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 8901–8950 of 12815 papers

Title	Date	Tasks	Status
Improving K-Nearest Neighbor Efficacy for Farsi Text Classification	May 1, 2012	ArticlesClassification	—Unverified
Improving localization-based approaches for breast cancer screening exam classification	Aug 1, 2019	ClassificationGeneral Classification	—Unverified
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling	Jul 1, 2020	Binary ClassificationClassification	—Unverified
Improving machine classification using human uncertainty measurements	May 1, 2019	ClassificationData Augmentation	—Unverified
Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding	Dec 5, 2018	ClassificationClustering	—Unverified
Improving Medical Waste Classification with Hybrid Capsule Networks	Mar 13, 2025	Classification	—Unverified
Improving Minor Opinion Polarity Classification with Named Entity Analysis (L'apport des Entit\'es Nomm\'ees pour la classification des opinions minoritaires) [in French]	Jun 1, 2013	ClassificationGeneral Classification	—Unverified
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation	May 1, 2022	ClassificationData Augmentation	—Unverified
Improving Multi-class Classifier Using Likelihood Ratio Estimation with Regularization	Oct 28, 2022	Classificationimbalanced classification	—Unverified
Improving Multi-Document Summarization via Text Classification	Nov 28, 2016	ClassificationDocument Summarization	—Unverified
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network	Oct 1, 2018	ClassificationEmotion Classification	—Unverified
Improving Neural-based Classification with Logical Background Knowledge	Feb 20, 2024	ClassificationMulti-Label Classification	—Unverified
Improving Neural Political Statement Classification with Class Hierarchical Information	May 1, 2022	Classification	—Unverified
Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation	May 6, 2025	Binary ClassificationClassification	—Unverified
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes	Nov 1, 2020	ClassificationGeneral Classification	—Unverified
Improving Patent Mining and Relevance Classification using Transformers	May 9, 2021	ClassificationGeneral Classification	—Unverified
Improving performance and inference on audio classification tasks using capsule networks	Feb 13, 2019	Audio ClassificationClassification	—Unverified
Improving Performance of a Group of Classification Algorithms Using Resampling and Feature Selection	Mar 8, 2014	Classificationfeature selection	—Unverified
Improving performance of heart rate time series classification by grouping subjects	Nov 22, 2023	ClassificationGeneral Classification	—Unverified
Improving Persian Document Classification Using Semantic Relations between Words	Dec 28, 2014	ClassificationDocument Classification	—Unverified
Improving plant disease classification by adaptive minimal ensembling	Sep 8, 2022	BenchmarkingClassification	—Unverified
Improving Probabilistic Models in Text Classification via Active Learning	Feb 5, 2022	Active LearningArticles	—Unverified
Improving Proximity Classification for Contact Tracing using a Multi-channel Approach	Jan 25, 2022	Classification	—Unverified
Improving Question Classification by Feature Extraction and Selection	Jan 1, 2016	Classificationfeature selection	—Unverified
Improving Relation Classification by Entity Pair Graph	Nov 17, 2019	ClassificationGeneral Classification	—Unverified
Improving Requirements Classification with SMOTE-Tomek Preprocessing	Jan 11, 2025	Classification	—Unverified
Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning-Based Audio Enhancement: Algorithm Development and Validation	Jul 18, 2024	ClassificationData Augmentation	—Unverified
Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification	Apr 13, 2020	ClassificationGeneral Classification	—Unverified
Improving Scientific Relation Classification with Task Specific Supersense	Dec 1, 2018	ClassificationRelation	—Unverified
Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learning	Oct 1, 2020	ClassificationData Augmentation	—Unverified
Improving Sentiment Classification Using 0-Shot Generated Labels for Custom Transformer Embeddings	Sep 29, 2021	ClassificationSentiment Analysis	—Unverified
Improving Short Text Classification With Augmented Data Using GPT-3	May 23, 2022	ClassificationLanguage Modeling	—Unverified
Improving Skin Condition Classification with a Question Answering Model	Nov 15, 2018	ClassificationGeneral Classification	—Unverified
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering	May 30, 2024	ClassificationData Augmentation	—Unverified
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis	Jul 4, 2016	ClassificationDimensionality Reduction	—Unverified
Improving Text Relationship Modeling with Artificial Data	Oct 27, 2020	BIG-bench Machine LearningClassification	—Unverified
Improving Texture Categorization with Biologically Inspired Filtering	Nov 30, 2013	ClassificationGeneral Classification	—Unverified
Improving the Accuracy of Learning Example Weights for Imbalance Classification	Sep 29, 2021	Classificationimage-classification	—Unverified
Improving the Classification of Rare Chords with Unlabeled Data	Dec 13, 2020	Chord RecognitionClassification	—Unverified
Improving the Deployment of Recycling Classification through Efficient Hyper-Parameter Analysis	Oct 21, 2021	ClassificationData Augmentation	—Unverified
Improving the Environmental Perception of Autonomous Vehicles using Deep Learning-based Audio Classification	Sep 9, 2022	Audio ClassificationAutonomous Vehicles	—Unverified
Improving the Intent Classification accuracy in Noisy Environment	Mar 12, 2023	Automatic Speech RecognitionClassification	—Unverified
Improving the methods of email classification based on words ontology	Oct 22, 2013	ClassificationGeneral Classification	—Unverified
Anchored-STFT and GNAA: An extension of STFT in conjunction with an adversarial data augmentation technique for the decoding of neural signals	Nov 30, 2020	ClassificationData Augmentation	—Unverified
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers	Sep 28, 2021	ClassificationTime Series	—Unverified
Improving Topic Classification for Highly Inflective Languages	Dec 1, 2012	ClassificationGeneral Classification	—Unverified
Improving Trip Mode Choice Modeling Using Ensemble Synthesizer (ENSY)	Jul 1, 2024	ClassificationData Augmentation	—Unverified
Improving Universal Sound Separation Using Sound Classification	Nov 18, 2019	Audio Source SeparationClassification	—Unverified
Improving Scene Graph Classification by Exploiting Knowledge from Texts	Feb 9, 2021	ClassificationGeneral Classification	—Unverified
Improving weather radar by fusion and classification	Apr 25, 2014	ClassificationGeneral Classification	—Unverified

Show:10 25 50

← PrevPage 179 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