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 5101–5150 of 12815 papers

Title	Date	Tasks	Status
Use Cases for Time-Frequency Image Representations and Deep Learning Techniques for Improved Signal Classification	Feb 22, 2023	ClassificationDeep Learning	—Unverified
Useful Blunders: Can Automated Speech Recognition Errors Improve Downstream Dementia Classification?	Jan 10, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping	Jul 11, 2020	ClassificationGeneral Classification	—Unverified
User Classification with Multiple Textual Perspectives	Dec 1, 2016	Age ClassificationClassification	—Unverified
User Edits Classification Using Document Revision Histories	Apr 1, 2012	ClassificationGeneral Classification	—Unverified
User Type Classification of Tweets with Implications for Event Recognition	Jun 1, 2014	ClassificationGeneral Classification	—Unverified
USF: Chunking for Aspect-term Identification \& Polarity Classification	Aug 1, 2014	Aspect-Based Sentiment Analysis (ABSA)Chunking	—Unverified
Using a Classifier Ensemble for Proactive Quality Monitoring and Control: the impact of the choice of classifiers types, selection criterion, and fusion process	Apr 5, 2018	ClassificationGeneral Classification	—Unverified
Using Author Embeddings to Improve Tweet Stance Classification	Nov 1, 2018	ClassificationGeneral Classification	—Unverified
Using Ballistocardiography for Sleep Stage Classification	Feb 2, 2022	ClassificationHeart Rate Variability	—Unverified
Using Capsule Networks to Classify Digitally Modulated Signals with Raw I/Q Data	May 19, 2022	Classification	—Unverified
Using CNNs for AD classification based on spatial correlation of BOLD signals during the observation	Apr 21, 2021	ClassificationGeneral Classification	—Unverified
Using Company Specific Headlines and Convolutional Neural Networks to Predict Stock Fluctuations	Jun 22, 2020	ClassificationGeneral Classification	—Unverified
Using Context Information for Dialog Act Classification in DNN Framework	Sep 1, 2017	ClassificationDialog Act Classification	—Unverified
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification	Oct 7, 2021	ClassificationContrastive Learning	—Unverified
Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge	Mar 7, 2017	ClassificationDiagnostic	—Unverified
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour	May 1, 2020	ClassificationGeneral Classification	—Unverified
Using Experience Classification for Training Non-Markovian Tasks	Oct 18, 2023	Autonomous DrivingClassification	—Unverified
Using General Large Language Models to Classify Mathematical Documents	Jun 11, 2024	ArticlesClassification	—Unverified
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning	Mar 5, 2017	Bayesian OptimizationClassification	—Unverified
Using Hankel Matrices for Dynamics-based Facial Emotion Recognition and Pain Detection	Jun 16, 2015	ClassificationEmotion Recognition	—Unverified
Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification	Aug 1, 2021	Classification	—Unverified
Using Language Models on Low-end Hardware	Jul 17, 2021	ClassificationLanguage Modeling	—Unverified
Using Language Models on Low-end Hardware	May 3, 2023	ClassificationLanguage Modeling	—Unverified
Using Listeners’ Interpretations in Topic Classification of Song Lyrics	Nov 1, 2021	ClassificationTopic Classification	—Unverified
Using Machine Learning to Automate Mammogram Images Analysis	Dec 6, 2020	BIG-bench Machine LearningClassification	—Unverified
Using Machine Translation to Augment Multilingual Classification	May 9, 2024	ClassificationImage Captioning	—Unverified
Using Metamorphic Relations to Verify and Enhance Artcode Classification	Aug 5, 2021	Classificationimage-classification	—Unverified
Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification	Dec 3, 2018	ClassificationGeneral Classification	—Unverified
Using Person Embedding to Enrich Features and Data Augmentation for Classification	Jun 30, 2022	BIG-bench Machine LearningClassification	—Unverified
Using Self-Organizing Maps for Sentiment Analysis	Sep 16, 2013	ClassificationGeneral Classification	—Unverified
Using Social Media Images for Building Function Classification	Feb 15, 2022	Classification	—Unverified
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach	Mar 9, 2025	ClassificationNode Classification	—Unverified
Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research	Oct 16, 2019	ClassificationGeneral Classification	—Unverified
Using the Past Knowledge to Improve Sentiment Classification	Nov 1, 2020	ClassificationKnowledge Distillation	—Unverified
Using tournaments to calculate AUROC for zero-shot classification with LLMs	Feb 20, 2025	Binary ClassificationClassification	—Unverified
Using unmarked contexts in nominal lexical semantic classification	Aug 1, 2014	ClassificationGeneral Classification	—Unverified
Using Word Embeddings in Twitter Election Classification	Jun 22, 2016	ArticlesClassification	—Unverified
UTFPR at WMT 2018: Minimalistic Supervised Corpora Filtering for Machine Translation	Oct 1, 2018	Binary ClassificationClassification	—Unverified
Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research	May 17, 2017	ArticlesClassification	—Unverified
Utility-Theoretic Ranking for Semi-Automated Text Classification	Mar 2, 2015	ClassificationGeneral Classification	—Unverified
Utilizing coarse-grained data in low-data settings for event extraction	May 11, 2022	Binary ClassificationClassification	—Unverified
Utilizing Imbalanced Data and Classification Cost Matrix to Predict Movie Preferences	Dec 4, 2018	ClassificationGeneral Classification	—Unverified
Utilizing Machine Learning for Signal Classification and Noise Reduction in Amateur Radio	Feb 15, 2024	Classification	—Unverified
Utilizing Probase in Open Directory Project-based Text Classification	May 14, 2018	ClassificationGeneral Classification	—Unverified
Utilizing Visual Forms of Japanese Characters for Neural Review Classification	Nov 1, 2017	ClassificationGeneral Classification	—Unverified
Utilizing Weak Supervision To Generate Indonesian Conservation Dataset	Oct 17, 2023	ClassificationMulti-class Classification	—Unverified
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders	Aug 1, 2017	Automatic Speech Recognition (ASR)Classification	—Unverified
UTTime: Temporal Relation Classification using Deep Syntactic Features	Jun 1, 2013	ClassificationDocument Summarization	—Unverified
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets	Jun 1, 2018	ClassificationGeneral Classification	—Unverified

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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