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 1751–1800 of 12815 papers

Title	Date	Tasks	Status	Score
Evaluating model calibration in classification	Feb 19, 2019	ClassificationDecision Making	CodeCode Available	5
Experiments with Universal CEFR Classification	Apr 18, 2018	ClassificationGeneral Classification	CodeCode Available	5
Face shape classification using Inception v3	Nov 15, 2019	ClassificationGeneral Classification	CodeCode Available	5
An Attention-Gated Convolutional Neural Network for Sentence Classification	Aug 22, 2018	ClassificationGeneral Classification	CodeCode Available	5
Ensemble Wrapper Subsampling for Deep Modulation Classification	May 10, 2020	Classificationfeature selection	CodeCode Available	5
Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational Costs	Feb 22, 2017	ClassificationDiversity	CodeCode Available	5
Ensembling Finetuned Language Models for Text Classification	Oct 25, 2024	Classificationtext-classification	CodeCode Available	5
AutoML-guided Fusion of Entity and LLM-based Representations for Document Classification	Aug 19, 2024	AutoMLClassification	CodeCode Available	5
Ensemble learning for alcoholism classification using EEG signals	Jun 17, 2023	ClassificationDiagnostic	CodeCode Available	5
AugStatic - A Light-Weight Image Augmentation Library	May 1, 2022	ClassificationData Augmentation	CodeCode Available	5
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming	May 16, 2017	ClassificationDiversity	CodeCode Available	5
Texture Extraction Methods Based Ensembling Framework for Improved Classification	Jun 8, 2022	Classification	CodeCode Available	5
An Automated Ensemble Learning Framework Using Genetic Programming for Image Classification	Jul 1, 2019	ClassificationDiversity	CodeCode Available	5
Gaussian Process Classification for Variable Fidelity Data	Sep 13, 2018	ClassificationGeneral Classification	CodeCode Available	5
Dynamic Test-Time Augmentation via Differentiable Functions	Dec 9, 2022	ClassificationData Augmentation	CodeCode Available	5
Enriched BERT Embeddings for Scholarly Publication Classification	May 7, 2024	ArticlesClassification	CodeCode Available	5
A variable metric proximal stochastic gradient method: an application to classification problems	Apr 15, 2024	Binary ClassificationClassification	CodeCode Available	5
A Comparative Study on Efficiencies of Variants of Convolutional Neural Networks based on Image Classification Task	Oct 15, 2020	ClassificationGeneral Classification	CodeCode Available	5
A Variational Edge Partition Model for Supervised Graph Representation Learning	Feb 7, 2022	ClassificationGraph Representation Learning	CodeCode Available	5
Gender Bias Mitigation for Bangla Classification Tasks	Nov 16, 2024	ClassificationHate Speech Detection	CodeCode Available	5
Average Individual Fairness: Algorithms, Generalization and Experiments	May 25, 2019	ClassificationFairness	CodeCode Available	5
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic information	Nov 29, 2023	Cancer ClassificationClassification	CodeCode Available	5
Enlarged Large Margin Loss for Imbalanced Classification	Jun 15, 2023	Classificationimage-classification	CodeCode Available	5
A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification	Jul 28, 2021	Classificationdomain classification	CodeCode Available	5
Enhancing Visual Classification using Comparative Descriptors	Nov 8, 2024	Classificationzero-shot-classification	CodeCode Available	5
Enolp musk@SMM4H’22 : Leveraging Pre-trained Language Models for Stance And Premise Classification	Oct 1, 2022	ClassificationDependency Parsing	CodeCode Available	5
A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states	Jul 9, 2024	ArticlesClassification	CodeCode Available	5
A Voting Approach for Explainable Classification with Rule Learning	Nov 13, 2023	Classification	CodeCode Available	5
Enriching BERT with Knowledge Graph Embeddings for Document Classification	Sep 18, 2019	ClassificationDescriptive	CodeCode Available	5
Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection	Aug 1, 2021	ClassificationLanguage Modeling	CodeCode Available	5
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification	Jan 22, 2024	ClassificationHyperspectral Image Classification	CodeCode Available	5
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency	Jul 1, 2019	Adversarial AttackClassification	CodeCode Available	5
A multiple-instance densely-connected ConvNet for aerial scene classification	Mar 3, 2020	Aerial Scene ClassificationClassification	CodeCode Available	5
Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Data	May 12, 2024	Brain Tumor SegmentationClassification	CodeCode Available	5
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification	Aug 10, 2023	ClassificationPatent classification	CodeCode Available	5
Augmenting English Adjective Senses with Supersenses	May 1, 2014	ClassificationGeneral Classification	CodeCode Available	5
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning	Oct 23, 2024	ClassificationContrastive Learning	CodeCode Available	5
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification	Sep 28, 2019	Binary ClassificationClassification	CodeCode Available	5
Azimuth: Systematic Error Analysis for Text Classification	Dec 16, 2022	Classificationtext-classification	CodeCode Available	5
Geometric graphs from data to aid classification tasks with graph convolutional networks	May 8, 2020	ClassificationGeneral Classification	CodeCode Available	5
Augmenting Data with Mixup for Sentence Classification: An Empirical Study	May 22, 2019	ClassificationData Augmentation	CodeCode Available	5
Enhancing Counterfactual Classification via Self-Training	Dec 8, 2021	Classificationcounterfactual	CodeCode Available	5
Environmental Sound Classification on Microcontrollers using Convolutional Neural Networks	May 15, 2019	ClassificationCPU	CodeCode Available	5
Augmented Balanced Image Dataset Generator Using AugStatic Library	May 1, 2022	ClassificationData Augmentation	CodeCode Available	5
EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task	Oct 21, 2021	ClassificationFine-Grained Image Classification	CodeCode Available	5
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI	Dec 30, 2021	ClassificationExplainable artificial intelligence	CodeCode Available	5
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length	Aug 8, 2020	ClassificationDiagnostic	CodeCode Available	5
CardioSyntax: end-to-end SYNTAX score prediction -- dataset, benchmark and method	Jul 29, 2024	ClassificationPrediction	CodeCode Available	5
Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music	Nov 28, 2019	ClassificationData Augmentation	CodeCode Available	5
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification	Sep 3, 2018	ClassificationGeneral Classification	CodeCode Available	5

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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