| Identifying floating plastic marine debris using a deep learning approach K Kylili, I Kyriakides, A Artusi, C Hadjistassou Environmental Science and Pollution Research 26, 17091-17099, 2019 | 78 | 2019 |
| An intelligent way for discerning plastics at the shorelines and the seas K Kylili, C Hadjistassou, A Artusi Environmental Science and Pollution Research 27 (34), 42631-42643, 2020 | 26 | 2020 |
| A new paradigm for estimating the prevalence of plastic litter in the marine environment K Kylili, A Artusi, C Hadjistassou Marine Pollution Bulletin 173, 113127, 2021 | 11 | 2021 |
| Deploying deep learning to estimate the abundance of marine debris from video footage C Teng, K Kylili, C Hadjistassou Marine Pollution Bulletin 183, 114049, 2022 | 9 | 2022 |
| Tracking and identifying floating marine debris K Kylili, A Artusi, I Kyriakides, C Hadjistassou 6th International Marine Debris Conference, San Diego, California, US, 2018 | 4 | 2018 |
| A New Paradigm for Estimating the Prevalence of Plastic Litter in the Marine Environment C Hadjistassou, A Artusi, K Kylili Marine Pollution Bulletin 173, 2021 | | 2021 |
| Spectroscopic Studies of Blatter Radical–Polymer Fiber Composites K KYLILI | | 2017 |
Constantinos HadjistassouUniversity of NicosiaVerified email at unic.ac.cy
