• Asteroid Image Classification Using Convolutional Neural Networks, Autori: Cosmin Rosu, Victor Bacu; Conferința ICCP 2021, online: https://www.iccp.ro/iccp2021/accepted-papers/
  • Assessment of asteroid classification using deep convolutional neural networks, Bacu Victor, Nandra Constantin, Sabou Adrian, Stefanut Teodor, Gorgan Dorian, IEEE Transactions on Neural Networks and Learning Systems, under review
  • Exploring the Solar system and computational analysis of astronomical images for asteroids identification and recovery, Afrodita Liliana BOLDEA, Advances in Theoretical & Computational Physics Journal, 2021
  • Astronomy Teaching and the Impact of NEA Asteroids on Earth, Afrodita Liliana Boldea, Magda Stavinschi, Conference Proceedings, 11th Congress of the Balkan Geophysical Society, Oct 2021, Volume 2021, p.1 – 5, https://doi.org/10.3997/2214-4609.202149BGS55
  • Boldea, A. L.: Virtual Methods for Teaching Educational Astronomy , Europlanet Science Congress 2021, online, 13–24 Sep 2021, EPSC2021-331, https://doi.org/10.5194/epsc2021-331, 2021.


  • Asteroids classification from astronomical images using machine learning techniques, conf.dr.eng. Victor Bâcu, 2021 Research Conference of Technical University of Cluj-Napoca, October 20-22, 2021
  • GPU based machine learning techniques for classifying objects in astronomical images using CloudUT, Workshop on Big Data and Machine Learning in CloudUT, https://www.iccp.ro/iccp2021/workshops/
  • Ensemble Methods for Automated Asteroid Detection, Raul Urechiatu, Seminarul științific al departamentului de informatică din cadrul UVT (2 iunie 2021 – online) http://research.info.uvt.ro/wiki/AbstractRaulUrechiatu
  • CERES – Machine Learning Approach for the Detection of Asteroids, Raul Urechiatu, Călin Dumitrescu, Conferința Cognizant Softvision’s 7th annual Programmers’ Week – TechTalks (21 septembrie 2021 – online) link înregistrare https://www.youtube.com/watch?v=lNZAKuY9zDA