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 11551–11600 of 12815 papers

Title	Date	Tasks	Status
Depth and depth-based classification with R-package ddalpha	Aug 14, 2016	ClassificationGeneral Classification	—Unverified
Bayesian Model Selection Methods for Mutual and Symmetric k-Nearest Neighbor Classification	Aug 14, 2016	ClassificationGeneral Classification	—Unverified
Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks	Aug 12, 2016	BIG-bench Machine LearningClassification	—Unverified
Recurrent Neural Networks to Correct Satellite Image Classification Maps	Aug 11, 2016	ClassificationGeneral Classification	—Unverified
Classification with the pot-pot plot	Aug 9, 2016	ClassificationGeneral Classification	—Unverified
Discriminatively Trained Latent Ordinal Model for Video Classification	Aug 8, 2016	Action RecognitionClassification	—Unverified
Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification	Aug 5, 2016	Action RecognitionClassification	—Unverified
A study of the effect of JPG compression on adversarial images	Aug 2, 2016	ClassificationGeneral Classification	—Unverified
A New Android Malware Detection Approach Using Bayesian Classification	Aug 2, 2016	Android Malware DetectionClassification	—Unverified
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations	Aug 2, 2016	ClassificationGeneral Classification	—Unverified
Spatio-temporal Co-Occurrence Characterizations for Human Action Classification	Aug 2, 2016	Action ClassificationClassification	—Unverified
Situation entity types: automatic classification of clause-level aspect	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Relation Classification via Multi-Level Attention CNNs	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Scalable Semi-Supervised Query Classification Using Matrix Sketching	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Supervised Classification of RADARSAT-2 Polarimetric Data for Different Land Features	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Scrutable Feature Sets for Stance Classification	Aug 1, 2016	Argument MiningClassification	—Unverified
Unsupervised Document Classification with Informed Topic Models	Aug 1, 2016	Active LearningClassification	—Unverified
Bidirectional Recurrent Convolutional Neural Network for Relation Classification	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Discourse Relation Sense Classification with Two-Step Classifiers	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Discriminative Deep Random Walk for Network Classification	Aug 1, 2016	Anomaly DetectionClassification	—Unverified
Genre classification for a corpus of academic webpages	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Idiom Token Classification using Sentential Distributed Semantics	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Discourse Sense Classification from Scratch using Focused RNNs	Aug 1, 2016	ChunkingClassification	CodeCode Available
Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning	Aug 1, 2016	ClassificationCross-Lingual Sentiment Classification	—Unverified
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Modeling Social Norms Evolution for Personalized Sentiment Classification	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Discourse Relation Sense Classification Systems for CoNLL-2016 Shared Task	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification	Aug 1, 2016	ClassificationGeneral Classification	—Unverified
Detecting Visually Relevant Sentences for Fine-Grained Classification	Aug 1, 2016	ClassificationFine-Grained Image Classification	—Unverified
Deep FisherNet for Object Classification	Jul 31, 2016	ClassificationComputational Efficiency	—Unverified
Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool	Jul 29, 2016	AutoMLBIG-bench Machine Learning	CodeCode Available
Randomised Algorithm for Feature Selection and Classification	Jul 28, 2016	Classificationfeature selection	—Unverified
N-opcode Analysis for Android Malware Classification and Categorization	Jul 27, 2016	ClassificationGeneral Classification	—Unverified
A Multiple Kernel Learning Approach for Human Behavioral Task Classification using STN-LFP Signal	Jul 27, 2016	ClassificationGeneral Classification	—Unverified
A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps	Jul 27, 2016	ClassificationGeneral Classification	—Unverified
A probabilistic patch based image representation using Conditional Random Field model for image classification	Jul 22, 2016	ClassificationFace Recognition	—Unverified
CGMOS: Certainty Guided Minority OverSampling	Jul 21, 2016	ClassificationGeneral Classification	CodeCode Available
Explaining Classification Models Built on High-Dimensional Sparse Data	Jul 21, 2016	ClassificationGeneral Classification	—Unverified
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation	Jul 21, 2016	ClassificationClustering	—Unverified
Optimising Rule-Based Classification in Temporal Data	Jul 20, 2016	ClassificationGeneral Classification	—Unverified
FusionNet: 3D Object Classification Using Multiple Data Representations	Jul 19, 2016	3D Object Classification3D Object Recognition	—Unverified
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks	Jul 19, 2016	ClassificationGeneral Classification	—Unverified
Information-theoretical label embeddings for large-scale image classification	Jul 19, 2016	ClassificationGeneral Classification	—Unverified
Language classification from bilingual word embedding graphs	Jul 18, 2016	ClassificationGeneral Classification	—Unverified
Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?	Jul 18, 2016	BenchmarkingClassification	—Unverified
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks	Jul 17, 2016	ClassificationDeep Learning	—Unverified
Spatial Context based Angular Information Preserving Projection for Hyperspectral Image Classification	Jul 15, 2016	ClassificationDimensionality Reduction	—Unverified
San Francisco Crime Classification	Jul 13, 2016	ClassificationCrime Prediction	CodeCode Available
Feature Extraction and Automated Classification of Heartbeats by Machine Learning	Jul 13, 2016	Arrhythmia DetectionBIG-bench Machine Learning	—Unverified
Hierarchical learning for DNN-based acoustic scene classification	Jul 13, 2016	Acoustic Scene ClassificationClassification	—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