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Comparison of the Effect of the Generative Model on the Performance of Deep Neural Networks and Transformer in Contextual Social Bot Detect
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Improving Identification of Difficult Small Classes by Balancing Class Distribution
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Further Advantages of Data Augmentation on Convolutional Neural Networks
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Bot prediction on social networks of Twitter in altmetrics using deep graph convolutional networks
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Pre-trained models for natural language processing: A survey
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Detecting malicious activity in Twitter using deep learning techniques
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An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
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Twitter turing test: Identifying social machines
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Using generative adversarial networks for improving classification effectiveness in credit card fraud detection
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Deep neural networks for bot detection
inferredcites →https://doi.org/10.1016/j.ins.2019.11.004openalex-extracted
Data imbalance in classification: Experimental evaluation
inferredcites →https://doi.org/10.1016/j.jnca.2016.11.030openalex-extracted
Malicious accounts: Dark of the social networks
inferredcites →https://doi.org/10.1109/access.2017.2696121openalex-extracted
Smart Augmentation Learning an Optimal Data Augmentation Strategy
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Using Improved Conditional Generative Adversarial Networks to Detect Social Bots on Twitter
inferredcites →https://doi.org/10.1109/access.2021.3068659openalex-extracted
A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers
inferredcites →https://doi.org/10.1109/access.2021.3074953openalex-extracted
Tweet-Based Bot Detection Using Big Data Analytics
inferredcites →https://doi.org/10.1109/dsaa49011.2020.00089openalex-extracted
Are You Human? Detecting Bots on Twitter Using BERT
inferredcites →https://doi.org/10.1109/iciinfs.2018.8721318openalex-extracted
Detection of Social Botnet using a Trust Model based on Spam Content in Twitter Network
inferredcites →https://doi.org/10.1109/innovations.2018.8605995openalex-extracted
Detecting Social Bots on Twitter: A Literature Review
inferredcites →https://doi.org/10.1109/tit.1968.1054155openalex-extracted
The condensed nearest neighbor rule (Corresp.)
inferredcites →https://doi.org/10.1109/tkde.2012.232openalex-extracted
MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
inferredcites →https://doi.org/10.1109/tnet.2015.2494059openalex-extracted
TrueTop: A Sybil-Resilient System for User Influence Measurement on Twitter
inferredcites →https://doi.org/10.1109/tps-isa48467.2019.00021openalex-extracted
Twitter Bot Detection Using Bidirectional Long Short-Term Memory Neural Networks and Word Embeddings
inferredcites →https://doi.org/10.1109/wifs.2018.8630760openalex-extracted
Emotional Bots: Content-based Spammer Detection on Social Media
inferredcites →https://doi.org/10.1145/2808797.2809292openalex-extracted
Reverse Engineering Socialbot Infiltration Strategies in Twitter
inferredcites →https://doi.org/10.1145/3110025.3110091openalex-extracted
Classification of Twitter Accounts into Automated Agents and Human Users
inferredcites →https://doi.org/10.1371/currents.dis.ad70cd1c8bc585e9470046cde334ee4bopenalex-extracted
Twitter as a Sentinel in Emergency Situations: Lessons from the Boston Marathon Explosions
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An empirical survey of data augmentation for time series classification with neural networks
inferredcites →https://doi.org/10.1609/aaai.v31i1.10804openalex-extracted
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
inferredcites →https://doi.org/10.1609/icwsm.v11i1.14871openalex-extracted
Online Human-Bot Interactions: Detection, Estimation, and Characterization
inferredcites →https://doi.org/10.18653/v1/2020.deelio-1.4openalex-extracted
GenAug: Data Augmentation for Finetuning Text Generators
inferredcites →https://doi.org/10.18653/v1/w19-4317openalex-extracted
An Empirical Study on Pre-trained Embeddings and Language Models for Bot Detection
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Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3837/tiis.2019.11.018openalex-extracted
Detecting Malicious Social Robots with Generative Adversarial Networks
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AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
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Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-extracted
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-extracted
Sequence to Sequence Learning with Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1611.01603openalex-extracted
Bidirectional Attention Flow for Machine Comprehension
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Understanding Transformers for Bot Detection in Twitter
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