activity
20202024
most citedKnowledge-Based Dataset for Training PE Malware Detection Models

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IR2024

Social Choice for Heterogeneous Fairness in Recommendation

Amanda Aird, Elena Štefancová, Cassidy All +4

Algorithmic fairness in recommender systems requires close attention to the needs of a diverse set of stakeholders that may have competing interests. Previous work in this area has…

cs.IR2024

Data Generation via Latent Factor Simulation for Fairness-aware Re-ranking

Elena Stefancova, Cassidy All, Joshua Paup +3

Synthetic data is a useful resource for algorithmic research. It allows for the evaluation of systems under a range of conditions that might be difficult to achieve in real world s…

cs.CR2024

Semantic Data Representation for Explainable Windows Malware Detection Models

Peter Švec, Štefan Balogh, Martin Homola +3

Ontologies are a standard tool for creating semantic schemata in many knowledge intensive domains of human interest. They are becoming increasingly important also in the areas that…

cs.CR2022★ 2 cited

Knowledge-Based Dataset for Training PE Malware Detection Models

Peter Švec, Štefan Balogh, Martin Homola +1

Ontologies are a standard for semantic schemata in many knowledge-intensive domains of human interest. They are now becoming increasingly important also in areas until very recentl…

astro-ph.HE2020

Cosmic Ray Extremely Distributed Observatory

Piotr Homola, Dmitriy Beznosko, Gopal Bhatta +60

The Cosmic Ray Extremely Distributed Observatory (CREDO) is a newly formed, global collaboration dedicated to observing and studying cosmic rays (CR) and cosmic ray ensembles (CRE)…