Paula Harder, Venkatesh Ramesh, et al.
EGU 2023
Life on earth presents elegant solutions to many of the challenges innovators and entrepreneurs across disciplines face every day. To facilitate innovations inspired by nature, there is an emerging need for systems that bring relevant biological information to this application-oriented market. In this paper, we discuss our approach to assembling a system that uses machine learning techniques to assess a scientific article's potential usefulness to innovators, and classifies these articles in a way that helps innovators find information relevant to the challenges they are attempting to solve.
Paula Harder, Venkatesh Ramesh, et al.
EGU 2023
Sejal Dua, Ioana Baldini, et al.
SDU 2021
Leonid Karlinsky, Joseph Shtok, et al.
AAAI 2021
Prasanna Sattigeri, Jayaraman J. Thiagarajan, et al.
ACSSC 2014