Jan Lukas Bruse

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Visual Analytics

Long Range Correlations

Temporal Analysis

Top Venues

IEEE Computer Graphics and Applications

Publications

Francesco Zola, Jan Lukas Bruse, Mikel Galar
Temporal Analysis of Distribution Shifts in Malware Classification for Digital Forensics. EuroS&P Workshops (2023)
Igor García Olaizola, Jan Lukas Bruse, Juan Odriozola, Arkaitz Artetxe, David Velásquez, Marco Quartulli, Jorge Posada
Visual Analytics Platform for Centralized COVID-19 Digital Contact Tracing. IEEE Computer Graphics and Applications 43 (1) (2023)
Francesco Zola, Lander Segurola-Gil, Jan Lukas Bruse, Mikel Galar, Raul Orduna Urrutia
Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing. Comput. Secur. 115 (2022)
Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno Geradts
Verification system based on long-range iris and Graph Siamese Neural Networks. CoRR (2022)
Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno Geradts
Verification system based on long-range iris and Graph Siamese Neural Networks. ESSE (2022)
Francesco Zola, Lander Segurola, Jan Lukas Bruse, Mikel Galar Idoate
Temporal graph-based approach for behavioural entity classification. CoRR (2021)
Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia
Generative Adversarial Networks for Bitcoin Data Augmentation. CoRR (2020)
Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia
Generative Adversarial Networks for Bitcoin Data Augmentation. BRAINS (2020)
Francesco Zola, Maria Eguimendia, Jan Lukas Bruse, Raul Orduna Urrutia
Cascading Machine Learning to Attack Bitcoin Anonymity. Blockchain (2019)
Francesco Zola, Maria Eguimendia, Jan Lukas Bruse, Raul Orduna Urrutia
Cascading Machine Learning to Attack Bitcoin Anonymity. CoRR (2019)