Using Artificial Intelligence for Particle Track Identification in CLAS12 Detector. - Gagik Gavalian; Polykarpos Thomadakis; Angelos Angelopoulos; Veronique Ziegler; Nikos Chrisochoides (CoRR, 2020)

Auto-encoders for Track Reconstruction in Drift Chambers for CLAS12. - Gagik Gavalian (CoRR, 2020)

Jas4pp - A data-analysis framework for physics and detector studies. - Sergei V. Chekanov; Gagik Gavalian; N. A. Graf (Comput. Phys. Commun., 2021)

De-noising drift chambers in CLAS12 using convolutional auto encoders. - Polykarpos Thomadakis; Angelos Angelopoulos; Gagik Gavalian; Nikos Chrisochoides (Comput. Phys. Commun., 2022)

Using machine learning for particle track identification in the CLAS12 detector. - Polykarpos Thomadakis; Angelos Angelopoulos; Gagik Gavalian; Nikos Chrisochoides (Comput. Phys. Commun., 2022)

Charged particle reconstruction in CLAS12 using Machine Learning. - Polykarpos Thomadakis; Kevin Garner; Gagik Gavalian; Nikos Chrisochoides (Comput. Phys. Commun., 2023)

Deep learning level-3 electron trigger for CLAS12. - R. Tyson; Gagik Gavalian; D. G. Ireland; Bryan McKinnon (Comput. Phys. Commun., 2023)

High-performance data format for scientific data storage and analysis. - Gagik Gavalian (Comput. Phys. Commun., 2025)