SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3901–3950 of 14581 papers

TitleStatusHype
An Epistemic Approach to the Formal Specification of Statistical Machine Learning—0
Binary Classifier Inspired by Quantum Theory—0
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images—0
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment—0
Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface—0
Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification—0
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition—0
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics—0
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease—0
Cross-convolutional-layer Pooling for Image Recognition—0
Cross-Corpus Data Augmentation for Acoustic Addressee Detection—0
Cross-Country Skiing Gears Classification using Deep Learning—0
Cross-Cultural Transfer Learning for Text Classification—0
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations—0
Cross-domain Author Gender Classification in Brazilian Portuguese—0
Cross-domain CNN for Hyperspectral Image Classification—0
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification—0
Cross-domain Deep Feature Combination for Bird Species Classification with Audio-visual Data—0
Cross-Domain Detection of Abusive Language Online—0
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models—0
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics—0
Adaptive Label Smoothing—0
An Ensemble SVM-based Approach for Voice Activity Detection—0
Attention-based Transfer Learning for Brain-computer Interface—0
Cross-Domain Sentiment Classification using Vector Embedded Domain Representations—0
Cross-Domain Sentiment Classification with Target Domain Specific Information—0
Binary Classification with Classical Instances and Quantum Labels—0
Binary Classification with Bounded Abstention Rate—0
Cross-domain Text Classification with Multiple Domains and Disparate Label Sets—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
Ambiguous Proximity Distribution—0
Cross-Lingual Classification of Topics in Political Texts—0
Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence—0
Cross-lingual Data Transformation and Combination for Text Classification—0
A Comparative Study on Linguistic Feature Selection in Sentiment Polarity Classification—0
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks—0
Attention Modeling for Targeted Sentiment—0
Cross-lingual Extended Named Entity Classification of Wikipedia Articles—0
Decoding of visual-related information from the human EEG using an end-to-end deep learning approach—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—0
Cross-lingual intent classification in a low resource industrial setting—0
Cross-Lingual Mixture Model for Sentiment Classification—0
Binary classification with ambiguous training data—0
Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning—0
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees—0
Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages—0
Cross-lingual Text Classification Using Topic-Dependent Word Probabilities—0
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification—0
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning—0
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates—0
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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