SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5101–5150 of 14581 papers

TitleStatusHype
Classification of Smartphone Users Using Internet Traffic—0
Classification of South African languages using text and acoustic based methods: A case of six selected languages—0
Classification of Spam Emails through Hierarchical Clustering and Supervised Learning—0
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning—0
Classification of spherical objects based on the form function of acoustic echoes—0
Classification of Spot-welded Joints in Laser Thermography Data using Convolutional Neural Networks—0
Classification of Study Region in Environmental Science Abstracts—0
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
Classification of Things in DBpedia using Deep Neural Networks—0
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic—0
Classification of Tumor Histology via Morphometric Context—0
Classification of Tweets about Reported Events using Neural Networks—0
Classification of Two-channel Signals by Means of Genetic Programming—0
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks—0
Classification of volcanic ash particles using a convolutional neural network and probability—0
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers—0
Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module—0
Classification on Large Networks: A Quantitative Bound via Motifs and Graphons—0
Classification par paires de mention pour la r\'esolution des cor\'ef\'erences en fran parl\'e interactif (Mention-pair classification for corefence resolution on spontaneous spoken French)—0
Classification Performance Metric for Imbalance Data Based on Recall and Selectivity Normalized in Class Labels—0
Classification regions of deep neural networks—0
Classify and Generate: Using Classification Latent Space Representations for Image Generations—0
Classification revisited: a web of knowledge—0
Classifications based on response times for detecting early-stage Alzheimer's disease—0
Classification, Slippage, Failure and Discovery—0
Classification supporting COVID-19 diagnostics based on patient survey data—0
Classification Tree Diagrams in Health Informatics Applications—0
Classification Trees for Imbalanced and Sparse Data: Surface-to-Volume Regularization—0
Classification Uncertainty of Deep Neural Networks Based on Gradient Information—0
Classification under local differential privacy—0
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability—0
Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees—0
Classification using Hyperdimensional Computing: A Review—0
Classification using log Gaussian Cox processes—0
Classification Using Proximity Catch Digraphs (Technical Report)—0
Classification via an Embedded Approach—0
Classification via Tensor Decompositions of Echo State Networks—0
Classification vs regression in overparameterized regimes: Does the loss function matter?—0
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising—0
Classification with Boosting of Extreme Learning Machine Over Arbitrarily Partitioned Data—0
Classification with Extreme Learning Machine and Ensemble Algorithms Over Randomly Partitioned Data—0
Classification with imperfect training labels—0
Classification with Low Rank and Missing Data—0
Classification with many classes: challenges and pluses—0
Classification with Noisy Labels by Importance Reweighting—0
Classification with Quantum Machine Learning: A Survey—0
Classification with Rejection Based on Cost-sensitive Classification—0
Classification with Repulsion Tensors: A Case Study on Face Recognition—0
Classification with Scattering Operators—0
Classification with Sparse Overlapping Groups—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified