12 citations · 16 across the 6 of their papers we have counts for
6 papers
Monitoring the evolution of antisemitic discourse on extremist social media using BERT
Raza Ul Mustafa, Nathalie Japkowicz
Racism and intolerance on social media contribute to a toxic online environment which may spill offline to foster hatred, and eventually lead to physical violence. That is the case…
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media
Dhanush Kikkisetti, Raza Ul Mustafa, Wendy Melillo +4
Online hate speech proliferation has created a difficult problem for social media platforms. A particular challenge relates to the use of coded language by groups interested in bot…
Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms
Shoffan Saifullah, Rafal Drezewski, Anton Yudhana +7
This study explored the application of CNN-Transfer Learning for nondestructive chicken egg fertility detection for precision poultry hatchery practices. Four models, VGG16, ResNet…
A Semi-Supervised Framework for Misinformation Detection
Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
The spread of misinformation in social media outlets has become a prevalent societal problem and is the cause of many kinds of social unrest. Curtailing its prevalence is of great…
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
Kamil Faber, Dominik Zurek, Marcin Pietron +3
Continual learning (CL) is one of the most promising trends in recent machine learning research. Its goal is to go beyond classical assumptions in machine learning and develop mode…
In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
Evan Crothers, Herna Viktor, Nathalie Japkowicz
We apply a large multilingual language model (BLOOM-176B) in open-ended generation of Chinese song lyrics, and evaluate the resulting lyrics for coherence and creativity using huma…