9 citations as recorded by crossref.

1. Morphometrics and machine learning discrimination of the middle Eocene radiolarian species Podocyrtis chalara, Podocyrtis goetheana and their morphological intermediates F. Pinto et al. 10.1016/j.marmicro.2023.102293
2. Artificial intelligence applied to the classification of eight middle Eocene species of the genus Podocyrtis (polycystine radiolaria) V. Carlsson et al. 10.5194/jm-41-165-2022
3. No dramatic changes observed in subtropical radiolarian plankton assemblages during the Middle Eocene Climatic Optimum (MECO); evidence from the North Atlantic ODP Site 1051 M. Meunier & T. Danelian 10.1016/j.marmicro.2023.102272
4. Early to middle eocene radiolarian biostratigraphy for the low-latitude South Atlantic Ocean (Brazil Basin, DSDP Leg 39, Site 355) A. Souza et al. 10.1016/j.jsames.2022.103860
5. New middle Eocene radiolarian species (Rhizaria, Polycystinea) from Blake Nose, subtropical western North Atlantic Ocean M. Meunier & T. Danelian 10.1017/jpa.2024.7
6. Spumellarian, collodarian, and entactinarian radiolarians observed in sediment traps from the southern Ionian Sea (eastern mediterranean) M. Cueille et al. 10.1016/j.revmic.2024.100820
7. Progress in understanding middle Eocene nassellarian (Radiolaria, Polycystinea) diversity; new insights from the western equatorial Atlantic Ocean M. Meunier & T. Danelian 10.1017/jpa.2022.82
8. Convolutional neural network application on a new middle Eocene radiolarian dataset V. Carlsson et al. 10.1016/j.marmicro.2023.102268
9. Merging databases for CNN image recognition, increasing bias or improving results? M. Tetard et al. 10.1016/j.marmicro.2023.102296