SOTAVerified

Spam detection

Papers

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Showing 26–50 of 117 papers

TitleStatusHype
Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam DetectionCode1
Building an Effective Email Spam Classification Model with spaCy—0
Sentiment analysis and opinion mining on educational data: A survey—0
Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL)—0
Signed Latent Factors for Spamming Activity Detection—0
Modeling User Behavior With Interaction Networks for Spam DetectionCode0
Deep Sequence Models for Text Classification Tasks—0
Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural NetworksCode1
Traditional and context-specific spam detection in low resource settingsCode1
Spam Detection Using BERT—0
Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms—0
TLMOTE: A Topic-based Language Modelling Approach for Text OversamplingCode0
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection—0
Email Spam Detection Using Hierarchical Attention Hybrid Deep Learning Method—0
Convolutional Neural Networks for Image Spam Detection—0
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators—0
Universal Spam Detection using Transfer Learning of BERT Model—0
Learning with Labeling Induced Abstentions—0
An Investigation on Learning, Polluting, and Unlearning the Spam Emails for Lifelong Learning—0
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in textCode0
A new semi-supervised inductive transfer learning framework: Co-Transfer—0
SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks—0
Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam DetectionCode0
Accelerating Large Scale Real-Time GNN Inference using Channel PruningCode1
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual PatternsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERTAvg F10.86—Unverified