| Hunting for Spammers: Detecting Evolved Spammers on Twitter | Dec 15, 2015 | Spam detection | —Unverified | 0 |
| Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus | Mar 29, 2024 | ManagementSpam detection | —Unverified | 0 |
| Impact of Feature Selection on Micro-Text Classification | Aug 27, 2017 | ClassificationClustering | —Unverified | 0 |
| Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution | Dec 27, 2020 | Spam detection | —Unverified | 0 |
| Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness | Mar 15, 2024 | Spam detection | —Unverified | 0 |
| Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models | Sep 25, 2024 | Fake News DetectionLanguage Modeling | —Unverified | 0 |
| Knowledge Adaptation: Teaching to Adapt | Feb 7, 2017 | Domain AdaptationKnowledge Distillation | —Unverified | 0 |
| Language and Dialect Discrimination Using Compression-Inspired Language Models | Dec 1, 2016 | Authorship AttributionDialect Identification | —Unverified | 0 |
| Learning review representations from user and product level information for spam detection | Sep 10, 2019 | Spam detection | —Unverified | 0 |
| Learning to Represent Review with Tensor Decomposition for Spam Detection | Nov 1, 2016 | Opinion MiningSpam detection | —Unverified | 0 |
| Learning with Labeling Induced Abstentions | Dec 1, 2021 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
| An Investigation on Learning, Polluting, and Unlearning the Spam Emails for Lifelong Learning | Nov 26, 2021 | Lifelong learningMachine Unlearning | —Unverified | 0 |
| Making the Most of Tweet-Inherent Features for Social Spam Detection on Twitter | Mar 25, 2015 | Spam detection | —Unverified | 0 |
| Multi-View Learning for Web Spam Detection | May 16, 2013 | ClassificationGeneral Classification | —Unverified | 0 |
| NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media | Mar 10, 2017 | Spam detection | —Unverified | 0 |
| Neyman-Pearson classification: parametrics and sample size requirement | Feb 7, 2018 | Binary ClassificationClassification | —Unverified | 0 |
| Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms | May 26, 2022 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
| Evading classifiers in discrete domains with provable optimality guarantees | Oct 25, 2018 | Adversarial RobustnessSpam detection | CodeCode Available | 0 |
| Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training | Dec 24, 2020 | Spam detection | CodeCode Available | 0 |
| Cost-Aware Robust Tree Ensembles for Security Applications | Dec 3, 2019 | Spam detection | CodeCode Available | 0 |
| EMFET: E-mail Features Extraction Tool | Nov 22, 2017 | BIG-bench Machine LearningSpam detection | CodeCode Available | 0 |
| Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection | Jul 13, 2021 | Adversarial AttackSpam detection | CodeCode Available | 0 |
| Modeling User Behavior With Interaction Networks for Spam Detection | Jul 21, 2022 | Spam detection | CodeCode Available | 0 |
| Detecting value-expressive text posts in Russian social media | Dec 14, 2023 | Active LearningSpam detection | CodeCode Available | 0 |
| GANs for Semi-Supervised Opinion Spam Detection | Mar 19, 2019 | General ClassificationGenerative Adversarial Network | CodeCode Available | 0 |