Search Results for author:
Found 4 papers, 2 papers with code
An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron
This paper proposes an Intrusion Detection System (IDS) employing the Harris Hawks Optimization algorithm (HHO) to optimize Multilayer Perceptron learning by optimizing bias and weight parameters.
Understanding writing style in social media with a supervised contrastively pre-trained transformer
Additionally, we attain promising results on PAN verification challenges using a single dense layer, with our model serving as an embedding encoder.
PART: Pre-trained Authorship Representation Transformer
The model is evaluated on these datasets, achieving zero-shot 72. 39\% and 86. 73\% accuracy and top-5 accuracy respectively on the joint evaluation dataset when determining authorship from a set of 250 different authors.
BERTuit: Understanding Spanish language in Twitter through a native transformer
Our motivation is to provide a powerful resource to better understand Spanish Twitter and to be used on applications focused on this social network, with special emphasis on solutions devoted to tackle the spreading of misinformation in this platform.
