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 10651–10700 of 12815 papers

Title	Date	Tasks	Status	Hype
Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data	Dec 14, 2017	ClassificationGeneral Classification	—Unverified	0
Exponential convergence of testing error for stochastic gradient methods	Dec 13, 2017	Binary ClassificationClassification	—Unverified	0
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification	Dec 13, 2017	Action ClassificationAction Detection	CodeCode Available	0
Empirical Evaluation of Kernel PCA Approximation Methods in Classification Tasks	Dec 12, 2017	ClassificationDimensionality Reduction	—Unverified	0
3D Object Classification via Spherical Projections	Dec 12, 2017	3D Classification3D Object Classification	—Unverified	0
Identifying the Mislabeled Training Samples of ECG Signals using Machine Learning	Dec 11, 2017	BIG-bench Machine LearningClassification	—Unverified	0
Blind Multiclass Ensemble Classification	Dec 8, 2017	ClassificationEnsemble Learning	—Unverified	0
Basic Thresholding Classification	Dec 8, 2017	ClassificationFace Identification	—Unverified	0
Named Entity Sequence Classification	Dec 6, 2017	Binary ClassificationClassification	—Unverified	0
Single-trial P300 Classification using PCA with LDA, QDA and Neural Networks	Dec 6, 2017	ClassificationEEG	—Unverified	0
R-FCN-3000 at 30fps: Decoupling Detection and Classification	Dec 5, 2017	ClassificationGeneral Classification	CodeCode Available	2
What's in my closet?: Image classification using fuzzy logic	Dec 5, 2017	ClassificationGeneral Classification	—Unverified	0
Successive Embedding and Classification Loss for Aerial Image Classification	Dec 5, 2017	ClassificationClustering	CodeCode Available	0
Object Classification using Ensemble of Local and Deep Features	Dec 4, 2017	ClassificationGeneral Classification	—Unverified	0
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures	Dec 4, 2017	Audio ClassificationClassification	—Unverified	0
Stochastic Maximum Likelihood Optimization via Hypernetworks	Dec 4, 2017	ClassificationGeneral Classification	—Unverified	0
Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões	Dec 3, 2017	ClassificationContent-Based Image Retrieval	—Unverified	0
Sentiment Classification using Images and Label Embeddings	Dec 3, 2017	ClassificationGeneral Classification	—Unverified	0
Avaliação da doença de Alzheimer pela análise multiespectral de imagens DW-MR por redes RBF como alternativa aos mapas ADC	Dec 3, 2017	ClassificationGeneral Classification	—Unverified	0
Fuzzy-Based Dialectical Non-Supervised Image Classification and Clustering	Dec 3, 2017	ClassificationClustering	—Unverified	0
Evaluation of Alzheimer's Disease by Analysis of MR Images using Multilayer Perceptrons and Kohonen SOM Classifiers as an Alternative to the ADC Maps	Dec 3, 2017	ClassificationGeneral Classification	—Unverified	0
Tensor Train Neighborhood Preserving Embedding	Dec 3, 2017	ClassificationDimensionality Reduction	—Unverified	0
Where Classification Fails, Interpretation Rises	Dec 2, 2017	ClassificationGeneral Classification	—Unverified	0
Learning Sparse Adversarial Dictionaries For Multi-Class Audio Classification	Dec 2, 2017	Audio ClassificationAudio Denoising	—Unverified	0
An Ensemble of Deep Convolutional Neural Networks for Alzheimer's Disease Detection and Classification	Dec 2, 2017	Alzheimer's Disease DetectionClassification	—Unverified	0
Open Set Text Classification Using CNNs	Dec 1, 2017	ClassificationGeneral Classification	—Unverified	0
Leveraging Linguistic Resources for Improving Neural Text Classification	Dec 1, 2017	ClassificationDocument Classification	—Unverified	0
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification	Dec 1, 2017	ClassificationGeneral Classification	CodeCode Available	0
Group Sparse Additive Machine	Dec 1, 2017	Additive modelsClassification	—Unverified	0
ADAPT at IJCNLP-2017 Task 4: A Multinomial Naive Bayes Classification Approach for Customer Feedback Analysis task	Dec 1, 2017	ClassificationGeneral Classification	—Unverified	0
JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering System	Dec 1, 2017	Answer SelectionClassification	—Unverified	0
YNU-HPCC at IJCNLP-2017 Task 4: Attention-based Bi-directional GRU Model for Customer Feedback Analysis Task of English	Dec 1, 2017	ClassificationGeneral Classification	—Unverified	0
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning	Dec 1, 2017	ClassificationClustering	—Unverified	0
Deep Neural Network Architectures for Modulation Classification	Dec 1, 2017	ClassificationGeneral Classification	CodeCode Available	0
Single-epoch supernova classification with deep convolutional neural networks	Nov 30, 2017	AstronomyClassification	—Unverified	0
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks	Nov 30, 2017	ClassificationGeneral Classification	CodeCode Available	0
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification	Nov 30, 2017	ClassificationGeneral Classification	—Unverified	0
Multivariate Time Series Classification with WEASEL+MUSE	Nov 30, 2017	Classificationfeature selection	CodeCode Available	0
Technical Report: A New Decision-Theory-Based Framework for Echo Canceler Control	Nov 29, 2017	Classification	—Unverified	0
Towards Alzheimer's Disease Classification through Transfer Learning	Nov 29, 2017	ClassificationGeneral Classification	CodeCode Available	0
Modeling Information Flow Through Deep Neural Networks	Nov 29, 2017	ClassificationGeneral Classification	—Unverified	0
Classification of entities via their descriptive sentences	Nov 28, 2017	ClassificationClustering	—Unverified	0
QCBA: Improving Rule Classifiers Learned from Quantitative Data by Recovering Information Lost by Discretisation	Nov 28, 2017	Anomaly DetectionClassification	CodeCode Available	0
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification	Nov 28, 2017	ClassificationGeneral Classification	—Unverified	0
Between-class Learning for Image Classification	Nov 28, 2017	ClassificationGeneral Classification	CodeCode Available	0
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification	Nov 27, 2017	ClassificationGeneral Classification	CodeCode Available	0
Lexical-semantic resources: yet powerful resources for automatic personality classification	Nov 27, 2017	ClassificationGeneral Classification	—Unverified	0
OSTSC: Over Sampling for Time Series Classification in R	Nov 27, 2017	ClassificationGeneral Classification	—Unverified	0
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation	Nov 27, 2017	ClassificationGeneral Classification	—Unverified	0
Local Jet Pattern: A Robust Descriptor for Texture Classification	Nov 26, 2017	ClassificationGeneral 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	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