The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics

no code implementations • 6 Feb 2022 • Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Khaled Rasheed, Thiab Taha, M. Hadi Amini, Hamid R. Arabnia

In this study, we present our discovery of evolutionary and nature-inspired algorithms applications in Data Science and Data Analytics in three main topics of pre-processing, supervised algorithms, and unsupervised algorithms.

Clustering feature selection

DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM

no code implementations • 18 Aug 2021 • Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini, Thiab Taha, Khaled Rasheed, Hamid R. Arabnia

Medical Imaging is one of the growing fields in the world of computer vision.

Lesion Detection Transfer Learning