SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2451–2475 of 14581 papers

TitleStatusHype
Adversarial Examples from Cryptographic Pseudo-Random Generators—0
Adversarial examples from computational constraints—0
An Exploration of Unreliable News Classification in Brazil and The U.S—0
A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification—0
Can Character Embeddings Improve Cause-of-Death Classification for Verbal Autopsy Narratives?—0
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification—0
An exploration of algorithmic discrimination in data and classification—0
Adversarial Examples for Semantic Image Segmentation—0
An explainable deep vision system for animal classification and detection in trail-camera images with automatic post-deployment retraining—0
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics—0
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans—0
Neural Network-based Object Classification by Known and Unknown Features (Based on Text Queries)—0
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis—0
Can FCA-based Recommender System Suggest a Proper Classifier?—0
Can you tell where in India I am from? Comparing humans and computers on fine-grained race face classification—0
An experimental study of graph-based semi-supervised classification with additional node information—0
An Experimental Evaluation of Nearest Neighbour Time Series Classification—0
Adversarial Examples for Natural Language Classification Problems—0
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks—0
An Exact Algorithm for F-Measure Maximization—0
A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classification—0
A New Variational Model for Binary Classification in the Supervised Learning Context—0
A New Training Method for Feedforward Neural Networks Based on Geometric Contraction Property of Activation Functions—0
Adversarial Examples and Metrics—0
A New Strategy of Cost-Free Learning in the Class Imbalance Problem—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