RadSS: A radiolarian classifier using support vector machines
Louise Ann Apostol, Edanjarlo J. Marquez, Perlita E. Gasmen, Geoffrey A. Solano · 2016
Radiolarian assemblages have played a significant role as a biostratigraphic and paleoenvironmental tool used in the geological settings. These species can be used in studying sediments lacking calcareous fossils. Easy identification of these species would allow micropaleontologists to proceed further into studying the structure and way of living of these Radiolarians. RaDSS is a decision support system that could help researchers in classifying microphotographs of Radiolarian species through image processing and machine learning algorithms such as SVM.