificationGeneral Classification	—Unverified
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification	Mar 20, 2023	Aerial Scene ClassificationClassification	—Unverified
Combining dependency information and generalization in a pattern-based approach to the classification of lexical-semantic relation instances	May 1, 2014	ClassificationGeneral Classification	—Unverified
Combining Dependency Parser and GNN models for Text Classification	Sep 1, 2020	Classificationtext-classification	—Unverified
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification	Oct 31, 2020	ClassificationCross-Domain Few-Shot	—Unverified
Combining EEG and NLP Features for Predicting Students' Lecture Comprehension using Ensemble Classification	Nov 18, 2023	ClassificationEEG	—Unverified
Combining Euclidean Alignment and Data Augmentation for BCI decoding	May 23, 2024	ClassificationData Augmentation	—Unverified
Combining Generative and Discriminative Neural Networks for Sleep Stages Classification	Oct 6, 2016	ClassificationEEG	—Unverified
Combining Image Features and Patient Metadata to Enhance Transfer Learning	Oct 8, 2021	ClassificationData Augmentation	—Unverified
Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising	Nov 1, 2017	ClassificationGeneral Classification	—Unverified
Combining Multiple Algorithms in Classifier Ensembles using Generalized Mixture Functions	Jun 5, 2018	ClassificationGeneral Classification	—Unverified
Combining multiple resolutions into hierarchical representations for kernel-based image classification	Jul 9, 2016	ClassificationGeneral Classification	—Unverified
Combining multiplexed functional data to improve variant classification	Mar 24, 2025	Classification	—Unverified
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers	Jun 12, 2023	Classification	—Unverified
Combining Recurrent and Convolutional Neural Networks for Relation Classification	May 24, 2016	ClassificationGeneral Classification	—Unverified
Combining resources for MWE-token classification	Jul 1, 2012	ClassificationGeneral Classification	—Unverified
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification	Oct 15, 2020	ClassificationECG Classification	—Unverified
Combining Shallow and Deep Representations for Text-Pair Classification	Dec 1, 2021	ClassificationDecoder	—Unverified
Combining shape and contour features to improve tool wear monitoring in milling processes	Feb 7, 2024	Binary ClassificationClassification	—Unverified
Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias	Jun 20, 2018	ClassificationGeneral Classification	—Unverified
Combining Varied Learners for Binary Classification using Stacked Generalization	Feb 17, 2022	Binary ClassificationClassification	—Unverified
Combining Weakly and Webly Supervised Learning for Classifying Food Images	Dec 23, 2017	ClassificationGeneral Classification	—Unverified
Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text	Aug 1, 2017	ClassificationGeneral Classification	—Unverified
Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification	Jun 1, 2014	ClassificationGeneral Classification	—Unverified
ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Task at ICON-2021	Dec 1, 2021	Aggression IdentificationClassification	—Unverified
Comment on "Ensemble Projection for Semi-supervised Image Classification"	Aug 29, 2014	ClassificationGeneral Classification	—Unverified
Comment on "On the Extraction of Purely Motor EEG Neural Correlates during an Upper Limb Visuomotor Task"	Jul 22, 2022	ClassificationEEG	—Unverified

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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