SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 14201–14250 of 14581 papers

TitleStatusHype
Binary output layer of feedforward neural networks for solving multi-class classification problems—0
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification—0
Binary Sine Cosine Algorithms for Feature Selection from Medical Data—0
Binary Stochastic Representations for Large Multi-class Classification—0
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification—0
Bioacoustical Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection—0
Bioacoustic Signal Classification Based on Continuous Region Processing, Grid Masking and Artificial Neural Network—0
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification—0
Biologically Inspired Feedforward Supervised Learning for Deep Self-Organizing Map Networks—0
Biologically Inspired Radio Signal Feature Extraction with Sparse Denoising Autoencoders—0
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks—0
Biologically Plausible Learning of Text Representation with Spiking Neural Networks—0
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification—0
Biomedical Event Extraction by Multi-class Classification of Pairs of Text Entities—0
Biomedical Relation Classification by single and multiple source domain adaptation—0
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation—0
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization—0
Biosensors and Machine Learning for Enhanced Detection, Stratification, and Classification of Cells: A Review—0
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets—0
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection—0
Bi-Transferring Deep Neural Networks for Domain Adaptation—0
Black-box Adversarial ML Attack on Modulation Classification—0
Black Box Algorithm Selection by Convolutional Neural Network—0
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space—0
Black-box Model Inversion Attribute Inference Attacks on Classification Models—0
Blessing of dimensionality at the edge—0
Blind Modulation Classification based on MLP and PNN—0
Blind Modulation Classification via Combined Machine Learning and Signal Feature Extraction—0
Blind Multiclass Ensemble Classification—0
Blitzkriging: Kronecker-structured Stochastic Gaussian Processes—0
Blockout: Dynamic Model Selection for Hierarchical Deep Networks—0
Blocks That Shout: Distinctive Parts for Scene Classification—0
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks—0
Block-wise Partitioning for Extreme Multi-label Classification—0
Body movement to sound interface with vector autoregressive hierarchical hidden Markov models—0
Bombus Species Image Classification—0
Bone marrow cells detection: A technique for the microscopic image analysis—0
Boolean Decision Rules via Column Generation—0
Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose—0
Boosted Markov Networks for Activity Recognition—0
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique—0
Boosting as a kernel-based method—0
Boosting Classifier Cascades—0
Boosting Convolutional Features for Robust Object Proposals—0
Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing—0
Boosting Deep Transfer Learning for COVID-19 Classification—0
Boosting in the presence of outliers: adaptive classification with non-convex loss functions—0
Boosting rare benthic macroinvertebrates taxa identification with one-class classification—0
Boosting Ridge Regression for High Dimensional Data Classification—0
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs—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