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 11801–11850 of 12815 papers

Title	Date	Tasks	Status	Hype
Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis	Jan 26, 2016	ClassificationGeneral Classification	—Unverified	0
Semantic Place Descriptors for Classification and Map Discovery	Jan 22, 2016	ClassificationDensity Estimation	—Unverified	0
Topological descriptors for 3D surface analysis	Jan 22, 2016	ClassificationGeneral Classification	—Unverified	0
Domain based classification	Jan 18, 2016	ClassificationGeneral Classification	—Unverified	0
Compositional Model based Fisher Vector Coding for Image Classification	Jan 16, 2016	ClassificationGeneral Classification	CodeCode Available	0
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation	Jan 14, 2016	ClassificationData Augmentation	—Unverified	0
Predicting the Effectiveness of Self-Training: Application to Sentiment Classification	Jan 13, 2016	ClassificationGeneral Classification	—Unverified	0
Learning Subclass Representations for Visually-varied Image Classification	Jan 12, 2016	ClassificationGeneral Classification	—Unverified	0
Using Filter Banks in Convolutional Neural Networks for Texture Classification	Jan 12, 2016	ClassificationGeneral Classification	CodeCode Available	0
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs	Jan 9, 2016	Action ClassificationAction Localization	CodeCode Available	0
Numerical Coding of Nominal Data	Jan 8, 2016	AttributeClassification	CodeCode Available	0
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification	Jan 8, 2016	ClassificationGeneral Classification	—Unverified	0
LLSF - Learning Label Specific Features for Multi-Label Classifcation	Jan 7, 2016	Binary ClassificationClassification	CodeCode Available	0
Ensemble Methods of Classification for Power Systems Security Assessment	Jan 7, 2016	ClassificationDecision Making	—Unverified	0
A pragmatic approach to multi-class classification	Jan 6, 2016	ClassificationGeneral Classification	—Unverified	0
A simple technique for improving multi-class classification with neural networks	Jan 6, 2016	ClassificationGeneral Classification	—Unverified	0
Image-based Vehicle Analysis using Deep Neural Network: A Systematic Study	Jan 6, 2016	ClassificationGeneral Classification	—Unverified	0
Multimodal Classification of Events in Social Media	Jan 4, 2016	ClassificationGeneral Classification	—Unverified	0
A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours	Jan 2, 2016	ClassificationGeneral Classification	—Unverified	0
Folktale similarity based on ontological abstraction	Jan 1, 2016	Classification	—Unverified	0
A Taxonomic Classification of WordNet Polysemy Types	Jan 1, 2016	Classification	—Unverified	0
Towards a WordNet based Classification of Actors in Folktales	Jan 1, 2016	ClassificationTranslation	—Unverified	0
Improving Question Classification by Feature Extraction and Selection	Jan 1, 2016	Classificationfeature selection	—Unverified	0
ExploreKit: Automatic Feature Generation and Selection	Jan 1, 2016	Automated Feature EngineeringBIG-bench Machine Learning	CodeCode Available	0
Understanding Satirical Articles Using Common-Sense	Jan 1, 2016	ArticlesClassification	—Unverified	0
Robust Semi-supervised Least Squares Classification by Implicit Constraints	Dec 27, 2015	ClassificationGeneral Classification	—Unverified	0
The Utility of Abstaining in Binary Classification	Dec 26, 2015	Active LearningBinary Classification	—Unverified	0
Part-Stacked CNN for Fine-Grained Visual Categorization	Dec 26, 2015	ClassificationFine-Grained Image Classification	—Unverified	0
Texture measures combination for improved meningioma classification of histopathological images	Dec 25, 2015	ClassificationGeneral Classification	—Unverified	0
A Multiresolution Clinical Decision Support System Based on Fractal Model Design for Classification of Histological Brain Tumours	Dec 25, 2015	ClassificationDiagnostic	—Unverified	0
Inducing Generalized Multi-Label Rules with Learning Classifier Systems	Dec 25, 2015	ClassificationGeneral Classification	CodeCode Available	0
Convolutional Architecture Exploration for Action Recognition and Image Classification	Dec 23, 2015	Action RecognitionClassification	—Unverified	0
Cost-based Feature Transfer for Vehicle Occupant Classification	Dec 22, 2015	ClassificationGeneral Classification	—Unverified	0
Feature Selection for Classification under Anonymity Constraint	Dec 22, 2015	ClassificationDiversity	—Unverified	0
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis	Dec 21, 2015	ClassificationGeneral Classification	—Unverified	0
Deep Learning for Surface Material Classification Using Haptic And Visual Information	Dec 21, 2015	ClassificationDeep Learning	—Unverified	0
Predicting the Sentiment Polarity and Rating of Yelp Reviews	Dec 20, 2015	Classificationregression	CodeCode Available	0
Kernel principal component analysis network for image classification	Dec 20, 2015	ClassificationFace Recognition	—Unverified	0
Spherical Distance Metrics Applied to Protein Structure Classification	Dec 18, 2015	ClassificationClustering	—Unverified	0
Multiclass Classification of Cervical Cancer Tissues by Hidden Markov Model	Dec 18, 2015	ClassificationGeneral Classification	—Unverified	0
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers	Dec 17, 2015	ClassificationEEG	—Unverified	0
Towards Evaluation of Cultural-scale Claims in Light of Topic Model Sampling Effects	Dec 15, 2015	ClassificationGeneral Classification	—Unverified	0
Semantic-enriched Visual Vocabulary Construction in a Weakly Supervised Context	Dec 14, 2015	ClassificationGeneral Classification	—Unverified	0
Automatic Incident Classification for Big Traffic Data by Adaptive Boosting SVM	Dec 14, 2015	ClassificationGeneral Classification	—Unverified	0
Stack Exchange Tagger	Dec 13, 2015	ClassificationGeneral Classification	—Unverified	0
Efficient Deep Feature Learning and Extraction via StochasticNets	Dec 11, 2015	ClassificationGeneral Classification	—Unverified	0
Deep Residual Learning for Image Recognition	Dec 10, 2015	Classification	CodeCode Available	4
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition	Dec 8, 2015	Action RecognitionClassification	CodeCode Available	0
Fine-grained Image Classification by Exploring Bipartite-Graph Labels	Dec 8, 2015	ClassificationFine-Grained Image Classification	—Unverified	0
Prototypical Priors: From Improving Classification to Zero-Shot Learning	Dec 3, 2015	ClassificationGeneral Classification	—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