3 citations · 6 across the 3 of their papers we have counts for
3 papers
Applying JEPA-Style Predictive Learning to JA4-Derived Network Fingerprints
Javier Izquierdo, Aygul Zagidullina
I-JEPA and V-JEPA learn by matching latent predictions to target encoder outputs rather than regenerating the original input, and this has worked well for images and video. We expl…
Model Bias in NLP -- Application to Hate Speech Classification using transfer learning techniques
Aygul Zagidullina, Georgios Patoulidis, Jonas Bokstaller
In this paper, a BERT based neural network model is applied to the JIGSAW data set in order to create a model identifying hateful and toxic comments (strictly seperated from offens…
Sparse Approximate Factor Estimation for High-Dimensional Covariance Matrices
Maurizio Daniele, Winfried Pohlmeier, Aygul Zagidullina
We propose a novel estimation approach for the covariance matrix based on the -regularized approximate factor model. Our sparse approximate factor (SAF) covariance estimator a…