12 citations · 37 across the 9 of their papers we have counts for
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q-bio.GN2019
Random Forest as a Tumour Genetic Marker Extractor
Raquel Pérez-Arnal, Dario Garcia-Gasulla, David Torrents +4
Finding tumour genetic markers is essential to biomedicine due to their relevance for cancer detection and therapy development. In this paper, we explore a recently released datase…
cs.LG2019★ 6 cited
Resource-aware Elastic Swap Random Forest for Evolving Data Streams
Diego Marrón, Eduard Ayguadé, José Ramon Herrero +1
Continual learning based on data stream mining deals with ubiquitous sources of Big Data arriving at high-velocity and in real-time. Adaptive Random Forest ({\em ARF}) is a popular…