4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 4 cited
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara +2
Objective: Semantic indexing of biomedical literature is usually done at the level of MeSH descriptors with several related but distinct biomedical concepts often grouped together…
q-fin.GN2020
Analysing the resilience of the European commodity production system with PyResPro, the Python Production Resilience package
Matteo Zampieri, Andrea Toreti, Andrej Ceglar +2
This paper presents a Python object-oriented software and code to compute the annual production resilience indicator. The annual production resilience indicator can be applied to d…