activity
20242026
most citedStylometry recognizes human and LLM-generated texts in short samples

12 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

A BEMD-Based Quaternion Filtering Approach Sharp-to-Soft Kernel CT Image Conversion

Mahmoud Nasr, Jan K. Argasinski, Krzysztof Brzostowski +1

The quality of computed tomography (CT) images is significantly affected by the selection of reconstruction kernels: sharp kernels improve spatial resolution but increase noise, wh…

cs.HC2026

Playable Pressure: Affective Dramaturgy and Selective Realism in the Design of a VR Emergency-Response Serious Game

Jan K. Argasiński

Professional simulations stage not only procedures but models of what should command attention, which emotions belong in competent practice, and whose distress becomes part of the…

cs.HC2026

The machine can say it but cannot hear it. Designed affective patterns and the expressive-sensing asymmetry in human-machine communication

Jan K. Argasinski

Affect-adaptive systems increasingly act as communicators that sense a user's emotion and respond with events meant to change it, closing an affective loop. This vision assumes bot…

cs.CL2025★ 12 cited

Stylometry recognizes human and LLM-generated texts in short samples

Karol Przystalski, Jan K. Argasiński, Iwona Grabska-Gradzińska +1

The paper explores stylometry as a method to distinguish between texts created by Large Language Models (LLMs) and humans, addressing issues of model attribution, intellectual prop…

cs.LG2024

Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification

Agus Hartoyo, Jan Argasiński, Aleksandra Trenk +3

Covariance and Hessian matrices have been analyzed separately in the literature for classification problems. However, integrating these matrices has the potential to enhance their…