Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States

Nicolas Georges, Islem Rekik. Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States. In Guorong Wu 0001, Islem Rekik, Markus D. Schirmer, Ai Wern Chung, Brent C. Munsell, editors, Connectomics in NeuroImaging - Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Volume 11083 of Lecture Notes in Computer Science, pages 99-106, Springer, 2018. [doi]

Abstract

Abstract is missing.