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 11501–11550 of 12815 papers

Title	Date	Tasks	Status	Hype
Learning Action Concept Trees and Semantic Alignment Networks from Image-Description Data	Sep 8, 2016	Action ClassificationClassification	—Unverified	0
DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification	Sep 8, 2016	ClassificationExtreme Multi-Label Classification	CodeCode Available	0
Sentiment Classification of Food Reviews	Sep 7, 2016	ClassificationGeneral Classification	—Unverified	0
Fitted Learning: Models with Awareness of their Limits	Sep 7, 2016	ClassificationGeneral Classification	CodeCode Available	0
Delaunay Triangulation on Skeleton of Flowers for Classification	Sep 6, 2016	ClassificationGeneral Classification	—Unverified	0
Animal Classification System: A Block Based Approach	Sep 6, 2016	ClassificationGeneral Classification	—Unverified	0
Features Fusion for Classification of Logos	Sep 6, 2016	ClassificationGeneral Classification	—Unverified	0
A max-cut approach to heterogeneity in cryo-electron microscopy	Sep 5, 2016	ClassificationGeneral Classification	—Unverified	0
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes	Sep 5, 2016	ClassificationGeneral Classification	—Unverified	0
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems	Sep 4, 2016	Binary ClassificationClassification	—Unverified	0
An Online Universal Classifier for Binary, Multi-class and Multi-label Classification	Sep 3, 2016	ClassificationGeneral Classification	—Unverified	0
Citation Classification for Behavioral Analysis of a Scientific Field	Sep 2, 2016	ClassificationGeneral Classification	—Unverified	0
On Horizontal and Vertical Separation in Hierarchical Text Classification	Sep 2, 2016	ClassificationGeneral Classification	—Unverified	0
Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations	Sep 1, 2016	Classification	—Unverified	0
A novel online multi-label classifier for high-speed streaming data applications	Sep 1, 2016	ClassificationGeneral Classification	—Unverified	0
Deep Learning Human Mind for Automated Visual Classification	Sep 1, 2016	ClassificationDeep Learning	CodeCode Available	0
A Novel Progressive Learning Technique for Multi-class Classification	Sep 1, 2016	ClassificationGeneral Classification	—Unverified	0
A Unified View of Multi-Label Performance Measures	Sep 1, 2016	ClassificationGeneral Classification	—Unverified	0
A High Speed Multi-label Classifier based on Extreme Learning Machines	Aug 31, 2016	ClassificationGeneral Classification	—Unverified	0
A Novel Online Real-time Classifier for Multi-label Data Streams	Aug 31, 2016	ClassificationGeneral Classification	—Unverified	0
Multi-Label Classification Method Based on Extreme Learning Machines	Aug 30, 2016	ClassificationGeneral Classification	—Unverified	0
Applying Naive Bayes Classification to Google Play Apps Categorization	Aug 30, 2016	ClassificationDocument Classification	—Unverified	0
Hard Negative Mining for Metric Learning Based Zero-Shot Classification	Aug 26, 2016	ClassificationDomain Adaptation	—Unverified	0
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification	Aug 25, 2016	Cancer ClassificationClassification	—Unverified	0
Densely Connected Convolutional Networks	Aug 25, 2016	Breast Tumour ClassificationClassification	CodeCode Available	1
Transfer Learning for Endoscopic Image Classification	Aug 24, 2016	ClassificationGeneral Classification	—Unverified	0
Survey of resampling techniques for improving classification performance in unbalanced datasets	Aug 22, 2016	ClassificationGeneral Classification	CodeCode Available	0
Analysis of Bayesian Classification based Approaches for Android Malware Detection	Aug 20, 2016	Android Malware DetectionClassification	—Unverified	0
Data Centroid Based Multi-Level Fuzzy Min-Max Neural Network	Aug 19, 2016	ClassificationGeneral Classification	—Unverified	0
Multilingual Modal Sense Classification using a Convolutional Neural Network	Aug 18, 2016	ClassificationGeneral Classification	—Unverified	0
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification	Aug 18, 2016	Aerial Scene ClassificationClassification	CodeCode Available	1
Application of multiview techniques to NHANES dataset	Aug 16, 2016	ClassificationDisease Prediction	—Unverified	0
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks	Aug 15, 2016	3D Point Cloud ClassificationClassification	CodeCode Available	0
Star-galaxy Classification Using Deep Convolutional Neural Networks	Aug 15, 2016	BIG-bench Machine LearningClassification	CodeCode Available	0
Anomaly detection and classification for streaming data using PDEs	Aug 15, 2016	Anomaly DetectionClassification	—Unverified	0
Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM	Aug 15, 2016	ClassificationGeneral Classification	—Unverified	0
Bayesian Model Selection Methods for Mutual and Symmetric k-Nearest Neighbor Classification	Aug 14, 2016	ClassificationGeneral Classification	—Unverified	0
Depth and depth-based classification with R-package ddalpha	Aug 14, 2016	ClassificationGeneral Classification	—Unverified	0
Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks	Aug 12, 2016	BIG-bench Machine LearningClassification	—Unverified	0
Recurrent Neural Networks to Correct Satellite Image Classification Maps	Aug 11, 2016	ClassificationGeneral Classification	—Unverified	0
Classification with the pot-pot plot	Aug 9, 2016	ClassificationGeneral Classification	—Unverified	0
Discriminatively Trained Latent Ordinal Model for Video Classification	Aug 8, 2016	Action RecognitionClassification	—Unverified	0
Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification	Aug 5, 2016	Action RecognitionClassification	—Unverified	0
A New Android Malware Detection Approach Using Bayesian Classification	Aug 2, 2016	Android Malware DetectionClassification	—Unverified	0
A study of the effect of JPG compression on adversarial images	Aug 2, 2016	ClassificationGeneral Classification	—Unverified	0
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations	Aug 2, 2016	ClassificationGeneral Classification	—Unverified	0
Spatio-temporal Co-Occurrence Characterizations for Human Action Classification	Aug 2, 2016	Action ClassificationClassification	—Unverified	0
Unsupervised Document Classification with Informed Topic Models	Aug 1, 2016	Active LearningClassification	—Unverified	0
Scrutable Feature Sets for Stance Classification	Aug 1, 2016	Argument MiningClassification	—Unverified	0
Detecting Visually Relevant Sentences for Fine-Grained Classification	Aug 1, 2016	ClassificationFine-Grained Image 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	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