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 4901–4950 of 12815 papers

Title	Date	Tasks	Status
Mean field variational Bayesian inference for support vector machine classification	May 13, 2013	Bayesian InferenceClassification	—Unverified
Mean Oriented Riesz Features for Micro Expression Classification	May 13, 2020	ClassificationGeneral Classification	—Unverified
Measure Inducing Classification and Regression Trees for Functional Data	Oct 30, 2020	ClassificationGeneral Classification	—Unverified
Measuring Classification Decision Certainty and Doubt	Mar 25, 2023	ClassificationDecision Making	—Unverified
Measuring Pain in Sickle Cell Disease using Clinical Text	Aug 5, 2020	BIG-bench Machine LearningBinary Classification	—Unverified
Measuring Similarity: Computationally Reproducing the Scholar's Interests	Dec 14, 2018	ArticlesClassification	—Unverified
Measuring the Data Efficiency of Deep Learning Methods	Jul 3, 2019	ClassificationDeep Learning	—Unverified
Measuring the Impact of Readability Features in Fake News Detection	May 1, 2020	ClassificationFake News Detection	—Unverified
Measuring What Counts: The case of Rumour Stance Classification	Oct 9, 2020	ClassificationGeneral Classification	—Unverified
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification	Dec 18, 2017	BIG-bench Machine LearningClassification	—Unverified
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network	Oct 6, 2024	Cancer ClassificationClassification	—Unverified
Mechanical classification of voice quality	Mar 29, 2020	Classification	—Unverified
MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultations	Oct 19, 2023	Classificationtext-classification	—Unverified
MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention	Jan 7, 2025	ClassificationFine-Grained Image Classification	—Unverified
Medical-based Deep Curriculum Learning for Improved Fracture Classification	Apr 1, 2020	ClassificationGeneral Classification	—Unverified
Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data	Sep 15, 2015	ClassificationGeneral Classification	—Unverified
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification	Nov 20, 2021	ClassificationDeep Learning	—Unverified
Medical Speech Symptoms Classification via Disentangled Representation	Mar 8, 2024	Classification	—Unverified
Medical Text Classification using Convolutional Neural Networks	Apr 22, 2017	ClassificationGeneral Classification	—Unverified
MedMimic: Physician-Inspired Multimodal Fusion for Early Diagnosis of Fever of Unknown Origin	Feb 7, 2025	ClassificationDiagnostic	—Unverified
MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification with Zoom-Free Remote Sensing Imagery	Mar 14, 2025	ClassificationScene Classification	—Unverified
Melanoma Recognition with an Ensemble of Techniques for Segmentation and a Structural Analysis for Classification	Jul 18, 2018	ClassificationGeneral Classification	—Unverified
MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification	Dec 16, 2020	ClassificationGeneral Classification	—Unverified
Melody Classification based on Performance Event Vector and BRNN	Oct 15, 2020	ClassificationGeneral Classification	—Unverified
MEMOIR: Multi-class Extreme Classification with Inexact Margin	Nov 24, 2018	ClassificationGeneral Classification	—Unverified
Memory Classifiers: Two-stage Classification for Robustness in Machine Learning	Jun 10, 2022	BIG-bench Machine LearningClassification	—Unverified
Memory Efficient Class-Incremental Learning for Image Classification	Aug 4, 2020	Classificationclass-incremental learning	—Unverified
Memory Efficient Continual Learning with Transformers	Mar 9, 2022	ClassificationContinual Learning	—Unverified
Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing	Mar 9, 2021	ClassificationGeneral Classification	—Unverified
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification	Jan 22, 2024	ClassificationGraph Attention	—Unverified
Memory-Inspired Temporal Prompt Interaction for Text-Image Classification	Jan 26, 2024	Classificationimage-classification	—Unverified
Memory Matching Networks for Genomic Sequence Classification	Feb 22, 2017	ClassificationGeneral Classification	—Unverified
Mental Disorder Classification via Temporal Representation of Text	Jun 15, 2024	ClassificationLanguage Modelling	—Unverified
Mental State Classification Using Multi-graph Features	Feb 25, 2022	ClassificationEEG	—Unverified
MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification	Aug 23, 2024	ClassificationDiversity	—Unverified
Merging Datasets for Aggressive Text Identification	Aug 1, 2018	Aggression IdentificationClassification	—Unverified
Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering	Jul 11, 2023	AnatomyClassification	—Unverified
Merging Parameter Estimation and Classification Using LASSO	May 6, 2024	Classificationparameter estimation	—Unverified
Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification	Dec 8, 2021	Change Point DetectionClassification	—Unverified
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning	Feb 12, 2024	ClassificationGraph Classification	—Unverified
Message-passing selection: Towards interpretable GNNs for graph classification	Jun 3, 2023	ClassificationGraph Classification	—Unverified
Meta Approach to Data Augmentation Optimization	Jun 14, 2020	ClassificationData Augmentation	—Unverified
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification	Dec 1, 2019	ClassificationFew-Shot Learning	—Unverified
Meta-free few-shot learning via representation learning with weight averaging	Apr 26, 2022	ClassificationFew-Shot Learning	—Unverified
MetaGAN: An Adversarial Approach to Few-Shot Learning	Dec 1, 2018	ClassificationFew-Shot Image Classification	—Unverified
Meta-Inductive Node Classification across Graphs	May 14, 2021	ClassificationGeneral Knowledge	—Unverified
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT	Mar 2, 2023	ClassificationDecision Making	—Unverified
Meta-Learner with Linear Nulling	Jun 4, 2018	ClassificationFew-Shot Learning	—Unverified
Metalearning for Feature Selection	Mar 20, 2017	Classificationfeature selection	—Unverified
Meta-Learning for Few-Shot Land Cover Classification	Apr 28, 2020	ClassificationDiversity	—Unverified

Show:10 25 50

← PrevPage 99 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	80_divisions	precision	93.2	—	Unverified
3	60_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