2 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 2 cited
Simulation-supervised deep learning for analysing organelles states and behaviour in living cells
Arif Ahmed Sekh, Ida S. Opstad, Rohit Agarwal +5
In many real-world scientific problems, generating ground truth (GT) for supervised learning is almost impossible. The causes include limitations imposed by scientific instrument,…
cs.LG2020★ 1 cited
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal +1
Streaming classification methods assume the number of input features is fixed and always received. But in many real-world scenarios demand is some input features are reliable while…