Fotis Giasemis

Identifiants chercheurs

IdHAL :

fotis-giasemis

ORCID :

0000-0003-0622-1069

IdRef :

291050980

arXiv :

giasemis_f_1

Publications

Pré-publication, Document de travail (1)

Learning Traffic Anomalies from Generative Models on Real-Time Observations Fotis Giasemis,Alexandros Sopasakis 2025 Pré-publication, Document de travail hal-04928295v1

Communication dans un congrès (1)

Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb Fotis Giasemis,Vladimir Lončar,Bertrand Granado,Vladimir Vava Gligorov 23rd IEEE Interregional NEWCAS Conference (NEWCAS2025 ), Jun 2025, Paris, France. pp.533-537, ⟨10.1109/NewCAS64648.2025.11106977⟩ Communication dans un congrès hal-04934586v1

Thèse (1)

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Fotis Giasemis High Energy Physics - Experiment [hep-ex]. Sorbonne Université, 2025. English. ⟨NNT : 2025SORUS208⟩ Thèse tel-05207821v1

Article dans une revue (1)

Graph Neural Network-Based Track Finding in the LHCb Vertex Detector Anthony Correia,Fotis Giasemis,Nabil Garroum,Vladimir Vava Gligorov,Bertrand Granado Journal of Instrumentation, 2024, 19 (12), pp.P12022. ⟨10.1088/1748-0221/19/12/P12022⟩ Article dans une revue hal-04652188v1